Pedigree-based Variance Estimation

Pedigree-Based Variance Estimation is a statistical method in family-based genetic analysis that uses known familial relationships within a pedigree to partition phenotypic variance into genetic and non-genetic components by modeling the expected proportion of alleles shared among relatives.

89

Publications

4.5K

Citations

263

Authors

135

Institutions

Publications per year

2017–2026

5

Authors

263

  1. PM
    Peter M. Visscher

    The University of Queensland, Australia

    5 publications · 223 citations

    5

    h-index

  2. RC
    Robert C. Elston

    Case Western Reserve University, United States

    3 publications · 199 citations

    3

    h-index

  3. AL
    Andrés Legarra

    Génétique Physiologie et Systèmes d'Elevage, France

    3 publications · 129 citations

    3

    h-index

  4. ME
    Michael E. Goddard

    The University of Melbourne, Australia

    3 publications · 176 citations

    3

    h-index

  5. IH
    Ina Hoeschele

    Virginia Tech, United States

    3 publications · 79 citations

    3

    h-index

1–5 of 263

Venues

  1. Genetic Epidemiology

    12 publications · 440 citations

    12

    h-index

  2. Annals of Human Genetics

    7 publications · 670 citations

    7

    h-index

  3. Genetics

    6 publications · 258 citations

    6

    h-index

  4. Biometrics

    6 publications · 315 citations

    6

    h-index

  5. Journal of Animal Breeding and Genetics

    4 publications · 67 citations

    4

    h-index

1–5