A navigator for human genome epidemiology (original) (raw)

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• Published: February 2008

Nature Genetics volume 40, pages 124–125 (2008)Cite this article

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To the Editor:

Recent successes in large-scale genetic association studies call for renewed attention to integrating research results, not only among studies, but across disciplines1. At the molecular level, genetic polymorphisms provide a starting point for investigating the functions of complex biological systems. At the population level, epidemiologists can begin to use data on genetic variation, associations and interactions to interpret population attributable fractions and estimate the potential health impact of genetically directed interventions2. Publicly available genetic sequence databases have demonstrated their value in accelerating the Human Genome Project and advancing the field of molecular genetics; newer efforts, such as dbGaP and CGEMS, are now beginning to make genotype-phenotype data broadly available to the scientific community3.

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Authors and Affiliations

1. National Office of Public Health Genomics Centers for Disease Control and Prevention, Atlanta, 30309, Georgia, USA
   Wei Yu, Marta Gwinn, Melinda Clyne, Ajay Yesupriya & Muin J Khoury

Authors

1. Wei Yu
2. Marta Gwinn
3. Melinda Clyne
4. Ajay Yesupriya
5. Muin J Khoury

Corresponding author

Correspondence toWei Yu.

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Yu, W., Gwinn, M., Clyne, M. et al. A navigator for human genome epidemiology.Nat Genet 40, 124–125 (2008). https://doi.org/10.1038/ng0208-124

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• Issue date: February 2008
• DOI: https://doi.org/10.1038/ng0208-124

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