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Genomics Commons

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Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Genome-Wide Association Studies

Articles 1 - 2 of 2

Full-Text Articles in Genomics

Efficient Replication Of Over 180 Genetic Associations With Self-Reported Medical Data, Joyce Y. Tung, Chuong B. Do, David A. Hinds, Amy K. Kiefer, J. Michael Macpherson, Arnab B. Chowdry, Uta Francke, Brian Naughton, Joanna Mountain, Anne Wojcicki, Nicholas Eriksson Jan 2011

Efficient Replication Of Over 180 Genetic Associations With Self-Reported Medical Data, Joyce Y. Tung, Chuong B. Do, David A. Hinds, Amy K. Kiefer, J. Michael Macpherson, Arnab B. Chowdry, Uta Francke, Brian Naughton, Joanna Mountain, Anne Wojcicki, Nicholas Eriksson

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

While the cost and speed of generating genomic data have come down dramatically in recent years, the slow pace of collecting medical data for large cohorts continues to hamper genetic research. Here we evaluate a novel online framework for obtaining large amounts of medical information from a recontactable cohort by assessing our ability to replicate genetic associations using these data. Using web-based questionnaires, we gathered self-reported data on 50 medical phenotypes from a generally unselected cohort of over 20,000 genotyped individuals. Of a list of genetic associations curated by NHGRI, we successfully replicated about 75% of the associations that we …


Web-Based, Participant-Driven Studies Yield Novel Genetic Associations For Common Traits, Nicholas Eriksson, J. Michael Macpherson, Joyce Y. Tung, Lawrence S. Hon, Brian Naughton, Serge Saxonov, Linda Avey, Anne Wojcicki, Itsik Pe'er, Joanna Mountain Jan 2010

Web-Based, Participant-Driven Studies Yield Novel Genetic Associations For Common Traits, Nicholas Eriksson, J. Michael Macpherson, Joyce Y. Tung, Lawrence S. Hon, Brian Naughton, Serge Saxonov, Linda Avey, Anne Wojcicki, Itsik Pe'er, Joanna Mountain

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Despite the recent rapid growth in genome-wide data, much of human variation remains entirely unexplained. A significant challenge in the pursuit of the genetic basis for variation in common human traits is the efficient, coordinated collection of genotype and phenotype data. We have developed a novel research framework that facilitates the parallel study of a wide assortment of traits within a single cohort. The approach takes advantage of the interactivity of the Web both to gather data and to present genetic information to research participants, while taking care to correct for the population structure inherent to this study design. Here …