TY - JOUR
T1 - Genome-Wide De Novo Variants in Congenital Heart Disease Are Not Associated With Maternal Diabetes or Obesity
AU - Morton, Sarah U.
AU - Pereira, Alexandre C.
AU - Quiat, Daniel
AU - Richter, Felix
AU - Kitaygorodsky, Alexander
AU - Hagen, Jacob
AU - Bernstein, Daniel
AU - Brueckner, Martina
AU - Goldmuntz, Elizabeth
AU - Kim, Richard W.
AU - Lifton, Richard P.
AU - Porter, George A.
AU - Tristani-Firouzi, Martin
AU - Chung, Wendy K.
AU - Roberts, Amy
AU - Gelb, Bruce D.
AU - Shen, Yufeng
AU - Newburger, Jane W.
AU - Seidman, J. G.
AU - Seidman, Christine E.
N1 - Funding Information:
We thank the participants of the Pediatric Cardiac Genomics Consortium (PCGC) and those in other human genetic studies that have enabled this research. This work was supported, in part, by grants from the Harvard Medical School Epigenetics and Gene Dynamics Award and American Heart Association Post-Doctoral Fellowship (Dr Morton), the Constance Goulandris Foundation (W.K.C.), the National Center for Research Resources (U01 HL098153), the National Center for Advancing Translational Sciences (UL1TR000003 and 1TR002541) the National Institutes of Health (U01-HL098188, U01-HL098147, U01-HL098153, U01-HL098163, U01-HL098123, and U01-HL098162), the National Institutes of Health (NIH) Centers for Mendelian Genomics (5U54HG006504), and the Howard Hughes Medical Institute (Dr Lifton and C.E. Seidman). Funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; nor the decision to submit the manuscript for publication. Dr Morton and C.E. Seidman had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Dr Morton, J.G. Seidman, and C.E. Seidman conducted and are responsible for the data analysis.
Publisher Copyright:
© 2022 Lippincott Williams and Wilkins. All rights reserved.
PY - 2022/4/1
Y1 - 2022/4/1
N2 - Background: Congenital heart disease (CHD) is the most common anomaly at birth, with a prevalence of ≈1%. While infants born to mothers with diabetes or obesity have a 2- to 3-fold increased incidence of CHD, the cause of the increase is unknown. Damaging de novo variants (DNV) in coding regions are more common among patients with CHD, but genome-wide rates of coding and noncoding DNVs associated with these prenatal exposures have not been studied in patients with CHD. Methods: DNV frequencies were determined for 1812 patients with CHD who had whole-genome sequencing and prenatal history data available from the Pediatric Cardiac Genomics Consortium's CHD GENES study (Genetic Network). The frequency of DNVs was compared between subgroups using t test or linear model. Results: Among 1812 patients with CHD, the number of DNVs per patient was higher with maternal diabetes (76.5 versus 72.1, t test P=3.03×10-11), but the difference was no longer significant after including parental ages in a linear model (paternal and maternal correction P=0.42). No interaction was observed between diabetes risk and parental age (paternal and maternal interaction P=0.80 and 0.68, respectively). No difference was seen in DNV count per patient based on maternal obesity (72.0 versus 72.2 for maternal body mass index <25 versus maternal body mass index >30, t test P=0.86). Conclusions: After accounting for parental age, the offspring of diabetic or obese mothers have no increase in DNVs compared with other children with CHD. These results emphasize the role for other mechanisms in the cause of CHD associated with these prenatal exposures. Registration: URL: https://clinicaltrials.gov; NCT01196182.
AB - Background: Congenital heart disease (CHD) is the most common anomaly at birth, with a prevalence of ≈1%. While infants born to mothers with diabetes or obesity have a 2- to 3-fold increased incidence of CHD, the cause of the increase is unknown. Damaging de novo variants (DNV) in coding regions are more common among patients with CHD, but genome-wide rates of coding and noncoding DNVs associated with these prenatal exposures have not been studied in patients with CHD. Methods: DNV frequencies were determined for 1812 patients with CHD who had whole-genome sequencing and prenatal history data available from the Pediatric Cardiac Genomics Consortium's CHD GENES study (Genetic Network). The frequency of DNVs was compared between subgroups using t test or linear model. Results: Among 1812 patients with CHD, the number of DNVs per patient was higher with maternal diabetes (76.5 versus 72.1, t test P=3.03×10-11), but the difference was no longer significant after including parental ages in a linear model (paternal and maternal correction P=0.42). No interaction was observed between diabetes risk and parental age (paternal and maternal interaction P=0.80 and 0.68, respectively). No difference was seen in DNV count per patient based on maternal obesity (72.0 versus 72.2 for maternal body mass index <25 versus maternal body mass index >30, t test P=0.86). Conclusions: After accounting for parental age, the offspring of diabetic or obese mothers have no increase in DNVs compared with other children with CHD. These results emphasize the role for other mechanisms in the cause of CHD associated with these prenatal exposures. Registration: URL: https://clinicaltrials.gov; NCT01196182.
KW - Body mass index
KW - congenital
KW - genome
KW - heart defects
KW - obesity
KW - prevalence
UR - http://www.scopus.com/inward/record.url?scp=85128800229&partnerID=8YFLogxK
U2 - 10.1161/CIRCGEN.121.003500
DO - 10.1161/CIRCGEN.121.003500
M3 - Article
C2 - 35130025
AN - SCOPUS:85128800229
SN - 1942-325X
VL - 15
SP - E003500
JO - Circulation. Genomic and precision medicine
JF - Circulation. Genomic and precision medicine
IS - 2
ER -