Type 2 diabetes (T2D) is a major cause of morbidity and mortality in the USA and worldwide. Identification of genes increasing susceptibility to T2D would impact public health by providing basic biological and clinical data about development and treatment of T2D and by advising specific lifestyle changes in at-risk individuals. T2D is a complex disease with clear genetic and environmental risk factors, however few actual genes leading to this increased risk have been identified and the underlying mechanisms by which T2D develops remain obscure. Our goal is to identify genes increasing susceptibility to T2D and related quantitative traits (QTs) in a large sample of Finnish individuals collected both from at-risk families and from population cohorts. We have completed genome screens for T2D and related QTs in the 855 families. In the current proposal, we extend the scope of our genetic analysis to include carefully targeted genes spanning the genome. We will select genes with prior evidence of association with T2D and/or QTs and genes connected to T2D-related transcription factors/coactivators based on protein interaction and gene ontology. We will prioritize genes based on QT linkage signals. Recent technical advances in high-throughput genotyping, single nucleotide polymorphism (SNP) discovery and haplotype map (HapMap) construction provide unprecedented tools enabling more thorough analysis of targeted genes than was previously possible. We propose to perform in-depth analysis of 3072 SNPs in 181 selected genes by evaluating common and likely functional SNPs in a large, well-characterized sample set of 1185 cases, 1197 controls and 946 at-risk individuals. We will follow-up promising T2D and QT associations in a second large sample set of 1150 cases, 1000 controls and 781 at-risk individuals. We will identify potential susceptibility variants and test their functional roles. We strongly believe that a detailed study of genetic factors and their interactions is an essential step to identifying targeted prevention strategies and treatments.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK072193-05
Application #
7637480
Study Section
Genetics of Health and Disease Study Section (GHD)
Program Officer
Mckeon, Catherine T
Project Start
2005-09-01
Project End
2011-06-30
Budget Start
2009-07-01
Budget End
2011-06-30
Support Year
5
Fiscal Year
2009
Total Cost
$557,740
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Genetics
Type
Schools of Medicine
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
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
Kycia, Ina; Wolford, Brooke N; Huyghe, Jeroen R et al. (2018) A Common Type 2 Diabetes Risk Variant Potentiates Activity of an Evolutionarily Conserved Islet Stretch Enhancer and Increases C2CD4A and C2CD4B Expression. Am J Hum Genet 102:620-635
Pan, David Z; Garske, Kristina M; Alvarez, Marcus et al. (2018) Integration of human adipocyte chromosomal interactions with adipose gene expression prioritizes obesity-related genes from GWAS. Nat Commun 9:1512
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
Roman, Tamara S; Mohlke, Karen L (2018) Functional genomics and assays of regulatory activity detect mechanisms at loci for lipid traits and coronary artery disease. Curr Opin Genet Dev 50:52-59
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
Civelek, Mete; Wu, Ying; Pan, Calvin et al. (2017) Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits. Am J Hum Genet 100:428-443
Davis, James P; Huyghe, Jeroen R; Locke, Adam E et al. (2017) Common, low-frequency, and rare genetic variants associated with lipoprotein subclasses and triglyceride measures in Finnish men from the METSIM study. PLoS Genet 13:e1007079
Kraja, Aldi T; Cook, James P; Warren, Helen R et al. (2017) New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475?000 Individuals. Circ Cardiovasc Genet 10:
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

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