| Literature DB >> 26385840 |
Chun Wang1, Shan Duan2, Guoli Lv3, Xiaoping Lai4, Rui Chen4, Hanguang Lin4, Shengyuan Qiu4, Jianpin Tang4, Wenjian Kuang4, Chuanchao Xu5.
Abstract
Whole exome sequencing (WES) and bioinformatics analysis were used to investigate potential disease-causing gene mutations in a sudden unexplained death syndrome (SUDS) case after autopsy and pathology tests failed to suggest an obvious disease mechanism. Following whole exome sequencing, a 3-step bioinformatics filtering procedure was carried out to identify possible pathogenic genomic features. Single nucleotide variations (SNVs) were analyzed and ranked by likely mutation impact using various open online tools. After screening, we identified G643S as a putative causative heterozygous mutation in the KCNQ1 gene. This mutation has been reported in abnormalities consistent with SUDS, such as IKs in cardiac myocytes, a condition that predisposes for arrhythmias. Our work demonstrates the application of sequencing technology at the whole exome level for determining potential causes of an otherwise unexplained death.Entities:
Keywords: Disease mutations; Exome; Forensic bioinformatics; Forensic science; Second-generation sequencing; Sudden unexplained death syndrome (SUDS)
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Year: 2015 PMID: 26385840 DOI: 10.1016/j.forsciint.2015.08.022
Source DB: PubMed Journal: Forensic Sci Int ISSN: 0379-0738 Impact factor: 2.395