KCTD13 is a major driver of mirrored neuroanatomical phenotypes of the 16p11.2 copy number variant (original) (raw)
- Letter
- Published: 16 May 2012
- Jason Willer1,
- Michael E. Talkowski2,3,
- Edwin C. Oh1,
- Yu Taniguchi4,
- Sébastien Jacquemont5,
- Alexandre Reymond6,
- Mei Sun2,
- Akira Sawa4,
- James F. Gusella2,3,
- Atsushi Kamiya4,
- Jacques S. Beckmann5,7 &
- …
- Nicholas Katsanis1,8
Nature volume 485, pages 363–367 (2012)Cite this article
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Abstract
Copy number variants (CNVs) are major contributors to genetic disorders1. We have dissected a region of the 16p11.2 chromosome—which encompasses 29 genes—that confers susceptibility to neurocognitive defects when deleted or duplicated2,3. Overexpression of each human transcript in zebrafish embryos identified KCTD13 as the sole message capable of inducing the microcephaly phenotype associated with the 16p11.2 duplication2,3,4,5, whereas suppression of the same locus yielded the macrocephalic phenotype associated with the 16p11.2 deletion5,6, capturing the mirror phenotypes of humans. Analyses of zebrafish and mouse embryos suggest that microcephaly is caused by decreased proliferation of neuronal progenitors with concomitant increase in apoptosis in the developing brain, whereas macrocephaly arises by increased proliferation and no changes in apoptosis. A role for KCTD13 dosage changes is consistent with autism in both a recently reported family with a reduced 16p11.2 deletion and a subject reported here with a complex 16p11.2 rearrangement involving de novo structural alteration of KCTD13. Our data suggest that KCTD13 is a major driver for the neurodevelopmental phenotypes associated with the 16p11.2 CNV, reinforce the idea that one or a small number of transcripts within a CNV can underpin clinical phenotypes, and offer an efficient route to identifying dosage-sensitive loci.
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Acknowledgements
We thank C. Hanscom for technical assistance. We also thank J. Black, J. Whetstine, K. Brown and C. Lee for assistance with the initial and confirmatory array CGH experiments, S. Santagelo for analysis of clinical phenotype data, and M. State, M. Daley and R. Gibbs for sharing unpublished exome sequencing data. This work was supported by a Silvo O. Conte center grant (MH-094268) from the National Institute of Mental Health (NIMH), National Institutes of Health grant MH-084018 (A.S., A.K. and N.K.), grant MH-091230 (A.K.), grant HD06286 (J.F.G.), the Simon's Foundation, the Autism Consortium of Boston (J.F.G.), the Leenaards Foundation Prize (S.J. and A.R.), the Swiss National Science Foundation (A.R. and J.S.B.), a Swiss National Science Foundation Sinergia grant (S.J., J.S.B. and A.R.). M.E.T. was supported by an NIMH National Research Service Award (F32MH087123). S.J. is a recipient of a bourse de relève académique de la Faculté de Biologie et Médecine de l’Université de Lausanne. N.K. is a Distinguished Brumley Professor.
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Authors and Affiliations
- Center for Human Disease Modeling and Department of Cell biology, Duke University, Durham, 27710, North Carolina, USA
Christelle Golzio, Jason Willer, Edwin C. Oh & Nicholas Katsanis - Molecular Neurogenetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, 02114, Massachusetts, USA
Michael E. Talkowski, Mei Sun & James F. Gusella - Departments of Neurology and Genetics, Harvard Medical School, Boston, 02115, Massachusetts, USA
Michael E. Talkowski & James F. Gusella - Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, 21287, Maryland, USA
Yu Taniguchi, Akira Sawa & Atsushi Kamiya - Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois, Lausanne, 1011, Switzerland
Sébastien Jacquemont & Jacques S. Beckmann - Center for Integrative Genomics, University of Lausanne, Lausanne, 1015, Switzerland
Alexandre Reymond - Department of Medical Genetics, University of Lausanne, Lausanne, 1005, Switzerland
Jacques S. Beckmann - Department of Pediatrics, Duke University, Durham, 27710, North Carolina, USA
Nicholas Katsanis
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Contributions
Author Contributions C.G. and N.K. designed the study and wrote the paper, and all authors approved and commented on the manuscript. C.G. performed the zebrafish studies, immunostaining, TUNEL and sectioning experiments, and counting analyses. J.W. made the plasmid constructs and capped mRNAs. M.E.T., M.S. and J.F.G. performed the human genetic analyses. E.C.O. performed the shRNA silencing and BrdU pulse experiments, and generated mice brain sections. Y.T., A.S. and A.K. performed in utero electroporations. S.J., A.R. and J.S.B. designed the 16p-specific microarray and shared unpublished data that informed our experimental design.
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Correspondence toNicholas Katsanis.
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Golzio, C., Willer, J., Talkowski, M. et al. KCTD13 is a major driver of mirrored neuroanatomical phenotypes of the 16p11.2 copy number variant.Nature 485, 363–367 (2012). https://doi.org/10.1038/nature11091
- Received: 04 September 2011
- Accepted: 27 March 2012
- Published: 16 May 2012
- Issue Date: 17 May 2012
- DOI: https://doi.org/10.1038/nature11091
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Editorial Summary
Gene dosage in psychiatric disease
Copy number variants (CNVs) make an important contribution to genetic disorders, and some CNVs have been shown to have reciprocal phenotypic effects. For instance, duplication of chromosomal region 16p11.2 has been linked to autism, schizophrenia and microcephaly, and reciprocal deletion to autism, obesity and macrocephaly. By manipulating levels of expression — in pairwise combination — of zebrafish orthologues in this genomic interval, Nicholas Katsanis and colleagues identified KCTD13 as the locus that can recapitulate the macro- and microcephalic phenotype, which they show is underpinned by a proliferative defect. Together with further human genetic data, these results suggest that KCTD13 is a major driver for the neurodevelopmental phenotypes associated with 16p11.2 duplication/deletion. The approach used here also offers a way of identifying other dosage-sensitive loci.