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Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study.
Hodgson, Sam; Huang, Qin Qin; Sallah, Neneh; Griffiths, Chris J; Newman, William G; Trembath, Richard C; Wright, John; Lumbers, R Thomas; Kuchenbaecker, Karoline; van Heel, David A; Mathur, Rohini; Martin, Hilary C; Finer, Sarah.
Afiliação
  • Hodgson S; Primary Care Research Centre, University of Southampton, Southampton, United Kingdom.
  • Huang QQ; Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom.
  • Sallah N; Institute of Health Informatics, University College London, London, United Kingdom.
  • Newman WG; Wolfson Institute of Population Health, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
  • Trembath RC; Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom.
  • Wright J; Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.
  • Lumbers RT; School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
  • Kuchenbaecker K; Bradford Institute for Health Research, Bradford, United Kingdom.
  • van Heel DA; Institute of Health Informatics, University College London, London, United Kingdom.
  • Mathur R; British Heart Foundation Research Accelerator, University College London, London, United Kingdom.
  • Martin HC; UCL Genetics Institute, University College London, London, United Kingdom.
  • Finer S; Division of Psychiatry, University College London, London, United Kingdom.
PLoS Med ; 19(5): e1003981, 2022 05.
Article em En | MEDLINE | ID: mdl-35587468
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: Asia Idioma: En Revista: PLoS Med Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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XML
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: Asia Idioma: En Revista: PLoS Med Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido