Quantitative Trait Architecture

Quantitative Trait Architecture is a conceptual framework that specifies the genetic and environmental components underlying continuous phenotypic variation, distinguished by its focus on the number, effect sizes, interactions, and genomic organization of loci contributing to quantitative traits.

123

Publications

10.2K

Citations

610

Authors

262

Institutions

Publications per year

2017–2026

32

Authors

610

  1. JM
    James M. Cheverud

    Washington University in St. Louis, United States

    5 publications · 441 citations

    5

    h-index

  2. TF
    Trudy F. C. Mackay

    North Carolina State University, United States

    4 publications · 388 citations

    4

    h-index

  3. EJ
    Eric J. Routman

    San Francisco State University, United States

    4 publications · 407 citations

    4

    h-index

  4. JS
    Joshua S. Bloom

    Howard Hughes Medical Institute, United States

    3 publications · 248 citations

    3

    h-index

  5. RW
    Rongling Wu

    University of Florida, United States

    3 publications · 75 citations

    3

    h-index

1–5 of 610

Venues

  1. Genetics

    11 publications · 730 citations

    11

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  2. Theoretical and Applied Genetics

    8 publications · 514 citations

    8

    h-index

  3. Heredity

    7 publications · 449 citations

    7

    h-index

  4. PLoS Genetics

    6 publications · 495 citations

    6

    h-index

  5. Evolution

    6 publications · 549 citations

    6

    h-index

1–5