Variance-component Tests

Variance-Component Tests is a statistical framework in rare variant analysis that belongs to the class of gene-set or region-based association methods, distinguished by its modeling of the collective effect of multiple rare variants as a random effect to test for variance components associated with genetic regions.

118

Publications

11.7K

Citations

403

Authors

220

Institutions

Publications per year

2017–2026

13

Variants

Variance Component Test

Authors

403

  1. XL
    Xihong Lin

    Harvard University, United States

    10 publications · 1K citations

    8

    h-index

  2. SL
    Seunggeun Lee

    University of Michigan, United States

    4 publications · 225 citations

    4

    h-index

  3. JB
    John Blangero

    Texas Biomedical Research Institute, United States

    4 publications · 557 citations

    4

    h-index

  4. GV
    Geert Verbeke

    KU Leuven, Belgium

    3 publications · 275 citations

    3

    h-index

  5. TM
    Thomas Mathew

    University of Maryland, Baltimore County, United States

    3 publications · 161 citations

    3

    h-index

1–5 of 403

Venues

  1. Genetic Epidemiology

    17 publications · 724 citations

    14

    h-index

  2. Biometrics

    13 publications · 1.7K citations

    13

    h-index

  3. 8

    h-index

  4. Genetics Selection Evolution

    GSE · 4 publications · 216 citations

    4

    h-index

  5. Biometrika

    4 publications · 409 citations

    4

    h-index

1–5