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Genome-wide associations for birth weight and correlations with adult disease

  • Momoko Horikoshi
  • , Robin N. Beaumont
  • , Felix R. Day
  • , Nicole M. Warrington
  • , Marjolein N. Kooijman
  • , Juan Fernandez-Tajes
  • , Bjarke Feenstra
  • , Natalie R. Van Zuydam
  • , Kyle J. Gaulton
  • , Niels Grarup
  • , Jonathan P. Bradfield
  • , David P. Strachan
  • , Ruifang Li-Gao
  • , Tarunveer S. Ahluwalia
  • , Eskil Kreiner
  • , Rico Rueedi
  • , Leo Pekka Lyytikaïnen
  • , Diana L. Cousminer
  • , Ying Wu
  • , Elisabeth Thiering
  • Carol A. Wang, Christian T. Have, Jouke Jan Hottenga, Natalia Vilor-Tejedor, Peter K. Joshi, Eileen Tai Hui Boh, Ioanna Ntalla, Niina Pitkänen, Anubha Mahajan, Elisabeth M. Van Leeuwen, Raimo Joro, Vasiliki Lagou, Michael Nodzenski, Louise A. Diver, Krina T. Zondervan, Mariona Bustamante, Pedro Marques-Vidal, Josep M. Mercader, Amanda J. Bennett, Nilufer Rahmioglu, Dale R. Nyholt, Ronald C.W. Ma, Claudia H.T. Tam, Wing Hung Tam, Santhi K. Ganesh, Frank J.A. Van Rooij, Samuel E. Jones, Po Ru Loh, Katherine S. Ruth, Marcus A. Tuke, Jessica Tyrrell, Andrew R. Wood, Hanieh Yaghootkar, Denise M. Scholtens, Lavinia Paternoster, Inga Prokopenko, Peter Kovacs, Mustafa Atalay, Sara M. Willems, Kalliope Panoutsopoulou, Xu Wang, Lisbeth Carstensen, Frank Geller, Katharina E. Schraut, Mario Murcia, Catharina E.M. Van Beijsterveldt, Gonneke Willemsen, Emil V.R. Appel, Cilius E. Fonvig, Caecilie Trier, Carla M.T. Tiesler, Marie Standl, Zoltán Kutalik, Sílvia Bonàs-Guarch, David M. Hougaard, Friman Sánchez, David Torrents, Johannes Waage, Mads V. Hollegaard, Hugoline G. De Haan, Frits R. Rosendaal, Carolina Medina-Gomez, Susan M. Ring, Gibran Hemani, George McMahon, Neil R. Robertson, Christopher J. Groves, Claudia Langenberg, Jian'An Luan, Robert A. Scott, Jing Hua Zhao, Frank D. Mentch, Scott M. MacKenzie, Rebecca M. Reynolds, William L. Lowe, Anke Tönjes, Michael Stumvoll, Virpi Lindi, Timo A. Lakka, Cornelia M. Van Duijn, Wieland Kiess, Antje Körner, Thorkild I.A. Sørensen, Harri Niinikoski, Katja Pahkala, Olli T. Raitakari, Eleftheria Zeggini, George V. Dedoussis, Yik Ying Teo, Seang Mei Saw, Mads Melbye, Harry Campbell, James F. Wilson, Martine Vrijheid, Eco J.C.N. De Geus, Dorret I. Boomsma, Haja N. Kadarmideen, Jens Christian Holm, Torben Hansen, Sylvain Sebert, Andrew T. Hattersley, Lawrence J. Beilin, John P. Newnham, Craig E. Pennell, Joachim Heinrich, Linda S. Adair, Judith B. Borja, Karen L. Mohlke, Johan G. Eriksson, Elisabeth Widén, Mika Kähönen, Jorma S. Viikari, Terho Lehtimäki, Peter Vollenweider, Klaus Bønnelykke, Hans Bisgaard, Dennis O. Mook-Kanamori, Albert Hofman, Fernando Rivadeneira, André G. Uitterlinden, Charlotta Pisinger, Oluf Pedersen, Christine Power, Elina Hyppönen, Nicholas J. Wareham, Hakon Hakonarson, Eleanor Davies, Brian R. Walker, Vincent W.V. Jaddoe, Marjo Riitta Järvelin, Struan F.A. Grant, Allan A. Vaag, Debbie A. Lawlor, Timothy M. Frayling, George Davey Smith, Andrew P. Morris, Ken K. Ong, Janine F. Felix, Nicholas J. Timpson, John R.B. Perry, David M. Evans, Mark I. McCarthy*, Rachel M. Freathy
*Corresponding author for this work
  • University of Oxford
  • University of Exeter
  • University of Cambridge
  • University of Queensland
  • University of Western Australia
  • Erasmus University Rotterdam
  • Statens Serum Institut
  • University of California at San Diego
  • University of Copenhagen
  • Children's Hospital of Philadelphia
  • St. George's University of London
  • Leiden University
  • Novo Nordisk Foundation
  • University of Lausanne
  • Swiss Institute of Bioinformatics
  • Fimlab Laboratories
  • Tampere University
  • University of Helsinki
  • University of Pennsylvania
  • University of North Carolina at Chapel Hill
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • Ludwig Maximilian University of Munich
  • Vrije Universiteit Amsterdam
  • Barcelona Institute for Global Health
  • Pompeu Fabra University
  • Biomedical Research Networking Center in Epidemiology and Public Health (CiberESP)
  • University of Edinburgh
  • MOH Holdings Pte Ltd.
  • Queen Mary University of London
  • Harokopio University
  • University of Turku
  • University of Eastern Finland
  • KU Leuven
  • Flanders Institute for Biotechnology
  • Northwestern University
  • University of Glasgow
  • Centre for Genomic Regulation
  • Institute for Research in Biomedicine
  • Queensland University of Technology
  • Chinese University of Hong Kong
  • University of Michigan, Ann Arbor
  • Harvard University
  • Broad Institute
  • University of Bristol
  • School of Public Health
  • Leipzig University
  • Wellcome Trust Sanger Institute
  • University of Valencia
  • Barcelona Supercomputing Center
  • ICREA
  • Paavo Nurmi Centre
  • Turku University
  • National University of Singapore
  • Singapore National Eye Center
  • Stanford University
  • VU University Medical Center
  • University of Oulu
  • University of San Carlos - Philippines
  • National Institute for Health and Welfare
  • Folkhalsan
  • King Faisal Specialist Hospital and Research Centre
  • University College London
  • Adelaide University
  • Department of Health South Australia
  • AstraZeneca
  • University of Liverpool
  • University of Tartu
  • National Institute for Health Research (NIHR) Oxford Biomedical Research Centre

Research output: Contribution to journalArticlepeer-review

Abstract

Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease1. These lifecourse associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW (P < 5 × 10-8). Overall, approximately 15% of variance in BW was captured by assays of fetal genetic variation. Using genetic association alone, we found strong inverse genetic correlations between BW and systolic blood pressure (Rg =-0.22, P = 5.5 × 10-13), T2D (Rg =-0.27, P = 1.1 × 10-6) and coronary artery disease (Rg =-0.30, P = 6.5 × 10-9). In addition, using large-cohort datasets, we demonstrated that genetic factors were the major contributor to the negative covariance between BW and future cardiometabolic risk. Pathway analyses indicated that the protein products of genes within BW-associated regions were enriched for diverse processes including insulin signalling, glucose homeostasis, glycogen biosynthesis and chromatin remodelling. There was also enrichment of associations with BW in known imprinted regions (P = 1.9 × 10-4). We demonstrate that life-course associations between early growth phenotypes and adult cardiometabolic disease are in part the result of shared genetic effects and identify some of the pathways through which these causal genetic effects are mediated.

Original languageEnglish
Pages (from-to)248-252
Number of pages5
JournalNature
Volume538
Issue number7624
DOIs
Publication statusPublished - 2016
Externally publishedYes

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