Causal Variant Prioritization

Causal Variant Prioritization is a computational method that identifies and ranks genetic variants most likely to be responsible for observed phenotypic effects by integrating genomic data with functional annotations and statistical evidence of association.

164

Publications

22K

Citations

2.1K

Authors

807

Institutions

Publications per year

2017–2026

104

Authors

2.1K

  1. KA
    Kristin Ardlie

    Broad Institute, United States

    6 publications · 1K citations

    6

    h-index

  2. FA
    François Aguet

    Broad Institute, United States

    6 publications · 1K citations

    6

    h-index

  3. MK
    Masahiro Kanai

    Broad Institute, United States

    5 publications · 686 citations

    5

    h-index

  4. HK
    Hilary K. Finucane

    Harvard University, United States

    5 publications · 684 citations

    5

    h-index

  5. JC
    Jacob C. Ulirsch

    Broad Institute, United States

    4 publications · 615 citations

    4

    h-index

1–5 of 2.1K

Venues

  1. Nature Communications

    12 publications · 5.8K citations

    12

    h-index

  2. Bioinformatics

    12 publications · 1.8K citations

    12

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 10 publications · 323 citations

    9

    h-index

  4. Nucleic Acids Research

    8 publications · 5.4K citations

    8

    h-index

  5. Human Mutation

    8 publications · 417 citations

    8

    h-index

1–5