Combined Variance Tests

Combined Variance Tests is a statistical method in rare variant analysis that aggregates variant-level effects within a genomic region to test for overall phenotypic association by jointly modeling the direction and magnitude of variant effects, distinguishing it from single-variant or burden tests through its ability to accommodate both protective and risk-increasing variants.

4

Publications

100

Citations

10

Authors

5

Institutions

Publications per year

2017–2026

0

Variants

Variance-component Tests

Authors

10

  1. JA
    J. A. de Diego

    Universidad Nacional Autónoma de México, Mexico

    1 publications · 52 citations

    1

    h-index

  2. DP
    David P. Thorpe

    Temple University, United States

    1 publications · 10 citations

    1

    h-index

  3. NG
    Nick Gomes Carlos

    Universidade Federal de Viçosa, Brazil

    1 publications · 10 citations

    1

    h-index

  4. MS
    M. S. Bartlett

    University of Manchester, United Kingdom

    1 publications · 28 citations

    1

    h-index

  5. JE
    Jos eacute Henriques da Silva Derly

    Universidade Federal de Viçosa, Brazil

    1 publications · 10 citations

    1

    h-index

1–5 of 10

Venues

  1. AFRICAN JOURNAL OF BIOTECHNOLOGY

    1 publications · 10 citations

    1

    h-index

  2. 1

    h-index

  3. The Astronomical Journal

    AJ · 1 publications · 52 citations

    1

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 1 publications · 10 citations

    1

    h-index

1–4