4.7 Article

Re-analysis of whole-exome sequencing data uncovers novel diagnostic variants and improves molecular diagnostic yields for sudden death and idiopathic diseases

期刊

GENOME MEDICINE
卷 11, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13073-019-0702-2

关键词

Whole-exome sequencing; Medical genetics; Molecular autopsy; Rare and undiagnosed diseases; Sudden death; Automated periodic re-analysis

资金

  1. Scripps Genomic Medicine
  2. NIH-NCATS Clinical and Translational Science Award (CTSA) [5 UL1 RR025774]
  3. [U01HG006476]
  4. [U54GM114833]

向作者/读者索取更多资源

Background: Whole-exome sequencing (WES) has become an efficient diagnostic test for patients with likely monogenic conditions such as rare idiopathic diseases or sudden unexplained death. Yet, many cases remain undiagnosed. Here, we report the added diagnostic yield achieved for 101 WES cases re-analyzed 1 to 7 years after initial analysis. Methods: Of the 101 WES cases, 51 were rare idiopathic disease cases and 50 were postmortem molecular autopsy cases of early sudden unexplained death. Variants considered for reporting were prioritized and classified into three groups: (1) diagnostic variants, pathogenic and likely pathogenic variants in genes known to cause the phenotype of interest; (2) possibly diagnostic variants, possibly pathogenic variants in genes known to cause the phenotype of interest or pathogenic variants in genes possibly causing the phenotype of interest; and (3) variants of uncertain diagnostic significance, potentially deleterious variants in genes possibly causing the phenotype of interest. Results: Initial analysis revealed diagnostic variants in 13 rare disease cases (25.4%) and 5 sudden death cases (10%). Re-analysis resulted in the identification of additional diagnostic variants in 3 rare disease cases (5.9%) and 1 sudden unexplained death case (2%), which increased our molecular diagnostic yield to 31.4% and 12%, respectively. Conclusions: The basis of new findings ranged from improvement in variant classification tools, updated genetic databases, and updated clinical phenotypes. Our findings highlight the potential for re-analysis to reveal diagnostic variants in cases that remain undiagnosed after initial WES.

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