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Identification of clinically actionable variants from genome sequencing of families with congenital heart disease

Authors :
Gavin Chapman
Michael Troup
Joshua W. K. Ho
Gillian M. Blue
Annabelle Enriquez
Eleni Giannoulatou
Meredith Wilson
Edwin P. Kirk
Jacob E Munro
Eddie Ip
David T. Humphreys
Gary F. Sholler
Robert M. Graham
Nicholas Pachter
David S. Winlaw
Sally L. Dunwoodie
Katrina Harrison
Hartmut Cuny
Dimuthu Alankarage
Justin O. Szot
Richard P. Harvey
Source :
Genetics in Medicine. 21:1111-1120
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Congenital heart disease (CHD) affects up to 1% of live births. However, a genetic diagnosis is not made in most cases. The purpose of this study was to assess the outcomes of genome sequencing (GS) of a heterogeneous cohort of CHD patients. Ninety-seven families with probands born with CHD requiring surgical correction were recruited for genome sequencing. At minimum, a proband–parents trio was sequenced per family. GS data were analyzed via a two-tiered method: application of a high-confidence gene screen (hcCHD), and comprehensive analysis. Identified variants were assessed for pathogenicity using the American College of Medical Genetics and Genomics–Association for Molecular Pathology (ACMG-AMP) guidelines. Clinically relevant genetic variants in known and emerging CHD genes were identified. The hcCHD screen identified a clinically actionable variant in 22% of families. Subsequent comprehensive analysis identified a clinically actionable variant in an additional 9% of families in genes with recent disease associations. Overall, this two-tiered approach provided a clinically relevant variant for 31% of families. Interrogating GS data using our two-tiered method allowed identification of variants with high clinical utility in a third of our heterogeneous cohort. However, association of emerging genes with CHD etiology, and development of novel technologies for variant assessment and interpretation, will increase diagnostic yield during future reassessment of our GS data.

Details

ISSN :
10983600
Volume :
21
Database :
OpenAIRE
Journal :
Genetics in Medicine
Accession number :
edsair.doi...........dbd57ce9ae84d41e9fd8fad8e71c5d83
Full Text :
https://doi.org/10.1038/s41436-018-0296-x