Imputation-based Fine Mapping

Imputation-Based Fine Mapping is a statistical genetics method that leverages genotype imputation to refine the localization of causal variants within a region of interest by integrating imputed genotypes with association data to distinguish true risk variants from correlated non-causal variants.

39

Publications

5K

Citations

691

Authors

354

Institutions

Publications per year

2017–2026

23

Authors

691

  1. JI
    Jerome I. Rotter

    Harbor–UCLA Medical Center, United States

    4 publications · 2K citations

    4

    h-index

  2. GC
    Graham Casey

    University of Southern California, United States

    4 publications · 159 citations

    4

    h-index

  3. CA
    Christopher A. Haiman

    University of Southern California, United States

    4 publications · 159 citations

    4

    h-index

  4. PK
    Peter K. Gregersen

    Feinstein Institute for Medical Research, United States

    4 publications · 400 citations

    4

    h-index

  5. YO
    Yukinori Okada

    The University of Osaka, Japan

    4 publications · 541 citations

    4

    h-index

1–5 of 691

Venues

  1. Nature Genetics

    6 publications · 3K citations

    6

    h-index

  2. Human Molecular Genetics

    4 publications · 273 citations

    4

    h-index

  3. Annals of Human Genetics

    3 publications · 170 citations

    3

    h-index

  4. medRxiv

    Repository · 3 publications · 54 citations

    3

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 93 citations

    2

    h-index

1–5