Functional Annotation Integration

Functional Annotation Integration is a statistical genetics methodology that incorporates external functional genomic annotation data into association and fine-mapping analyses of genetic variants, typically by using annotations to inform model priors, variant weights, or multiple-testing corrections, in order to increase power and precision in identifying causal loci.

82

Publications

9.7K

Citations

1.3K

Authors

496

Institutions

Publications per year

2017–2026

31

Authors

1.3K

  1. XZ
    Xiang Zhou

    University of Michigan, United States

    4 publications · 428 citations

    4

    h-index

  2. PK
    Peter Kraft

    Harvard University, United States

    3 publications · 771 citations

    3

    h-index

  3. GR
    Gonçalo R. Abecasis

    University of Michigan, United States

    5 publications · 952 citations

    3

    h-index

  4. FA
    Fátima Al‐Shahrour

    Spanish National Cancer Research Centre, Spain

    2 publications · 516 citations

    2

    h-index

  5. EE
    Eleazar Eskin

    University of California, Los Angeles, United States

    2 publications · 758 citations

    2

    h-index

1–5 of 1.3K

Venues

  1. Nucleic Acids Research

    12 publications · 3.5K citations

    12

    h-index

  2. Bioinformatics

    9 publications · 394 citations

    9

    h-index

  3. PLoS Genetics

    7 publications · 1.1K citations

    7

    h-index

  4. BMC Bioinformatics

    7 publications · 352 citations

    7

    h-index

  5. Nature Genetics

    4 publications · 872 citations

    4

    h-index

1–5