Gene-based Association Testing
Gene-Based Association Testing is a statistical method in genome-wide association studies that aggregates genetic variants within a gene region to test for collective associations with a phenotype, distinguishing it from single-variant approaches by evaluating the joint effect of multiple variants within a biologically defined gene unit.
183
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12.5K
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1.8K
Authors
700
Institutions
Publications per year
2017–2026
86
Variants
Gene-based Association Analysis
183
A global test for groups of genes: testing association with a clinical outcome
Jelle J. Goeman, Sara A. van de Geer, Floor de Kort et al. · Bioinformatics · 2003 · 1.1K citations · Full text
A Versatile Gene-Based Test for Genome-wide Association Studies
Jimmy Z. Liu, Allan F. McRae, Dale R. Nyholt et al. · The American Journal of Human Genetics · 2010 · 837 citations · Full text
Why, When and How to Adjust Your P Values?
Mohieddin Jafari, Naser Ansari‐Pour · PubMed · 2019 · 472 citations · Full text
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Harvard University
Cambridge, United States
17 h-index
22 publications
1.2K citations
Massachusetts General Hospital
Boston, United States
15 h-index
18 publications
1.3K citations

Johns Hopkins University
Baltimore, United States
14 h-index
16 publications
669 citations
University of Michigan
Ann Arbor, United States
13 h-index
14 publications
894 citations

Broad Institute
Cambridge, United States
13 h-index
16 publications
1.2K citations
Boston University
Boston, United States
11 h-index
11 publications
603 citations
University of Washington
Seattle, United States
11 h-index
13 publications
558 citations
National Institutes of Health
Bethesda, United States
11 h-index
12 publications
395 citations
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15 publications · 491 citations
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AJHG · 12 publications · 2.5K citations
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13 publications · 1.7K citations
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11 publications · 695 citations
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9 publications · 718 citations
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