Conotruncal defects (CTDs) comprise 36% of all congenital heart defects and carry significant morbidity. Although their etiology is poorly defined, data suggest that complex genetic mechanisms contribute to their etiology. This Program will define the genetic basis of CTDs. Molecular evaluation of genetic syndromes with CTDs have provided valuable insight into their genetic basis. In particular, studies on the 22q11.2 deletion syndrome defined a large CTD population, identified genes (e.g. TBX1) and developmental pathways contributing to cardiac development and disease. To continue this work, Project 1 will identify genetic modifiers of CTDs in an exceptional, large 22q11.2 deleted patient cohort using genome wide approaches. In Project 2, genome wide studies in a unique, large non-syndromic patient CTD cohort will be completed to identify both case (inherited) and maternal genetic effects. Discoveries made in one patient cohort will be examined for significance in the other. Mouse models based on 22q11 DS will be used to elucidate developmental pathways critical to conotruncal morphogenesis. Genes and developmental pathways described in the mouse models will be examined for disease associated genetic variants in each of the two patient cohorts, and discoveries in Projects 1 and 2 will in turn be examined in the mouse for expression pattern and placement in key developmental pathways. Candidate genes from these studies will be subject to deep sequencing to identify the full range of disease related genetic variants. The proposed studies are highly interactive, leverage unique patient cohorts and mouse models, build upon long standing collaborations, and test the hypotheses that: (1) the 22q11.2 deleted cohort will serve to unmask genetic risk factors for the characteristic cardiac defects, (2) these risk factors apply to the non-syndromic cardiac cohort, and (3) critical developmental pathways can be elucidated in the mouse whose gene members are disease- related in humans. These studies wilt greatly expand our understanding of the genetic basis of CTDs, and will promote the development of novel therapeutic and preventive strategies.

Public Health Relevance

The goal of this project is to understand the genetic causes of congenital heart defects. Project 1 is to find genetic modifiers of heart defects in 22q11 DS. Project 2 is to find genetic risk factors for non-syndromic conotruncal heart defects and Project 3 will use mouse models to help determine which of the candidates identified in Projects 1 and 2 function in cardiac development.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Program Projects (P01)
Project #
5P01HD070454-02
Application #
8336919
Study Section
Special Emphasis Panel (ZHD1-DSR-Y (50))
Program Officer
Javois, Lorette Claire
Project Start
2011-09-24
Project End
2016-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
2
Fiscal Year
2012
Total Cost
$1,324,263
Indirect Cost
$266,557
Name
Albert Einstein College of Medicine
Department
Genetics
Type
Schools of Medicine
DUNS #
110521739
City
Bronx
State
NY
Country
United States
Zip Code
10461
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Zhao, Yingjie; Guo, Tingwei; Fiksinski, Ania et al. (2018) Variance of IQ is partially dependent on deletion type among 1,427 22q11.2 deletion syndrome subjects. Am J Med Genet A 176:2172-2181
Morrow, Bernice E; McDonald-McGinn, Donna M; Emanuel, Beverly S et al. (2018) Molecular genetics of 22q11.2 deletion syndrome. Am J Med Genet A 176:2070-2081
Guo, Tingwei; Diacou, Alexander; Nomaru, Hiroko et al. (2018) Deletion size analysis of 1680 22q11.2DS subjects identifies a new recombination hotspot on chromosome 22q11.2. Hum Mol Genet 27:1150-1163
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Hasten, Erica; McDonald-McGinn, Donna M; Crowley, Terrence B et al. (2018) Dysregulation of TBX1 dosage in the anterior heart field results in congenital heart disease resembling the 22q11.2 duplication syndrome. Hum Mol Genet 27:1847-1857
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Agopian, A J; Goldmuntz, Elizabeth; Hakonarson, Hakon et al. (2017) Genome-Wide Association Studies and Meta-Analyses for Congenital Heart Defects. Circ Cardiovasc Genet 10:e001449
Johnston, H Richard; Chopra, Pankaj; Wingo, Thomas S et al. (2017) PEMapper and PECaller provide a simplified approach to whole-genome sequencing. Proc Natl Acad Sci U S A 114:E1923-E1932
Hoang, Thanh T; Marengo, Lisa K; Mitchell, Laura E et al. (2017) Original Findings and Updated Meta-Analysis for the Association Between Maternal Diabetes and Risk for Congenital Heart Disease Phenotypes. Am J Epidemiol 186:118-128

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