Current status and the future for the genetics of type I diabetes
| Autor: | John A. Todd, Flemming Pociot, J Nerup, Beena Akolkar, Grant Morahan, Stephen S. Rich, Joan E. Hilner, Cécile Julier, Patrick Concannon, Concepcion Nierras, Henry A. Erlich |
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| Rok vydání: | 2009 |
| Předmět: |
Linkage (software)
Genetics Candidate gene Genotype endocrine system diseases Plasma samples Immunology Genetic Variation Genome-wide association study Human leukocyte antigen Biology Article Structural variation Diabetes Mellitus Type 1 HLA Antigens Risk Factors Humans Type i diabetes Genetic Predisposition to Disease Genetics (clinical) Gene Discovery Genome-Wide Association Study |
| Zdroj: | Genes & Immunity. 10:S128-S131 |
| ISSN: | 1476-5470 1466-4879 |
| DOI: | 10.1038/gene.2009.100 |
| Popis: | The Type I Diabetes Genetics Consortium (T1DGC) is an international collaboration whose primary goal is to identify genes whose variants modify an individual's risk of type I diabetes (T1D). An integral part of the T1DGC's mission is the establishment of clinical and data resources that can be used by, and that are fully accessible to, the T1D research community ( http://www.t1dgc.org ). The T1DGC has organized the collection and analyses of study samples and conducted several major research projects focused on T1D gene discovery: a genome-wide linkage scan, an intensive evaluation of the human major histocompatibility complex, a detailed examination of published candidate genes, and a genome-wide association scan. These studies have provided important information to the scientific community regarding the function of specific genes or chromosomal regions on T1D risk. The results are continually being updated and displayed ( http://www.t1dbase.org ). The T1DGC welcomes all investigators interested in using these data for scientific endeavors on T1D. The T1DGC resources provide a framework for future research projects, including examination of structural variation, re-sequencing of candidate regions in a search for T1D-associated genes and causal variants, correlation of T1D risk genotypes with biomarkers obtained from T1DGC serum and plasma samples, and in-depth bioinformatics analyses. |
| Databáze: | OpenAIRE |
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