Genotype Imputation Accuracy
Genotype Imputation Accuracy is a metric that quantifies the degree of concordance between imputed genotypes and true genotypes, distinguishing it from other imputation performance measures by specifically reflecting the correctness of allele or genotype predictions in the context of missing data reconstruction.
312
Publications
38.3K
Citations
2.1K
Authors
763
Institutions
Publications per year
2017–2026
137
Parents
312
Next-generation genotype imputation service and methods
Sayantan Das, Lukas Forer, Sebastian Schönherr et al. · Nature Genetics · 2016 · 4.4K citations · Full text
A reference panel of 64,976 haplotypes for genotype imputation
Michael Boehnke · Nature Genetics · 2016 · 3.3K citations · Full text
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Yun Li, Cristen J. Willer, Jun Ding et al. · Genetic Epidemiology · 2010 · 1.9K citations · Full text
1–5 of 312
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763
University of Michigan
Ann Arbor, United States
18 h-index
74 publications
72K citations

Broad Institute
Cambridge, United States
17 h-index
57 publications
12.1K citations
University of Oxford
Oxford, United Kingdom
16 h-index
54 publications
34.1K citations

University of Edinburgh
Edinburgh, United Kingdom
15 h-index
48 publications
4.4K citations
Harvard University
Cambridge, United States
14 h-index
31 publications
9.1K citations
University of Washington
Seattle, United States
14 h-index
37 publications
8.3K citations
University of Guelph
Guelph, Canada
14 h-index
40 publications
2.2K citations

Agricultural Research Service
Washington, United States
13 h-index
31 publications
3.7K citations
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GSE · 30 publications · 2K citations
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JDS · 17 publications · 1.2K citations
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14 publications · 1K citations
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14 publications · 592 citations
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13 publications · 2.3K citations
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