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Peripheral Blood Transcriptomic Signatures of Fasting Glucose and Insulin Concentrations.
Chen, Brian H; Hivert, Marie-France; Peters, Marjolein J; Pilling, Luke C; Hogan, John D; Pham, Lisa M; Harries, Lorna W; Fox, Caroline S; Bandinelli, Stefania; Dehghan, Abbas; Hernandez, Dena G; Hofman, Albert; Hong, Jaeyoung; Joehanes, Roby; Johnson, Andrew D; Munson, Peter J; Rybin, Denis V; Singleton, Andrew B; Uitterlinden, André G; Ying, Saixia; Melzer, David; Levy, Daniel; van Meurs, Joyce B J; Ferrucci, Luigi; Florez, Jose C; Dupuis, Josée; Meigs, James B; Kolaczyk, Eric D.
Afiliação
  • Chen BH; Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD.
  • Hivert MF; Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA.
  • Peters MJ; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD.
  • Pilling LC; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA.
  • Hogan JD; Diabetes Research Center, Department of Medicine, Massachusetts General Hospital, Boston, MA.
  • Pham LM; Department of Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
  • Harries LW; Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Fox CS; Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden and Rotterdam, the Netherlands.
  • Bandinelli S; Epidemiology and Public Health Group, Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K.
  • Dehghan A; Program in Bioinformatics, Boston University, Boston, MA.
  • Hernandez DG; Program in Bioinformatics, Boston University, Boston, MA.
  • Hofman A; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K.
  • Hong J; Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA.
  • Joehanes R; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD.
  • Johnson AD; Geriatric Rehabilitation Unit, Azienda Sanitaria di Firenze, Florence, Italy.
  • Munson PJ; Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Rybin DV; Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD.
  • Singleton AB; Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Uitterlinden AG; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Ying S; Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA.
  • Melzer D; Hebrew SeniorLife, Harvard Medical School, Boston, MA.
  • Levy D; Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA.
  • van Meurs JB; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD.
  • Ferrucci L; Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD.
  • Florez JC; Data Coordinating Center, Boston University, Boston, MA.
  • Dupuis J; Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD.
  • Meigs JB; Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Kolaczyk ED; Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden and Rotterdam, the Netherlands.
Diabetes ; 65(12): 3794-3804, 2016 Dec.
Article em En | MEDLINE | ID: mdl-27625022
ABSTRACT
Genome-wide association studies (GWAS) have successfully identified genetic loci associated with glycemic traits. However, characterizing the functional significance of these loci has proven challenging. We sought to gain insights into the regulation of fasting insulin and fasting glucose through the use of gene expression microarray data from peripheral blood samples of participants without diabetes in the Framingham Heart Study (FHS) (n = 5,056), the Rotterdam Study (RS) (n = 723), and the InCHIANTI Study (Invecchiare in Chianti) (n = 595). Using a false discovery rate q <0.05, we identified three transcripts associated with fasting glucose and 433 transcripts associated with fasting insulin levels after adjusting for age, sex, technical covariates, and complete blood cell counts. Among the findings, circulating IGF2BP2 transcript levels were positively associated with fasting insulin in both the FHS and RS. Using 1000 Genomes-imputed genotype data, we identified 47,587 cis-expression quantitative trait loci (eQTL) and 6,695 trans-eQTL associated with the 433 significant insulin-associated transcripts. Of note, we identified a trans-eQTL (rs592423), where the A allele was associated with higher IGF2BP2 levels and with fasting insulin in an independent genetic meta-analysis comprised of 50,823 individuals. We conclude that integration of genomic and transcriptomic data implicate circulating IGF2BP2 mRNA levels associated with glucose and insulin homeostasis.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Jejum / Transcriptoma / Insulina Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabetes Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Moldávia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Jejum / Transcriptoma / Insulina Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabetes Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Moldávia