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

Authors :
Emily L. Griffin
Shannon N. Nees
Sarah U. Morton
Julia Wynn
Nihir Patel
Vaidehi Jobanputra
Scott Robinson
Stephanie M. Kochav
Alice Tao
Carli Andrews
Nancy Cross
Judith Geva
Kristen Lanzilotta
Alyssa Ritter
Eileen Taillie
Alexandra Thompson
Chris Meyer
Rachel Akers
Eileen C. King
James F Cnota
Richard W. Kim
George A. Porter
Martina Brueckner
Christine E. Seidman
Yufeng Shen
Bruce D. Gelb
Elizabeth Goldmuntz
Jane W. Newburger
Amy E. Roberts
Wendy K. Chung
Publication Year :
2023
Publisher :
Columbia University, 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. 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. 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. 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.

Subjects

Subjects :
General Medicine

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....36bc045da5c349f187341c0dc1c81070
Full Text :
https://doi.org/10.7916/kzva-aa54