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Genetic Epidemiology|October 31, 2017
Testing for the indirect effect under the null for genome-wide mediation analysesRichard Barfield, Jincheng Shen, Allan C Just, et al.Genetic Epidemiology|January 1, 1985
False-positive reporting of Down syndrome on Ohio and New York birth certificatesK M Johnson, C A Huether, E B Hook, et al.Genetic Epidemiology|January 1, 1987
Genetic epidemiology of Duchenne muscular dystrophy in Japan: classical segregation analysisM Kanamori, N E Morton, K Fujiki, et al.Genetic Epidemiology|July 5, 2021
The X factor: A robust and powerful approach to X-chromosome-inclusive whole-genome association studiesBo Chen, Radu V Craiu, Lisa J Strug, et al.Genetic Epidemiology|June 29, 2021
Genome-wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individualsChuan Gao, Anthony Marcketta, Joshua D Backman, et al.Genetic Epidemiology|January 8, 2021
Unsupervised cluster analysis of SARS-CoV-2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS-CoV-2 virusGeorg Hahn, Sanghun Lee, Scott T Weiss, et al.Genetic Epidemiology|June 26, 2021
Assisted differential network analysis for gene expression dataHuangdi Yi, Shuangge MaGenetic Epidemiology|March 20, 2020
Investigation of prediction accuracy and the impact of sample size, ancestry, and tissue in transcriptome-wide association studiesJames J Fryett, Andrew P Morris, Heather J CordellGenetic Epidemiology|December 28, 2020
Multi-tissue transcriptome-wide association studiesNastasiya F Grinberg, Chris WallaceGenetic Epidemiology|January 19, 2021
Penalized variance components for association of multiple genes with traitsDaniel J Schaid, Jason P Sinnwell, Nicholas B Larson, et al.Pageof 285