4.7 Article

Identifying genetic factors that contribute to the increased risk of congenital heart defects in infants with Down syndrome

Journal

SCIENTIFIC REPORTS
Volume 10, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-020-74650-4

Keywords

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Funding

  1. National Institutes of Health from NIH/National Heart, Lung, and Blood Institute [R01 HL092981-01A1, R01 HL083300]
  2. NIH/National Institute of Child Health and Human Development [R01 HD38979]
  3. NIH/National Institute of General Medical Sciences [GM117946]
  4. University of Washington, Department of Genome Sciences under U.S. Federal Government [HHSN268201100037C]
  5. Emory Integrated Genomics Core (EIGC)
  6. Emory Integrated Computational Core (EICC)
  7. Emory University School of Medicine
  8. Georgia Clinical & Translational Science Alliance - National Center for Advancing Translational Sciences of the National Institutes of Health [UL1TR002378]
  9. American Heart Association Western States Affiliate [16PRE30190012]
  10. PCGC
  11. National Heart, Lung, and Blood Institute's Bench to Bassinet Program
  12. National Heart, Lung, and Blood Institute [U01-HL098188, U01-HL098147, U01-HL098153, U01-HL098163, U01-HL098123, U01-HL098162, P50-HL74731]
  13. Children's Hospital of Philadelphia
  14. National Center for Advancing Translational Sciences [M01-RR-000240, RR024134, UL1TR000003]
  15. British Heart Foundation
  16. Heart Research UK
  17. Wellcome Trust
  18. European Union
  19. British Heart Foundation Personal Chair

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Atrioventricular septal defects (AVSD) are a severe congenital heart defect present in individuals with Down syndrome (DS) at a > 2000-fold increased prevalence compared to the general population. This study aimed to identify risk-associated genes and pathways and to examine a potential polygenic contribution to AVSD in DS. We analyzed a total cohort of 702 individuals with DS with or without AVSD, with genomic data from whole exome sequencing, whole genome sequencing, and/or array-based imputation. We utilized sequence kernel association testing and polygenic risk score (PRS) methods to examine rare and common variants. Our findings suggest that the Notch pathway, particularly NOTCH4, as well as genes involved in the ciliome including CEP290 may play a role in AVSD in DS. These pathways have also been implicated in DS-associated AVSD in prior studies. A polygenic component for AVSD in DS has not been examined previously. Using weights based on the largest genome-wide association study of congenital heart defects available (2594 cases and 5159 controls; all general population samples), we found PRS to be associated with AVSD with odds ratios ranging from 1.2 to 1.3 per standard deviation increase in PRS and corresponding liability r(2) values of approximately 1%, suggesting at least a small polygenic contribution to DS-associated AVSD. Future studies with larger sample sizes will improve identification and quantification of genetic contributions to AVSD in DS.

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