| Autor: |
McDavid A; Department of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America. amcdavid@fhcrc.org, 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 RL, 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 |
| Jazyk: |
angličtina |
| Zdroj: |
PloS one [PLoS One] 2013 Jun 10; Vol. 8 (6), pp. e63481. Date of Electronic Publication: 2013 Jun 10 (Print Publication: 2013). |
| DOI: |
10.1371/journal.pone.0063481 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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