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.

418

Publications

30K

Citations

6.5K

Authors

1.4K

Institutions

Publications per year

2017–2026

367

Variants

Pgs ModelingPolygenic Risk Score Modeling

Authors

6.5K

  1. BW
    Benjamin W. Domingue

    Stanford University, United States

    15 publications · 1.2K citations

    14

    h-index

  2. FP
    Florian Privé

    Aarhus University, Denmark

    11 publications · 1.8K citations

    10

    h-index

  3. RP
    Robert Plomin

    King's College London, United Kingdom

    10 publications · 967 citations

    10

    h-index

  4. BJ
    Bjarni J. Vilhjálmsson

    Aarhus University, Denmark

    9 publications · 1.7K citations

    9

    h-index

  5. PM
    Peter M. Visscher

    The University of Queensland, Australia

    9 publications · 1K citations

    9

    h-index

1–5 of 6.5K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 32 publications · 880 citations

    18

    h-index

  2. Nature Communications

    14 publications · 1.2K citations

    14

    h-index

  3. Translational Psychiatry

    13 publications · 682 citations

    13

    h-index

  4. Scientific Reports

    13 publications · 454 citations

    12

    h-index

  5. The American Journal of Human Genetics

    AJHG · 12 publications · 1.8K citations

    12

    h-index

1–5