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Quantitative thresholds for variant enrichment in 13,845 cases: improving pathogenicity classification in genetic hearing loss.

Authors :
Liu, Sihan
Zhong, Mingjun
Huang, Yu
Zhang, Qian
Chen, Ting
Xu, Xiaofei
Peng, Wan
Wang, Xiaolu
Feng, Xiaoshu
Kang, Lu
Lu, Yu
Cheng, Jing
Bu, Fengxiao
Yuan, Huijun
Source :
Genome Medicine. 12/18/2023, Vol. 15 Issue 1, p1-14. 14p.
Publication Year :
2023

Abstract

Background: The American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) guidelines recommend using variant enrichment among cases as "strong" evidence for pathogenicity per the PS4 criterion. However, quantitative support for PS4 thresholds from real-world Mendelian case–control cohorts is lacking. Methods: To address this gap, we evaluated and established PS4 thresholds using data from the Chinese Deafness Genetics Consortium. A total of 9,050 variants from 13,845 patients with hearing loss (HL) and 6,570 ancestry-matched controls were analyzed. Positive likelihood ratio and local positive likelihood ratio values were calculated to determine the thresholds corresponding to each strength of evidence across three variant subsets. Results: In subset 1, consisting of variants present in both cases and controls with an allele frequency (AF) in cases ≥ 0.0005, an odds ratio (OR) ≥ 6 achieved strong evidence, while OR ≥ 3 represented moderate evidence. For subset 2, which encompassed variants present in both cases and controls with a case AF < 0.0005, and subset 3, comprising variants found only in cases and absent from controls, we defined the PS4_Supporting threshold (OR > 2.27 or allele count ≥ 3) and the PS4_Moderate threshold (allele count ≥ 6), respectively. Reanalysis applying the adjusted PS4 criteria changed the classification of 15 variants and enabled diagnosis of an additional four patients. Conclusions: Our study quantified evidence strength thresholds for variant enrichment in genetic HL cases, highlighting the importance of defining disease/gene-specific thresholds to improve the precision and accuracy of clinical genetic testing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1756994X
Volume :
15
Issue :
1
Database :
Academic Search Index
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
174298514
Full Text :
https://doi.org/10.1186/s13073-023-01271-7