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Erik Renström

Erik Renström


Erik Renström

Unique splicing pattern of the TCF7L2 gene in human pancreatic islets.


  • Peter Osmark
  • Ola Hansson
  • Anna Jonsson
  • Tina Rönn
  • Leif Groop
  • Erik Renström

Summary, in English

AIMS/HYPOTHESIS: Intronic variation in the TCF7L2 gene exhibits the strongest association to type 2 diabetes observed to date, but the mechanism whereby this genetic variation translates into altered biological function is largely unknown. A possible explanation is a genotype-dependent difference in the complex splicing pattern; however, this has not previously been characterised in pancreatic or insulin target tissues. Here, the detailed TCF7L2 splicing pattern in five human tissues is described and dependence on risk genotype explored. METHODS: RT-PCR and quantitative real-time PCR were employed to characterise TCF7L2 splicing in pancreatic islets, blood lymphocytes, skeletal muscle and subcutaneous and visceral adipose tissue from non-diabetic individuals. RESULTS: The mapping of TCF7L2 splice variants shows a specific pattern in pancreatic islets, with four predominant transcripts and high usage of the variable exons 4 and 15. The overall concentration of TCF7L2 mRNA is highest in islets and fat and lower in blood and muscle. No significant difference in overall amount or splicing pattern was observed between carriers and non-carriers of the rs7903146 risk (T) allele. However, incorporation of exon 4 in islets correlates positively with plasma HbA(1c) levels (r = 0.758; p = 0.018). CONCLUSIONS/INTERPRETATION: There were pronounced tissue-specific differences in the splicing of TCF7L2 with forms containing exon 4 and 15 being most abundant in islets. The incorporation of exon 4 in islets correlated with HbA(1c) levels. Further experiments will be needed to determine the direction of this correlation, and larger cohorts needed to unequivocally resolve whether there is a relationship between genotype and splicing in islets.


  • Molecular Endocrinology
  • Genomics, Diabetes and Endocrinology
  • Diabetes - Epigenetics
  • Diabetes - Islet Patophysiology

Publishing year










Document type

Journal article




  • Endocrinology and Diabetes



Research group

  • Molecular Endocrinology
  • Genomics, Diabetes and Endocrinology
  • Diabetes - Epigenetics
  • Diabetes - Islet Patophysiology


  • ISSN: 1432-0428