Genomic analyses implicate noncoding de novo variants in congenital heart disease

Felix Richter, Sarah U. Morton, Seong Won Kim, Alexander Kitaygorodsky, Lauren K. Wasson, Kathleen M. Chen, Jian Zhou, Hongjian Qi, Nihir Patel, Steven R. DePalma, Michael Parfenov, Jason Homsy, Joshua M. Gorham, Kathryn B. Manheimer, Matthew Velinder, Andrew Farrell, Gabor Marth, Eric E. Schadt, Jonathan R. Kaltman, Jane W. NewburgerAlessandro Giardini, Elizabeth Goldmuntz, Martina Brueckner, Richard Kim, George A. Porter, Daniel Bernstein, Wendy K. Chung, Deepak Srivastava, Martin Tristani-Firouzi, Olga G. Troyanskaya, Diane E. Dickel, Yufeng Shen, Jonathan G. Seidman, Christine E. Seidman, Bruce D. Gelb

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

A genetic etiology is identified for one-third of patients with congenital heart disease (CHD), with 8% of cases attributable to coding de novo variants (DNVs). To assess the contribution of noncoding DNVs to CHD, we compared genome sequences from 749 CHD probands and their parents with those from 1,611 unaffected trios. Neural network prediction of noncoding DNV transcriptional impact identified a burden of DNVs in individuals with CHD (n = 2,238 DNVs) compared to controls (n = 4,177; P = 8.7 × 10−4). Independent analyses of enhancers showed an excess of DNVs in associated genes (27 genes versus 3.7 expected, P = 1 × 10−5). We observed significant overlap between these transcription-based approaches (odds ratio (OR) = 2.5, 95% confidence interval (CI) 1.1–5.0, P = 5.4 × 10−3). CHD DNVs altered transcription levels in 5 of 31 enhancers assayed. Finally, we observed a DNV burden in RNA-binding-protein regulatory sites (OR = 1.13, 95% CI 1.1–1.2, P = 8.8 × 10−5). Our findings demonstrate an enrichment of potentially disruptive regulatory noncoding DNVs in a fraction of CHD at least as high as that observed for damaging coding DNVs.

Original languageEnglish (US)
Pages (from-to)769-777
Number of pages9
JournalNature Genetics
Volume52
Issue number8
DOIs
StatePublished - Aug 1 2020

All Science Journal Classification (ASJC) codes

  • Genetics

Fingerprint Dive into the research topics of 'Genomic analyses implicate noncoding de novo variants in congenital heart disease'. Together they form a unique fingerprint.

Cite this