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 suscepibility factors at work. For ten 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 traits, and genome-wide genetic linkage and association. We have developed new approaches in the laboratory to achieve high throughput microsatellite and SNP genotyping, which has allowed the collection of a massive amount of data from these Finnish diabetics and their families. Currently we are focused on fine mapping of regions on chromosomes 6, 11, 14, 20, and 22 where linkage analyses have shown evidence for susceptibility genes for diabetes or related traits. On the long arm of chromosome 20, a region where a dozen groups have independently shown evidence of linkage for T2D, we have identified susceptibility variants in a small region of the P2 promoter of the HNF4A transcription factor. These variants seem to account for much of the linkage signal, and have now been confirmed by several other groups. We are in the process of carrying out fine mapping of linkage signals on chromosomes 6, 11, and 14, using the HapMap data to optimize the choice of markers. We have also tested a number of attractive candidate genes in our large sample, and identified several that show strong evidence of association with T2D. Finally, we have identified a small region on chromosome 22 which contains a haplotype conferring an odds ratio of 1.5 for T2D, and which has been confirmed and narrowed by studying a West African diabetic population. With this kind of substantial progress, we are confident that the """"""""geneticist's nightmare"""""""" (Jim Neel's description of the genetics of diabetes) may be coming to an end.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Intramural Research (Z01)
Project #
1Z01HG000024-10
Application #
6988571
Study Section
(GTB)
Project Start
Project End
Budget Start
Budget End
Support Year
10
Fiscal Year
2004
Total Cost
Indirect Cost
Name
Human Genome Research
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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Latva-Rasku, Aino; Honka, Miikka-Juhani; Stan?áková, Alena et al. (2018) A Partial Loss-of-Function Variant in AKT2 Is Associated With Reduced Insulin-Mediated Glucose Uptake in Multiple Insulin-Sensitive Tissues: A Genotype-Based Callback Positron Emission Tomography Study. Diabetes 67:334-342
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Wood, Andrew R; Jonsson, Anna; Jackson, Anne U et al. (2017) A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants. Diabetes 66:2296-2309
Manning, Alisa (see original citation for additional authors) (2017) A Low-Frequency Inactivating AKT2 Variant Enriched in the Finnish Population Is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk. Diabetes 66:2019-2032
Roman, Tamara S; Cannon, Maren E; Vadlamudi, Swarooparani et al. (2017) A Type 2 Diabetes-Associated Functional Regulatory Variant in a Pancreatic Islet Enhancer at the ADCY5 Locus. Diabetes 66:2521-2530
Johnson, Amy R; Qin, Yuanyuan; Cozzo, Alyssa J et al. (2016) Metabolic reprogramming through fatty acid transport protein 1 (FATP1) regulates macrophage inflammatory potential and adipose inflammation. Mol Metab 5:506-526
Ehret, Georg B (see original citation for additional authors) (2016) The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat Genet 48:1171-1184
Surendran, Praveen (see original citation for additional authors) (2016) Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet 48:1151-1161

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