Article
Informed conditioning on clinical covariates increases power in case-control association studies.
PLoS genetics - 1 Jan 2012
Zaitlen Noah, Lindström Sara, Pasaniuc Bogdan, Cornelis Marilyn, Genovese Giulio, Pollack Samuela, Barton Anne, Bickeböller Heike, Bowden Donald W, Eyre Steve, Freedman Barry I, Friedman David J, Field John K, Groop Leif, Haugen Aage, Heinrich Joachim, Henderson Brian E, Hicks Pamela J, Hocking Lynne J, Kolonel Laurence N, Landi Maria Teresa, Langefeld Carl D, Le Marchand Loic, Meister Michael, Morgan Ann W, Raji Olaide Y, Risch Angela, Rosenberger Albert, Scherf David, Steer Sophia, Walshaw Martin, Waters Kevin M, Wilson Anthony G, Wordsworth Paul, Zienolddiny Shanbeh, Tchetgen Eric Tchetgen, Haiman Christopher, Hunter David J, Plenge Robert M, Worthington Jane, Christiani David C, Schaumberg Debra A, Chasman Daniel I, Altshuler David, Voight Benjamin, Kraft Peter, Patterson Nick, Price Alkes L
Abstract excerpt
Genetic case-control association studies often include data on clinical covariates, such as body mass index (BMI), smoking status, or age, that may modify the underlying genetic risk of case or control samples. For example, in type 2 diabetes, odds ratios for established variants estimated from low-BMI cases are larger than those estimated from high-BMI cases. An unanswered question is how to use this information...
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