Article
Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality.
Genetic epidemiology - 1 Dec 2011
Zuvich Rebecca L, Armstrong Loren L, Bielinski Suzette J, Bradford Yuki, Carlson Christopher S, Crawford Dana C, Crenshaw Andrew T, de Andrade Mariza, Doheny Kimberly F, Haines Jonathan L, Hayes M Geoffrey, Jarvik Gail P, Jiang Lan, Kullo Iftikhar J, Li Rongling, Ling Hua, Manolio Teri A, Matsumoto Martha E, McCarty Catherine A, McDavid Andrew N, Mirel Daniel B, Olson Lana M, Paschall Justin E, Pugh Elizabeth W, Rasmussen Luke V, Rasmussen-Torvik Laura J, Turner Stephen D, Wilke Russell A, Ritchie Marylyn D
Abstract excerpt
Genome-wide association studies (GWAS) are a useful approach in the study of the genetic components of complex phenotypes. Aside from large cohorts, GWAS have generally been limited to the study of one or a few diseases or traits. The emergence of biobanks linked to electronic medical records (EMRs) allows the efficient reuse of genetic data to yield meaningful genotype-phenotype associations for multiple...
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