Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits.

Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits.

Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage ple...

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Bibliographic Details
Main Authors: Sung Chun, Sebastian Akle, Athanasios Teodosiadis, Brian E Cade, Heming Wang, Tamar Sofer, Daniel S Evans, Katie L Stone, Sina A Gharib, Sutapa Mukherjee, Lyle J Palmer, David Hillman, Jerome I Rotter, Craig L Hanis, John A Stamatoyannopoulos, Susan Redline, Chris Cotsapas, Shamil R Sunyaev
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-12-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1010557

Internet

https://doi.org/10.1371/journal.pgen.1010557

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