Admixture Inference

Admixture Inference is a population genetics method that estimates the proportional contributions of distinct ancestral populations to the genetic makeup of individuals or populations, distinguishing itself by modeling ancestry as a mixture of discrete source groups while accounting for allele frequency differences across those groups.

243

Publications

32.4K

Citations

1.3K

Authors

582

Institutions

Publications per year

2017–2026

74

Authors

1.3K

  1. DR
    David Reich

    Harvard University, United States

    9 publications · 2.5K citations

    9

    h-index

  2. SX
    Shuhua Xu

    Chinese Academy of Sciences, China

    7 publications · 294 citations

    7

    h-index

  3. MD
    Mark D. Shriver

    Pennsylvania State University, United States

    7 publications · 2.1K citations

    7

    h-index

  4. LC
    Lounès Chikhi

    Université Toulouse III - Paul Sabatier, France

    6 publications · 247 citations

    6

    h-index

  5. EJ
    Esteban J. Parra

    University of Toronto, Canada

    6 publications · 2.1K citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Genetics

    12 publications · 10.3K citations

    12

    h-index

  2. American Journal of Physical Anthropology

    14 publications · 1.3K citations

    12

    h-index

  3. Molecular Ecology

    11 publications · 1.3K citations

    11

    h-index

  4. Molecular Ecology Resources

    11 publications · 4K citations

    10

    h-index

  5. PLoS ONE

    9 publications · 649 citations

    9

    h-index

1–5