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

  • M. Horikoshi
  • , R.N. Beaumont
  • , F.R. Day
  • , N.M. Warrington
  • , M.N. Kooijman
  • , J. Fernandez-Tajes
  • , B. Feenstra
  • , N.R. van Zuydam
  • , K.J. Gaulton
  • , N. Grarup
  • , J.J. Hottenga
  • , N. Rahmioglu
  • , DR Nyholt
  • , C.E.M. van Beijsterveldt
  • , G. Willemsen
  • , E.J.C. de Geus
  • , D.I. Boomsma
  • , T.M. Frayling
  • , G. Davey Smith
  • , A.P. Morris
  • K.K. Ong, J.F. Felix, N.J. Timpson, J.R.B. Perry, D.M. Evans, M.I. McCarthy, R.M. Freathy

Research output: Contribution to JournalArticleAcademicpeer-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
Original languageEnglish
Pages (from-to)248-252
JournalNature
Volume538
Issue number7624
DOIs
Publication statusPublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Cohort Studies

  • Netherlands Twin Register (NTR)

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