Pleiotropy Analysis

Pleiotropy Analysis is a quantitative genetic method that identifies and characterizes the influence of a single genetic variant on multiple phenotypic traits, distinguishing it from univariate trait analyses by explicitly modeling shared genetic effects across traits.

431

Publications

38.3K

Citations

2.6K

Authors

955

Institutions

Publications per year

2017–2026

279

Authors

2.6K

  1. GD
    George Davey Smith

    University of Bristol, United Kingdom

    9 publications · 11.8K citations

    9

    h-index

  2. HD
    Hong‐Wen Deng

    Hunan Normal University, China

    8 publications · 203 citations

    7

    h-index

  3. JB
    John Blangero

    Texas Biomedical Research Institute, United States

    6 publications · 199 citations

    6

    h-index

  4. GH
    Gibran Hemani

    University of Bristol, United Kingdom

    6 publications · 12.4K citations

    6

    h-index

  5. PX
    Peng Xu

    Xi'an Jiaotong University, China

    5 publications · 260 citations

    5

    h-index

1–5 of 2.6K

Venues

  1. Frontiers in Genetics

    15 publications · 481 citations

    15

    h-index

  2. Frontiers in Endocrinology

    12 publications · 349 citations

    12

    h-index

  3. Genetic Epidemiology

    14 publications · 894 citations

    12

    h-index

  4. Genetics

    12 publications · 1.1K citations

    12

    h-index

  5. Evolution

    12 publications · 521 citations

    12

    h-index

1–5