The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Leif Groop

Leif Groop

Principal investigator

Leif Groop

Functional investigations of HNF1A identify rare variants as risk factors for type 2 diabetes in the general population

Author

  • Laeya Abdoli Najmi
  • Ingvild Aukrust
  • Jason Flannick
  • Janne Molnes
  • Noel Burtt
  • Anders Molven
  • Leif Groop
  • David Altshuler
  • Stefan Johansson
  • Lise Bjørkhaug
  • Pål Rasmus Njølstad

Summary, in English

Variants in HNF1A encoding hepatocyte nuclear factor 1a (HNF-1A) are associated with maturity-onset diabetes of the young form 3 (MODY 3) and type 2 diabetes. We investigated whether functional classification of HNF1A rare coding variants can inform models of diabetes risk prediction in the general population by analyzing the effect of 27 HNF1A variants identified in well-phenotyped populations (n = 4,115). Bioinformatics tools classified 11 variants as likely pathogenic and showed no association with diabetes risk (combined minor allele frequency [MAF] 0.22%; odds ratio [OR] 2.02; 95% CI 0.73-5.60; P = 0.18). However, a different set of 11 variants that reduced HNF-1A transcriptional activity to <60% of normal (wild-type) activity was strongly associated with diabetes in the general population (combined MAF 0.22%; OR 5.04; 95% CI 1.99-12.80; P = 0.0007). Our functional investigations indicate that 0.44% of the population carry HNF1A variants that result in a substantially increased risk for developing diabetes. These results suggest that functional characterization of variants within MODY genes may overcome the limitations of bioinformatics tools for the purposes of presymptomatic diabetes risk prediction in the general population.

Department/s

  • Genomics, Diabetes and Endocrinology
  • EXODIAB: Excellence of Diabetes Research in Sweden

Publishing year

2017-02-01

Language

English

Pages

335-346

Publication/Series

Diabetes

Volume

66

Issue

2

Document type

Journal article

Publisher

American Diabetes Association Inc.

Topic

  • Endocrinology and Diabetes

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Other

  • ISSN: 0012-1797