Hundreds of variants clustered in genomic loci and biological pathways affect human height (original) (raw)

Nature. Author manuscript; available in PMC 2011 Apr 14.

Published in final edited form as:

PMCID: PMC2955183

NIHMSID: NIHMS225625

Hana Lango Allen,1,* Karol Estrada,2,3,4,* Guillaume Lettre,5,6,* Sonja I. Berndt,7,* Michael N. Weedon,1,* Fernando Rivadeneira,2,3,4,* Cristen J. Willer,8 Anne U. Jackson,8 Sailaja Vedantam,9,10 Soumya Raychaudhuri,11,12 Teresa Ferreira,13 Andrew R. Wood,1 Robert J. Weyant,8 Ayellet V. Segrè,11,14,15 Elizabeth K. Speliotes,10,16 Eleanor Wheeler,17 Nicole Soranzo,17,18 Ju-Hyun Park,7 Jian Yang,19 Daniel Gudbjartsson,20 Nancy L. Heard-Costa,21 Joshua C. Randall,13 Lu Qi,22,23 Albert Vernon Smith,24,25 Reedik Mägi,13 Tomi Pastinen,26,27,28 Liming Liang,29 Iris M. Heid,30,31 Jian'an Luan,32 Gudmar Thorleifsson,20 Thomas W. Winkler,30 Michael E. Goddard,33,34 Ken Sin Lo,5 Cameron Palmer,9,10 Tsegaselassie Workalemahu,22 Yurii S. Aulchenko,2,4 Åsa Johansson,35,36 M.Carola Zillikens,3 Mary F. Feitosa,37 Tõnu Esko,38,39,40 Toby Johnson,41,42,43,44 Shamika Ketkar,37 Peter Kraft,45,46 Massimo Mangino,18 Inga Prokopenko,13,47 Devin Absher,48 Eva Albrecht,31 Florian Ernst,49 Nicole L. Glazer,50 Caroline Hayward,51 Jouke-Jan Hottenga,52 Kevin B. Jacobs,53 Joshua W. Knowles,54 Zoltán Kutalik,41,42 Keri L. Monda,55 Ozren Polasek,56,57 Michael Preuss,58 Nigel W. Rayner,13,47 Neil R. Robertson,13,47 Valgerdur Steinthorsdottir,20 Jonathan P. Tyrer,59 Benjamin F. Voight,11,14,15 Fredrik Wiklund,60 Jianfeng Xu,61 Jing Hua Zhao,32 Dale R. Nyholt,62 Niina Pellikka,63,64 Markus Perola,63,64 John R.B. Perry,1 Ida Surakka,63,64 Mari-Liis Tammesoo,38 Elizabeth L. Altmaier,9,10 Najaf Amin,2 Thor Aspelund,24,25 Tushar Bhangale,65 Gabrielle Boucher,5 Daniel I. Chasman,66,67 Constance Chen,68 Lachlan Coin,69 Matthew N. Cooper,70 Anna L. Dixon,71 Quince Gibson,72 Elin Grundberg,17,26,27 Ke Hao,73 M. Juhani Junttila,74 Lee M. Kaplan,16,67,75 Johannes Kettunen,63,64 Inke R. König,58 Tony Kwan,26,27 Robert W. Lawrence,70 Douglas F. Levinson,76 Mattias Lorentzon,77 Barbara McKnight,78 Andrew P. Morris,13 Martina Müller,31,79,80 Julius Suh Ngwa,81 Shaun Purcell,14,82,83 Suzanne Rafelt,84 Rany M. Salem,9,10 Erika Salvi,85,86 Serena Sanna,87 Jianxin Shi,7 Ulla Sovio,69 John R. Thompson,88,89 Michael C. Turchin,9,10 Liesbeth Vandenput,77 Dominique J. Verlaan,26,27 Veronique Vitart,51 Charles C. White,81 Andreas Ziegler,90 Peter Almgren,91 Anthony J. Balmforth,92 Harry Campbell,93 Lorena Citterio,94 Alessandro De Grandi,95 Anna Dominiczak,96 Jubao Duan,97 Paul Elliott,69 Roberto Elosua,98 Johan G. Eriksson,99,100,101,102,103 Nelson B. Freimer,104 Eco J.C. Geus,52 Nicola Glorioso,105 Shen Haiqing,72 Anna-Liisa Hartikainen,106 Aki S. Havulinna,107 Andrew A. Hicks,95 Jennie Hui,70,108,109 Wilmar Igl,35 Thomas Illig,31 Antti Jula,110 Eero Kajantie,100 Tuomas O. Kilpeläinen,32 Markku Koiranen,111 Ivana Kolcic,56 Seppo Koskinen,107 Peter Kovacs,112 Jaana Laitinen,113 Jianjun Liu,114 Marja-Liisa Lokki,115 Ana Marusic,116 Andrea Maschio,87 Thomas Meitinger,117,118 Antonella Mulas,87 Guillaume Paré,119 Alex N. Parker,120 John F. Peden,13,121 Astrid Petersmann,122 Irene Pichler,95 Kirsi H. Pietiläinen,123,124 Anneli Pouta,106,125 Martin Ridderstråle,126 Jerome I. Rotter,127 Jennifer G. Sambrook,128,129 Alan R. Sanders,97 Carsten Oliver Schmidt,130 Juha Sinisalo,131 Jan H. Smit,132 Heather M. Stringham,8 G.Bragi Walters,20 Elisabeth Widen,63 Sarah H. Wild,93 Gonneke Willemsen,52 Laura Zagato,94 Lina Zgaga,56 Paavo Zitting,133 Helene Alavere,38 Martin Farrall,13,121,134 Wendy L. McArdle,135 Mari Nelis,38,39,40 Marjolein J. Peters,3,4 Samuli Ripatti,63,64 Joyce B.J. van Meurs,2,3,4 Katja K. Aben,136 Kristin G Ardlie,11 Jacques S. Beckmann,41,137 John P. Beilby,108,109,138 Richard N. Bergman,139 Sven Bergmann,41,42 Francis S. Collins,140 Daniele Cusi,85 Martin den Heijer,141 Gudny Eiriksdottir,24 Pablo V. Gejman,97 Alistair S. Hall,92 Anders Hamsten,142 Heikki V. Huikuri,74,74 Carlos Iribarren,143,144 Mika Kähönen,145 Jaakko Kaprio,63,123,146 Sekar Kathiresan,11,14,147,148,149 Lambertus Kiemeney,136,150,151 Thomas Kocher,152 Lenore J. Launer,153 Terho Lehtimäki,154 Olle Melander,126 Tom H. Mosley, Jr,155 Arthur W. Musk,109,156 Markku S. Nieminen,131,131 Christopher J. O'Donnell,148,157 Claes Ohlsson,77 Ben Oostra,158 Lyle J. Palmer,70,109 Olli Raitakari,159 Paul M. Ridker,66,67 John D. Rioux,5,6 Aila Rissanen,124 Carlo Rivolta,41 Heribert Schunkert,160 Alan R. Shuldiner,72,161 David S. Siscovick,162,163 Michael Stumvoll,164,165 Anke Tönjes,164,166 Jaakko Tuomilehto,167,168,169 Gert-Jan van Ommen,170 Jorma Viikari,171 Andrew C. Heath,172 Nicholas G. Martin,173 Grant W. Montgomery,174 Michael A. Province,37,175 Manfred Kayser,176 Alice M. Arnold,78,177 Larry D. Atwood,21 Eric Boerwinkle,178 Stephen J. Chanock,7 Panos Deloukas,17 Christian Gieger,31 Henrik Grönberg,60 Per Hall,60 Andrew T. Hattersley,1 Christian Hengstenberg,179,180 Wolfgang Hoffman,130 G.Mark Lathrop,181 Veikko Salomaa,107 Stefan Schreiber,182 Manuela Uda,87 Dawn Waterworth,183 Alan F. Wright,51 Themistocles L. Assimes,54 Inês Barroso,17,184 Albert Hofman,2,4 Karen L. Mohlke,185 Dorret I. Boomsma,52 Mark J. Caulfield,44 L.Adrienne Cupples,81 Jeanette Erdmann,160 Caroline S. Fox,186 Vilmundur Gudnason,24,25 Ulf Gyllensten,35 Tamara B. Harris,153 Richard B. Hayes,187 Marjo-Riitta Jarvelin,69,111,125,188 Vincent Mooser,183 Patricia B. Munroe,44 Willem H. Ouwehand,17,128,129 Brenda W. Penninx,132,189,190 Peter P. Pramstaller,95,191,192 Thomas Quertermous,54 Igor Rudan,51,116 Nilesh J. Samani,84,88 Timothy D. Spector,18 Henry Völzke,130 Hugh Watkins,13,121, Procardis Consortium James F. Wilson,93 Leif C. Groop,91 Talin Haritunians,127 Frank B. Hu,22,23,45 Robert C. Kaplan,193 Andres Metspalu,38,39,40 Kari E. North,55,194 David Schlessinger,195 Nicholas J. Wareham,32 David J. Hunter,22,23,45 Jeffrey R. O'Connell,72 David P. Strachan,196 H.-Erich Wichmann,31,80,197 Ingrid B. Borecki,37,175 Cornelia M. van Duijn,2,4 Eric E. Schadt,198,199 Unnur Thorsteinsdottir,20,200 Leena Peltonen,17,63,64,82,201 André Uitterlinden,2,3,4 Peter M. Visscher,19 Nilanjan Chatterjee,7 Ruth J.F. Loos,32 Michael Boehnke,8 Mark I. McCarthy,13,47,202 Erik Ingelsson,60 Cecilia M. Lindgren,13,47 Gonçalo R. Abecasis,8,* Kari Stefansson,20,200,* Timothy M. Frayling,1,* and Joel N Hirschhorn9,10,203,*, for the GIANT Consortium

Hana Lango Allen

1 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK

Karol Estrada

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

3 Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Guillaume Lettre

5 Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada

6 Department of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada

Sonja I. Berndt

7 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA

Michael N. Weedon

1 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK

Fernando Rivadeneira

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

3 Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Cristen J. Willer

8 Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA

Anne U. Jackson

8 Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA

Sailaja Vedantam

9 Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, Massachusetts 02115, USA

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

Soumya Raychaudhuri

11 Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA

12 Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115 USA

Teresa Ferreira

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

Andrew R. Wood

1 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK

Robert J. Weyant

8 Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA

Ayellet V. Segrè

11 Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA

14 Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

15 Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

Elizabeth K. Speliotes

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

16 Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

Eleanor Wheeler

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

Nicole Soranzo

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

18 Department of Twin Research and Genetic Epidemiology, King's College London, Lambeth Palace Rd, London, SE1 7EH, UK

Ju-Hyun Park

7 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA

Jian Yang

19 Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

Daniel Gudbjartsson

20 deCODE Genetics, 101 Reykjavik, Iceland

Nancy L. Heard-Costa

21 Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA

Joshua C. Randall

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

Lu Qi

22 Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA

23 Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA

Find articles by Lu Qi

Albert Vernon Smith

24 Icelandic Heart Association, Kopavogur, Iceland

25 University of Iceland, Reykjavik, Iceland

Reedik Mägi

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

Tomi Pastinen

26 McGill University and Genome Québec Innovation Centre, Montréal, Québec H3A 1A4, Canada

27 Department of Human Genetics, McGill University Health Centre, McGill University, Montréal, Québec H3G 1A4, Canada

28 Department of Medical Genetics, McGill University Health Centre, McGill University, Montréal, Québec H3G 1A4, Canada

Liming Liang

29 Departments of Epidemiology and Biostatistics, Harvard School of Public Health, Cambridge, Massachusetts 02138, USA

Iris M. Heid

30 Regensburg University Medical Center, Department of Epidemiology and Preventive Medicine, 93053 Regensburg, Germany

31 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

Jian'an Luan

32 MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK

Gudmar Thorleifsson

20 deCODE Genetics, 101 Reykjavik, Iceland

Thomas W. Winkler

30 Regensburg University Medical Center, Department of Epidemiology and Preventive Medicine, 93053 Regensburg, Germany

Michael E. Goddard

33 University of Melbourne, Parkville 3010, Australia

34 Department of Primary Industries, Melbourne, Victoria 3001, Australia

Ken Sin Lo

5 Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada

Cameron Palmer

9 Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, Massachusetts 02115, USA

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

Tsegaselassie Workalemahu

22 Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA

Yurii S. Aulchenko

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Åsa Johansson

35 Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, SE-75185 Uppsala, Sweden

36 Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, N-7489, Norway

M.Carola Zillikens

3 Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands

Mary F. Feitosa

37 Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA

Tõnu Esko

38 Estonian Genome Center, University of Tartu, Tartu 50410, Estonia

39 Estonian Biocenter, Tartu 51010, Estonia

40 Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia

Toby Johnson

41 Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland

42 Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland

43 Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK

44 Clinical Pharmacology and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK

Shamika Ketkar

37 Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA

Peter Kraft

45 Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA

46 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA

Massimo Mangino

18 Department of Twin Research and Genetic Epidemiology, King's College London, Lambeth Palace Rd, London, SE1 7EH, UK

Inga Prokopenko

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

47 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK

Devin Absher

48 Hudson Alpha Institute for Biotechnology, Huntsville, Alabama 35806, USA

Eva Albrecht

31 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

Florian Ernst

49 Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, 17487 Greifswald, Germany

Nicole L. Glazer

50 Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, Washington 98101, USA

Caroline Hayward

51 MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, Scotland, UK

Jouke-Jan Hottenga

52 Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands

Kevin B. Jacobs

53 Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland 21702, USA

Joshua W. Knowles

54 Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA

Zoltán Kutalik

41 Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland

42 Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland

Keri L. Monda

55 Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514 USA

Ozren Polasek

56 Andrija Stampar School of Public Health, Medical School, University of Zagreb, 10000 Zagreb, Croatia

57 Gen-Info Ltd, 10000 Zagreb, Croatia

Michael Preuss

58 Universität zu Lübeck, Institut für Medizinische Biometrie und Statistik, 23562 Lübeck, Germany

Nigel W. Rayner

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

47 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK

Neil R. Robertson

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

47 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK

Valgerdur Steinthorsdottir

20 deCODE Genetics, 101 Reykjavik, Iceland

Jonathan P. Tyrer

59 Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK

Benjamin F. Voight

11 Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA

14 Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

15 Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

Fredrik Wiklund

60 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden

Jianfeng Xu

61 Center for Human Genomics, Wake Forest University, Winston-Salem, North Carolina 27157, USA

Jing Hua Zhao

32 MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK

Dale R. Nyholt

62 Neurogenetics Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

Niina Pellikka

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

64 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland

Markus Perola

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

64 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland

John R.B. Perry

1 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK

Ida Surakka

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

64 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland

Mari-Liis Tammesoo

38 Estonian Genome Center, University of Tartu, Tartu 50410, Estonia

Elizabeth L. Altmaier

9 Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, Massachusetts 02115, USA

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

Najaf Amin

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

Thor Aspelund

24 Icelandic Heart Association, Kopavogur, Iceland

25 University of Iceland, Reykjavik, Iceland

Tushar Bhangale

65 Department of Genome Sciences, University of Washington, Seattle, 98195 Washington, USA

Gabrielle Boucher

5 Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada

Daniel I. Chasman

66 Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA

67 Harvard Medical School, Boston, Massachusetts 02115, USA

Constance Chen

68 Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA

Lachlan Coin

69 Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK

Matthew N. Cooper

70 Centre for Genetic Epidemiology and Biostatistics, University of Western Australia, Crawley, Western Australia 6009, Australia

Anna L. Dixon

71 Royal National Hospital for Rheumatic Diseases and University of Bath, Bath, BA1 1RL, UK

Quince Gibson

72 Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

Elin Grundberg

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

26 McGill University and Genome Québec Innovation Centre, Montréal, Québec H3A 1A4, Canada

27 Department of Human Genetics, McGill University Health Centre, McGill University, Montréal, Québec H3G 1A4, Canada

Ke Hao

73 Genetics Department, Rosetta Inpharmatics, a Wholly Owned Subsidiary of Merck & Co. Inc., Seattle, Washington 98109, USA

M. Juhani Junttila

74 Department of Internal Medicine, University of Oulu, 90014 Oulu, Finland

Lee M. Kaplan

16 Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

67 Harvard Medical School, Boston, Massachusetts 02115, USA

75 MGH Weight Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

Johannes Kettunen

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

64 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland

Inke R. König

58 Universität zu Lübeck, Institut für Medizinische Biometrie und Statistik, 23562 Lübeck, Germany

Tony Kwan

26 McGill University and Genome Québec Innovation Centre, Montréal, Québec H3A 1A4, Canada

27 Department of Human Genetics, McGill University Health Centre, McGill University, Montréal, Québec H3G 1A4, Canada

Robert W. Lawrence

70 Centre for Genetic Epidemiology and Biostatistics, University of Western Australia, Crawley, Western Australia 6009, Australia

Douglas F. Levinson

76 Stanford University School of Medicine, Stanford, California 93405, USA

Mattias Lorentzon

77 Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden

Barbara McKnight

78 Departments of Biostatistics, University of Washington, Seattle, Washington 98195, USA

Andrew P. Morris

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

Martina Müller

31 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

79 Ludwig-Maximilians-University, Department of Medicine I, University Hospital Grosshadern, 81377 Munich, Germany

80 Ludwig-Maximilians-Universität, Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, 81377 Munich, Germany

Julius Suh Ngwa

81 Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA

Shaun Purcell

14 Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

82 The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA

83 Department of Psychiatry, Harvard Medical School, Boston, Massachusetts 02115, USA

Suzanne Rafelt

84 Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, LE3 9QP, UK

Rany M. Salem

9 Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, Massachusetts 02115, USA

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

Erika Salvi

85 University of Milan, Department of Medicine, Surgery and Dentistry, 20139 Milano, Italy

86 KOS Genetic Srl, 20123 Milan, Italy

Serena Sanna

87 Istituto di Neurogenetica e Neurofarmacologia del CNR, Monserrato, 09042, Cagliari, Italy

Jianxin Shi

7 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA

Ulla Sovio

69 Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK

John R. Thompson

88 Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK

89 Department of Health Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK

Michael C. Turchin

9 Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, Massachusetts 02115, USA

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

Liesbeth Vandenput

77 Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden

Dominique J. Verlaan

26 McGill University and Genome Québec Innovation Centre, Montréal, Québec H3A 1A4, Canada

27 Department of Human Genetics, McGill University Health Centre, McGill University, Montréal, Québec H3G 1A4, Canada

Veronique Vitart

51 MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, Scotland, UK

Charles C. White

81 Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA

Andreas Ziegler

90 Universität zu Lübeck, Institut für Medizinische Biometrie und Statistik, 23562 Lübeck, Germany

Peter Almgren

91 Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden

Anthony J. Balmforth

92 Multidisciplinary Cardiovascular Research Centre (MCRC), Leeds Institute of Genetics, Health and Therapeutics (LIGHT), University of Leeds, Leeds LS2 9JT, UK

Harry Campbell

93 Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland

Lorena Citterio

94 University Vita-Salute San Raffaele, Division of Nephrology and Dialysis, 20132 Milan, Italy

Alessandro De Grandi

95 Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy. Affiliated Institute of the University of Lübeck, Lübeck, Germany

Anna Dominiczak

96 British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK

Jubao Duan

97 Northshore University Healthsystem, Evanston, Ilinois 60201, USA

Paul Elliott

69 Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK

Roberto Elosua

98 Cardiovascular Epidemiology and Genetics, Institut Municipal D'investigacio Medica and CIBER Epidemiología y Salud Pública, Barcelona, Spain

Johan G. Eriksson

99 Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland

100 National Institute for Health and Welfare, 00271 Helsinki, Finland

101 Helsinki University Central Hospital, Unit of General Practice, 00280 Helsinki, Finland

102 Folkhalsan Research Centre, 00250 Helsinki, Finland

103 Vasa Central Hospital, 65130 Vasa, Finland

Nelson B. Freimer

104 Center for Neurobehavioral Genetics, University of California, Los Angeles, California 90095, USA

Eco J.C. Geus

52 Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands

Nicola Glorioso

105 Hypertension and Cardiovascular Prevention Center, University of Sassari, 07100 Sassari, Italy

Shen Haiqing

72 Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

Anna-Liisa Hartikainen

106 Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, 90014 Oulu, Finland

Aki S. Havulinna

107 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00014, Helsinki, Finland

Andrew A. Hicks

95 Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy. Affiliated Institute of the University of Lübeck, Lübeck, Germany

Jennie Hui

70 Centre for Genetic Epidemiology and Biostatistics, University of Western Australia, Crawley, Western Australia 6009, Australia

108 PathWest Laboratory of Western Australia, Department of Molecular Genetics, J Block, QEII Medical Centre, Nedlands, Western Australia 6009, Australia

109 Busselton Population Medical Research Foundation Inc., Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia

Wilmar Igl

35 Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, SE-75185 Uppsala, Sweden

Thomas Illig

31 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

Antti Jula

110 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Population Studies Unit, 20720 Turku, Finland

Eero Kajantie

100 National Institute for Health and Welfare, 00271 Helsinki, Finland

Tuomas O. Kilpeläinen

32 MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK

Markku Koiranen

111 Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland

Ivana Kolcic

56 Andrija Stampar School of Public Health, Medical School, University of Zagreb, 10000 Zagreb, Croatia

Seppo Koskinen

107 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00014, Helsinki, Finland

Peter Kovacs

112 Interdisciplinary Centre for Clinical Research, University of Leipzig, 04103 Leipzig, Germany

Jaana Laitinen

113 Finnish Institute of Occupational Health, 90220 Oulu, Finland

Jianjun Liu

114 Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore

Marja-Liisa Lokki

115 Transplantation Laboratory, Haartman Institute, University of Helsinki, 00014, Helsinki, Finland

Ana Marusic

116 Croatian Centre for Global Health, School of Medicine, University of Split, Split 21000, Croatia

Andrea Maschio

87 Istituto di Neurogenetica e Neurofarmacologia del CNR, Monserrato, 09042, Cagliari, Italy

Thomas Meitinger

117 Institute of Human Genetics, Klinikum rechts der Isar der Technischen Universität München, 81675 Munich, Germany

118 Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

Antonella Mulas

87 Istituto di Neurogenetica e Neurofarmacologia del CNR, Monserrato, 09042, Cagliari, Italy

Guillaume Paré

119 Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario L8N3Z5, Canada

Alex N. Parker

120 Amgen, Cambridge, Massachusetts 02139, USA

John F. Peden

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

121 Department of Cardiovascular Medicine, University of Oxford, Level 6 West Wing, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU

Astrid Petersmann

122 Institut für Klinische Chemie und Laboratoriumsmedizin, Universität Greifswald, 17475 Greifswald, Germany

Irene Pichler

95 Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy. Affiliated Institute of the University of Lübeck, Lübeck, Germany

Kirsi H. Pietiläinen

123 Finnish Twin Cohort Study, Department of Public Health, University of Helsinki, 00014, Helsinki, Finland

124 Obesity Research unit, Department of Psychiatry, Helsinki University Central Hospital, Helsinki, Finland

Anneli Pouta

106 Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, 90014 Oulu, Finland

125 National Institute for Health and Welfare, 90101 Oulu, Finland

Martin Ridderstråle

126 Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden

Jerome I. Rotter

127 Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA

Jennifer G. Sambrook

128 Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK

129 NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK

Alan R. Sanders

97 Northshore University Healthsystem, Evanston, Ilinois 60201, USA

Carsten Oliver Schmidt

130 Institut für Community Medicine, 17489 Greifswald, Germany

Juha Sinisalo

131 Division of Cardiology, Cardiovascular Laboratory, Helsinki University Central Hospital, 00029 Helsinki, Finland

Jan H. Smit

132 Department of Psychiatry/EMGO Institute, VU University Medical Center, 1081 BT Amsterdam, The Netherlands

Heather M. Stringham

8 Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA

G.Bragi Walters

20 deCODE Genetics, 101 Reykjavik, Iceland

Elisabeth Widen

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

Sarah H. Wild

93 Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland

Gonneke Willemsen

52 Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands

Laura Zagato

94 University Vita-Salute San Raffaele, Division of Nephrology and Dialysis, 20132 Milan, Italy

Lina Zgaga

56 Andrija Stampar School of Public Health, Medical School, University of Zagreb, 10000 Zagreb, Croatia

Paavo Zitting

133 Department of Psychiatrics, Lapland Central Hospital, 96101 Rovaniemi, Finland

Helene Alavere

38 Estonian Genome Center, University of Tartu, Tartu 50410, Estonia

Martin Farrall

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

121 Department of Cardiovascular Medicine, University of Oxford, Level 6 West Wing, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU

134 Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK

Wendy L. McArdle

135 Avon Longitudinal Study of Parents and Children (ALSPAC) Laboratory, Department of Social Medicine, University of Bristol, Bristol, BS8 2BN, UK

Mari Nelis

38 Estonian Genome Center, University of Tartu, Tartu 50410, Estonia

39 Estonian Biocenter, Tartu 51010, Estonia

40 Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia

Marjolein J. Peters

3 Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Samuli Ripatti

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

64 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland

Joyce B.J. van Meurs

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

3 Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Katja K. Aben

136 Comprehensive Cancer Center East, 6501 BG Nijmegen, The Netherlands

Kristin G Ardlie

11 Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA

Jacques S. Beckmann

41 Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland

137 Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois (CHUV) University Hospital, 1011 Lausanne, Switzerland

John P. Beilby

108 PathWest Laboratory of Western Australia, Department of Molecular Genetics, J Block, QEII Medical Centre, Nedlands, Western Australia 6009, Australia

109 Busselton Population Medical Research Foundation Inc., Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia

138 School of Pathology and Laboratory Medicine, University of Western Australia, Nedlands, Western Australia 6009, Australia

Richard N. Bergman

139 Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA

Sven Bergmann

41 Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland

42 Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland

Francis S. Collins

140 National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA

Daniele Cusi

85 University of Milan, Department of Medicine, Surgery and Dentistry, 20139 Milano, Italy

Martin den Heijer

141 Department of Endocrinology, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands

Gudny Eiriksdottir

24 Icelandic Heart Association, Kopavogur, Iceland

Pablo V. Gejman

97 Northshore University Healthsystem, Evanston, Ilinois 60201, USA

Alistair S. Hall

92 Multidisciplinary Cardiovascular Research Centre (MCRC), Leeds Institute of Genetics, Health and Therapeutics (LIGHT), University of Leeds, Leeds LS2 9JT, UK

Anders Hamsten

142 Atherosclerosis Research Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden

Heikki V. Huikuri

74 Department of Internal Medicine, University of Oulu, 90014 Oulu, Finland

Carlos Iribarren

143 Division of Research, Kaiser Permanente Northern California, Oakland, California 94612, USA

144 Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California 94107, USA

Mika Kähönen

145 Department of Clinical Physiology, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland

Jaakko Kaprio

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

123 Finnish Twin Cohort Study, Department of Public Health, University of Helsinki, 00014, Helsinki, Finland

146 National Institute for Health and Welfare, Department of Mental Health and Substance Abuse Services, Unit for Child and Adolescent Mental Health, 00271 Helsinki, Finland

Sekar Kathiresan

11 Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA

14 Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

147 Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

148 Framingham Heart Study of the National, Heart, Lung, and Blood Institute and Boston University, Framingham, Massachusetts 01702, USA

149 Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA

Lambertus Kiemeney

136 Comprehensive Cancer Center East, 6501 BG Nijmegen, The Netherlands

150 Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands

151 Department of Urology, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands

Thomas Kocher

152 Zentrum für Zahn-, Mund- und Kieferheilkunde, 17489 Greifswald, Germany

Lenore J. Launer

153 Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA

Terho Lehtimäki

154 Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland

Olle Melander

126 Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden

Tom H. Mosley, Jr

155 Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, Mississippi 39216, USA

Arthur W. Musk

109 Busselton Population Medical Research Foundation Inc., Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia

156 School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia 6009, Australia

Markku S. Nieminen

131 Division of Cardiology, Cardiovascular Laboratory, Helsinki University Central Hospital, 00029 Helsinki, Finland

Christopher J. O'Donnell

148 Framingham Heart Study of the National, Heart, Lung, and Blood Institute and Boston University, Framingham, Massachusetts 01702, USA

157 National, Lung, and Blood Institute, National Institutes of Health, Framingham, Massachusetts 01702, USA

Claes Ohlsson

77 Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden

Ben Oostra

158 Department of Clinical Genetics, Erasmus MC, Rotterdam, 3015GE, The Netherlands

Lyle J. Palmer

70 Centre for Genetic Epidemiology and Biostatistics, University of Western Australia, Crawley, Western Australia 6009, Australia

109 Busselton Population Medical Research Foundation Inc., Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia

Olli Raitakari

159 Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and the Department of Clinical Physiology, Turku University Hospital, 20520 Turku, Finland

Paul M. Ridker

66 Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA

67 Harvard Medical School, Boston, Massachusetts 02115, USA

John D. Rioux

5 Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada

6 Department of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada

Aila Rissanen

124 Obesity Research unit, Department of Psychiatry, Helsinki University Central Hospital, Helsinki, Finland

Carlo Rivolta

41 Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland

Heribert Schunkert

160 Universität zu Lübeck, Medizinische Klinik II, 23562 Lübeck, Germany

Alan R. Shuldiner

72 Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

161 Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, Maryland 21201, USA

David S. Siscovick

162 Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA

163 Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington 98195, USA

Michael Stumvoll

164 Department of Medicine, University of Leipzig, 04103 Leipzig, Germany

165 LIFE Study Centre, University of Leipzig, Leipzig, Germany

Anke Tönjes

164 Department of Medicine, University of Leipzig, 04103 Leipzig, Germany

166 Coordination Centre for Clinical Trials, University of Leipzig, Härtelstr. 16-18, 04103 Leipzig, Germany

Jaakko Tuomilehto

167 National Institute for Health and Welfare, Diabetes Prevention Unit, 00271 Helsinki, Finland

168 Hjelt Institute, Department of Public Health, University of Helsinki, 00014 Helsinki, Finland

169 South Ostrobothnia Central Hospital, 60220 Seinajoki, Finland

Gert-Jan van Ommen

170 Department of Human Genetics and Center of Medical Systems Biology, Leiden University Medical Center, 2333 ZC Leiden, the Netherlands

Jorma Viikari

171 Department of Medicine, University of Turku and Turku University Hospital, 20520 Turku, Finland

Andrew C. Heath

172 Department of Psychiatry and Midwest Alcoholism Research Center, Washington University School of Medicine, St Louis, Missouri 63108, USA

Nicholas G. Martin

173 Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

Grant W. Montgomery

174 Molecular Epidemiology Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

Michael A. Province

37 Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA

175 Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA

Manfred Kayser

176 Department of Forensic Molecular Biology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

Alice M. Arnold

78 Departments of Biostatistics, University of Washington, Seattle, Washington 98195, USA

177 Collaborative Health Studies Coordinating Center, Seattle, Washington 98115, USA

Larry D. Atwood

21 Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA

Eric Boerwinkle

178 Human Genetics Center and Institute of Molecular Medicine and Division of Epidemiology, University of Texas Health Science Center, Houston, Texas 77030, USA

Stephen J. Chanock

7 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA

Panos Deloukas

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

Christian Gieger

31 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

Henrik Grönberg

60 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden

Per Hall

60 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden

Andrew T. Hattersley

1 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK

Christian Hengstenberg

179 Klinik und Poliklinik für Innere Medizin II, Universität Regensburg, 93053 Regensburg, Germany

180 Regensburg University Medical Center, Innere Medizin II, 93053 Regensburg, Germany

Wolfgang Hoffman

130 Institut für Community Medicine, 17489 Greifswald, Germany

G.Mark Lathrop

181 Centre National de Genotypage, Evry, Paris 91057, France

Veikko Salomaa

107 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00014, Helsinki, Finland

Stefan Schreiber

182 Christian-Albrechts-University, University Hospital Schleswig-Holstein, Institute for Clinical Molecular Biology and Department of Internal Medicine I, Schittenhelmstrasse 12, 24105 Kiel

Manuela Uda

87 Istituto di Neurogenetica e Neurofarmacologia del CNR, Monserrato, 09042, Cagliari, Italy

Dawn Waterworth

183 Genetics Division, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA

Alan F. Wright

51 MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, Scotland, UK

Themistocles L. Assimes

54 Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA

Inês Barroso

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

184 University of Cambridge Metabolic Research Labs, Institute of Metabolic Science Addenbrooke's Hospital, CB2 OQQ, Cambridge, UK

Albert Hofman

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Karen L. Mohlke

185 Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA

Dorret I. Boomsma

52 Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands

Mark J. Caulfield

44 Clinical Pharmacology and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK

L.Adrienne Cupples

81 Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA

Jeanette Erdmann

160 Universität zu Lübeck, Medizinische Klinik II, 23562 Lübeck, Germany

Caroline S. Fox

186 Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham Heart Study, Framingham, Massachusetts 01702, USA

Vilmundur Gudnason

24 Icelandic Heart Association, Kopavogur, Iceland

25 University of Iceland, Reykjavik, Iceland

Ulf Gyllensten

35 Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, SE-75185 Uppsala, Sweden

Tamara B. Harris

153 Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA

Richard B. Hayes

187 New York University Medical Center, New York, New York 10016, USA

Marjo-Riitta Jarvelin

69 Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK

111 Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland

125 National Institute for Health and Welfare, 90101 Oulu, Finland

188 Biocenter Oulu, University of Oulu, 90014 Oulu, Finland

Vincent Mooser

183 Genetics Division, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA

Patricia B. Munroe

44 Clinical Pharmacology and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK

Willem H. Ouwehand

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

128 Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK

129 NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK

Brenda W. Penninx

132 Department of Psychiatry/EMGO Institute, VU University Medical Center, 1081 BT Amsterdam, The Netherlands

189 Department of Psychiatry, Leiden University Medical Centre, 2300 RC Leiden, The Netherlands

190 Department of Psychiatry, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands

Peter P. Pramstaller

95 Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy. Affiliated Institute of the University of Lübeck, Lübeck, Germany

191 Department of Neurology, General Central Hospital, Bolzano, Italy

192 Department of Neurology, University of Lübeck, Lübeck, Germany

Thomas Quertermous

54 Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA

Igor Rudan

51 MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, Scotland, UK

116 Croatian Centre for Global Health, School of Medicine, University of Split, Split 21000, Croatia

Nilesh J. Samani

84 Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, LE3 9QP, UK

88 Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK

Timothy D. Spector

18 Department of Twin Research and Genetic Epidemiology, King's College London, Lambeth Palace Rd, London, SE1 7EH, UK

Henry Völzke

130 Institut für Community Medicine, 17489 Greifswald, Germany

Hugh Watkins

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

121 Department of Cardiovascular Medicine, University of Oxford, Level 6 West Wing, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU

James F. Wilson

93 Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland

Leif C. Groop

91 Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden

Talin Haritunians

127 Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA

Frank B. Hu

22 Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA

23 Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA

45 Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA

Robert C. Kaplan

193 Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York 10461, USA

Andres Metspalu

38 Estonian Genome Center, University of Tartu, Tartu 50410, Estonia

39 Estonian Biocenter, Tartu 51010, Estonia

40 Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia

Kari E. North

55 Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514 USA

194 Carolina Center for Genome Sciences, School of Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina 27514, USA

David Schlessinger

195 Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA

Nicholas J. Wareham

32 MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK

David J. Hunter

22 Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA

23 Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA

45 Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA

Jeffrey R. O'Connell

72 Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

David P. Strachan

196 Division of Community Health Sciences, St George's, University of London, London, SW17 0RE, UK

H.-Erich Wichmann

31 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

80 Ludwig-Maximilians-Universität, Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, 81377 Munich, Germany

197 Klinikum Grosshadern, 81377 Munich, Germany

Ingrid B. Borecki

37 Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA

175 Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA

Cornelia M. van Duijn

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Eric E. Schadt

198 Pacific Biosciences, Menlo Park, California 94025, USA

199 Sage Bionetworks, Seattle, Washington 98109, USA

Unnur Thorsteinsdottir

20 deCODE Genetics, 101 Reykjavik, Iceland

200 Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland

Leena Peltonen

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

64 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland

82 The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA

201 Department of Medical Genetics, University of Helsinki, 00014 Helsinki, Finland

André Uitterlinden

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

3 Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

Peter M. Visscher

19 Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

Nilanjan Chatterjee

7 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA

Ruth J.F. Loos

32 MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK

Michael Boehnke

8 Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA

Mark I. McCarthy

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

47 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK

202 NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, OX3 7LJ, UK

Erik Ingelsson

60 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden

Cecilia M. Lindgren

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

47 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK

Gonçalo R. Abecasis

8 Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA

Kari Stefansson

20 deCODE Genetics, 101 Reykjavik, Iceland

200 Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland

Timothy M. Frayling

1 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK

Joel N Hirschhorn

9 Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, Massachusetts 02115, USA

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

203 Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA

1 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK

2 Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

3 Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands

4 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA)

5 Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada

6 Department of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada

7 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA

8 Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA

9 Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital, Boston, Massachusetts 02115, USA

10 Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA

11 Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA

12 Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115 USA

13 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

14 Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

15 Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

16 Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

17 Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK

18 Department of Twin Research and Genetic Epidemiology, King's College London, Lambeth Palace Rd, London, SE1 7EH, UK

19 Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

20 deCODE Genetics, 101 Reykjavik, Iceland

21 Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA

22 Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA

23 Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA

24 Icelandic Heart Association, Kopavogur, Iceland

25 University of Iceland, Reykjavik, Iceland

26 McGill University and Genome Québec Innovation Centre, Montréal, Québec H3A 1A4, Canada

27 Department of Human Genetics, McGill University Health Centre, McGill University, Montréal, Québec H3G 1A4, Canada

28 Department of Medical Genetics, McGill University Health Centre, McGill University, Montréal, Québec H3G 1A4, Canada

29 Departments of Epidemiology and Biostatistics, Harvard School of Public Health, Cambridge, Massachusetts 02138, USA

30 Regensburg University Medical Center, Department of Epidemiology and Preventive Medicine, 93053 Regensburg, Germany

31 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

32 MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK

33 University of Melbourne, Parkville 3010, Australia

34 Department of Primary Industries, Melbourne, Victoria 3001, Australia

35 Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, SE-75185 Uppsala, Sweden

36 Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, N-7489, Norway

37 Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA

38 Estonian Genome Center, University of Tartu, Tartu 50410, Estonia

39 Estonian Biocenter, Tartu 51010, Estonia

40 Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia

41 Department of Medical Genetics, University of Lausanne, 1005 Lausanne, Switzerland

42 Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland

43 Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK

44 Clinical Pharmacology and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK

45 Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA

46 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA

47 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, UK

48 Hudson Alpha Institute for Biotechnology, Huntsville, Alabama 35806, USA

49 Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, 17487 Greifswald, Germany

50 Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, Washington 98101, USA

51 MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, Scotland, UK

52 Department of Biological Psychology, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands

53 Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland 21702, USA

54 Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA

55 Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514 USA

56 Andrija Stampar School of Public Health, Medical School, University of Zagreb, 10000 Zagreb, Croatia

57 Gen-Info Ltd, 10000 Zagreb, Croatia

58 Universität zu Lübeck, Institut für Medizinische Biometrie und Statistik, 23562 Lübeck, Germany

59 Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK

60 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden

61 Center for Human Genomics, Wake Forest University, Winston-Salem, North Carolina 27157, USA

62 Neurogenetics Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

63 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014, Helsinki, Finland

64 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Unit of Public Health Genomics, 00014, Helsinki, Finland

65 Department of Genome Sciences, University of Washington, Seattle, 98195 Washington, USA

66 Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA

67 Harvard Medical School, Boston, Massachusetts 02115, USA

68 Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA

69 Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK

70 Centre for Genetic Epidemiology and Biostatistics, University of Western Australia, Crawley, Western Australia 6009, Australia

71 Royal National Hospital for Rheumatic Diseases and University of Bath, Bath, BA1 1RL, UK

72 Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

73 Genetics Department, Rosetta Inpharmatics, a Wholly Owned Subsidiary of Merck & Co. Inc., Seattle, Washington 98109, USA

74 Department of Internal Medicine, University of Oulu, 90014 Oulu, Finland

75 MGH Weight Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

76 Stanford University School of Medicine, Stanford, California 93405, USA

77 Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden

78 Departments of Biostatistics, University of Washington, Seattle, Washington 98195, USA

79 Ludwig-Maximilians-University, Department of Medicine I, University Hospital Grosshadern, 81377 Munich, Germany

80 Ludwig-Maximilians-Universität, Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, 81377 Munich, Germany

81 Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA

82 The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA

83 Department of Psychiatry, Harvard Medical School, Boston, Massachusetts 02115, USA

84 Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, LE3 9QP, UK

85 University of Milan, Department of Medicine, Surgery and Dentistry, 20139 Milano, Italy

86 KOS Genetic Srl, 20123 Milan, Italy

87 Istituto di Neurogenetica e Neurofarmacologia del CNR, Monserrato, 09042, Cagliari, Italy

88 Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK

89 Department of Health Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK

90 Universität zu Lübeck, Institut für Medizinische Biometrie und Statistik, 23562 Lübeck, Germany

91 Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden

92 Multidisciplinary Cardiovascular Research Centre (MCRC), Leeds Institute of Genetics, Health and Therapeutics (LIGHT), University of Leeds, Leeds LS2 9JT, UK

93 Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland

94 University Vita-Salute San Raffaele, Division of Nephrology and Dialysis, 20132 Milan, Italy

95 Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Bolzano/Bozen, 39100, Italy. Affiliated Institute of the University of Lübeck, Lübeck, Germany

96 British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TA, UK

97 Northshore University Healthsystem, Evanston, Ilinois 60201, USA

98 Cardiovascular Epidemiology and Genetics, Institut Municipal D'investigacio Medica and CIBER Epidemiología y Salud Pública, Barcelona, Spain

99 Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland

100 National Institute for Health and Welfare, 00271 Helsinki, Finland

101 Helsinki University Central Hospital, Unit of General Practice, 00280 Helsinki, Finland

102 Folkhalsan Research Centre, 00250 Helsinki, Finland

103 Vasa Central Hospital, 65130 Vasa, Finland

104 Center for Neurobehavioral Genetics, University of California, Los Angeles, California 90095, USA

105 Hypertension and Cardiovascular Prevention Center, University of Sassari, 07100 Sassari, Italy

106 Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, 90014 Oulu, Finland

107 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Chronic Disease Epidemiology and Prevention Unit, 00014, Helsinki, Finland

108 PathWest Laboratory of Western Australia, Department of Molecular Genetics, J Block, QEII Medical Centre, Nedlands, Western Australia 6009, Australia

109 Busselton Population Medical Research Foundation Inc., Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia

110 National Institute for Health and Welfare, Department of Chronic Disease Prevention, Population Studies Unit, 20720 Turku, Finland

111 Institute of Health Sciences, University of Oulu, 90014 Oulu, Finland

112 Interdisciplinary Centre for Clinical Research, University of Leipzig, 04103 Leipzig, Germany

113 Finnish Institute of Occupational Health, 90220 Oulu, Finland

114 Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore

115 Transplantation Laboratory, Haartman Institute, University of Helsinki, 00014, Helsinki, Finland

116 Croatian Centre for Global Health, School of Medicine, University of Split, Split 21000, Croatia

117 Institute of Human Genetics, Klinikum rechts der Isar der Technischen Universität München, 81675 Munich, Germany

118 Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany

119 Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario L8N3Z5, Canada

120 Amgen, Cambridge, Massachusetts 02139, USA

121 Department of Cardiovascular Medicine, University of Oxford, Level 6 West Wing, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU

122 Institut für Klinische Chemie und Laboratoriumsmedizin, Universität Greifswald, 17475 Greifswald, Germany

123 Finnish Twin Cohort Study, Department of Public Health, University of Helsinki, 00014, Helsinki, Finland

124 Obesity Research unit, Department of Psychiatry, Helsinki University Central Hospital, Helsinki, Finland

125 National Institute for Health and Welfare, 90101 Oulu, Finland

126 Department of Clinical Sciences, Lund University, 20502 Malmö, Sweden

127 Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA

128 Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK

129 NHS Blood and Transplant, Cambridge Centre, Cambridge, CB2 0PT, UK

130 Institut für Community Medicine, 17489 Greifswald, Germany

131 Division of Cardiology, Cardiovascular Laboratory, Helsinki University Central Hospital, 00029 Helsinki, Finland

132 Department of Psychiatry/EMGO Institute, VU University Medical Center, 1081 BT Amsterdam, The Netherlands

133 Department of Psychiatrics, Lapland Central Hospital, 96101 Rovaniemi, Finland

134 Cardiovascular Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK

135 Avon Longitudinal Study of Parents and Children (ALSPAC) Laboratory, Department of Social Medicine, University of Bristol, Bristol, BS8 2BN, UK

136 Comprehensive Cancer Center East, 6501 BG Nijmegen, The Netherlands

137 Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois (CHUV) University Hospital, 1011 Lausanne, Switzerland

138 School of Pathology and Laboratory Medicine, University of Western Australia, Nedlands, Western Australia 6009, Australia

139 Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA

140 National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA

141 Department of Endocrinology, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands

142 Atherosclerosis Research Unit, Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden

143 Division of Research, Kaiser Permanente Northern California, Oakland, California 94612, USA

144 Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California 94107, USA

145 Department of Clinical Physiology, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland

146 National Institute for Health and Welfare, Department of Mental Health and Substance Abuse Services, Unit for Child and Adolescent Mental Health, 00271 Helsinki, Finland

147 Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA

148 Framingham Heart Study of the National, Heart, Lung, and Blood Institute and Boston University, Framingham, Massachusetts 01702, USA

149 Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA

150 Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands

151 Department of Urology, Radboud University Nijmegen Medical Centre, 6500 HB Nijmegen, The Netherlands

152 Zentrum für Zahn-, Mund- und Kieferheilkunde, 17489 Greifswald, Germany

153 Laboratory of Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA

154 Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, 33520 Tampere, Finland

155 Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, Mississippi 39216, USA

156 School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia 6009, Australia

157 National, Lung, and Blood Institute, National Institutes of Health, Framingham, Massachusetts 01702, USA

158 Department of Clinical Genetics, Erasmus MC, Rotterdam, 3015GE, The Netherlands

159 Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and the Department of Clinical Physiology, Turku University Hospital, 20520 Turku, Finland

160 Universität zu Lübeck, Medizinische Klinik II, 23562 Lübeck, Germany

161 Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, Maryland 21201, USA

162 Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA

163 Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington 98195, USA

164 Department of Medicine, University of Leipzig, 04103 Leipzig, Germany

165 LIFE Study Centre, University of Leipzig, Leipzig, Germany

166 Coordination Centre for Clinical Trials, University of Leipzig, Härtelstr. 16-18, 04103 Leipzig, Germany

167 National Institute for Health and Welfare, Diabetes Prevention Unit, 00271 Helsinki, Finland

168 Hjelt Institute, Department of Public Health, University of Helsinki, 00014 Helsinki, Finland

169 South Ostrobothnia Central Hospital, 60220 Seinajoki, Finland

170 Department of Human Genetics and Center of Medical Systems Biology, Leiden University Medical Center, 2333 ZC Leiden, the Netherlands

171 Department of Medicine, University of Turku and Turku University Hospital, 20520 Turku, Finland

172 Department of Psychiatry and Midwest Alcoholism Research Center, Washington University School of Medicine, St Louis, Missouri 63108, USA

173 Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

174 Molecular Epidemiology Laboratory, Queensland Institute of Medical Research, Queensland 4006, Australia

175 Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA

176 Department of Forensic Molecular Biology, Erasmus MC, Rotterdam, 3015GE, The Netherlands

177 Collaborative Health Studies Coordinating Center, Seattle, Washington 98115, USA

178 Human Genetics Center and Institute of Molecular Medicine and Division of Epidemiology, University of Texas Health Science Center, Houston, Texas 77030, USA

179 Klinik und Poliklinik für Innere Medizin II, Universität Regensburg, 93053 Regensburg, Germany

180 Regensburg University Medical Center, Innere Medizin II, 93053 Regensburg, Germany

181 Centre National de Genotypage, Evry, Paris 91057, France

182 Christian-Albrechts-University, University Hospital Schleswig-Holstein, Institute for Clinical Molecular Biology and Department of Internal Medicine I, Schittenhelmstrasse 12, 24105 Kiel

183 Genetics Division, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA

184 University of Cambridge Metabolic Research Labs, Institute of Metabolic Science Addenbrooke's Hospital, CB2 OQQ, Cambridge, UK

185 Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA

186 Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham Heart Study, Framingham, Massachusetts 01702, USA

187 New York University Medical Center, New York, New York 10016, USA

188 Biocenter Oulu, University of Oulu, 90014 Oulu, Finland

189 Department of Psychiatry, Leiden University Medical Centre, 2300 RC Leiden, The Netherlands

190 Department of Psychiatry, University Medical Centre Groningen, 9713 GZ Groningen, The Netherlands

191 Department of Neurology, General Central Hospital, Bolzano, Italy

192 Department of Neurology, University of Lübeck, Lübeck, Germany

193 Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York 10461, USA

194 Carolina Center for Genome Sciences, School of Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina 27514, USA

195 Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA

196 Division of Community Health Sciences, St George's, University of London, London, SW17 0RE, UK

197 Klinikum Grosshadern, 81377 Munich, Germany

198 Pacific Biosciences, Menlo Park, California 94025, USA

199 Sage Bionetworks, Seattle, Washington 98109, USA

200 Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland

201 Department of Medical Genetics, University of Helsinki, 00014 Helsinki, Finland

202 NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, OX3 7LJ, UK

203 Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA

Corresponding Authors: Michael Weedon, Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK, ku.ca.smp@nodeew.leahcim, Gonçalo Abecasis, Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA, ude.hcimu@olacnog, Kari Stefansson, deCODE Genetics, 101 Reykjavik, Iceland, si.edoced@snafetsk, Timothy Frayling, Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, EX1 2LU, UK, ku.ca.smp@gnilyarf.mit, Joel Hirschhorn, Children's Hospital, Harvard Medical School, Broad Institute, Boston, Massachusetts 02115, USA, gro.etutitsnidaorb@hleoj

*These authors contributed equally

Abstract

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence phenotype. Genome-wide association (GWA) studies have identified >600 variants associated with human traits1, but these typically explain small fractions of phenotypic variation, raising questions about the utility of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait2,3. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (_P_=0.016), and that underlie skeletal growth defects (P<0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants, and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented amongst variants that alter amino acid structure of proteins and expression levels of nearby genes. Our data explain ∼10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to ∼16% of phenotypic variation (∼20% of heritable variation). Although additional approaches are needed to fully dissect the genetic architecture of polygenic human traits, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

In Stage 1 of our study, we performed a meta-analysis of GWA data from 46 studies, comprising 133,653 individuals of recent European ancestry, to identify common genetic variation associated with adult height. To enable meta-analysis of studies across different genotyping platforms, we performed imputation of 2,834,208 single nucleotide polymorphisms (SNPs) present in the HapMap Phase 2 European-American reference panel4. After applying quality control filters, each individual study tested the association of adult height with each SNP using an additive model (Supplementary Methods). The individual study statistics were corrected using the genomic control (GC) method5,6 and then combined in a fixed effects based meta-analysis. We then applied a second GC correction on the meta-analysis statistics, although this approach may be overly conservative when there are many real signals of association (Supplementary Methods). We detected 207 loci (defined as 1Mb on either side of the most strongly associated SNP) as potentially associated with adult height (P<5×10-6).

To identify loci robustly associated with adult height, we took forward at least one SNP (Supplementary Methods) from each of the 207 loci reaching P<5×10-6 into an additional 50,074 samples (Stage 2) that became available after completion of our initial meta-analysis. In the joint analysis of our Stage 1 and Stage 2 studies, SNPs representing 180 loci reached genome-wide significance (P<5×10-8; Supplementary Figures 1 and 2, Supplementary Table 1). Additional tests, including genotyping of a randomly-selected subset of 33 SNPs in an independent sample of individuals from the 5th-10th and 90th-95th percentiles of the height distribution (N=3,190)7, provided further validation of our results, with all but two SNPs showing consistent direction of effect (sign test P<7×10-8) (Supplementary Methods, Supplementary Table 2).

Genome wide association studies can be susceptible to false positive associations from population stratification7. We therefore performed a family-based analysis, which is immune to population stratification in 7,336 individuals from two cohorts with pedigree information. Alleles representing 150 of the 180 genome-wide significant loci were associated in the expected direction (sign test P<6×10-20; Supplementary Table 3). The estimated effects on height were essentially identical in the overall meta-analysis and the family-based sample. Together with several other lines of evidence (Supplementary Methods), this indicates that stratification is not substantially inflating the test statistics in our meta-analysis.

Common genetic variants have typically explained only a small proportion of the heritable component of phenotypic variation8. This is particularly true for height, where >80% of the variation within a given population is estimated to be attributable to additive genetic factors9, but over 40 previously published variants explain <5% of the variance10-17. One possible explanation is that many common variants of small effects contribute to phenotypic variation, and current GWA studies remain underpowered to detect the majority of common variants. Using five studies not included in Stage 1, we found that the 180 associated SNPs explained on average 10.5% (range 7.9-11.2%) of the variance in adult height (Supplementary Methods). Including SNPs associated with height at lower significance levels (0.05>_P_>5×10-8) increased the variance explained to 13.3% (range 9.7-16.8%) (Figure 1a)18. In addition, we found no evidence that non-additive effects including gene-gene interaction would increase the proportion of the phenotypic variance explained (Supplementary Methods, Supplementary Tables 5 and 6).

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Phenotypic variance explained by common variants

(a) Variance explained is higher when SNPs not reaching genome-wide significance are included in the prediction model. The y-axis represents the proportion of variance explained at different _P_-value thresholds from Stage 1. Results are given for five studies that were not part of Stage 1. *Proportion of variation explained by the 180 SNPs. (b) Cumulative number of susceptibility loci expected to be discovered, including already identified loci and as yet undetected loci. The projections are based on loci that achieved a significance level of P<5×10-8 in the initial scan and the distribution of their effect sizes in Stage 2. The dotted red line corresponds to expected phenotypic variance explained by the 110 loci that reached genome-wide significance in Stage 1, were replicated in Stage 2 and had at least 1% power.

As a separate approach, we used a recently developed method19 to estimate the total number of independent height-associated variants with effect sizes similar to the ones identified. We obtained this estimate using the distribution of effect sizes observed in Stage 2 and the power to detect an association in Stage 1, given these effect sizes (Supplementary Methods). The cumulative distribution of height loci, including those we identified and others as yet undetected, is shown in Figure 1b. We estimate that there are 697 loci (95% confidence interval (CI): 483-1040) with effects equal or greater than those identified, which together would explain approximately 15.7% of the phenotypic variation in height or 19.6% (95% CI: 16.2-25.6) of height heritability (Supplementary Table 4). We estimated that a sample size of 500,000 would detect 99.6% of these loci at P<5×10-8. This figure does not account for variants that have effect sizes smaller than those observed in the current study and, therefore, underestimates the contribution of undiscovered common loci to phenotypic variation.

A further possible source of missing heritability is allelic heterogeneity – the presence of multiple, independent variants influencing a trait at the same locus. We performed genome-wide conditional analyses in a subset of Stage 1 studies, including a total of 106,336 individuals. Each study repeated the primary GWA analysis but additionally adjusted for SNPs representing the 180 loci associated at P<5×10-6 (Supplementary Methods). We then meta-analysed these studies in the same way as for the primary GWA study meta-analysis. Nineteen SNPs within the 180 loci were associated with height at P<3.3×10-7 (a Bonferroni-corrected significance threshold calculated from the ∼15% of the genome covered by the conditioned 2Mb loci; Supplementary Methods, Table 1, Figure 2, Supplementary Figure 3). The distances of the second signals to the lead SNPs suggested that both are likely to be affecting the same gene, rather than being coincidentally in close proximity. At 17 of 17 loci (excluding two contiguous loci in the HMGA1 region), the second signal occurred within 500kb, rather than between 500kb and 1 Mb, of this lead SNP (binomial test _P_=2×10-5). Further analyses of allelic heterogeneity may identify additional variants that increase the proportion of variance explained. For example, within the 180 2Mb loci, a total of 45 independent SNPs reached P<1×10-5 when we would expect <2 by chance.

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Example of a locus with a secondary signal before (a) and after (b) conditioning

The plot is centered on the conditioned SNP (purple diamond) at the locus. r2 is based on the CEU HapMap II samples. The blue line and right hand Y axis represent CEU HapMap II recombination rates. Created using LocusZoom (http://csg.sph.umich.edu/locuszoom/).

Table 1

Secondary signals at associated loci after conditional analysis

Second signal SNP Conditioned SNP Chr Second signal SNP position Distance of conditioned SNP from index SNP (bp) HapMapa r2 Second signal _P_-value after conditioning Second signal _P_-value pre-conditioning Geneb
rs2280470 rs16942341 15 87196630 6721 0.009 1×10-14 1×10-15 ACAN
rs10859563 rs11107116 12 92644470 141835 0.003 3×10-12 8×10-10 SOCS2
rs750460 rs5742915 15 72028559 95127 0.004 4×10-12 7×10-08 PML
rs6938239 rs2780226* 6 34791613 484583 0.019 6×10-12 9×10-14 HMGA1
rs7652177 rs572169 3 173451771 196650 0.006 7×10-11 1×10-11 GHSR
rs7916441 rs2145998 10 80595583 196119 0.112 6×10-10 3×10-07 PPIF
rs3792752 rs1173727 5 32804391 61887 0.02 7×10-10 4×10-08 NPR3
rs10958476 rs7460090 8 57258362 98355 0.02 1×10-09 5×10-13 SDR16C5
rs2353398 rs7689420 4 145742208 45594 0.022 2×10-09 1×10-10 HHIP
rs2724475 rs6449353 4 17555530 87056 0.098 2×10-09 8×10-16 LCORL
rs2070776 rs2665838 17 59361230 41033 0.15 9×10-09 1×10-14 GH region
rs1401796 rs227724 17 52194758 60942 0.005 2×10-08 7×10-07 NOG
rs4711336 rs2780226* 6 33767024 540046 0.111 3×10-08 5×10-08 HMGA1
rs6892884 rs12153391 5 170948228 187815 0 4×10-08 2×10-05 FBXW11
rs1367226 rs3791675 2 55943044 21769 0.204 4×10-08 0.1245 EFEMP1
rs2421992 rs17346452 1 170507874 187964 0.019 5×10-08 1×10-05 DNM3
rs225694 rs7763064 6 142568835 270147 0.001 1×10-07 2×10-06 GPR126
rs10187066 rs12470505 2 219223003 393610 0.022 2×10-07 5×10-08 IHH
rs879882 rs2256183 6 31247431 241077 0.016 2×10-07 8×10-08 MICA

Whilst GWA studies have identified many variants robustly associated with common human diseases and traits, the biological significance of these variants, and the genes on which they act, is often unclear. We first tested the overlap between the 180 height-associated variants and two types of putatively functional variants, nonsynonymous (ns) SNPs and cis-eQTLs (variants strongly associated with expression of nearby genes). Height variants were 2.4-fold more likely to overlap with cis-eQTLs in lymphocytes than expected by chance (47 variants: _P_=4.7×10-11) (Supplementary Table 7) and 1.7-fold more likely to be closely correlated (_r_2≥0.8 in HapMap CEU) with nsSNPs (24 variants _P_=0.004) (Supplementary Methods, Supplementary Table 8). Although the presence of a correlated eQTL or nsSNP at an individual locus does not establish the causality of any particular variant, this enrichment shows that common functional variants contribute to the causal variants at height-associated loci. We also noted five loci where the height associated variant was strongly correlated (_r2_>0.8) with variants associated with other traits and diseases (P<5×10-8), including bone mineral density, rheumatoid arthritis, type 1 diabetes, psoriasis and obesity, suggesting that these variants have pleiotropic effects on human phenotypes (Supplementary Methods; Supplementary Table 9).

We next addressed the extent to which height variants cluster near biologically relevant genes; specifically, genes mutated in human syndromes characterized by abnormal skeletal growth. We limited this analysis to the 652 genes occurring within the recombination hotspot-bounded regions surrounding each of the 180 index SNPs. We showed that the 180 loci associated with variation in normal height contained 21 of 241 genes (8.7%) found to underlie such syndromes (Supplementary Table 10), compared to a median of 8 (range 1-19) genes identified in 1,000 matched control sets of regions (P<0.001: 0 observations of 21 or more skeletal growth genes among 1,000 sets of matched SNPs). In 13 of these 21 loci the closest gene to the most associated height SNP in the region is the growth disorder gene, and in 9 of these cases, the most strongly associated height SNP is located within the growth disorder gene itself (Supplementary Methods, Supplementary Table 11). These results suggest that GWA studies may provide more clues about the identity of the functional genes at each locus than previously suspected.

We also investigated whether significant and relevant biological connections exist between the genes within the 180 loci, using two different computational approaches. We used the GRAIL text-mining algorithm to search for connectivity between genes near the associated SNPs, based on existing literature20. Of the 180 loci, 42 contained genes that were connected by existing literature to genes in the other associated loci (the pair of connected genes appear in articles that share scientific terms more often than expected at P<0.01). For comparison, when we used GRAIL to score 1,000 sets of 180 SNPs not associated with height (but matched for number of nearby genes, gene proximity, and allele frequency), we only observed 16 sets with 42 or more loci with a connectivity P<0.01, thus providing strong statistical evidence that the height loci are functionally related (_P_=0.016) (Figure 3a). For the 42 regions with GRAIL connectivity P<0.01, the implicated genes and SNPs are highlighted in Figure 3b. The most strongly connected genes include those in the Hedgehog, TGF-beta, and growth hormone pathways.

An external file that holds a picture, illustration, etc. Object name is nihms225625f3.jpg

Loci associated with height contain genes related to each other

(a) 180 height-associated SNPs. The y-axis plots GRAIL _P_-values on a log scale. The histogram corresponds to the distribution of GRAIL _P_-values for 1,000 sets of 180 matched SNPs. The scatter plot represents GRAIL results for the 180 height SNPs (blue dots). The black horizontal line marks the median of the GRAIL _P_-values (_P_=0.14). The top 10 keywords linking the genes were: ‘growth’, ‘kinase’, ‘factor’, ‘transcription’, ‘signaling’, ‘binding’, ‘differentiation’, ‘development’, ‘insulin’, ‘bone’. (b) Graphical representation of the connections between SNPs and corresponding genes for the 42 SNPs with GRAIL P<0.01. Thicker and redder lines imply stronger literature-based connectivity.

As a second approach to find biological connections, we applied a novel implementation of gene set enrichment analysis (GSEA) (Meta-Analysis Gene-set Enrichment of variaNT Associations, MAGENTA21) to perform pathway analysis (Supplementary Methods). This analysis revealed 17 different biological pathways and 14 molecular functions nominally enriched (P<0.05) for associated genes, many of which lie within the validated height loci. These gene-sets include previously reported11,13 (e.g. Hedgehog signaling) and novel (e.g. TGF-beta signaling, histones, and growth and development-related) pathways and molecular functions (Supplementary Table 12). Several SNPs near genes in these pathways narrowly missed genome-wide significance, suggesting that these pathways likely contain additional associated variants. These results provide complementary evidence for some of the genes and pathways highlighted in the GRAIL analysis. For instance, genes such as TGFB2 and LTBP1-3 highlight a role for the TGF-beta signaling pathway in regulating human height, consistent with the implication of this pathway in Marfan syndrome22.

Finally, to examine the evidence for the potential involvement of specific genes at individual loci, we aggregated evidence from our data (eQTLs, proximity to the associated variant, pathway-based analyses), and human and mouse genetic databases (Supplementary Table 13). Of 32 genes with highly correlated (_r2_>0.8) nsSNPs, several are newly identified strong candidates for playing a role in human growth. Some are in pathways enriched in our study (such as ECM2, implicated in extracellular matrix), while others have similar functions to known growth-related genes, including FGFR4 (FGFR3 underlies several classic skeletal dysplasias23) and STAT2 (STAT5B mutations cause growth defects in humans24). Interestingly, Fgfr4-/- Fgfr3-/- mice show severe growth retardation not seen in either single mutant25, suggesting that the FGFR4 variant might modify _FGFR3_-mediated skeletal dysplasias. Other genes at associated loci, such as NPPC and NPR3 (encoding the C-type natriuretic peptide and its receptor), influence skeletal growth in mice and will likely also influence human growth17. Many of the remaining 180 loci have no genes with obvious connections to growth biology, but at some our data provide modest supporting evidence for particular genes, including C3orf63, PML, CCDC91, ZNFX1, ID4, RYBP, SEPT2, ANKRD13B, FOLH1, LRRC37B, MFAP2, SLBP, SOCS5, and ZBTB24 (Supplementary Table 13).

We have identified >100 novel loci that influence the classic polygenic trait of normal variation in human height, bringing the total to 180. Our results have potential general implications for genetic studies of complex traits. We show that loci identified by GWA studies highlight relevant genes: the 180 loci associated with height are non-randomly clustered within biologically relevant pathways and are enriched for genes that are involved in growth-related processes, that underlie syndromes of abnormal skeletal growth, and that are directly relevant to growth-modulating therapies (GH1, IGF1R, CYP19A1, ESR1). The large number of loci with clearly relevant genes suggests that the remaining loci could provide potential clues to important and novel biology.

We provide the strongest evidence yet that the causal gene will often be located near the most strongly associated DNA sequence variant. At the 21 loci containing a known growth disorder gene, that gene was on average 81 kb from the associated variant, and in over half of the loci it was the closest gene to the associated variant. Despite recent doubts about the benefits of GWA studies26, this finding suggests that GWA studies are useful mapping tools to highlight genes that merit further study. The presence of multiple variants within associated loci could help localize the relevant genes within these loci.

By increasing our sample size to >100,000 individuals, we identified common variants that account for approximately 10% of phenotypic variation. Although larger than predicted by some models26, this figure suggests that GWA studies, as currently implemented, will not explain a majority of the estimated 80% contribution of genetic factors to variation in height. This conclusion supports the idea that biological insights, rather than predictive power, will be the main outcome of this initial wave of GWA studies, and that new approaches, which could include sequencing studies or GWA studies targeting variants of lower frequency, will be needed to account for more of the “missing” heritability. Our finding that many loci exhibit allelic heterogeneity suggests that many as yet unidentified causal variants, including common variants, will map to the loci already identified in GWA studies, and that the fraction of causal loci that have been identified could be substantially greater than the fraction of causal variants that have been identified.

In our study, many associated variants are tightly correlated with common nsSNPs, which would not be expected if these associated common variants were proxies for collections of rare causal variants, as has been proposed27. Although a substantial contribution to heritability by less common and/or quite rare variants may be more plausible, our data are not inconsistent with the recent suggestion28 that a large number of common variants of very small effect mostly explain the regulation of height.

In summary, our findings indicate that additional approaches, including those aimed at less common variants, will likely be needed to dissect more completely the genetic component to complex human traits. Our results also strongly demonstrate that GWA studies can identify large numbers of loci that together implicate biologically relevant pathways and mechanisms. We envision that thorough exploration of the genes at associated loci through additional genetic, functional, and computational studies will lead to novel insights into human height and other polygenic traits and diseases.

Methods summary

The primary meta-analysis (Stage 1) included 46 GWA studies of 133,653 individuals. The in-silico follow up (Stage 2) included 15 studies of 50,074 individuals. All individuals were of European ancestry and >99.8% were adults. Details of genotyping, quality control, and imputation methods of each study are given in Supplementary Methods Table 1-2. Each study provided summary results of a linear regression of age-adjusted, within-sex Z scores of height against the imputed SNPs, and an inverse-variance meta-analysis was performed in METAL (http://www.sph.umich.edu/csg/abecasis/METAL/). Validation of selected SNPs was performed through direct genotyping in an extreme height panel (N=3,190) using Sequenom iPLeX, and in 492 Stage 1 samples using the KASPar SNP System. Family-based testing was performed using QFAM, a linear regression-based approach that uses permutation to account for dependency between related individuals29, and FBAT, which uses a linear combination of offspring genotypes and traits to determine the test statistic30. We used a previously described method to estimate the amount of genetic variance explained by the nominally associated loci (using significance threshold increments from P<5×10-8 to P<0.05)18. To predict the number of height susceptibility loci, we took the height loci that reached a significance level of P<5×10-8 in Stage 1 and estimated the number of height loci that are likely to exist based on the distribution of their effect sizes observed in Stage 2 and the power to detect their association in Stage 1. Gene-by-gene interaction, dominant, recessive and conditional analyses are described in Supplementary Methods. Empirical assessment of enrichment for coding SNPs used permutations of random sets of SNPs matched to the 180 height-associated SNPs on the number of nearby genes, gene proximity, and minor allele frequency. GRAIL and GSEA methods have been described previously20,21. To assess possible enrichment for genes known to be mutated in severe growth defects, we identified such genes in the OMIM database (Supplementary Table 10), and evaluated the extent of their overlap with the 180 height-associated regions through comparisons with 1000 random sets of regions with similar gene content (±10%).

Supplementary Material

1

Acknowledgments

A number of participating studies are members of CHARGE and ENGAGE consortia. We acknowledge funding from the Academy of Finland (104781, 117797, 120315, 121584, 126925, 129269, 129494, 129680, 213506); Affymetrix, Inc for genotyping services (N02-HL-6-4278); Agency for Science, Technology and Research of Singapore (A*STAR); ALF/LUA Gothenburg; Althingi (the Icelandic Parliament); Amgen; AstraZeneca AB; Australian National Health and Medical Research Council (241944, 389875, 389891, 389892, 389938, 442915, 442981, 496739, 496688, 552485, 613672); Australian Research Council (DP0770096); Biocentrum Helsinki; Boston Obesity Nutrition Research Center (DK46200); British Diabetes Association; British Heart Foundation (PG/02/128); British Heart Foundation Centre for Research Excellence, Oxford; CamStrad; Cancer Research UK; Centre for Neurogenomics and Cognitive Research (CNCR-VU); Chief Scientist Office of the Scottish Government (CSO) (CZB/4/279); Council of Health of the Academy of Finland; DIAB Core project of the German Network of Diabetes; Diabetes UK; Donald W. Reynolds Foundation; Emil and Vera Cornell Foundation; Erasmus MC; Estonian Government (SF0180142s08); European Commission (201413, ECOGENE:205419, BBMRI:212111, OPENGENE:245536, ENGAGE:HEALTH-F4-2007-201413, EURODIA:LSHG-CT-2004-518153, EU/WLRT-2001-01254, HEALTH-F2-2008-ENGAGE, HEALTH-F4-2007-201550, LSH-2006-037593, LSHG-CT-2006-018947, LSHG-CT-2006-01947, Procardis:LSHM-CT-2007-037273, POLYGENE:LSHC-CT-2005, QLG1-CT-2000-01643, QLG2-CT-2002-01254, DG XII, Marie Curie Intra-European Fellowship); Eve Appeal; Finish Ministry of Education; Finnish Diabetes Research Foundation; Finnish Diabetes Research Society; Finnish Foundation for Cardiovascular Research; Finnish Medical Society; Finska Läkaresällskapet; Folkhälsan Research Foundation; Fondation LeDucq; Foundation for Life and Health in Finland; Foundation for Strategic Research (SSF); GEN-AU-Programme “GOLD”; Genetic Association InformationNetwork (GAIN); German Bundesministerium fuer Forschung und Technology (01 AK 803 A-H, 01 IG 07015 G); German Federal Ministry of Education and Research (BMBF) (01GS0831); German Ministry for Health, Welfare and Sports; German Ministry of Cultural Affairs; German Ministry of Education, Culture and Science; German National Genome Research Net (NGFN2 and NGFNplus) (01GS0823, 01ZZ0103, 01ZZ0403, 01ZZ9603, 03ZIK012); German Research Council (KFO-152); GlaxoSmithKline; Göteborg Medical Society; Gyllenberg Foundation; Helmholtz Center Munich; Juvenile Diabetes Research Foundation International (JDRF) (U01 DK062418); Karolinska Institute; Knut and Alice Wallenberg Foundation; Lundberg Foundation; March of Dimes (6-FY-09-507); MC Health; Medical Research Council UK (G0000649, G0000934, G0500539, G0600331, G0601261, G9521010D, PrevMetSyn); Microarray Core Facility of the Interdisciplinary Centre for Clinical Research (IZKF) (B27); Mid-Atlantic Nutrition and Obesity Research Center of Maryland (P30 DK072488); Ministry of Health and Department of Educational Assistance (South Tyrol, Italy); Ministry of Science, Education and Sport of the Republic of Croatia (216-1080315-0302); Montreal Heart Institute Foundation; Närpes Health Care Foundation; National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre; NIHR Oxford Biomedical Research Centre; NIHR comprehensive Biomedical Research Centre; National Institutes of Health (263-MA-410953, AA014041, AA07535, AA10248, AA13320, AA13321, AA13326, CA047988, CA49449, CA50385, CA65725, CA67262, CA87969, DA12854, DK062370, DK063491, DK072193, DK079466, DK080145, DK58845, HG002651, HG005214, HG005581, HL043851, HL084729, HL69757, HL71981, K08-AR055688, K23-DK080145, K99-HL094535, M01-RR00425, MH084698, N01-AG12100, N01-AG12109, N01-HC15103, N01-HC25195, N01-HC35129, N01-HC45133, N01-HC55015, N01-HC55016, N01-HC55018 through N01-HC55022, N01-HC55222, N01-HC75150, N01-HC85079 through N01-HC85086, N01-HG65403, R01-AG031890, R01 CA104021, R01-DK068336, R01-DK073490, R01-DK075681, R01-DK075787, R01-HL086694, R01-HL087641, R01-HL087647, R01-HL087652, R01-HL087676, R01-HL087679, R01-HL087700, R01-HL088119, R01-HL59367, R01-MH059160, R01-MH59565, R01-MH59566, R01-MH59571, R01-MH59586, R01-MH59587, R01-MH59588, R01-MH60870, R01-MH60879, R01-MH61675, R01-MH63706, R01-MH67257, R01-MH79469, R01-MH81800, RL1-MH083268, T32-HG00040, U01-CA098233, U01-GM074518, U01-HG004399, U01-HG004402, U01-HL080295, U01-HL084756, U01-HL72515, U01-MH79469, U01-MH79470, U54-RR020278, UL1-RR025005, Z01-AG00675, Z01-AG007380, Z01-HG000024; contract HHSN268200625226C; ADA Mentor-Based Postdoctoral Fellowship; Pew Scholarship for the Biomedical Sciences); Netherlands Genomics Initiative (NGI)/Netherlands Consortium for Healthy Aging (NCHA) (050-060-810); Netherlands Organisation for Scientific Research (NWO) (Investments nr. 175.010.2005.011, 911-03-012); Netherlands Organization for the Health Research and Development (ZonMw) (10-000-1002); Netherlands Scientific Organization (904-61-090, 904-61-193, 480-04-004, 400-05-717, Center for Medical Systems Biology (NOW Genomics), SPI 56-464-1419); NIA Intramural Research Program; Nordic Center of Excellence in Disease Genetics; Novo Nordisk Foundation; Ollqvist Foundation; Oxford NIHR Biomedical Research Centre; Paavo Nurmi Foundation; Perklén Foundation; Petrus and Augusta Hedlunds Foundation; Queensland Institute of Medical Research; Radboud University Nijmegen Medical Centre; Research Institute for Diseases in the Elderly (014-93-015); Royal Swedish Academy of Science; Sahlgrenska Center for Cardiovascular and Metabolic Research (A305:188); Siemens Healthcare, Erlangen, Germany; Signe and Ane Gyllenberg Foundation; Sigrid Juselius Foundation; Social Insurance Institution of Finland; Social Ministry of the Federal State of Mecklenburg-West Pomerania; South Tyrolean Sparkasse Foundation; Stockholm County Council (560183); Support for Science Funding programme; Susan G. Komen Breast Cancer Foundation; Swedish Cancer Society; Swedish Cultural Foundation in Finland; Swedish Foundation for Strategic Research; Swedish Heart-Lung Foundation; Swedish Medical Research Council (K2007-66X-20270-01-3, 8691); Swedish National Cancer Institute; Swedish Research Council; Swedish Society of Medicine; Swiss National Science Foundation (33CSCO-122661); Torsten and Ragnar Söderberg's Foundation; Vandervell Foundation; Västra Götaland Foundation; Wellcome Trust (072960, 075491, 079557, 079895, 083270, 068545/Z/02, 076113/B/04/Z, 076113/C/04/Z, 076113/C/04/Z, 077016/Z/05/Z, 081682/Z/06/Z, 084183/Z/07/Z, 085301/Z/08/Z, 086596/Z/08/Z, 091746/Z/10/Z; WT Research Career Development Fellowship); Western Australian Genetic Epidemiology Resource and the Western Australian DNA Bank (both National Health and Medical Research Council of Australia Enabling Facilities). Detailed list of acknowledgments by study is given in the Supplementary Information.

Footnotes

Author Contributions: Full author contributions and roles are listed in the Supplementary Information.

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