Polygenic Score Modeling
Polygenic Score Modeling is a computational method that quantifies an individual's genetic predisposition for a trait or disease by aggregating the effects of numerous single nucleotide polymorphisms across the genome, weighted by their effect sizes estimated from genome-wide association studies.
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30K
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6.5K
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Publications per year
2017–2026
367
Variants
Pgs ModelingPolygenic Risk Score Modeling
Parents
418
PRSice-2: Polygenic Risk Score software for biobank-scale data
Shing Wan Choi, Paul F. O’Reilly · GigaScience · 2019 · 1.7K citations · Full text
Power and Predictive Accuracy of Polygenic Risk Scores
Frank Dudbridge · PLoS Genetics · 2013 · 1.6K citations · Full text
LDpred2: better, faster, stronger
Florian Privé, Julyan Arbel, Bjarni J. Vilhjálmsson · Bioinformatics · 2020 · 766 citations · Full text
The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation
Samuel A. Lambert, Laurent Gil, Simon Jupp et al. · Nature Genetics · 2021 · 744 citations · Full text
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Harvard University
Cambridge, United States
35 h-index
335 publications
38.9K citations
Massachusetts General Hospital
Boston, United States
33 h-index
228 publications
36.7K citations

Broad Institute
Cambridge, United States
32 h-index
237 publications
54.2K citations
King's College London
London, United Kingdom
31 h-index
158 publications
18.9K citations
Stanford University
Stanford, United States
25 h-index
52 publications
3.7K citations

Brigham and Women's Hospital
Boston, United States
23 h-index
139 publications
6.8K citations
University College London
London, United Kingdom
22 h-index
63 publications
5.2K citations
University of Michigan
Ann Arbor, United States
21 h-index
94 publications
6.4K citations
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Repository · 32 publications · 880 citations
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13 publications · 454 citations
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AJHG · 12 publications · 1.8K citations
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