Conditional Association Analysis

Conditional Association Analysis is a statistical method in genome-wide association studies that identifies independent genetic associations by testing the significance of a variant while adjusting for the effects of other specified variants, thereby distinguishing direct from indirect or mediated associations.

175

Publications

11.1K

Citations

1.8K

Authors

811

Institutions

Publications per year

2017–2026

54

Authors

1.8K

  1. SB
    Sang‐Cheol Bae

    Hanyang University Seoul Hospital, South Korea

    4 publications · 178 citations

    4

    h-index

  2. CG
    Christian Gieger

    Helmholtz Zentrum München, Germany

    4 publications · 144 citations

    4

    h-index

  3. PC
    Pak C. Sham

    University of Hong Kong, Hong Kong SAR China

    3 publications · 123 citations

    3

    h-index

  4. AP
    Annette Peters

    Helmholtz Zentrum München, Germany

    3 publications · 128 citations

    3

    h-index

  5. CK
    Charles Kooperberg

    Fred Hutch Cancer Center, United States

    3 publications · 150 citations

    3

    h-index

1–5 of 1.8K

Venues

  1. Human Molecular Genetics

    11 publications · 599 citations

    11

    h-index

  2. PLoS Genetics

    7 publications · 638 citations

    7

    h-index

  3. 7

    h-index

  4. PLoS ONE

    7 publications · 294 citations

    7

    h-index

  5. Annals of the Rheumatic Diseases

    ARD · 6 publications · 341 citations

    6

    h-index

1–5