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

  • 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

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

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.

Original languageEnglish
Pages (from-to)E003791
JournalCirculation: Genomic and Precision Medicine
Volume16
Issue number2
DOIs
StatePublished - 1 Apr 2023

Keywords

  • ClinGen
  • congenital heart disease
  • gene curation

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