生物
疾病
遗传学
候选基因
基因
DNA测序
鉴定(生物学)
计算生物学
表型
因果关系(物理学)
基因组学
基因组
医学
植物
量子力学
物理
病理
作者
Sonia Hills,Qifei Li,Jill A. Madden,Casie A. Genetti,Catherine A. Brownstein,Klaus Schmitz‐Abe,Alan H. Beggs,Pankaj B. Agrawal
摘要
Abstract Advances in bioinformatic tools paired with the ongoing accumulation of genetic knowledge and periodic reanalysis of genomic sequencing data have led to an improvement in genetic diagnostic rates. Candidate gene variants (CGVs) identified during sequencing or on reanalysis but not yet implicated in human disease or associated with a phenotypically distinct condition are often not revisited, leading to missed diagnostic opportunities. Here, we revisited 33 such CGVs from our previously published study and determined that 16 of them are indeed disease‐causing (novel or phenotype expansion) since their identification. These results emphasize the need to focus on previously identified CGVs during sequencing or reanalysis and the importance of sharing that information with researchers around the world, including relevant functional analysis to establish disease causality.
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