Single-variant Testing
Single-Variant Testing is a statistical inference method in rare variant analysis that evaluates the association between individual genetic variants and a phenotype by testing each variant separately, distinguishing it from aggregated or multi-variant approaches through its focus on single nucleotide-level effects.
42
Publications
2.3K
Citations
790
Authors
222
Institutions
Publications per year
2017–2026
19
Variants
Single-variant AnalysisSingle-variant Association Testing
Parents
42
Firth logistic regression for rare variant association tests
Xuefeng Wang · Frontiers in Genetics · 2014 · 254 citations · Full text
Monovar: single-nucleotide variant detection in single cells
Hamim Zafar, Yong Wang, Luay Nakhleh et al. · Nature Methods · 2016 · 181 citations
1–5 of 42
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The University of Texas Health Science Center at Houston, United States
2 publications · 63 citations
2
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2
h-index
1–5 of 790
222
University of Michigan
Ann Arbor, United States
6 h-index
24 publications
1.3K citations

University of Minnesota
Minneapolis, United States
5 h-index
13 publications
366 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
54 publications
3.6K citations

Johns Hopkins University
Baltimore, United States
4 h-index
7 publications
352 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
10 publications
270 citations
National Institutes of Health
Bethesda, United States
4 h-index
10 publications
559 citations
University of Washington
Seattle, United States
3 h-index
15 publications
780 citations
University of Miami
Coral Gables, United States
3 h-index
17 publications
404 citations
1–8 of 222
5 publications · 144 citations
5
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3 publications · 84 citations
3
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2 publications · 84 citations
2
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2 publications · 135 citations
2
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2 publications · 66 citations
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