High-resolution Association Mapping
High-Resolution Association Mapping is a statistical genomics method that refines the localization of causal genetic variants by leveraging dense marker panels and large sample sizes to achieve finer-scale inference of genotype-phenotype associations within genomic regions identified by earlier broad association studies.
54
Publications
15.9K
Citations
1.2K
Authors
541
Institutions
Publications per year
2017–2026
15
Parents
54
TASSEL: software for association mapping of complex traits in diverse samples
Peter J. Bradbury, Zhiwu Zhang, Dallas E. Kroon et al. · Bioinformatics · 2007 · 8.3K citations · Full text
Genetic diversity fuels gene discovery for tobacco and alcohol use
Gretchen Saunders, Xingyan Wang, Fang Chen et al. · Nature · 2022 · 508 citations · Full text
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University of North Carolina at Chapel Hill, United States
3 publications · 2.5K citations
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University of Oxford
Oxford, United Kingdom
9 h-index
80 publications
41.2K citations
Harvard University
Cambridge, United States
7 h-index
34 publications
11.3K citations

Centre for Human Genetics
Oxford, United Kingdom
7 h-index
57 publications
32.2K citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
39 publications
9K citations

University of Edinburgh
Edinburgh, United Kingdom
6 h-index
15 publications
5K citations

Cornell University
Ithaca, United States
6 h-index
21 publications
51K citations

Broad Institute
Cambridge, United States
5 h-index
21 publications
10.3K citations

Washington University in St. Louis
St Louis, United States
5 h-index
15 publications
5K citations
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5 publications · 250 citations
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4 publications · 475 citations
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AJHG · 3 publications · 1.1K citations
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3 publications · 2.4K citations
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GR · 3 publications · 844 citations
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