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Genetic Epidemiology|November 20, 2012
Simulating realistic genomic data with rare variantsYaji Xu, Yinghua Wu, Chi Song, et al.Genetic Epidemiology|November 20, 2012
Incorporating network structure in integrative analysis of cancer prognosis dataJin Liu, Jian Huang, Shuangge MaGenetic Epidemiology|May 8, 2013
Pathway-based approaches for sequencing-based genome-wide association studiesGuodong Wu, Degui ZhiGenetic Epidemiology|May 2, 2013
Efficient two-step testing of gene-gene interactions in genome-wide association studiesJuan Pablo Lewinger, John L Morrison, Duncan C Thomas, et al.Genetic Epidemiology|March 14, 2013
A unified mixed-effects model for rare-variant association in sequencing studiesJianping Sun, Yingye Zheng, Li HsuGenetic Epidemiology|January 26, 2013
Two-phase designs to follow-up genome-wide association signals with DNA resequencing studiesDaniel J Schaid, Gregory D Jenkins, James N Ingle, et al.Genetic Epidemiology|January 3, 2013
Sequence kernel association test for quantitative traits in family samplesHan Chen, James B Meigs, Josée DupuisGenetic Epidemiology|January 1, 1990
An epidemiologic approach to gene-environment interactionR OttmanGenetic Epidemiology|January 1, 1990
Biochemical intermediates in alpha 1-antitrypsin deficiency: residual family resemblance for total alpha 1-antitrypsin, oxidized alpha 1-antitrypsin, and immunoglobulin E after adjustment for the effect of the Pi locusE K Silverman, M A Province, E J Campbell, et al.Genetic Epidemiology|July 30, 2013
Empirical hierarchical bayes approach to gene-environment interactions: development and application to genome-wide association studies of lung cancer in TRICLMelanie Sohns, Elena Viktorova, Christopher I Amos, et al.Pageof 285