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
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Li, Man; Li, Yong; Weeks, Olivia et al. (2017) SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. J Am Soc Nephrol 28:981-994
Justice, Anne E (see original citation for additional authors) (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 8:14977
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
Spracklen, Cassandra N; Chen, Peng; Kim, Young Jin et al. (2017) Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels. Hum Mol Genet 26:1770-1784
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

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