Phewas Phenotyping

PheWAS Phenotyping is a computational methodological framework within biomedical informatics that enables the systematic, large-scale mapping of phenotypic traits to genotypic associations by leveraging electronic health records and statistical association testing across diverse disease endpoints.

64

Publications

5.4K

Citations

574

Authors

203

Institutions

Publications per year

2017–2026

45

Variants

Phenome-wide Association Study Phenotyping

Authors

574

  1. MD
    Marylyn D. Ritchie

    Vanderbilt University, United States

    19 publications · 2.5K citations

    16

    h-index

  2. JC
    Joshua C. Denny

    Vanderbilt University, United States

    15 publications · 2.7K citations

    13

    h-index

  3. SA
    Sarah A. Pendergrass

    Pennsylvania State University, United States

    14 publications · 900 citations

    13

    h-index

  4. DC
    Dana C. Crawford

    Vanderbilt University, United States

    10 publications · 2K citations

    10

    h-index

  5. SJ
    Scott J. Hebbring

    Mayo Clinic, United States

    8 publications · 391 citations

    8

    h-index

1–5 of 574

Venues

  1. Bioinformatics

    4 publications · 1.9K citations

    4

    h-index

  2. PLoS ONE

    4 publications · 99 citations

    4

    h-index

  3. PLoS Genetics

    3 publications · 286 citations

    3

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 70 citations

    3

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 3 publications · 209 citations

    3

    h-index

1–5