Low Frequency Variants in the Exons Only Encoding Isoform A of HNF1A Do Not Contribute to Susceptibility to Type 2 Diabetes

Background There is considerable interest in the hypothesis that low frequency, intermediate penetrance variants contribute to the proportion of Type 2 Diabetes (T2D) susceptibility not attributable to the common variants uncovered through genome-wide association approaches. Genes previously implicated in monogenic and multifactorial forms of diabetes are obvious candidates in this respect. In this study, we focussed on exons 8–10 of the HNF1A gene since rare, penetrant mutations in these exons (which are only transcribed in selected HNF1A isoforms) are associated with a later age of diagnosis of Maturity onset diabetes of the young (MODY) than mutations in exons 1–7. The age of diagnosis in the subgroup of HNF1A-MODY individuals with exon 8–10 mutations overlaps with that of early multifactorial T2D, and we set out to test the hypothesis that these exons might also harbour low-frequency coding variants of intermediate penetrance that contribute to risk of multifactorial T2D. Methodology and Principal Findings We performed targeted capillary resequencing of HNF1A exons 8–10 in 591 European T2D subjects enriched for genetic aetiology on the basis of an early age of diagnosis (≤45 years) and/or family history of T2D (≥1 affected sibling). PCR products were sequenced and compared to the published HNF1A sequence. We identified several variants (rs735396 [IVS9−24T>C], rs1169304 [IVS8+29T>C], c.1768+44C>T [IVS9+44C>T] and rs61953349 [c.1545G>A, p.T515T] but no novel non-synonymous coding variants were detected. Conclusions and Significance We conclude that low frequency, nonsynonymous coding variants in the terminal exons of HNF1A are unlikely to contribute to T2D-susceptibility in European samples. Nevertheless, the rationale for seeking low-frequency causal variants in genes known to contain rare, penetrant mutations remains strong and should motivate efforts to screen other genes in a similar fashion.

[1]  B. Shields,et al.  Semi-automated unidirectional sequence analysis for mutation detection in a clinical diagnostic setting. , 2009, Genetic testing and molecular biomarkers.

[2]  Mark I. McCarthy,et al.  Assessing the Combined Impact of 18 Common Genetic Variants of Modest Effect Sizes on Type 2 Diabetes Risk , 2008, Diabetes.

[3]  Hanlee P. Ji,et al.  Next-generation DNA sequencing , 2008, Nature Biotechnology.

[4]  M. McCarthy,et al.  Genome-wide association studies for complex traits: consensus, uncertainty and challenges , 2008, Nature Reviews Genetics.

[5]  M. McCarthy,et al.  Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes , 2008, Nature Genetics.

[6]  S. Ellard,et al.  Best practice guidelines for the molecular genetic diagnosis of maturity-onset diabetes of the young , 2008, Diabetologia.

[7]  Simon C. Potter,et al.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.

[8]  M. McCarthy,et al.  Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes , 2007, Science.

[9]  Marcia M. Nizzari,et al.  Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels , 2007, Science.

[10]  G. Abecasis,et al.  A Genome-Wide Association Study of Type 2 Diabetes in Finns Detects Multiple Susceptibility Variants , 2007, Science.

[11]  Kristin G Ardlie,et al.  Evaluation of Common Variants in the Six Known Maturity-Onset Diabetes of the Young (MODY) Genes for Association With Type 2 Diabetes , 2007, Diabetes.

[12]  T. Hudson,et al.  A genome-wide association study identifies novel risk loci for type 2 diabetes , 2007, Nature.

[13]  J. Hugot CARD15/NOD2 Mutations in Crohn's Disease , 2006, Annals of the New York Academy of Sciences.

[14]  A. Hattersley,et al.  Isomers of the TCF1 gene encoding hepatocyte nuclear factor-1 alpha show differential expression in the pancreas and define the relationship between mutation position and clinical phenotype in monogenic diabetes. , 2006, Human molecular genetics.

[15]  M. Jadoul,et al.  Large genomic rearrangements in the hepatocyte nuclear factor-1beta (TCF2) gene are the most frequent cause of maturity-onset diabetes of the young type 5. , 2005, Diabetes.

[16]  Kristin G Ardlie,et al.  Association of common variation in the HNF1alpha gene region with risk of type 2 diabetes. , 2005, Diabetes.

[17]  M. McCarthy,et al.  A large-scale association analysis of common variation of the HNF1alpha gene with type 2 diabetes in the U.K. Caucasian population. , 2005, Diabetes.

[18]  B. Zinman,et al.  HNF-1α G319S, a transactivation-deficient mutant, is associated with altered dynamics of diabetes onset in an Oji-Cree community , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[19]  R Foxon,et al.  A genomewide scan for loci predisposing to type 2 diabetes in a U.K. population (the Diabetes UK Warren 2 Repository): analysis of 573 pedigrees provides independent replication of a susceptibility locus on chromosome 1q. , 2001, American journal of human genetics.

[20]  T. Frayling,et al.  beta-cell genes and diabetes: molecular and clinical characterization of mutations in transcription factors. , 2001, Diabetes.

[21]  B. Zinman,et al.  The hepatic nuclear factor-1alpha G319S variant is associated with early-onset type 2 diabetes in Canadian Oji-Cree. , 1999, The Journal of clinical endocrinology and metabolism.

[22]  P. Bingley,et al.  Prediction of IDDM in the General Population: Strategies Based on Combinations of Autoantibody Markers , 1997, Diabetes.

[23]  M. Yaniv,et al.  More potent transcriptional activators or a transdominant inhibitor of the HNF1 homeoprotein family are generated by alternative RNA processing. , 1993, The EMBO journal.

[24]  K. Mossman The Wellcome Trust Case Control Consortium, U.K. , 2008 .

[25]  Wj Gauderman,et al.  QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies , 2006 .