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Ashiq S, Sabar MF. Association of maternal hypertension and diabetes with variants of the NKX2-5, LEFTY1 and LEFTY2 genes in children with congenital heart defects: a case-control study from Pakistani Population. Mol Biol Rep 2023; 50:5013-5020. [PMID: 37097539 DOI: 10.1007/s11033-023-08418-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/30/2023] [Indexed: 04/26/2023]
Abstract
BACKGROUND Globally, congenital heart defect (CHD) is the most common congenital malformation, responsible for higher morbidity and mortality in the pediatric population. It is a complex multifactorial disease influenced by gene-environment and gene-gene interactions. The current study was the first attempt to study these polymorphisms in common clinical phenotypes of CHD in Pakistan and the association between maternal hypertension and diabetes with single nucleotide polymorphisms (SNPs) in children. METHODS A total of 376 subjects were recruited in this current case-control study. Six variants from three genes were analyzed by cost-effective multiplex PCR and genotyped by minisequencing. Statistical analysis was done by GraphPad prism and Haploview. The association of SNPs and CHD was determined using logistic regression. RESULTS The risk allele frequency was higher in cases as compared to healthy subjects, but the results were not significant for rs703752. However, stratification analysis suggested that rs703752 was significantly associated with the tetralogy of Fallot. The rs2295418 was significantly associated with maternal hypertension (OR = 16.41, p = 0.003), while a weak association was present between maternal diabetes and rs360057 (p = 0.08). CONCLUSION In conclusion, variants in transcriptional and signaling genes were associated with Pakistani pediatric CHD patients that showed varied susceptibility between different clinical phenotypes of CHD. In addition, this study was the first report regarding the significant association between maternal hypertension and the LEFTY2 gene variant.
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Affiliation(s)
- Sana Ashiq
- Centre for Applied Molecular Biology, University of the Punjab, 87-West Canal Bank Road, Thokar Niaz Baig, Lahore, 53700, Pakistan
| | - Muhammad Farooq Sabar
- Centre for Applied Molecular Biology, University of the Punjab, 87-West Canal Bank Road, Thokar Niaz Baig, Lahore, 53700, Pakistan.
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2
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Maternal genetic factors in the development of congenital heart defects. Curr Opin Genet Dev 2022; 76:101961. [PMID: 35882070 DOI: 10.1016/j.gde.2022.101961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 06/20/2022] [Accepted: 06/25/2022] [Indexed: 11/24/2022]
Abstract
Congenital heart defects (CHDs) are among the most common, serious birth defects. However, the cause of CHDs is unknown for approximately half of affected individuals and there are few prevention strategies. Although not extensively investigated, maternal genes may contribute to CHD etiology by modifying the effects of maternal exposures (e.g. medications, nutrients), contributing to maternal phenotypes that are associated with an increased risk of CHDs in offspring (e.g. diabetes), or acting as maternal effect genes. Since maternal genes could serve as a target for the primary prevention of CHDs, efforts to further define the contribution of the maternal genome to CHD etiology are warranted.
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Kankowski L, Ardissino M, McCracken C, Lewandowski AJ, Leeson P, Neubauer S, Harvey NC, Petersen SE, Raisi-Estabragh Z. The Impact of Maternal Obesity on Offspring Cardiovascular Health: A Systematic Literature Review. Front Endocrinol (Lausanne) 2022; 13:868441. [PMID: 35669689 PMCID: PMC9164814 DOI: 10.3389/fendo.2022.868441] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/14/2022] [Indexed: 01/02/2023] Open
Abstract
Objective Obesity and cardiovascular disease are major global public health problems. Maternal obesity has been linked to multiple adverse health consequences for both mother and baby. Obesity during pregnancy may adversely alter the intrauterine environment, which has been hypothesised to predispose the offspring to poorer cardiovascular health throughout life. In this paper, we systematically review current literature examining the links between maternal obesity and offspring cardiovascular health. Methods This study is registered with PROSPERO (CRD42021278567) and was conducted in accordance with the PRISMA guidelines. A comprehensive systematic literature search was conducted, including two electronic databases (Ovid Medline, Embase), cross-referencing, author searching, and grey literature searches. We selected studies exploring the relationship between maternal obesity and offspring cardiovascular health, using pre-defined eligibility criteria. Studies were critically appraised using the ROBINS-I tool. Results From 1,214 results, 27 articles met the eligibility criteria. Multiple cardiovascular outcomes were considered, including congenital heart disease, cardiometabolic parameters, and cardiovascular diseases in neonates, children, and adults. In these studies, maternal obesity was consistently associated with congenital heart disease, several adverse cardiometabolic parameters throughout life including higher body mass index and insulin levels, and greater risk of cardiovascular disease in adulthood. Hypothesized underlying mechanisms are complex and multifactorial comprising genetic, environmental, and socioeconomic components, which can be difficult to quantify. Heterogeneity in study designs, highly selected study samples, and high risk of bias in some studies limit conclusions regarding causality. Conclusions We identified consistent evidence of links between maternal obesity and poorer offspring cardiovascular health throughout the lifecourse, extending from the neonatal period into adulthood. Although underlying mechanisms are unclear, our findings support consideration of targeted maternal obesity prevention for promotion of offspring cardiovascular health. This all-encompassing systematic review provides critical appraisal of the latest evidence, defines gaps and biases of existing literature, and may inform potential new public health strategies for cardiovascular disease prevention. Systematic Review Registration [https://www.crd.york.ac.uk/prospero], identifier PROSPERO (CRD42021278567).
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Affiliation(s)
- Lois Kankowski
- Barts and the London School of Medicine and Dentistry, London, United Kingdom
| | - Maddalena Ardissino
- Imperial College School of Medicine, Imperial College London, United Kingdom
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Adam J. Lewandowski
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Paul Leeson
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Steffen E. Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, United Kingdom
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, United Kingdom
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4
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Morton SU, Pereira AC, Quiat D, Richter F, Kitaygorodsky A, Hagen J, Bernstein D, Brueckner M, Goldmuntz E, Kim RW, Lifton RP, Porter GA, Tristani-Firouzi M, Chung WK, Roberts A, Gelb BD, Shen Y, Newburger JW, Seidman JG, Seidman CE. Genome-Wide De Novo Variants in Congenital Heart Disease Are Not Associated With Maternal Diabetes or Obesity. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2022; 15:e003500. [PMID: 35130025 PMCID: PMC9295870 DOI: 10.1161/circgen.121.003500] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
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.
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Affiliation(s)
- Sarah U. Morton
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA USA,Department of Pediatrics, Harvard Medical School, Boston, MA USA
| | | | - Daniel Quiat
- Department of Pediatrics, Harvard Medical School, Boston, MA USA,Department of Cardiology, Boston Children’s Hospital, Boston, MA USA
| | - Felix Richter
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Alexander Kitaygorodsky
- Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Jacob Hagen
- Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Daniel Bernstein
- Department of Pediatrics (Cardiology), Stanford University, Stanford, CA USA
| | - Martina Brueckner
- Departments of Genetics and Pediatrics; Yale University School of Medicine, New Haven, CT USA
| | - Elizabeth Goldmuntz
- Division of Cardiology, Children’s Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | | | - Richard P. Lifton
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY USA
| | - George A. Porter
- Department of Pediatrics, University of Rochester Medical Center, The School of Medicine and Dentistry, Rochester, NY USA
| | | | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY USA
| | - Amy Roberts
- Department of Pediatrics, Harvard Medical School, Boston, MA USA,Department of Cardiology, Boston Children’s Hospital, Boston, MA USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Yufeng Shen
- Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Jane W. Newburger
- Department of Pediatrics, Harvard Medical School, Boston, MA USA,Department of Cardiology, Boston Children’s Hospital, Boston, MA USA
| | - J. G. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA USA
| | - Christine E. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA USA,Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA USA,Howard Hughes Medical Institute, Chevy Chase, MD USA
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Lei Y, Ludorf KL, Yu X, Benjamin RH, Gu X, Lin Y, Finnell RH, Mitchell LE, Musfee FI, Malik S, Canfield MA, Morrison AC, Hobbs CA, Van Zutphen AR, Fisher S, Agopian AJ. Maternal Hypertension-Related Genotypes and Congenital Heart Defects. Am J Hypertens 2021; 34:82-91. [PMID: 32710738 PMCID: PMC7891240 DOI: 10.1093/ajh/hpaa116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 04/05/2020] [Accepted: 07/20/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Maternal hypertension has been associated with congenital heart defect occurrence in several studies. We assessed whether maternal genotypes associated with this condition were also associated with congenital heart defect occurrence. METHODS We used data from the National Birth Defects Prevention Study to identify non-Hispanic white (NHW) and Hispanic women with (cases) and without (controls) a pregnancy in which a select simple, isolated heart defect was present between 1999 and 2011. We genotyped 29 hypertension-related single nucleotide polymorphisms (SNPs). We conducted logistic regression analyses separately by race/ethnicity to assess the relationship between the presence of any congenital heart defect and each SNP and an overall blood pressure genetic risk score (GRS). All analyses were then repeated to assess 4 separate congenital heart defect subtypes. RESULTS Four hypertension-related variants were associated with congenital heart defects among NHW women (N = 1,568 with affected pregnancies). For example, 1 intronic variant in ARHGAP2, rs633185, was associated with conotruncal defects (odds ratio [OR]: 1.3, 95% confidence interval [CI]: 1.1-1.6). Additionally, 2 variants were associated with congenital heart defects among Hispanic women (N = 489 with affected pregnancies). The GRS had a significant association with septal defects (OR: 2.1, 95% CI: 1.2-3.5) among NHW women. CONCLUSIONS We replicated a previously reported association between rs633185 and conotruncal defects. Although additional hypertension-related SNPs were also associated with congenital heart defects, more work is needed to better understand the relationship between genetic risk for maternal hypertension and congenital heart defects occurrence.
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Affiliation(s)
- Yunping Lei
- Department of Molecular and Cellular Biology and Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Katherine L Ludorf
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Xiao Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Renata H Benjamin
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Xue Gu
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Ying Lin
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Richard H Finnell
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Laura E Mitchell
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Fadi I Musfee
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Sadia Malik
- Pediatric Cardiology, Department of Pediatrics, UT Southwestern Children’s Medical Center, Dallas, Texas, USA
| | - Mark A Canfield
- Birth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Charlotte A Hobbs
- Rady Children’s Institute for Genomic Medicine, San Diego, California, USA
| | - Alissa R Van Zutphen
- New York State Department of Health, Bureau of Environmental and Occupational Epidemiology, Albany, New York, USA
| | - Sarah Fisher
- New York State Department of Health, Bureau of Environmental and Occupational Epidemiology, Albany, New York, USA
| | - A J Agopian
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
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Buawangpong N, Teekachunhatean S, Koonrungsesomboon N. Adverse pregnancy outcomes associated with first-trimester exposure to angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers: A systematic review and meta-analysis. Pharmacol Res Perspect 2020; 8:e00644. [PMID: 32815286 PMCID: PMC7438312 DOI: 10.1002/prp2.644] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/21/2020] [Accepted: 07/22/2020] [Indexed: 12/11/2022] Open
Abstract
This study aimed to determine the effects of prenatal exposure to angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs), particularly when exposure is limited to the first trimester of pregnancy, on adverse maternal and neonatal outcomes. A systematic search was performed on four databases, that is, PubMed, Scopus, Web of Science, and Cochrane Library, to identify relevant articles published up to December 31, 2019. Included studies were limited to original investigations assessing the association between prenatal exposure to ACEIs/ARBs and adverse pregnancy outcomes. Odds ratios were used as a summary effect measure. Pooled-effect estimates of each outcome were calculated by the random-effects meta-analysis. The main outcomes included overall and specific congenital malformations, low birth weight, miscarriage, elective termination of pregnancy, stillbirth, and preterm delivery. Of 19 included articles involving a total of 4 163 753 pregnant women, 13 studies reported an increased risk of, at least, one adverse pregnancy outcome in pregnant women who were exposed to ACEIs/ARBs. Meta-analysis revealed a significant association between overall congenital malformations and first trimester-only exposure to ACEIs/ARBs (OR = 1.94, 95% CI = 1.71-2.21, P < .0001). Cardiovascular malformations, miscarriage, and stillbirth also provided a significant relation with ACEI/ARB exposure. In conclusion, prenatal exposure to ACEIs/ARBs in the first trimester of pregnancy was found to be associated with an increased risk of adverse pregnancy outcomes. Women of reproductive age should be aware of the potential teratogenic risks of these drugs if they become pregnant.
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Affiliation(s)
- Nida Buawangpong
- Department of Family MedicineFaculty of MedicineChiang Mai UniversityChiang MaiThailand
| | | | - Nut Koonrungsesomboon
- Department of PharmacologyFaculty of MedicineChiang Mai UniversityChiang MaiThailand
- Musculoskeletal Science and Translational Research CenterChiang Mai UniversityChiang MaiThailand
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Sewda A, Agopian AJ, Goldmuntz E, Hakonarson H, Morrow BE, Musfee F, Taylor D, Mitchell LE. Gene-based analyses of the maternal genome implicate maternal effect genes as risk factors for conotruncal heart defects. PLoS One 2020; 15:e0234357. [PMID: 32516339 PMCID: PMC7282656 DOI: 10.1371/journal.pone.0234357] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/22/2020] [Indexed: 12/12/2022] Open
Abstract
Congenital heart defects (CHDs) affect approximately 1% of newborns. Epidemiological studies have identified several genetically-mediated maternal phenotypes (e.g., pregestational diabetes, chronic hypertension) that are associated with the risk of CHDs in offspring. However, the role of the maternal genome in determining CHD risk has not been defined. We present findings from gene-level, genome-wide studies that link CHDs to maternal effect genes as well as to maternal genes related to hypertension and proteostasis. Maternal effect genes, which provide the mRNAs and proteins in the oocyte that guide early embryonic development before zygotic gene activation, have not previously been implicated in CHD risk. Our findings support a role for and suggest new pathways by which the maternal genome may contribute to the development of CHDs in offspring.
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Affiliation(s)
- Anshuman Sewda
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
| | - A. J. Agopian
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
| | - Elizabeth Goldmuntz
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Division of Cardiology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Hakon Hakonarson
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Bernice E. Morrow
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Fadi Musfee
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
| | - Deanne Taylor
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Laura E. Mitchell
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
- * E-mail:
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