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DOI 10.1016/j.gim.2024.101276

Медицинская библиотека · Genetics in medicine : official journal of the American College of Medical Genetics · 2024

Evaluation of Bayesian point-based system on the variant classification of hereditary cancer predisposition genes.

Eldomery Mohammad K, Maciaszek Jamie L, Cain Taylor, Loyola Victor Pastor, Mothi Suraj Sarvode, Wheeler David A, Tang Li, Wang Lu, Klco Jeffery M, Blackburn Patrick R

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

PURPOSE: To assess the differences in variant classifications using the American College of Medical Genetics and Genomics and the Association for Molecular Pathology 2015 guidelines and the Bayesian point-based classification system (here referred to as the point system) in 115 hereditary cancer predisposition genes and explore variant sub-tiering by the point system.

METHODS

Germline variant classifications for 721 pediatric patients from an in-house panel were retrospectively evaluated using the 2 scoring systems.

RESULTS

A total of 2376 unique variants were identified, with ∼23.5% exhibiting discordant classifications. Unique variants classified by the point system demonstrated a lower rate of variants of uncertain significance (VUS; ∼15%) compared with American College of Medical Genetics and Genomics and the Association for Molecular Pathology 2015 guidelines (∼36%). This change is attributed to unique variants with 1 benign supporting evidence (∼12%) or 1 benign strong evidence (∼4%) being classified as likely benign by the point system. Additionally, variants with conflicting/modified evidence (∼5% of 2376) are also resolved by the point system. Sub-tiering unique variants classified by the point system as VUS (n = 354) indicates ∼77.4% were VUS-Low (0-1 points), whereas the remaining ∼22.6% were VUS-Mid (2-3 points) and VUS-High (4-5 points).

CONCLUSION

The point system reduces the VUS rate and facilitates their sub-tiering. Future large-scale studies are warranted to explore the impact of the point system on improving VUS reporting and/or VUS clinical management.

Для цитирования: Eldomery Mohammad K, Maciaszek Jamie L, Cain Taylor, Loyola Victor Pastor, Mothi Suraj Sarvode, Wheeler David A, Tang Li, Wang Lu, Klco Jeffery M, Blackburn Patrick R. Evaluation of Bayesian point-based system on the variant classification of hereditary cancer predisposition genes.. Genetics in medicine : official journal of the American College of Medical Genetics. 2024. DOI: 10.1016/j.gim.2024.101276.

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