Bayesian Segregation Analysis

Bayesian Segregation Analysis is a statistical method for inferring inheritance patterns of traits within families by applying Bayesian inference to combine observed pedigree data with prior distributions on genetic parameters, thereby distinguishing it from classical segregation analysis through its probabilistic integration of uncertainty and prior knowledge.

25

Publications

1.1K

Citations

92

Authors

60

Institutions

Publications per year

2017–2026

1

Authors

92

  1. EM
    Ellen M. Wijsman

    University of Washington, United States

    3 publications · 106 citations

    3

    h-index

  2. LJ
    Luc Janss

    Aarhus University, Denmark

    3 publications · 85 citations

    3

    h-index

  3. HN
    Haja N. Kadarmideen

    University of Copenhagen, Denmark

    2 publications · 71 citations

    2

    h-index

  4. EW
    E. Warwick Daw

    Washington University in St. Louis, United States

    2 publications · 95 citations

    2

    h-index

  5. RP
    Robert P. Igo

    Case Western Reserve University, United States

    2 publications · 28 citations

    2

    h-index

1–5 of 92

Venues

  1. Journal of Animal Science

    3 publications · 66 citations

    3

    h-index

  2. Annals of Human Genetics

    2 publications · 38 citations

    2

    h-index

  3. Genetics

    2 publications · 60 citations

    2

    h-index

  4. Genetic Epidemiology

    2 publications · 34 citations

    2

    h-index

  5. Human Heredity

    1 publications · 11 citations

    1

    h-index

1–5