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Rare variant associations with birth weight identify genes involved in adipose tissue regulation, placental function and insulin-like growth factor signalling.
Kentistou, Katherine A; Lim, Brandon E M; Kaisinger, Lena R; Steinthorsdottir, Valgerdur; Sharp, Luke N; Patel, Kashyap A; Tragante, Vinicius; Hawkes, Gareth; Gardner, Eugene J; Olafsdottir, Thorhildur; Wood, Andrew R; Zhao, Yajie; Thorleifsson, Gudmar; Day, Felix R; Ozanne, Susan E; Hattersley, Andrew T; O'Rahilly, Stephen; Stefansson, Kari; Ong, Ken K; Beaumont, Robin N; Perry, John R B; Freathy, Rachel M.
Afiliação
  • Kentistou KA; MRC Epidemiology Unit, Box 285 Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK.
  • Lim BEM; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
  • Kaisinger LR; MRC Epidemiology Unit, Box 285 Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK.
  • Steinthorsdottir V; deCODE genetics/Amgen, Inc., 102 Reykjavik, Iceland.
  • Sharp LN; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
  • Patel KA; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
  • Tragante V; deCODE genetics/Amgen, Inc., 102 Reykjavik, Iceland.
  • Hawkes G; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
  • Gardner EJ; MRC Epidemiology Unit, Box 285 Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK.
  • Olafsdottir T; deCODE genetics/Amgen, Inc., 102 Reykjavik, Iceland.
  • Wood AR; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
  • Zhao Y; MRC Epidemiology Unit, Box 285 Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK.
  • Thorleifsson G; deCODE genetics/Amgen, Inc., 102 Reykjavik, Iceland.
  • Day FR; MRC Epidemiology Unit, Box 285 Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK.
  • Ozanne SE; MRC Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Hattersley AT; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
  • O'Rahilly S; MRC Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Stefansson K; deCODE genetics/Amgen, Inc., 102 Reykjavik, Iceland.
  • Ong KK; Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland.
  • Beaumont RN; MRC Epidemiology Unit, Box 285 Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK.
  • Perry JRB; Department of Paediatrics, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Freathy RM; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
medRxiv ; 2024 Apr 03.
Article em En | MEDLINE | ID: mdl-38633783
ABSTRACT
Investigating the genetic factors influencing human birth weight may lead to biological insights into fetal growth and long-term health. Genome-wide association studies of birth weight have highlighted associated variants in more than 200 regions of the genome, but the causal genes are mostly unknown. Rare genetic variants with robust evidence of association are more likely to point to causal genes, but to date, only a few rare variants are known to influence birth weight. We aimed to identify genes that harbour rare variants that impact birth weight when carried by either the fetus or the mother, by analysing whole exome sequence data in UK Biobank participants. We annotated rare (minor allele frequency <0.1%) protein-truncating or high impact missense variants on whole exome sequence data in up to 234,675 participants with data on their own birth weight (fetal variants), and up to 181,883 mothers who reported the birth weight of their first child (maternal variants). Variants within each gene were collapsed to perform gene burden tests and for each associated gene, we compared the observed fetal and maternal effects. We identified 8 genes with evidence of rare fetal variant effects on birth weight, of which 2 also showed maternal effects. One additional gene showed evidence of maternal effects only. We observed 10/11 directionally concordant associations in an independent sample of up to 45,622 individuals (sign test P=0.01). Of the genes identified, IGF1R and PAPPA2 (fetal and maternal-acting) have known roles in insulin-like growth factor bioavailability and signalling. PPARG, INHBE and ACVR1C (all fetal-acting) have known roles in adipose tissue regulation and rare variants in the latter two also showed associations with favourable adiposity patterns in adults. We highlight the dual role of PPARG in both adipocyte differentiation and placental angiogenesis. NOS3, NRK, and ADAMTS8 (fetal and maternal-acting) have been implicated in both placental function and hypertension. Analysis of rare coding variants has identified regulators of fetal adipose tissue and fetoplacental angiogenesis as determinants of birth weight, as well as further evidence for the role of insulin-like growth factors.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article