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Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.
Wheeler, Eleanor; Leong, Aaron; Liu, Ching-Ti; Hivert, Marie-France; Strawbridge, Rona J; Podmore, Clara; Li, Man; Yao, Jie; Sim, Xueling; Hong, Jaeyoung; Chu, Audrey Y; Zhang, Weihua; Wang, Xu; Chen, Peng; Maruthur, Nisa M; Porneala, Bianca C; Sharp, Stephen J; Jia, Yucheng; Kabagambe, Edmond K; Chang, Li-Ching; Chen, Wei-Min; Elks, Cathy E; Evans, Daniel S; Fan, Qiao; Giulianini, Franco; Go, Min Jin; Hottenga, Jouke-Jan; Hu, Yao; Jackson, Anne U; Kanoni, Stavroula; Kim, Young Jin; Kleber, Marcus E; Ladenvall, Claes; Lecoeur, Cecile; Lim, Sing-Hui; Lu, Yingchang; Mahajan, Anubha; Marzi, Carola; Nalls, Mike A; Navarro, Pau; Nolte, Ilja M; Rose, Lynda M; Rybin, Denis V; Sanna, Serena; Shi, Yuan; Stram, Daniel O; Takeuchi, Fumihiko; Tan, Shu Pei; van der Most, Peter J; Van Vliet-Ostaptchouk, Jana V.
Afiliação
  • Wheeler E; Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom.
  • Leong A; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
  • Liu CT; Harvard Medical School, Boston, MA, United States of America.
  • Hivert MF; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
  • Strawbridge RJ; Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, United States of America.
  • Podmore C; Massachusetts General Hospital, Boston, MA, United States of America.
  • Li M; Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
  • Yao J; Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden.
  • Sim X; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
  • Hong J; Department of Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
  • Chu AY; Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
  • Zhang W; Division of Nephrology, University of Utah, Salt Lake City, UT, United States of America.
  • Wang X; Department of Human Genetics, University of Utah, Salt Lake City, UT, United States of America.
  • Chen P; Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America.
  • Maruthur NM; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Porneala BC; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
  • Sharp SJ; National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States of America.
  • Jia Y; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America.
  • Kabagambe EK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
  • Chang LC; Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom.
  • Chen WM; Life Sciences Institute, National University of Singapore, Singapore, Singapore.
  • Elks CE; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Evans DS; Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, United States of America.
  • Fan Q; Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China.
  • Giulianini F; College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
  • Go MJ; Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
  • Hottenga JJ; Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
  • Hu Y; Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD, United States of America.
  • Jackson AU; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
  • Kanoni S; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
  • Kim YJ; Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America.
  • Kleber ME; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America.
  • Ladenvall C; Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
  • Lecoeur C; University of Virginia Center for Public Health Genomics, Charlottesville, VA, United States of America.
  • Lim SH; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
  • Lu Y; Personalised Healthcare & Biomarkers, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, United Kingdom.
  • Mahajan A; California Pacific Medical Center Research Institute, San Francisco, CA, United States of America.
  • Marzi C; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Nalls MA; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America.
  • Navarro P; Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea.
  • Nolte IM; Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Rose LM; The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China.
  • Rybin DV; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America.
  • Sanna S; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
  • Shi Y; Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea.
  • Stram DO; Vth Department of Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
  • Takeuchi F; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
  • Tan SP; Lund University Diabetes Centre, Lund University, Lund, Sweden.
  • van der Most PJ; University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199-EGID, Lille, France.
  • Van Vliet-Ostaptchouk JV; Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore.
PLoS Med ; 14(9): e1002383, 2017 Sep.
Article em En | MEDLINE | ID: mdl-28898252
ABSTRACT

BACKGROUND:

Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes. METHODS &

FINDINGS:

Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.

CONCLUSIONS:

As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Hemoglobinas Glicadas / Diabetes Mellitus Tipo 2 / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: PLoS Med Assunto da revista: MEDICINA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Hemoglobinas Glicadas / Diabetes Mellitus Tipo 2 / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: PLoS Med Assunto da revista: MEDICINA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido