Association Study Quality Control

Association Study Quality Control is a systematic methodological framework within genome-wide association studies that ensures the validity and reliability of genetic associations by identifying and mitigating biases, errors, and confounding factors in genotypic and phenotypic data through rigorous statistical and computational checks.

56

Publications

7.3K

Citations

467

Authors

229

Institutions

Publications per year

2017–2026

14

Authors

467

  1. MD
    Marylyn D. Ritchie

    Vanderbilt University, United States

    5 publications · 576 citations

    5

    h-index

  2. DB
    Daniel B. Mirel

    Broad Institute, United States

    4 publications · 1.1K citations

    4

    h-index

  3. EP
    Elizabeth Pugh

    Johns Hopkins University, United States

    4 publications · 974 citations

    4

    h-index

  4. BM
    Benjamin M. Neale

    Broad Institute, United States

    4 publications · 227 citations

    4

    h-index

  5. GP
    Gail P. Jarvik

    University of Washington, United States

    3 publications · 486 citations

    3

    h-index

1–5 of 467

Venues

  1. Bioinformatics

    6 publications · 262 citations

    6

    h-index

  2. Human Molecular Genetics

    3 publications · 304 citations

    3

    h-index

  3. PLoS ONE

    3 publications · 197 citations

    3

    h-index

  4. Genetic Epidemiology

    3 publications · 628 citations

    3

    h-index

  5. Nature Protocols

    2 publications · 2K citations

    2

    h-index

1–5