Distinguishing hypertrophic cardiomyopathy-associated mutations from background genetic noise.
Journal Article (Journal Article)
Despite the significant progress that has been made in identifying disease-associated mutations, the utility of the hypertrophic cardiomyopathy (HCM) genetic test is limited by a lack of understanding of the background genetic variation inherent to these sarcomeric genes in seemingly healthy subjects. This study represents the first comprehensive analysis of genetic variation in 427 ostensibly healthy individuals for the HCM genetic test using the "gold standard" Sanger sequencing method validating the background rate identified in the publically available exomes. While mutations are clearly overrepresented in disease, a background rate as high as ∼5 % among healthy individuals prevents diagnostic certainty. To this end, we have identified a number of estimated predictive value-based associations including gene-specific, topology, and conservation methods generating an algorithm aiding in the probabilistic interpretation of an HCM genetic test.
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Duke Authors
Cited Authors
- Kapplinger, JD; Landstrom, AP; Bos, JM; Salisbury, BA; Callis, TE; Ackerman, MJ
Published Date
- April 2014
Published In
Volume / Issue
- 7 / 3
Start / End Page
- 347 - 361
PubMed ID
- 24510615
Pubmed Central ID
- PMC4849132
Electronic International Standard Serial Number (EISSN)
- 1937-5395
Digital Object Identifier (DOI)
- 10.1007/s12265-014-9542-z
Language
- eng
Conference Location
- United States