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J Cardiovasc Transl Res ; 9(1): 3-11, 2016 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-26888179

RESUMO

Inherited cardiac conditions (ICCs) are characterised by marked genetic and allelic heterogeneity and require extensive sequencing for genetic characterisation. We iteratively optimised a targeted gene capture panel for ICCs that includes disease-causing, putatively pathogenic, research and phenocopy genes (n = 174 genes). We achieved high coverage of the target region on both MiSeq (>99.8% at ≥ 20× read depth, n = 12) and NextSeq (>99.9% at ≥ 20×, n = 48) platforms with 100% sensitivity and precision for single nucleotide variants and indels across the protein-coding target on the MiSeq. In the final assay, 40 out of 43 established ICC genes informative in clinical practice achieved complete coverage (100 % at ≥ 20×). By comparison, whole exome sequencing (WES; ∼ 80×), deep WES (∼ 500×) and whole genome sequencing (WGS; ∼ 70×) had poorer performance (88.1, 99.2 and 99.3% respectively at ≥ 20×) across the ICC target. The assay described here delivers highly accurate and affordable sequencing of ICC genes, complemented by accessible cloud-based computation and informatics. See Editorial in this issue (DOI: 10.1007/s12265-015-9667-8 ).


Assuntos
Análise Mutacional de DNA/métodos , Cardiopatias/genética , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Mutação , Polimorfismo de Nucleotídeo Único , Computação em Nuvem , Biologia Computacional , Bases de Dados Genéticas , Exoma , Marcadores Genéticos , Predisposição Genética para Doença , Cardiopatias/diagnóstico , Hereditariedade , Humanos , Londres , Fenótipo , Valor Preditivo dos Testes , Singapura , Fluxo de Trabalho
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