Embracing study heterogeneity for finding genetic interactions in large‐scale research consortia

Author:

Liu Yulun1,Huang Jing2,Urbanowicz Ryan J.3,Chen Kun4,Manduchi Elisabetta23ORCID,Greene Casey S.5,Moore Jason H.23,Scheet Paul6,Chen Yong23ORCID

Affiliation:

1. Department of Population and Data Sciences The University of Texas Southwestern Medical Center Dallas Texas

2. Department of Biostatistics, Epidemiology, and Informatics University of Pennsylvania Philadelphia Pennsylvania

3. Institute for Biomedical Informatics University of Pennsylvania Philadelphia Pennsylvania

4. Department of Statistics University of Connecticut Storrs Connecticut

5. Department of Pharmacology University of Pennsylvania Philadelphia Pennsylvania

6. Department of Epidemiology The University of Texas MD Anderson Cancer Center Houston Texas

Funder

Division of Information and Intelligent Systems

U.S. National Library of Medicine

National Institute of Allergy and Infectious Diseases

National Institute of Environmental Health Sciences

National Human Genome Research Institute

National Cancer Institute

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Heterogeneity Exploration for Multi-Response Regression;Communications in Mathematics and Statistics;2023-07-12

2. HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm;Journal of Biomedical Informatics;2023-06

3. Multi‐Omic Approaches to Identify Genetic Factors in Metabolic Syndrome;Comprehensive Physiology;2021-12-29

4. RARE;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2021-07-07

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