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Evidence-Based Assessment of Congenital Heart Disease Genes to Enable Returning Results in a Genomic Study.

Authors :
Griffin EL
Nees SN
Morton SU
Wynn J
Patel N
Jobanputra V
Robinson S
Kochav SM
Tao A
Andrews C
Cross N
Geva J
Lanzilotta K
Ritter A
Taillie E
Thompson A
Meyer C
Akers R
King EC
Cnota JF
Kim RW
Porter GA Jr
Brueckner M
Seidman CE
Shen Y
Gelb BD
Goldmuntz E
Newburger JW
Roberts AE
Chung WK
Source :
Circulation. Genomic and precision medicine [Circ Genom Precis Med] 2023 Apr; Vol. 16 (2), pp. e003791. Date of Electronic Publication: 2023 Feb 21.
Publication Year :
2023

Abstract

Background: Congenital heart disease (CHD) is the most common major congenital anomaly and causes significant morbidity and mortality. Epidemiologic evidence supports a role of genetics in the development of CHD. Genetic diagnoses can inform prognosis and clinical management. However, genetic testing is not standardized among individuals with CHD. We sought to develop a list of validated CHD genes using established methods and to evaluate the process of returning genetic results to research participants in a large genomic study.<br />Methods: Two-hundred ninety-five candidate CHD genes were evaluated using a ClinGen framework. Sequence and copy number variants involving genes in the CHD gene list were analyzed in Pediatric Cardiac Genomics Consortium participants. Pathogenic/likely pathogenic results were confirmed on a new sample in a clinical laboratory improvement amendments-certified laboratory and disclosed to eligible participants. Adult probands and parents of probands who received results were asked to complete a post-disclosure survey.<br />Results: A total of 99 genes had a strong or definitive clinical validity classification. Diagnostic yields for copy number variants and exome sequencing were 1.8% and 3.8%, respectively. Thirty-one probands completed clinical laboratory improvement amendments-confirmation and received results. Participants who completed postdisclosure surveys reported high personal utility and no decision regret after receiving genetic results.<br />Conclusions: The application of ClinGen criteria to CHD candidate genes yielded a list that can be used to interpret clinical genetic testing for CHD. Applying this gene list to one of the largest research cohorts of CHD participants provides a lower bound for the yield of genetic testing in CHD.

Details

Language :
English
ISSN :
2574-8300
Volume :
16
Issue :
2
Database :
MEDLINE
Journal :
Circulation. Genomic and precision medicine
Publication Type :
Academic Journal
Accession number :
36803080
Full Text :
https://doi.org/10.1161/CIRCGEN.122.003791