G-matrix Estimation

G-Matrix Estimation is the statistical methodology used in quantitative genetics to infer the additive genetic variance-covariance matrix among multiple phenotypic traits, distinguishing it from other genetic parameter estimation techniques by its focus on multivariate genetic architecture and evolutionary covariance structure.

40

Publications

2.7K

Citations

73

Authors

47

Institutions

Publications per year

2017–2026

4

Authors

73

  1. DA
    Derek A. Roff

    McGill University, Canada

    6 publications · 318 citations

    6

    h-index

  2. AF
    Aneil F. Agrawal

    University of Toronto, Canada

    2 publications · 362 citations

    3

    h-index

  3. MB
    Mats Björklund

    Uppsala University, Sweden

    3 publications · 126 citations

    3

    h-index

  4. MB
    Mattieu Bégin

    McGill University, Canada

    3 publications · 162 citations

    3

    h-index

  5. JR
    John R. Stinchcombe

    University of Toronto, Canada

    3 publications · 368 citations

    3

    h-index

1–5 of 73

Venues

  1. Evolution

    9 publications · 334 citations

    9

    h-index

  2. Journal of Evolutionary Biology

    JEB · 5 publications · 371 citations

    5

    h-index

  3. Evolutionary Biology

    3 publications · 174 citations

    3

    h-index

  4. Genetics

    3 publications · 179 citations

    3

    h-index

  5. 2

    h-index

1–5