Cardiac Structural and Sarcomere Genes Associated With Cardiomyopathy Exhibit Marked Intolerance of Genetic Variation

被引:53
|
作者
Pan, Stephen [2 ]
Caleshu, Colleen A.
Dunn, Kyla E.
Foti, Marcia J.
Moran, Maura K.
Soyinka, Oretunlewa
Ashley, Euan A. [1 ]
机构
[1] Stanford Hosp & Clin, Stanford Ctr Inherited Cardiovasc Dis, Falk Cardiovasc Res Ctr, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Biomed Informat Training Program, Stanford, CA 94305 USA
基金
美国国家卫生研究院;
关键词
cardiomyopathy; genetic heart disease; genetic variation; genetic testing; genomics; HYPERTROPHIC CARDIOMYOPATHY; ECHOCARDIOGRAPHIC ANALYSIS; DILATED CARDIOMYOPATHY; RARE VARIANTS; DISEASE; PREVALENCE; MUTATIONS; GENOME; POPULATION; DIAGNOSIS;
D O I
10.1161/CIRCGENETICS.112.963421
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background-The clinical significance of variants in genes associated with inherited cardiomyopathies can be difficult to determine because of uncertainty regarding population genetic variation and a surprising amount of tolerance of the genome even to loss-of-function variants. We hypothesized that genes associated with cardiomyopathy might be particularly resistant to the accumulation of genetic variation. Methods and Results-We analyzed the rates of single nucleotide genetic variation in all known genes from the exomes of >5000 individuals from the National Heart, Lung, and Blood Institute's Exome Sequencing Project, as well as the rates of structural variation from the Database of Genomic Variants. Most variants were rare, with over half unique to 1 individual. Cardiomyopathy-associated genes exhibited a rate of nonsense variants, about 96.1% lower than other Mendelian disease genes. We tested the ability of in silico algorithms to distinguish between a set of variants in MYBPC3, MYH7, and TNNT2 with strong evidence for pathogenicity and variants from the Exome Sequencing Project data. Algorithms based on conservation at the nucleotide level (genomic evolutionary rate profiling, PhastCons) did not perform as well as amino acid-level prediction algorithms (Polyphen-2, SIFT). Variants with strong evidence for disease causality were found in the Exome Sequencing Project data at prevalence higher than expected. Conclusions-Genes associated with cardiomyopathy carry very low rates of population variation. The existence in population data of variants with strong evidence for pathogenicity suggests that even for Mendelian disease genetics, a probabilistic weighting of multiple variants may be preferred over the single gene causality model. (Circ Cardiovasc Genet. 2012;5:602-610.)
引用
收藏
页码:602 / 610
页数:9
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