Enhancing the power of genetic association studies through the use of silver standard cases derived from electronic medical records.

TitleEnhancing the power of genetic association studies through the use of silver standard cases derived from electronic medical records.
Publication TypeJournal Article
Year of Publication2013
AuthorsMcDavid A, Crane PK, Newton KM, Crosslin DR, McCormick W, Weston N, Ehrlich K, Hart E, Harrison R, Kukull WA, Rottscheit C, Peissig P, Stefanski E, McCarty CA, Zuvich RLynn, Ritchie MD, Haines JL, Denny JC, Schellenberg GD, de Andrade M, Kullo I, Li R, Mirel D, Crenshaw A, Bowen JD, Li G, Tsuang D, McCurry S, Teri L, Larson EB, Jarvik GP, Carlson CS
JournalPLoS One
Volume8
Issue6
Paginatione63481
Date Published2013
ISSN1932-6203
KeywordsAged, Biomarkers, Case-Control Studies, Chi-Square Distribution, Computer Simulation, Dementia, Electronic Health Records, Genome-Wide Association Study, Genomics, Humans, Models, Statistical, Phenotype, Polymorphism, Single Nucleotide, Risk Factors
Abstract

The feasibility of using imperfectly phenotyped "silver standard" samples identified from electronic medical record diagnoses is considered in genetic association studies when these samples might be combined with an existing set of samples phenotyped with a gold standard technique. An analytic expression is derived for the power of a chi-square test of independence using either research-quality case/control samples alone, or augmented with silver standard data. The subset of the parameter space where inclusion of silver standard samples increases statistical power is identified. A case study of dementia subjects identified from electronic medical records from the Electronic Medical Records and Genomics (eMERGE) network, combined with subjects from two studies specifically targeting dementia, verifies these results.

DOI10.1371/journal.pone.0063481
Alternate JournalPLoS ONE
PubMed ID23762230
PubMed Central IDPMC3677889
Grant ListU01HG004438 / HG / NHGRI NIH HHS / United States
U01 HG006375 / HG / NHGRI NIH HHS / United States
U01 AG016976 / AG / NIA NIH HHS / United States
U01 AG006781 / AG / NIA NIH HHS / United States
AG06781 / AG / NIA NIH HHS / United States
U01 HG006378 / HG / NHGRI NIH HHS / United States
HG004610 / HG / NHGRI NIH HHS / United States