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Genetic Epidemiology|February 14, 2008
Testing association in the presence of linkage using the GRE and multiple markersGudrun Jonasdottir, Tim Becker, Keith Humphreys, et al.Genetic Epidemiology|February 19, 2008
Genetic variants in IRF6 and the risk of facial clefts: single-marker and haplotype-based analyses in a population-based case-control study of facial clefts in NorwayAstanand Jugessur, Fedik Rahimov, Rolv T Lie, et al.Genetic Epidemiology|February 2, 2021
Mendelian randomisation with coarsened exposuresMatthew J Tudball, Jack Bowden, Rachael A Hughes, et al.Genetic Epidemiology|October 5, 2019
Embracing study heterogeneity for finding genetic interactions in large-scale research consortiaYulun Liu, Jing Huang, Ryan J Urbanowicz, et al.Genetic Epidemiology|September 11, 2019
Gene-based association analysis of survival traits via functional regression-based mixed effect cox models for related samplesChi-Yang Chiu, Bingsong Zhang, Shuqi Wang, et al.Genetic Epidemiology|January 1, 1988
Biological and cultural sources of familial resemblance in plasma lipids: a comparison between North America and Israel--the Lipid Research Clinics ProgramK D Bucher, Y Friedlander, E B Kaplan, et al.Genetic Epidemiology|January 1, 1989
Predicting intrauterine growth retardation in sibships while considering maternal and infant covariatesP Yang, T H Beaty, M J Khoury, et al.Genetic Epidemiology|November 5, 2016
Low-, high-coverage, and two-stage DNA sequencing in the design of the genetic association studyChao Xu, Kehao Wu, Ji-Gang Zhang, et al.Genetic Epidemiology|November 21, 2018
An optimal kernel-based U-statistic method for quantitative gene-set association analysisTao He, Shaoyu Li, Ping-Shou Zhong, et al.Genetic Epidemiology|February 17, 2019
Gene-environment interactions related to blood pressure traits in two community-based Korean cohortsJi Eun Lim, Hye Ok Kim, Sang Youl Rhee, et al.Pageof 285