CNV Analysis Associates AKNAD1 with Type-2 Diabetes in Jordan Subpopulations

  • Rana Dajani
  • , Jin Li
  • , Zhi Wei
  • , Joseph T. Glessner
  • , Xiao Chang
  • , Christopher J. Cardinale
  • , Renata Pellegrino
  • , Tiancheng Wang
  • , Nancy Hakooz
  • , Yousef Khader
  • , Amina Sheshani
  • , Duaa Zandaki
  • , Hakon Hakonarson

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Previous studies have identified a number of single nucleotide polymorphisms (SNPs) associated with type-2 diabetes (T2D), but copy number variation (CNV) association has rarely been addressed, especially in populations from Jordan. To investigate CNV associations for T2D in populations in Jordan, we conducted a CNV analysis based on intensity data from genome-wide SNP array, including 34 T2D cases and 110 healthy controls of Chechen ethnicity, as well as 34 T2D cases and 106 healthy controls of Circassian ethnicity. We found a CNV region in protein tyrosine phosphatase receptor type D (PTPRD) with significant association with T2D. PTPRD has been reported to be associated with T2D in genome-wide association studies (GWAS). We additionally identified 16 CNV regions associated with T2D which overlapped with gene exons. Of particular interest, a CNV region in the gene AKNA Domain Containing 1 (AKNAD1) surpassed the experiment-wide significance threshold. Endoplasmic reticulum (ER)-related pathways were significantly enriched among genes which are predicted to be functionally associated with human or mouse homologues of AKNAD1. This is the first CNV analysis of a complex disease in populations of Jordan. We identified and experimentally validated a significant CNVR in gene AKNAD1 associated with T2D.

Original languageEnglish (US)
Article number13391
JournalScientific reports
Volume5
DOIs
StatePublished - Aug 21 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General

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