Bivariate Trait Analysis

Bivariate Trait Analysis is a statistical methodology within quantitative genetic analysis that specifically examines the covariation between two traits simultaneously to infer shared genetic or environmental influences, distinguished from univariate or multivariate approaches by its focus on exactly two phenotypic traits.

63

Publications

2.7K

Citations

284

Authors

135

Institutions

Publications per year

2017–2026

11

Authors

284

  1. JB
    John Blangero

    Texas Biomedical Research Institute, United States

    9 publications · 781 citations

    9

    h-index

  2. TD
    Thomas D. Dyer

    Texas Biomedical Research Institute, United States

    5 publications · 531 citations

    5

    h-index

  3. MC
    Michael C. Mahaney

    Texas Biomedical Research Institute, United States

    5 publications · 182 citations

    5

    h-index

  4. LA
    Laura Almasy

    Texas Biomedical Research Institute, United States

    5 publications · 182 citations

    5

    h-index

  5. JE
    Joanne E. Curran

    The University of Texas Rio Grande Valley, United States

    4 publications · 164 citations

    4

    h-index

1–5 of 284

Venues

  1. Genetic Epidemiology

    7 publications · 622 citations

    7

    h-index

  2. Journal of Animal Science

    5 publications · 232 citations

    5

    h-index

  3. Journal of Animal Breeding and Genetics

    4 publications · 90 citations

    4

    h-index

  4. animal

    2 publications · 77 citations

    2

    h-index

  5. Obesity

    2 publications · 56 citations

    2

    h-index

1–5