Benign Variant Interpretation

Benign Variant Interpretation is a formal assessment framework within germline variant interpretation that classifies a genetic variant as unlikely to cause disease based on evidence from population frequency, functional studies, computational predictions, and inheritance patterns.

26

Publications

2.5K

Citations

195

Authors

102

Institutions

Publications per year

2017–2026

16

Authors

195

  1. SE
    Sharon E. Plon

    Baylor College of Medicine, United States

    3 publications · 376 citations

    3

    h-index

  2. TP
    Tina Pesaran

    Ambry Genetics (United States), United States

    3 publications · 1.1K citations

    3

    h-index

  3. AB
    Amanda B. Spurdle

    QIMR Berghofer Medical Research Institute, Australia

    3 publications · 77 citations

    3

    h-index

  4. LZ
    Liying Zhang

    Memorial Sloan Kettering Cancer Center, United States

    2 publications · 195 citations

    2

    h-index

  5. LG
    Leslie G. Biesecker

    National Human Genome Research Institute, United States

    2 publications · 1.1K citations

    2

    h-index

1–5 of 195

Venues

  1. Human Mutation

    5 publications · 1.3K citations

    5

    h-index

  2. American Journal of Medical Genetics

    2 publications · 85 citations

    2

    h-index

  3. Human Molecular Genetics

    1 publications · 141 citations

    1

    h-index

  4. Circulation Research

    1 publications · 38 citations

    1

    h-index

  5. Journal of Proteome Research

    JPR · 1 publications · 12 citations

    1

    h-index

1–5