Single-variant Association Analysis

Single-Variant Association Analysis is a statistical inference method used in rare variant association studies that evaluates the relationship between individual genetic variants and phenotypic traits by testing each variant separately for association, thereby distinguishing it from aggregated or gene-based analytic approaches.

164

Publications

8.9K

Citations

1.9K

Authors

715

Institutions

Publications per year

2017–2026

83

Variants

Single-variant Association Study

Authors

1.9K

  1. EB
    Eric Boerwinkle

    The University of Texas Health Science Center at Houston, United States

    7 publications · 231 citations

    7

    h-index

  2. MF
    Myriam Fornage

    The University of Texas Health Science Center at Houston, United States

    4 publications · 125 citations

    4

    h-index

  3. MM
    Markus M. Nöthen

    University of Bonn, Germany

    4 publications · 190 citations

    4

    h-index

  4. AF
    André Franke

    Christian-Albrechts-Universität zu Kiel, Germany

    4 publications · 106 citations

    4

    h-index

  5. SV
    Stephen V. Faraone

    SUNY Upstate Medical University, United States

    3 publications · 57 citations

    3

    h-index

1–5 of 1.9K

Venues

  1. PLoS ONE

    10 publications · 270 citations

    10

    h-index

  2. Frontiers in Genetics

    7 publications · 409 citations

    7

    h-index

  3. Scientific Reports

    7 publications · 143 citations

    7

    h-index

  4. Genetic Epidemiology

    6 publications · 223 citations

    6

    h-index

  5. 6

    h-index

1–5