Genetic analysis of type II diabetes in Finnish population
Genetic analysis of type II diabetes in Finnish population
批准号:
7968834
负责人:
Lawrence C Brody
金额:
$223.75万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至
关键词:
AdultAllelesAlternative SplicingAutomobile DrivingBiochemicalBiological AssayBlood PressureCell Culture TechniquesCessation of lifeChromatin StructureChronic DiseaseCollectionDataDiabetes MellitusDiagnosisDietDiseaseEnvironmental Risk FactorFamilyFinlandGene ExpressionGenetic Predisposition to DiseaseGenotypeHaplotypesHeightHigh Density Lipoprotein CholesterolHuman Genome ProjectIndividualInheritedInvestigationLaboratoriesLow-Density LipoproteinsMorbidity - disease rateNightmareNon-Insulin-Dependent Diabetes MellitusObesityPhenotypePlayPopulationPreventionRiskRoleSamplingTCF7L2 geneTechnologyTriglyceridesUnited StatesVariantWorkbasediabetes mellitus geneticsdiabeticdisorder riskfasting glucosegenetic analysisgenetic linkagegenome wide association studygenome-widemortalitytrait
中文摘要
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英文摘要
Type 2 diabetes (T2D) is one of the major causes of morbidity and mortality in the developed world. While environmental factors such as diet play a significant role, familial clustering indicates that there must be significant genetic susceptibility factors at work. For fifteen years we have been engaged in a large collaborative study entitled FUSION (Finland - United States Investigation of NIDDM), in which more than 10,000 individuals with diabetes (and suitable controls) from Finland are being studied, using careful phenotyping of diabetes and diabetes-associated quantitative traits, and genome-wide genetic linkage and association. Large numbers of additional samples are also now available from several collaborators around the world. We have developed and applied new high throughput genotyping approaches in the laboratory, which have allowed the collection of a massive amount of data from these Finnish diabetics and their families. Using the genome wide association study (GWAS) approach, we have now contributed to the identification of no less than 32 loci for T2D, and have identified additional loci harboring variants that have important effects on obesity, fasting glucose, LDL and HDL cholesterol, triglycerides, blood pressure, and adult height. We are now investigating the functional basis of disease risk that arises from several of these variants, including those in TCF7L2, SLC30A8, CDKN2A/B, IGF2BP2, HMGCR and GCKR. This analysis includes high throughput sequencing of these loci to identify common and rare alleles that may be driving the association, analysis of the relationship between gene expression, alternative splicing, chromatin structure, and risk haplotypes, and cell culture and biochemical assays. With this kind of substantial progress, we are confident that the geneticist's nightmare (Jim Neel's description of the genetics of diabetes) is coming to an end.
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