This application requests support to establish the """"""""Type 1 Diabetes Genetics Consortium"""""""". The goal of the Consortium is to organize international efforts to identify genes that determine an individual's risk for type 1 diabetes. A resource base of well-characterized families is proposed that will facilitate the localization and characterization of type 1diabetes genes that determine disease risk. Statistical genetic analyses will determine how these regions act in order to facilitate mapping and localization. Using the Consortium resources, members and collaborators of the Consortium will undertake positional cloning to identify individual genes that determine susceptibility or protection. Based upon current analyses of three completed genome screens, non-HLA region genes may individually contribute relatively small (but significant) increments in genetic risk (?s ?1.12-1.30). Power analyses suggest that ?4300 affected sib-pair families will be required to achieve 90% power for suggestive evidence for linkage at these levels of locus-specific risk. Current genome scan data exist on 1200 families. Over 600 affected sib-pair families have samples waiting genome scanning in other collections (United Kingdom, Finland, HBDI, Australia and Sardinia), and a request for the genome scan on these families has been submitted to CIDR. In order to meet the target of 4300 affected sib-pair families for linkage, a new collection of 2500 affected sib-pair families is required. In order to establish this combined resource of 4300 families and to carry out an appropriately powered search for type 1 diabetes susceptibility genes, a series of specific aims are proposed to fully utilize and update existing materials and to collect new clinical resources.
The specific aims of this study are to (1) newly ascertain 2500 affected sib-pair families through a European network (1200), an Australasian network (200), and a US network (1100) using standardized protocols; (2) collect, peripheral blood and establish lymphoblastoid cell lines (LCLs) to provide a renewable source of genomic DNA, RNA, protein and cells, to enable future studies of immune function; (3) genotype HLA class ?? and class ? genes (DRB 1, DQB 1, DPB 1, DPAI, A, B, C), INS, and CTLA4 polymorphisms as recognized type 1 diabetes genetic risk factors. (4) carry out disease association analyses using existing single case families (trios, including an unaffected sibling when available) and cases and controls; (5) use an informative haplotype based map of (haplotype-tagged) SNPs to systematically and efficiently refine locations for detecting type 1 diabetes loci. Further genetic analyses to identify and confirm candidate genes (using haplotype-tagged SNPs) will require joint investigation by Consortium laboratories and supplemental support using Consortium material (DNA, data). The ultimate goal of this application is to provide the fundamental clinical and genetic resources to achieve the necessary sample size and sample availability for gene identification. The Consortium will establish a mechanism to ensure that scientists will work together toward a better understanding of the genetic factors that underlie risk of type 1 diabetes. The Consortium will gain a better understanding of disease mechanisms, with a purpose of altering these mechanisms and pathways in individuals at risk of type 1 diabetes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01DK062418-01
Application #
6544856
Study Section
Special Emphasis Panel (ZDK1-GRB-8 (M3))
Program Officer
Akolkar, Beena
Project Start
2002-09-15
Project End
2007-08-31
Budget Start
2002-09-15
Budget End
2003-08-31
Support Year
1
Fiscal Year
2002
Total Cost
$4,388,770
Indirect Cost
Name
Wake Forest University Health Sciences
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
937727907
City
Winston-Salem
State
NC
Country
United States
Zip Code
27157
Hinks, Anne; Marion, Miranda C; Cobb, Joanna et al. (2018) Brief Report: The Genetic Profile of Rheumatoid Factor-Positive Polyarticular Juvenile Idiopathic Arthritis Resembles That of Adult Rheumatoid Arthritis. Arthritis Rheumatol 70:957-962
Inshaw, Jamie R J; Walker, Neil M; Wallace, Chris et al. (2018) The chromosome 6q22.33 region is associated with age at diagnosis of type 1 diabetes and disease risk in those diagnosed under 5 years of age. Diabetologia 61:147-157
Frohnert, Brigitte I; Laimighofer, Michael; Krumsiek, Jan et al. (2018) Prediction of type 1 diabetes using a genetic risk model in the Diabetes Autoimmunity Study in the Young. Pediatr Diabetes 19:277-283
Sharp, Seth A; Weedon, Michael N; Hagopian, William A et al. (2018) Clinical and research uses of genetic risk scores in type 1 diabetes. Curr Opin Genet Dev 50:96-102
Roshandel, Delnaz; Gubitosi-Klug, Rose; Bull, Shelley B et al. (2018) Meta-genome-wide association studies identify a locus on chromosome 1 and multiple variants in the MHC region for serum C-peptide in type 1 diabetes. Diabetologia 61:1098-1111
Burren, Oliver S; Rubio García, Arcadio; Javierre, Biola-Maria et al. (2017) Chromosome contacts in activated T cells identify autoimmune disease candidate genes. Genome Biol 18:165
Zhang, Chenan; de Smith, Adam J; Smirnov, Ivan V et al. (2017) Non-additive and epistatic effects of HLA polymorphisms contributing to risk of adult glioma. J Neurooncol 135:237-244
Justice, Anne E (see original citation for additional authors) (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 8:14977
Rich, Stephen S (2017) Genetics and its potential to improve type 1 diabetes care. Curr Opin Endocrinol Diabetes Obes 24:279-284
Hinks, A; Bowes, J; Cobb, J et al. (2017) Fine-mapping the MHC locus in juvenile idiopathic arthritis (JIA) reveals genetic heterogeneity corresponding to distinct adult inflammatory arthritic diseases. Ann Rheum Dis 76:765-772

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