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Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

  • Early Growth Genetics (EGG) Consortium
  • Institute of Biomedical and Clinical Science
  • University of Exeter
  • University of Queensland
  • Centre for Environmental and Preventive Medicine
  • Queen Mary University of London
  • Department of Preventive Medicine
  • Northwestern University
  • Oxford Centre for Diabetes
  • University of Oxford
  • Department of Epidemiology Research
  • Statens Serum Institut
  • Division of Epidemiology
  • Norwegian Institute of Public Health
  • University of Bristol
  • Population Health Science
  • Erasmus University Rotterdam
  • Center for Applied Genomics
  • Children's Hospital of Philadelphia
  • Copenhagen Prospective Studies on Asthma in Childhood (COPSAC)
  • University of Copenhagen
  • Danish Pediatric Asthma Center
  • Institute of Health Sciences
  • University of Oulu
  • Department of Twin Research
  • St Thomas’ Hospital Campus
  • Department of Biostatistics
  • Boston University
  • National Heart Lung and Blood Institute’s and Boston University’s Framingham Heart Study
  • Queensland Institute of Medical Research
  • VU University Medical Center
  • Vrije Universiteit Amsterdam
  • Centre Hospitalier Universitaire de Sherbrooke
  • MRC Lifecourse Epidemiology Unit
  • Pompeu Fabra University
  • Hospital del Mar
  • Centre for Research in Environmental Epidemiology
  • Barcelona Institute for Global Health
  • Division of Obstetrics and Gynaecology
  • University of Western Australia
  • Newcastle University
  • Human Genetics Division
  • Cincinnati Children's Hospital Medical Center
  • Center for Prevention of Preterm Birth
  • March of Dimes Prematurity Research Center Ohio Collaborative
  • University College London
  • ECOGENE-21 and Lipid Clinic
  • Université de Sherbrooke
  • Division of Human Genetics
  • Department of Pediatrics
  • University of Pennsylvania
  • FIMM Institute for Molecular Medicine Finland
  • University of Helsinki
  • Department of Clinical Science
  • University of Bergen
  • Department of Pediatrics
  • Department of Genetics and Bioinformatics
  • The First Affiliated Hospital of Jinan University
  • Institute of Nutritional Science
  • University of Potsdam
  • Department of Epidemiology
  • University Hospital Southampton NHS Foundation Trust
  • Department of Life Sciences and Biotechnology
  • University of Ferrara
  • University of Iowa
  • Research Unit of Obstetrics and Gynecology
  • University of Southern Denmark
  • German Centre for Cardiovascular Research
  • Subdirección de Salud Pública y Adicciones de Gipuzkoa
  • Instituto de Investigación Sanitaria Biodonostia
  • Department of Epidemiology and Biostatistics
  • Imperial College London
  • Department of Obstetrics and Gynecology
  • University of Gothenburg

Research output: Contribution to journalArticlepeer-review

Abstract

Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother-child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P<5×10-8. In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.

Original languageEnglish
Article numberddx429
Pages (from-to)742-756
Number of pages15
JournalHuman Molecular Genetics
Volume27
Issue number4
DOIs
Publication statusPublished - 15 Feb 2018
Externally publishedYes

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