Distinguishing Hypertrophic Cardiomyopathy-Associated Mutations from Background Genetic Noise
| Autor: | Andrew P. Landstrom, Benjamin A. Salisbury, J. Martijn Bos, Jamie D. Kapplinger, Michael J. Ackerman, Thomas E. Callis |
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| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Sarcomeres Adolescent Pharmaceutical Science Genomics Biology Article Young Adult symbols.namesake Genetic variation Genetics medicine Humans Genetic Testing Genetics (clinical) Exome sequencing Genetic testing Sanger sequencing Polymorphism Genetic medicine.diagnostic_test Sequence Analysis DNA Gold standard (test) Cardiomyopathy Hypertrophic Middle Aged Human genetics Mutation (genetic algorithm) symbols Molecular Medicine Female Cardiology and Cardiovascular Medicine |
| Zdroj: | Journal of Cardiovascular Translational Research. 7:347-361 |
| ISSN: | 1937-5395 1937-5387 |
| DOI: | 10.1007/s12265-014-9542-z |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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