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Metabolic Traits and Stroke Risk in Individuals of African Ancestry: Mendelian Randomization Analysis.
Fatumo, Segun; Karhunen, Ville; Chikowore, Tinashe; Sounkou, Toure; Udosen, Brenda; Ezenwa, Chisom; Nakabuye, Mariam; Soremekun, Opeyemi; Daghlas, Iyas; Ryan, David K; Taylor, Amybel; Mason, Amy M; Damrauer, Scott M; Vujkovic, Marijana; Keene, Keith L; Fornage, Myriam; Järvelin, Marjo-Riitta; Burgess, Stephen; Gill, Dipender.
Afiliação
  • Fatumo S; The African Computational genomics (TACG) Research group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda (S.F., T.S., B.U., C.E., M.N., O.S.).
  • Karhunen V; Department of Non-communicable Disease Epidemiology (NCDE), London School of Hygiene and Tropical Medicine London, United Kingdom (S.F.).
  • Chikowore T; H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria (S.F., C.E.).
  • Sounkou T; MRC Biostatistics Unit, School of Clinical Medicine (S.F., S.B.), University of Cambridge, United Kingdom.
  • Udosen B; Department of Epidemiology and Biostatistics, Medical School Building, St Mary's Hospital, Imperial College London, United Kingdom (V.K., M.-R.J., D.G.).
  • Ezenwa C; Center for Life Course Health Research, Faculty of Medicine (V.K., M.-R.J.), University of Oulu, Finland.
  • Nakabuye M; Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland.
  • Soremekun O; MRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics (T.C.), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Daghlas I; Sydney Brenner Institute for Molecular Bioscience (T.C.), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Ryan DK; The African Computational genomics (TACG) Research group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda (S.F., T.S., B.U., C.E., M.N., O.S.).
  • Taylor A; The African Center of Excellence in Bioinformatics of Bamako (ACE-B), University of Sciences, Techniques and Technologies of Bamako, Mali (T.S., B.U.).
  • Mason AM; The African Computational genomics (TACG) Research group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda (S.F., T.S., B.U., C.E., M.N., O.S.).
  • Damrauer SM; The African Center of Excellence in Bioinformatics of Bamako (ACE-B), University of Sciences, Techniques and Technologies of Bamako, Mali (T.S., B.U.).
  • Vujkovic M; The African Computational genomics (TACG) Research group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda (S.F., T.S., B.U., C.E., M.N., O.S.).
  • Keene KL; H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria (S.F., C.E.).
  • Fornage M; The African Computational genomics (TACG) Research group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda (S.F., T.S., B.U., C.E., M.N., O.S.).
  • Järvelin MR; The African Computational genomics (TACG) Research group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda (S.F., T.S., B.U., C.E., M.N., O.S.).
  • Burgess S; Harvard Medical School, Boston, MA (I.D.).
  • Gill D; Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George's University Hospitals NHS Foundation Trust, London, United Kingdom (D.K.R., A.T., D.G.).
Stroke ; 52(8): 2680-2684, 2021 08.
Article em En | MEDLINE | ID: mdl-34078102
ABSTRACT
BACKGROUND AND

PURPOSE:

Metabolic traits affect ischemic stroke (IS) risk, but the degree to which this varies across different ethnic ancestries is not known. Our aim was to apply Mendelian randomization to investigate the causal effects of type 2 diabetes (T2D) liability and lipid traits on IS risk in African ancestry individuals, and to compare them to estimates obtained in European ancestry individuals.

METHODS:

For African ancestry individuals, genetic proxies for T2D liability and circulating lipids were obtained from a meta-analysis of the African Partnership for Chronic Disease Research study, the UK Biobank, and the Million Veteran Program (total N=77 061). Genetic association estimates for IS risk were obtained from the Consortium of Minority Population Genome-Wide Association Studies of Stroke (3734 cases and 18 317 controls). For European ancestry individuals, genetic proxies for the same metabolic traits were obtained from Million Veteran Program (lipids N=297 626, T2D N=148 726 cases, and 965 732 controls), and genetic association estimates for IS risk were obtained from the MEGASTROKE study (34 217 cases and 406 111 controls). Random-effects inverse-variance weighted Mendelian randomization was used as the main method, complemented with sensitivity analyses more robust to pleiotropy.

RESULTS:

Higher genetically proxied T2D liability, LDL-C (low-density lipoprotein cholesterol), total cholesterol and lower genetically proxied HDL-C (high-density lipoprotein cholesterol) were associated with increased risk of IS in African ancestry individuals (odds ratio per doubling the odds of T2D liability [95% CI], 1.09 [1.07-1.11]; per standard-deviation increase in LDL-C, 1.12 [1.04-1.21]; total cholesterol 1.23 [1.06-1.43]; HDL-C, 0.93 [0.89-0.99]). There was no evidence for differences in these estimates when performing analyses in European ancestry individuals.

CONCLUSIONS:

Our analyses support a causal effect of T2D liability and lipid traits on IS risk in African ancestry individuals, with Mendelian randomization estimates similar to those obtained in European ancestry individuals.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / População Negra / Análise da Randomização Mendeliana Tipo de estudo: Clinical_trials / Etiology_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / População Negra / Análise da Randomização Mendeliana Tipo de estudo: Clinical_trials / Etiology_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article