Population Variant Detection

Population Variant Detection is a methodological framework in genetic research that identifies and characterizes heritable genetic variations across a population by distinguishing collective variant patterns from individual-level noise through aggregate analysis of genomic data.

44

Publications

5.6K

Citations

316

Authors

127

Institutions

Publications per year

2017–2026

16

Authors

316

  1. MJ
    Mark J. Daly

    Broad Institute, United States

    3 publications · 300 citations

    3

    h-index

  2. MK
    Malaya K. Sahoo

    Stanford University, United States

    2 publications · 106 citations

    2

    h-index

  3. SW
    Shouyu Wang

    Institute of Forensic Science, China

    2 publications · 42 citations

    2

    h-index

  4. MF
    Matteo Fumagalli

    University of Copenhagen, Denmark

    2 publications · 121 citations

    2

    h-index

  5. CR
    Charles R. Newton

    Kenya Medical Research Institute, Kenya

    2 publications · 133 citations

    2

    h-index

1–5 of 316

Venues

  1. Scientific Reports

    2 publications · 47 citations

    2

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 22 citations

    2

    h-index

  3. The American Journal of Human Genetics

    AJHG · 2 publications · 289 citations

    2

    h-index

  4. Science

    2 publications · 629 citations

    2

    h-index

  5. Forensic Science International Genetics

    FSI · 2 publications · 40 citations

    2

    h-index

1–5