Genome-Wide Association Studies and Meta-Analyses for Congenital Heart Defects.

TitleGenome-Wide Association Studies and Meta-Analyses for Congenital Heart Defects.
Publication TypeJournal Article
Year of Publication2017
AuthorsAgopian, AJ, Goldmuntz, E, Hakonarson, H, Sewda, A, Taylor, D, Mitchell, LE
Corporate AuthorsPediatric Cardiac Genomics Consortium*
JournalCirc Cardiovasc Genet
Volume10
Issue3
Paginatione001449
Date Published2017 Jun
ISSN1942-3268
KeywordsCohort Studies, Databases, Factual, Female, Gene Frequency, Genome-Wide Association Study, Genotype, Heart Defects, Congenital, Humans, Introns, Male, Membrane Proteins, Polymorphism, Single Nucleotide
Abstract

BACKGROUND: Maternal and inherited (ie, case) genetic factors likely contribute to the pathogenesis of congenital heart defects, but it is unclear whether individual common variants confer a large risk.

METHODS AND RESULTS: To evaluate the relationship between individual common maternal/inherited genotypes and risk for heart defects, we conducted genome-wide association studies in 5 cohorts. Three cohorts were recruited at the Children's Hospital of Philadelphia: 670 conotruncal heart defect (CTD) case-parent trios, 317 left ventricular obstructive tract defect (LVOTD) case-parent trios, and 406 CTD cases (n=406) and 2976 pediatric controls. Two cohorts were recruited through the Pediatric Cardiac Genomics Consortium: 355 CTD trios and 192 LVOTD trios. We also conducted meta-analyses using the genome-wide association study results from the CTD cohorts, the LVOTD cohorts, and from the combined CTD and LVOTD cohorts. In the individual genome-wide association studies, several genome-wide significant associations (≤5×10) were observed. In our meta-analyses, 1 genome-wide significant association was detected: the case genotype for rs72820264, an intragenetic single-nucleotide polymorphism associated with LVOTDs (=2.1×10).

CONCLUSIONS: We identified 1 novel candidate region associated with LVOTDs and report on several additional regions with suggestive evidence for association with CTD and LVOTD. These studies were constrained by the relatively small samples sizes and thus have limited power to detect small to moderate associations. Approaches that minimize the multiple testing burden (eg, gene or pathway based) may, therefore, be required to uncover common variants contributing to the risk of these relatively rare conditions.

DOI10.1161/CIRCGENETICS.116.001449
Alternate JournalCirc Cardiovasc Genet
PubMed ID28468790
PubMed Central IDPMC5539991
Grant ListU01 HL098163 / HL / NHLBI NIH HHS / United States
UM1 HL098123 / HL / NHLBI NIH HHS / United States
U01 HL098188 / HL / NHLBI NIH HHS / United States
R01 HL076773 / HL / NHLBI NIH HHS / United States
U01 HL098162 / HL / NHLBI NIH HHS / United States
U01 HL098153 / HL / NHLBI NIH HHS / United States
U01 HL131003 / HL / NHLBI NIH HHS / United States
U54 HG006504 / HG / NHGRI NIH HHS / United States
UL1 TR000003 / TR / NCATS NIH HHS / United States
F30 HL123238 / HL / NHLBI NIH HHS / United States
R21 HL098844 / HL / NHLBI NIH HHS / United States
R01 HL074094 / HL / NHLBI NIH HHS / United States
U01 HL098123 / HL / NHLBI NIH HHS / United States
P50 HL074731 / HL / NHLBI NIH HHS / United States
UM1 HL098147 / HL / NHLBI NIH HHS / United States
U01 HL098166 / HL / NHLBI NIH HHS / United States
M01 RR000240 / RR / NCRR NIH HHS / United States
P01 HD070454 / HD / NICHD NIH HHS / United States
U01 HL098147 / HL / NHLBI NIH HHS / United States
UL1 RR024134 / RR / NCRR NIH HHS / United States