Including known covariates can reduce power to detect genetic effects in case-control studies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics
Link
http://www.nature.com/articles/ng.2346.pdf
Reference14 articles.
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3. Prentice, R.L. & Pyke, R. Logistic disease incidence models and case-control studies. Biometrika 66, 403–411 (1979).
4. Neuhaus, J.M. & Jewell, N.P. A geometric approach to assess bias due to omitted covariates in generalized linear-models. Biometrika 80, 807–815 (1993).
5. Stringer, S., Wray, N.R., Kahn, R.S. & Derks, E.M. Underestimated effect sizes in GWAS: fundamental limitations of single SNP analysis for dichotomous phenotypes. PLoS ONE 6, e27964 (2011).
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