bioRxivGenomicsPreprint
High Frequency Actionable Pathogenic Exome Mutations in an Average-Risk Cohort
Shannon M. RegoiD, Orit Dagan‐Rosenfeld, Wenyu ZhouiD, M. Reza SailaniiD, Patricia Limcaoco, Elizabeth Colbert, Monika Avina, Jessica Wheeler, Colleen M. CraigiD, Denis N. SalinsiD, Hannes Luc RöstiD, Jessilyn DunniD, Tracey McLaughliniD, Lars Michael SteinmetziD, Jonathan Adam BernsteiniD, Michael P. SnyderiD
Abstract
Whole exome sequencing (WES) is increasingly utilized in both clinical and non-clinical settings, but little is known about the utility of WES in healthy individuals. In order to determine the frequency of both medically actionable and non-actionable but medically relevant exome findings in the general population we assessed the exomes of 70 participants who have been extensively characterized over the past several years as part of a longitudinal integrated multi-omics profiling study at Stanford University. We assessed exomes for rare likely pathogenic and pathogenic variants in genes associated with Mendelian disease in the Online Mendelian Inheritance in Man (OMIM) database. We used American College of Medical Genetics (ACMG) guidelines were used for the classification of rare sequence variants, and additionally we assessed pharmacogenetic variants. Twelve out of 70 (17%) participants had medically actionable findings in Mendelian disease genes, including 6 (9%) with mutations in genes not currently included in the ACMGs list of 59 actionable genes. This number is higher than that reported in previous studies and suggests added benefit from utilizing expanded gene lists and manual curation to assess actionable findings. A total of 60 participants (89%) had non-actionable findings identified including 57 who were found to be mutation carriers for recessive diseases and 21 who have increased Alzheimers disease risk due to heterozyg ous or homozygous APOE e4 alleles (18 participants had both). These results suggest that exome sequencing may have considerably more utility for health management in the general population than previously thought.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 5
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