Article
An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.
Genetic epidemiology - 1 Jul 2016
Sung Yun Ju, Winkler Thomas W, Manning Alisa K, Aschard Hugues, Gudnason Vilmundur, Harris Tamara B, Smith Albert V, Boerwinkle Eric, Brown Michael R, Morrison Alanna C, Fornage Myriam, Lin Li-An, Richard Melissa, Bartz Traci M, Psaty Bruce M, Hayward Caroline, Polasek Ozren, Marten Jonathan, Rudan Igor, Feitosa Mary F, Kraja Aldi T, Province Michael A, Deng Xuan, Fisher Virginia A, Zhou Yanhua, Bielak Lawrence F, Smith Jennifer, Huffman Jennifer E, Padmanabhan Sandosh, Smith Blair H, Ding Jingzhong, Liu Yongmei, Lohman Kurt, Bouchard Claude, Rankinen Tuomo, Rice Treva K, Arnett Donna, Schwander Karen, Guo Xiuqing, Palmas Walter, Rotter Jerome I, Alfred Tamuno, Bottinger Erwin P, Loos Ruth J F, Amin Najaf, Franco Oscar H, van Duijn Cornelia M, Vojinovic Dina, Chasman Daniel I, Ridker Paul M, Rose Lynda M, Kardia Sharon, Zhu Xiaofeng, Rice Kenneth, Borecki Ingrid B, Rao Dabeeru C, Gauderman W James, Cupples L Adrienne
Abstract excerpt
Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the "joint" framework). The...
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