Single-variant Association Analysis
Single-Variant Association Analysis is a statistical inference method used in rare variant association studies that evaluates the relationship between individual genetic variants and phenotypic traits by testing each variant separately for association, thereby distinguishing it from aggregated or gene-based analytic approaches.
164
Publications
8.9K
Citations
1.9K
Authors
715
Institutions
Publications per year
2017–2026
83
Variants
Single-variant Association Study
164
Rare variant contribution to human disease in 281,104 UK Biobank exomes
Quanli Wang, Ryan S. Dhindsa, Keren Carss et al. · Nature · 2021 · 604 citations · Full text
Firth logistic regression for rare variant association tests
Xuefeng Wang · Frontiers in Genetics · 2014 · 254 citations · Full text
1–5 of 164
1.9K
The University of Texas Health Science Center at Houston, United States
7 publications · 231 citations
7
h-index
The University of Texas Health Science Center at Houston, United States
4 publications · 125 citations
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 1.9K
715

Broad Institute
Cambridge, United States
13 h-index
59 publications
9.5K citations
National Institutes of Health
Bethesda, United States
12 h-index
36 publications
1.4K citations
University of Washington
Seattle, United States
11 h-index
29 publications
977 citations
The University of Texas Health Science Center at Houston
Houston, United States
11 h-index
38 publications
1K citations
University of Oxford
Oxford, United Kingdom
11 h-index
24 publications
3.2K citations

Karolinska Institutet
Stockholm, Sweden
11 h-index
30 publications
1.6K citations
Harvard University
Cambridge, United States
10 h-index
23 publications
1.2K citations
Inserm
Paris, France
10 h-index
35 publications
1.3K citations
1–8 of 715
10 publications · 270 citations
10
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7 publications · 409 citations
7
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7 publications · 143 citations
7
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6 publications · 223 citations
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6 publications · 125 citations
6
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