Genome-Wide Scan for Linkage to Type 1 Diabetes in 2,496 Multiplex Families From the Type 1 Diabetes Genetics Consortium

Author:

Concannon Patrick12,Chen Wei-Min23,Julier Cécile4,Morahan Grant5,Akolkar Beena6,Erlich Henry A.7,Hilner Joan E.8,Nerup Jørn9,Nierras Concepcion10,Pociot Flemming9,Todd John A.11,Rich Stephen S.2,

Affiliation:

1. Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia;

2. Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia;

3. Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, Virginia;

4. INSERM U730, Centre National de Génotypage, Evry, France;

5. Centre for Diabetes Research, The Western Australian Institute for Medical Research and Centre for Medical Research, University of Western Australia, Perth, Australia;

6. Division of Diabetes, Endocrinology, and Metabolic Diseases, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;

7. Roche Molecular Systems, Pleasanton, California;

8. Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina;

9. Steno Diabetes Center, Gentofte, Denmark;

10. Juvenile Diabetes Research Foundation, New York, New York;

11. Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, U.K.

Abstract

OBJECTIVE Type 1 diabetes arises from the actions of multiple genetic and environmental risk factors. Considerable success at identifying common genetic variants that contribute to type 1 diabetes risk has come from genetic association (primarily case-control) studies. However, such studies have limited power to detect genes containing multiple rare variants that contribute significantly to disease risk. RESEARCH DESIGN AND METHODS The Type 1 Diabetes Genetics Consortium (T1DGC) has assembled a collection of 2,496 multiplex type 1 diabetic families from nine geographical regions containing 2,658 affected sib-pairs (ASPs). We describe the results of a genome-wide scan for linkage to type 1 diabetes in the T1DGC family collection. RESULTS Significant evidence of linkage to type 1 diabetes was confirmed at the HLA region on chromosome 6p21.3 (logarithm of odds [LOD] = 213.2). There was further evidence of linkage to type 1 diabetes on 6q that could not be accounted for by the major linkage signal at the HLA class II loci on chromosome 6p21. Suggestive evidence of linkage (LOD ≥2.2) was observed near CTLA4 on chromosome 2q32.3 (LOD = 3.28) and near INS (LOD = 3.16) on chromosome 11p15.5. Some evidence for linkage was also detected at two regions on chromosome 19 (LOD = 2.84 and 2.54). CONCLUSIONS Five non–HLA chromosome regions showed some evidence of linkage to type 1 diabetes. A number of previously proposed type 1 diabetes susceptibility loci, based on smaller ASP numbers, showed limited or no evidence of linkage to disease. Low-frequency susceptibility variants or clusters of loci with common alleles could contribute to the linkage signals observed.

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

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