Insulin-dependent diabetes has a complex origin involving both environmental and genetic risk factors. Studies of identical twins, families with affected members, and unrelated IDDM patients indicate that susceptibility to IDDM results from environmental factors and the action of several (possibly interactive) genes. Numerous studies have documented the role of the HLA locus in IDDM susceptibility, and recent evidence strongly suggests that a second susceptibility locus exists near the insulin gene on chromosome 11. However, genetic studies in animal models which reveal as many as 5 predisposing genes, and sporadic reports of population based associations between candidate genes and IDDM suggest that additional susceptibility loci exist in humans. At this time, the number of these genes, their locations, and possible roles in IDDM are unknown. The goal of this application is to use the tools of genetic linkage analysis to identify, or exclude the existence of, such susceptibility genes. Accordingly, we propose to study 200 multiplex IDDM families with microsatellite polymorphisms spaced 10-20 cM apart throughout the genome for evidence of linkage to IDDM. In regions where linkage is detected, we will use physical mapping and cloning strategies to identify putative IDDM susceptibility genes. In regions where linkage is not detected, we will be able to assign confidence limits to our exclusion of an IDDM susceptibility gene. The work involved in mapping the entire human genome for IDDM susceptibility genes is prodigious. In order to complete this project in a timely and efficient manner, we have formed a collaboration with 3 other investigators with whom we are submitting coordinated R01 applications. This group of investigators (R. Spielman and N. Risch, co-investigators; G. Bell, and P. Concannon) will divide the task of screening the human genome, maintain a central database for the storage and analysis of all genotype information, freely share all reagents and data, and co-author all publications. While any one of these laboratories could carry out the proposed experiments independently, this collaboration should greatly speed the rate at which our goal of mapping IDDM susceptibility genes in the human can be achieved.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK046635-03
Application #
2145899
Study Section
Diabetes, Endocrinology and Metabolic Diseases B Subcommittee (DDK)
Project Start
1993-05-01
Project End
1998-04-30
Budget Start
1995-05-01
Budget End
1996-04-30
Support Year
3
Fiscal Year
1995
Total Cost
Indirect Cost
Name
Benaroya Research Institute at Virginia Mason
Department
Type
DUNS #
City
Seattle
State
WA
Country
United States
Zip Code
98101
Gorman, Jacquelyn A; Hundhausen, Christian; Errett, John S et al. (2017) The A946T variant of the RNA sensor IFIH1 mediates an interferon program that limits viral infection but increases the risk for autoimmunity. Nat Immunol 18:744-752
Ge, Yan; Paisie, Taylor K; Newman, Jeremy R B et al. (2017) UBASH3A Mediates Risk for Type 1 Diabetes Through Inhibition of T-Cell Receptor-Induced NF-?B Signaling. Diabetes 66:2033-2043
Ge, Yan; Onengut-Gumuscu, Suna; Quinlan, Aaron R et al. (2016) Targeted Deep Sequencing in Multiple-Affected Sibships of European Ancestry Identifies Rare Deleterious Variants in PTPN22 That Confer Risk for Type 1 Diabetes. Diabetes 65:794-802
Onengut-Gumuscu, Suna; Chen, Wei-Min; Burren, Oliver et al. (2015) Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. Nat Genet 47:381-6
Evangelou, Marina; Smyth, Deborah J; Fortune, Mary D et al. (2014) A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations. Genet Epidemiol 38:661-70
Fløyel, Tina; Brorsson, Caroline; Nielsen, Lotte B et al. (2014) CTSH regulates ?-cell function and disease progression in newly diagnosed type 1 diabetes patients. Proc Natl Acad Sci U S A 111:10305-10
Tomlinson 4th, M Joseph; Pitsillides, Achilleas; Pickin, Rebecca et al. (2014) Fine mapping and functional studies of risk variants for type 1 diabetes at chromosome 16p13.13. Diabetes 63:4360-8
Howson, Joanna M M; Cooper, Jason D; Smyth, Deborah J et al. (2012) Evidence of gene-gene interaction and age-at-diagnosis effects in type 1 diabetes. Diabetes 61:3012-7
Evanko, Stephen P; Potter-Perigo, Susan; Bollyky, Paul L et al. (2012) Hyaluronan and versican in the control of human T-lymphocyte adhesion and migration. Matrix Biol 31:90-100
Bollyky, Paul L; Bogdani, Marika; Bollyky, Jennifer B et al. (2012) The role of hyaluronan and the extracellular matrix in islet inflammation and immune regulation. Curr Diab Rep 12:471-80

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