Tests for Genetic Interactions in Type 1 Diabetes

Author:

Morahan Grant12,Mehta Munish12,James Ian3,Chen Wei-Min4,Akolkar Beena5,Erlich Henry A.6,Hilner Joan E.7,Julier Cécile89,Nerup Jørn10,Nierras Concepcion11,Pociot Flemming12,Todd John A.13,Rich Stephen S.4,

Affiliation:

1. Centre for Diabetes Research, Western Australian Institute for Medical Research, University of Western Australia, Crawley, Australia

2. Centre for Medical Research, University of Western Australia, Crawley, Australia

3. Centre for Clinical Immunology and Biomedical Statistics, Murdoch University, Perth, Australia

4. Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia

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

6. Roche Molecular Systems, Pleasanton, California

7. Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama

8. INSERM UMR-S 958, Faculté de Médecine Denis-Diderot, Paris, France the

9. University Paris 7, Paris, France

10. Steno Diabetes Center, Gentofte, Denmark

11. Juvenile Diabetes Research Foundation, New York, New York

12. Science Park, University Hospital Glostrup, Glostrup, Denmark

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

Abstract

OBJECTIVE Interactions between genetic and environmental factors lead to immune dysregulation causing type 1 diabetes and other autoimmune disorders. Recently, many common genetic variants have been associated with type 1 diabetes risk, but each has modest individual effects. Familial clustering of type 1 diabetes has not been explained fully and could arise from many factors, including undetected genetic variation and gene interactions. RESEARCH DESIGN AND METHODS To address this issue, the Type 1 Diabetes Genetics Consortium recruited 3,892 families, including 4,422 affected sib-pairs. After genotyping 6,090 markers, linkage analyses of these families were performed, using a novel method and taking into account factors such as genotype at known susceptibility loci. RESULTS Evidence for linkage was robust at the HLA and INS loci, with logarithm of odds (LOD) scores of 398.6 and 5.5, respectively. There was suggestive support for five other loci. Stratification by other risk factors (including HLA and age at diagnosis) identified one convincing region on chromosome 6q14 showing linkage in male subjects (corrected LOD = 4.49; replication P = 0.0002), a locus on chromosome 19q in HLA identical siblings (replication P = 0.006), and four other suggestive loci. CONCLUSIONS This is the largest linkage study reported for any disease. Our data indicate there are no major type 1 diabetes subtypes definable by linkage analyses; susceptibility is caused by actions of HLA and an apparently random selection from a large number of modest-effect loci; and apart from HLA and INS, there is no important susceptibility factor discoverable by linkage methods.

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

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