Literature DB >> 32030882

Genetic screening for hypertrophic cardiomyopathy in large, asymptomatic military cohorts.

Joe Brough1,2, Mahim Jain3, Teodoro Jerves1, Paul Kruszka1, Elizabeth McGuffey4.   

Abstract

Sudden cardiac death (SCD) is one of the leading causes of mortality in the U.S. military and competitive athletes. In this study, we simulate how genetic screening may be implemented in the military to prevent an SCD endpoint resulting from hypertrophic cardiomyopathy (HCM). We created a logistic regression model to predict variant pathogenicity in the most common HCM associated genes MYH7 and MYBPC3. Model predictions were used in conjunction with the gnomAD database to identify frequencies of pathogenic variants. Extrapolating these variants to a military population, lives saved and cost benefit analyses were conducted for screening for HCM related to pathogenic variants in MYH7 and MYBPC3. Genetic screening for HCM followed by echocardiography in individuals with pathogenic variants is predicted to save an average of 2.9 lives per accession cohort, based on historical cohort sizes, and result in a break-even cost of ~$7 per test. The false positives, defined as disqualified individuals for military service who do not have HCM, are predicted to be 0 individuals per accession cohort. This study suggests that the main barriers for the implementation of genetic screening for the U.S. military are the low detection rate and variant interpretation.
© 2020 The Authors. American Journal of Medical Genetics Part C: Seminars in Medical Genetics published by Wiley Periodicals, Inc.

Entities:  

Keywords:  genetic screening; hypertrophic cardiomyopathy; population genetics; variant classification

Year:  2020        PMID: 32030882     DOI: 10.1002/ajmg.c.31772

Source DB:  PubMed          Journal:  Am J Med Genet C Semin Med Genet        ISSN: 1552-4868            Impact factor:   3.908


  1 in total

1.  MicroRNA expression profiles in familial hypertrophic cardiomyopathy with myosin-binding protein C3 (MYBPC3) gene mutations.

Authors:  Li-Rong Lin; Xue-Qun Hu; Li-Hong Lu; Jia-Zhen Dai; Ning-Ning Lin; Re-Hua Wang; Zhang-Xin Xie; Xue-Mei Chen
Journal:  BMC Cardiovasc Disord       Date:  2022-06-18       Impact factor: 2.174

  1 in total

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