Dramatic advances in surgical repair and cardiac intervention have improved survival in even the most complex forms of congenital heart disease (CHD). With this notable success, there has been a shift from perioperative to chronic cardiac morbidity and accelerated mortality. Right ventricular (RV) dysfunction is an important determinant of long-term outcomes in children and adults with many forms of CHD. Outcomes such as RV dysfunction and associated comorbidities are currently thought of primarily in terms of hemodynamic or physiological factors. However, routine clinical and imaging variables have explained only a small percentage of the variability in RV function and clinical outcomes in CHD patients, suggesting an important role for as-yet- unrecognized contributors. We hypothesize that multiple genetic factors contribute to the unexplained variation in RV performance and patient outcomes. To investigate the relationship of genomic factors and clinical outcomes, we will study two exemplars of CHD for which right ventricular (RV) dysfunction especially impacts outcomes: tetralogy of Fallot (TOF) and hypoplastic left heart syndrome (HLHS). Our proposed study population will leverage a unique clinical and genetic database developed by the PCGC, as well cohorts within individual PCGC centers and other consortia.
In Aim 1, we will study the effects of rare damaging variants identified in patients with TOF and HLHS on RV function, clinical outcomes, and anatomical subtypes influencing outcomes. Our primary outcome will be RV ejection fraction by cardiac MRI (CMR). Secondary outcomes will include other CMR measures of systolic and diastolic function, as well as clinical outcomes such as transplant-free survival, sustained ventricular and atrial tachycardias, and heart failure defined as New York Heart Association Class III or IV.
In Aim 2, we will study the effects of common variants identified in patients with TOF and HLHS on RV function, clinical outcomes, and anatomical subtypes influencing outcomes. Primary and secondary outcomes will be identical to those in Aim 1.
Aim 3 will assess the effects of rare and common variants associated with outcomes on cardiomyocyte function, metabolism, gene expression, and chromatin accessibility in isogenic induced pluripotent stem cells differentiated into cardiomyocytes (iPSC-CMs) and CHD tissues. We will define outcome-associated common variants using bioinformatic and functional assays, and derive iPSC-CMs with CHD variants, alone or in addition to rare and common outcome-associated variants. We will assess contraction relaxation, energetic parameters, and transcriptional activities in iPSC-CMs. We will complement these studies with single cell nuclear sequencing (NucSeq) and ATACseq analyses of CHD tissues to explore how outcome-associated variants influence in vivo cardiomyocyte biology. By identifying genes affecting outcomes, our proposal will advance mechanistic insights, improve risk-stratification and provide resources for more precise personalized therapies for CHD patients across the lifespan.

Public Health Relevance

Right ventricular dysfunction is an important determinant of long-term outcomes in patients with many forms of congenital heart disease. Our research will explore how genotypes affect right ventricular function, survival, and clinical outcomes. We will also test the effect of genotypes in human induced pluripotential stem cell- derived cardiomyocytes, providing functional evidence of how genotypes influence cardiac performance, and developing a resource for future testing of drugs and small molecules targeted at improving deficits.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
2U01HL098147-12
Application #
10027143
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Kaltman, Jonathan R
Project Start
2009-09-30
Project End
2025-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
12
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Boston Children's Hospital
Department
Type
DUNS #
076593722
City
Boston
State
MA
Country
United States
Zip Code
02115
Manheimer, Kathryn B; Patel, Nihir; Richter, Felix et al. (2018) Robust identification of deletions in exome and genome sequence data based on clustering of Mendelian errors. Hum Mutat 39:870-881
Manheimer, Kathryn B; Richter, Felix; Edelmann, Lisa J et al. (2018) Robust identification of mosaic variants in congenital heart disease. Hum Genet 137:183-193
Shaaban, Sherin; MacKinnon, Sarah; Andrews, Caroline et al. (2018) Genome-Wide Association Study Identifies a Susceptibility Locus for Comitant Esotropia and Suggests a Parent-of-Origin Effect. Invest Ophthalmol Vis Sci 59:4054-4064
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
Zaidi, Samir; Brueckner, Martina (2017) Genetics and Genomics of Congenital Heart Disease. Circ Res 120:923-940
Jin, Sheng Chih; Homsy, Jason; Zaidi, Samir et al. (2017) Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands. Nat Genet 49:1593-1601
DeLaughter, Daniel M; Bick, Alexander G; Wakimoto, Hiroko et al. (2016) Single-Cell Resolution of Temporal Gene Expression during Heart Development. Dev Cell 39:480-490
McKean, David M; Homsy, Jason; Wakimoto, Hiroko et al. (2016) Loss of RNA expression and allele-specific expression associated with congenital heart disease. Nat Commun 7:12824
Johnson, Douglas B; Balko, Justin M; Compton, Margaret L et al. (2016) Fulminant Myocarditis with Combination Immune Checkpoint Blockade. N Engl J Med 375:1749-1755
Glessner, Joseph T; Bick, Alexander G; Ito, Kaoru et al. (2014) Increased frequency of de novo copy number variants in congenital heart disease by integrative analysis of single nucleotide polymorphism array and exome sequence data. Circ Res 115:884-896

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