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

Authors :
Sihan Liu
Mingjun Zhong
Yu Huang
Qian Zhang
Ting Chen
Xiaofei Xu
Wan Peng
Xiaolu Wang
Xiaoshu Feng
Lu Kang
Yu Lu
Jing Cheng
Fengxiao Bu
Huijun Yuan
Source :
Genome Medicine, Vol 15, Iss 1, Pp 1-14 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

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 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.

Details

Language :
English
ISSN :
1756994X
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.1251227894591acb952b830dfdbce
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-023-01271-7