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 fourteen years we have been engaged in a large collaborative study entitled FUSION (Finland - United States Investigation of NIDDM), in which nearly 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 16 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, 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.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Intramural Research (Z01)
Project #
1Z01HG000024-14
Application #
7734859
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
14
Fiscal Year
2008
Total Cost
$2,054,248
Indirect Cost
Name
National Human Genome Research Institute
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Teslovich, Tanya M; Kim, Daniel Seung; Yin, Xianyong et al. (2018) Identification of seven novel loci associated with amino acid levels using single-variant and gene-based tests in 8545 Finnish men from the METSIM study. Hum Mol Genet 27:1664-1674
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