A genome-wide association search for type 2 diabetes genes in African Americans

  • Nicholette D Palmer
  • , Caitrin W McDonough
  • , Pamela J Hicks
  • , Bong H Roh
  • , Maria R Wing
  • , S Sandy An
  • , Jessica M Hester
  • , Jessica N Cooke
  • , Meredith A Bostrom
  • , Megan E Rudock
  • , Matthew E Talbert
  • , Joshua P Lewis
  • , Assiamira Ferrara
  • , Lingyi Lu
  • , Julie T Ziegler
  • , Michele M Sale
  • , Jasmin Divers
  • , Daniel Shriner
  • , Adebowale Adeyemo
  • , Charles N Rotimi
  • Maggie C Y Ng, Carl D Langefeld, Barry I Freedman, Donald W Bowden, DIAGRAM Consortium, MAGIC Investigators

    Research output: Contribution to journalArticlepeer-review

    149 Citations (Scopus)

    Abstract

    African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n?=?550 independent loci) were genotyped in a replication cohort and 122 SNPs (n?=?98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P
    Original languageEnglish
    Pages (from-to)e29202
    JournalPLoS ONE
    Volume7
    Issue number1
    DOIs
    Publication statusPublished - 2012

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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