@article {445, title = {The Congenital Heart Disease Genetic Network Study: Cohort description.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0191319}, abstract = {

The Pediatric Cardiac Genomics Consortium (PCGC) designed the Congenital Heart Disease Genetic Network Study to provide phenotype and genotype data for a large congenital heart defects (CHDs) cohort. This article describes the PCGC cohort, overall and by major types of CHDs (e.g., conotruncal defects) and subtypes of conotrucal heart defects (e.g., tetralogy of Fallot) and left ventricular outflow tract obstructions (e.g., hypoplastic left heart syndrome). Cases with CHDs were recruited through ten sites, 2010-2014. Information on cases (N = 9,727) and their parents was collected through interviews and medical record abstraction. Four case characteristics, eleven parental characteristics, and thirteen parent-reported neurodevelopment outcomes were summarized using counts and frequencies and compared across CHD types and subtypes. Eleven percent of cases had a genetic diagnosis. Among cases without a genetic diagnosis, the majority had conotruncal heart defects (40\%) or left ventricular outflow tract obstruction (21\%). Across CHD types, there were significant differences (p<0.05) in the distribution of all four case characteristics (e.g., sex), four parental characteristics (e.g., maternal pregestational diabetes), and five neurodevelopmental outcomes (e.g., learning disabilities). Several characteristics (e.g., sex) were also significantly different across CHD subtypes. The PCGC cohort is one of the largest CHD cohorts available for the study of genetic determinants of risk and outcomes. The majority of cases do not have a genetic diagnosis. This description of the PCGC cohort, including differences across CHD types and subtypes, provides a reference work for investigators who are interested in collaborating with or using publically available resources from the PCGC.

}, keywords = {Adult, Cohort Studies, Female, Gene Regulatory Networks, Heart Defects, Congenital, Humans, Male, Phenotype}, issn = {1932-6203}, doi = {10.1371/journal.pone.0191319}, author = {Hoang, Thanh T and Goldmuntz, Elizabeth and Roberts, Amy E and Chung, Wendy K and Kline, Jennie K and Deanfield, John E and Giardini, Alessandro and Aleman, Adolfo and Gelb, Bruce D and Mac Neal, Meghan and Porter, George A and Kim, Richard and Brueckner, Martina and Lifton, Richard P and Edman, Sharon and Woyciechowski, Stacy and Mitchell, Laura E and Agopian, A J} } @article {398, title = {Genome-Wide Association Studies and Meta-Analyses for Congenital Heart Defects.}, journal = {Circ Cardiovasc Genet}, volume = {10}, year = {2017}, month = {2017 Jun}, pages = {e001449}, 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{\textquoteright}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{\texttimes}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{\texttimes}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.

}, keywords = {Cohort Studies, Databases, Factual, Female, Gene Frequency, Genome-Wide Association Study, Genotype, Heart Defects, Congenital, Humans, Introns, Male, Membrane Proteins, Polymorphism, Single Nucleotide}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001449}, author = {Agopian, A J and Goldmuntz, Elizabeth and Hakonarson, Hakon and Sewda, Anshuman and Taylor, Deanne and Mitchell, Laura E} }