Joint Fine-mapping

Joint Fine-Mapping is a statistical fine-mapping method that simultaneously analyzes multiple genetic variants across associated loci to identify sets of causal variants while accounting for linkage disequilibrium and allelic heterogeneity within a unified framework.

45

Publications

2.6K

Citations

501

Authors

198

Institutions

Publications per year

2017–2026

15

Authors

501

  1. PL
    Po‐Ru Loh

    Harvard University, United States

    2 publications · 373 citations

    2

    h-index

  2. JL
    Jennifer L. Asimit

    Wellcome Sanger Institute, United Kingdom

    2 publications · 60 citations

    2

    h-index

  3. LL
    Loı̈c Le Marchand

    University of Hawaiʻi at Mānoa, United States

    2 publications · 47 citations

    2

    h-index

  4. LJ
    Ling Jiang

    Nanjing Agricultural University, China

    2 publications · 203 citations

    2

    h-index

  5. WJ
    Wenzhu Jiang

    Seoul National University, South Korea

    2 publications · 158 citations

    2

    h-index

1–5 of 501

Venues

  1. Theoretical and Applied Genetics

    8 publications · 520 citations

    8

    h-index

  2. Chinese Science Bulletin

    3 publications · 57 citations

    3

    h-index

  3. Genetics

    2 publications · 394 citations

    2

    h-index

  4. PLoS Genetics

    2 publications · 309 citations

    2

    h-index

  5. Nature Communications

    2 publications · 60 citations

    2

    h-index

1–5