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Whole-exome sequencing identifies rare genetic variants associated with human plasma metabolites.
Bomba, Lorenzo; Walter, Klaudia; Guo, Qi; Surendran, Praveen; Kundu, Kousik; Nongmaithem, Suraj; Karim, Mohd Anisul; Stewart, Isobel D; Langenberg, Claudia; Danesh, John; Di Angelantonio, Emanuele; Roberts, David J; Ouwehand, Willem H; Dunham, Ian; Butterworth, Adam S; Soranzo, Nicole.
Afiliação
  • Bomba L; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK.
  • Walter K; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
  • Guo Q; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN,
  • Surendran P; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK.
  • Kundu K; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK.
  • Nongmaithem S; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
  • Karim MA; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK.
  • Stewart ID; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK.
  • Langenberg C; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK; Computational Medicine, Berlin Institute of Health at Charité - Utniversitätsmedizin Berlin, Berlin 10117, Germany.
  • Danesh J; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Camb
  • Di Angelantonio E; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK; National Institute for Health Research Bloo
  • Roberts DJ; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; NHS Blood and Transplant-Oxford Centre, Level 2, John Radcliffe Hospital, Oxford OX3 9BQ, UK; Radcliffe Department of Medicine, University of Oxford
  • Ouwehand WH; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK.
  • Dunham I; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK.
  • Butterworth AS; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK; National Institute for Health Research Bloo
  • Soranzo N; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK; British Heart Foundation Centre of Research Exc
Am J Hum Genet ; 109(6): 1038-1054, 2022 06 02.
Article em En | MEDLINE | ID: mdl-35568032
ABSTRACT
Metabolite levels measured in the human population are endophenotypes for biological processes. We combined sequencing data for 3,924 (whole-exome sequencing, WES, discovery) and 2,805 (whole-genome sequencing, WGS, replication) donors from a prospective cohort of blood donors in England. We used multiple approaches to select and aggregate rare genetic variants (minor allele frequency [MAF] < 0.1%) in protein-coding regions and tested their associations with 995 metabolites measured in plasma by using ultra-high-performance liquid chromatography-tandem mass spectrometry. We identified 40 novel associations implicating rare coding variants (27 genes and 38 metabolites), of which 28 (15 genes and 28 metabolites) were replicated. We developed algorithms to prioritize putative driver variants at each locus and used mediation and Mendelian randomization analyses to test directionality at associations of metabolite and protein levels at the ACY1 locus. Overall, 66% of reported associations implicate gene targets of approved drugs or bioactive drug-like compounds, contributing to drug targets' validating efforts.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exoma Tipo de estudo: Clinical_trials / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exoma Tipo de estudo: Clinical_trials / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article