O54: Comprehensive database of variants in ACMG secondary findings genes from AI-based systematic evidence curation and expert variant classification
ACMG has published recommendations for reporting pathogenic variants in 81 secondary findings (SF) genes that are clinically significant and often encountered in routine diagnostic workflows. Evidence necessary for accurate SF variant classification or reclassification is distributed throughout scientific publications. Moreover, citing information is frequently absent from publicly available variant databases like ClinVar. Accessing these data requires extensive and time-consuming literature reviews by variant analysts, delimiting rapid and reproducible analysis.
Authors
- Amina Kurtović-Kozarić (ORCID: https://orcid.org/0000-0002-6063-7260)
- Anna K. McGill
- Maida Ljubijankic
- Elizabeth Wiley (ORCID: https://orcid.org/0000-0001-8832-3987)
- Zach Young
- Amar Mujkic (ORCID: https://orcid.org/0009-0005-2265-9708)
- Kathryn Curry
- Jane Beckwell
- Jeffrey Bissonnette (ORCID: https://orcid.org/0000-0002-6778-2313)
- Mark J. Kiel (ORCID: https://orcid.org/0000-0003-0931-1983)
- Mirela Tica-Spahic
- B. Mathias
- Eric Siciliano
- Haris Kajtazovic
- Melida Mahinic
- Rasema Bihorac Hrelja
- Ana Gutalj
Publication Details
- Journal
- Genetics in Medicine Open
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.gimo.2025.102481
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00