NOTE:
Before using these data, verify that the CSpec version numbers here
match the latest version on the
ClinGen CSpec registry.
These data are for research purposes only. While the ClinGen data are
open to the public, users seeking information about a personal medical or
genetic condition are urged to consult with a qualified physician for
diagnosis and for answers to personal medical questions.
These tracks are updated periodically. See the
Changelog at the bottom of this page for what changed in each update.
The tracks listed here contain data from the ClinGen ENIGMA BRCA1 and BRCA2
Expert Panel Specifications to the ACMG/AMP Variant Interpretation
Guidelines for BRCA1/BRCA2 Version 1.2. The ENIGMA VCEP has adapted
the ACMG-AMP codes for the BRCA1 and BRCA2 genes. These include the
codes PVS1 (modified PVS1 decision tree), PS3/BS3 (functional data),
PP4/BP5 (multifactorial data), PM5_PTC (PTC data, at exon level),
the (potentially) clinically important functional domains defined by
ENIGMA, and prediction programs (SpliceAI and BayesDel for PP3/BP4).
The data required for the application of these ENIGMA codes are displayed in 5 data tracks:
The most up-to-date VCEP specifications for application of ACMG/AMP criteria for BRCA1 and BRCA2 genes are freely available at the ClinGen Criteria Specification (CSpec) Registry. This registry is intended to provide access to the Criteria Specifications used and applied by ClinGen Variant Curation Expert Panels and biocurators in the classification of variants.
These data were created and adapted from the files referenced above. Some custom scripting was employed in tasks like mapping variants, adding colors and mouseovers, and producing the desired format. The version 1.2 source tables were downloaded from the ClinGen CSpec Registry entries for BRCA1 (GN092) and BRCA2 (GN097), released January 9, 2025.
The multifactorial likelihood analysis scores were recomputed from Parsons et al. 2019 suppl table HUMU-40-1557-s001_Parson_Multicatorial.xlsx, as well as data from Caputo et al 2021, Li et al 2020, and Easton et al 2007. Variants present in both Parsons and Easton were removed from one dataset so as to only be counted once. All likelihood ratios of each matching type (Family LR, Co-occurence LR, segregation LR, pathology LR, and case control LR) were multiplied together and finally those values were then multiplied to create a combined LR score for the variant. Likelihood ratios are shown with five significant figures. All individual scores can be seen in the item description page.
Case-control evidence update (2026). The case-control likelihood ratio component of the PP4/BP5 track was updated in 2026. The earlier case-control LR from Parsons et al. 2019, derived from the iCOGS dataset and available for 20 variants, was replaced by the case-control likelihood ratio (ccLR) from Zanti et al. 2025, a case-control analysis of more than 400,000 women from the BRIDGES, CARRIERS, and UK Biobank studies. The older values were removed rather than kept alongside the new ones because the iCOGS dataset overlaps the cohorts analyzed by Zanti et al., and keeping both would count much of the same evidence twice. The other evidence types (family history, co-occurrence, segregation, and pathology) are unchanged, and the ccLR is multiplied in as the case-control term of the combined LR.
Case-control LRs from too few carriers (2026). Zanti et al. 2025 report a ccLR for every variant they analyzed, but label some of them "No evidence*" in their suggested evidence column. These are variants seen in fewer than three individuals across the combined dataset or, for BRCA2, with data from only one dataset (Supplementary Data 4, footnote h). Following guidance from the ENIGMA VCEP, these ccLRs are treated as not informative: they are still shown on the item's detail page, but they are not multiplied into the combined LR. A variant whose only evidence is such a ccLR has no combined LR and is shown in grey.
Interpreting the combined LR. The combined LR is a product of separate evidence types, and these can disagree. For some variants the case-control evidence from Zanti et al. 2025 points in the opposite direction from the earlier multifactorial evidence, and the combined score shows only the net result of multiplying them together. A variant with conflicting evidence can therefore have a combined LR that is weaker than, or opposite in direction to, one of its individual components. The per-source likelihood ratios are shown on each item's detail page, and we recommend reviewing them alongside the combined value, especially when they disagree. Also note that the evidence types may not be fully independent for all variants: some family history and co-occurrence values in Parsons et al. 2019 trace back to Easton et al. 2007, which is also included as its own source. Variants present in both were removed from one dataset so each is counted only once, but some residual overlap may remain.
Variant names and positions (2026). The source studies sometimes write the same variant in different ways, for example c.4574_4575del and c.4574_4575delAA, or a duplication written as an insertion. Variants are matched by the change they make to the genome sequence rather than by name, so each variant appears once and the likelihood ratios from all of its sources are multiplied together. Names follow current HGVS style: deleted or duplicated bases are not written out, and an insertion that copies the neighboring sequence is written as a duplication. Variant positions follow the same convention as the ClinVar track: a substitution covers its base, a deletion covers the deleted bases, a delins covers the replaced bases, and an insertion or duplication covers the two bases on either side of the insertion point. When a deletion or insertion falls in a repeat and could be placed at several positions, it is shown at the leftmost one.
For the complete details on the data processing see the makedoc on GitHub.
Thank you to Luis Nassar from the Genome Browser team, Anna Benet-Pagès, Melissa Cline, Andreas Laner, Finja Hennig, Johanna Hadler, and Michael Parsons for technical coordination and consultation, and to the ENIGMA consortia for making these data available.
Enigma Guidelines: https://clinicalgenome.org/affiliation/50087/
Enigma Consortium: https://enigmaconsortium.org/
Parsons MT, Tudini E, Li H, Hahnen E, Wappenschmidt B, Feliubadaló L, Aalfs CM, Agata S, Aittomäki K, Alducci E et al. Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification. Hum Mutat. 2019 Sep;40(9):1557-1578. PMID: 31131967; PMC: PMC6772163
Caputo SM, Golmard L, Léone M, Damiola F, Guillaud-Bataille M, Revillion F, Rouleau E, Derive N, Buisson A, Basset N et al. Classification of 101 BRCA1 and BRCA2 variants of uncertain significance by cosegregation study: A powerful approach. Am J Hum Genet. 2021 Oct 7;108(10):1907-1923. PMID: 34597585; PMC: PMC8546044
Easton DF, Deffenbaugh AM, Pruss D, Frye C, Wenstrup RJ, Allen-Brady K, Tavtigian SV, Monteiro AN, Iversen ES, Couch FJ et al. A systematic genetic assessment of 1,433 sequence variants of unknown clinical significance in the BRCA1 and BRCA2 breast cancer-predisposition genes. Am J Hum Genet. 2007 Nov;81(5):873-83. PMID: 17924331; PMC: PMC2265654
Zanti M, O'Mahony DG, Parsons MT, Dorling L, Dennis J, Boddicker NJ et al. Analysis of more than 400,000 women provides case-control evidence for BRCA1 and BRCA2 variant classification. Nat Commun. 2025 May 25;16(1):4852. PMID: 40413188; PMC: PMC12103537
Li H, LaDuca H, Pesaran T, Chao EC, Dolinsky JS, Parsons M, Spurdle AB, Polley EC, Shimelis H, Hart SN et al. Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort. Genet Med. 2020 Apr;22(4):701-708. PMID: 31853058; PMC: PMC7118020