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Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations.
Prins, Bram P; Kuchenbaecker, Karoline B; Bao, Yanchun; Smart, Melissa; Zabaneh, Delilah; Fatemifar, Ghazaleh; Luan, Jian'an; Wareham, Nick J; Scott, Robert A; Perry, John R B; Langenberg, Claudia; Benzeval, Michaela; Kumari, Meena; Zeggini, Eleftheria.
Afiliación
  • Prins BP; Wellcome Trust Sanger Institute, Hinxton, UK.
  • Kuchenbaecker KB; Wellcome Trust Sanger Institute, Hinxton, UK.
  • Bao Y; Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex, UK.
  • Smart M; Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex, UK.
  • Zabaneh D; MRC Social, Genetic & Developmental Psychiatry Centre, IoPPN, KCL, London, UK.
  • Fatemifar G; Institute for Health Informatics, UCL and the Farr Institute of Health Informatics, London, UK.
  • Luan J; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
  • Wareham NJ; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
  • Scott RA; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
  • Perry JRB; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
  • Langenberg C; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
  • Benzeval M; Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex, UK.
  • Kumari M; Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex, UK.
  • Zeggini E; Wellcome Trust Sanger Institute, Hinxton, UK. eleftheria.zeggini@sanger.ac.uk.
Sci Rep ; 7(1): 11008, 2017 09 08.
Article en En | MEDLINE | ID: mdl-28887542
ABSTRACT
Serum biomarker levels are associated with the risk of complex diseases. Here, we aimed to gain insights into the genetic architecture of biomarker traits which can reflect health status. We performed genome-wide association analyses for twenty serum biomarkers involved in organ function and reproductive health. 9,961 individuals from the UK Household Longitudinal Study were genotyped using the Illumina HumanCoreExome array and variants imputed to the 1000 Genomes Project and UK10K haplotypes. We establish a polygenic heritability for all biomarkers, confirm associations of fifty-four established loci, and identify five novel, replicating associations at genome-wide significance. A low-frequency variant, rs28929474, (beta = 0.04, P = 2 × 10-10) was associated with levels of alanine transaminase, an indicator of liver damage. The variant is located in the gene encoding serine protease inhibitor, low levels of which are associated with alpha-1 antitrypsin deficiency which leads to liver disease. We identified novel associations (rs78900934, beta = 0.05, P = 6 × 10-12; rs2911280, beta = 0.09, P = 6 × 10-10) for dihydroepiandrosterone sulphate, a precursor to major sex-hormones, and for glycated haemoglobin (rs12819124, beta = -0.03, P = 4 × 10-9; rs761772, beta = 0.05, P = 5 × 10-9). rs12819124 is nominally associated with risk of type 2 diabetes. Our study offers insights into the genetic architecture of well-known and less well-studied biomarkers.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores / Marcadores Genéticos / Composición Familiar / Salud de la Familia Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Europa Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores / Marcadores Genéticos / Composición Familiar / Salud de la Familia Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Europa Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Reino Unido