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Genetic Epidemiology|June 19, 2008
A comparison of analytical methods for genetic association studiesAlison A Motsinger-Reif, David M Reif, Theresa J Fanelli, et al.Genetic Epidemiology|September 13, 2007
A principal components regression approach to multilocus genetic association studiesKai Wang, Diana AbbottGenetic Epidemiology|August 12, 2020
Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancerTianzhong Yang, Hongwei Tang, Harvey A Risch, et al.Genetic Epidemiology|August 12, 2020
Polygenic modelling of treatment effect heterogeneityZhi Ming Xu, Stephen BurgessGenetic Epidemiology|August 13, 2020
Joint testing of donor and recipient genetic matching scores and recipient genotype has robust power for finding genes associated with transplant outcomesVictoria L Arthur, Weihua Guan, Bao-Li Loza, et al.Genetic Epidemiology|March 6, 2015
Methods for association analysis and meta-analysis of rare variants in familiesShuang Feng, Giorgio Pistis, He Zhang, et al.Genetic Epidemiology|January 1, 1988
Power of the affected-sib-pair method for heterogeneous disordersL R Goldin, E S GershonGenetic Epidemiology|February 20, 2015
Deciphering Genome Environment Wide Interactions Using Exposed Subjects OnlyLue Ping Zhao, Wenhong Fan, Gary Goodman, et al.Genetic Epidemiology|January 1, 1986
Familial aggregation of cancer in Laredo, Texas: a generally low-risk Mexican-American populationK M Weiss, R Chakraborty, P E Smouse, et al.Genetic Epidemiology|July 22, 2020
A principal component approach to improve association testing with polygenic risk scoresBrandon J Coombes, Alexander Ploner, Sarah E Bergen, et al.Pageof 285