Statistical Genetics

Statistical Genetics is a branch of applied statistics that develops and applies quantitative methods for analyzing genetic data to elucidate the relationships between genetic variation and phenotypic traits.

15.6K

Publications

1.9M

Citations

34.6K

Authors

5.9K

Institutions

Publications per year

2017–2026

2.6K

Authors

34.6K

  1. PM
    Peter M. Visscher

    The University of Queensland, Australia

    137 publications · 32.3K citations

    65

    h-index

  2. IM
    I. Misztal

    University of Georgia, United States

    106 publications · 10.5K citations

    52

    h-index

  3. ME
    Michael E. Goddard

    The University of Melbourne, Australia

    74 publications · 31.5K citations

    50

    h-index

  4. WG
    William G. Hill

    University of Edinburgh, United Kingdom

    78 publications · 12.9K citations

    48

    h-index

  5. BJ
    Ben J. Hayes

    The University of Queensland, Australia

    61 publications · 15K citations

    44

    h-index

1–5 of 34.6K

Venues

  1. Genetics

    1K publications · 249.6K citations

    186

    h-index

  2. The American Journal of Human Genetics

    AJHG · 263 publications · 61.4K citations

    105

    h-index

  3. Genetic Epidemiology

    716 publications · 46.6K citations

    98

    h-index

  4. Bioinformatics

    325 publications · 151.7K citations

    93

    h-index

  5. Journal of Animal Science

    601 publications · 30.7K citations

    86

    h-index

1–5

See also

Statistical Genetics

Core Methods

Applications

Data Types

Evaluation

Limitations