Obesity and its associated metabolic syndrome attained epidemic status in U.S. adolescents with the potentiality of earlier onset of their co-morbidities, including type 2 diabetes and cardiovascular disease. Our group is currently funded to determine the quantitative genetics of their biologic precursors and the effects of the 3q27 QTL positional candidate gene's variances on its expression in the adult members of 177 our highly informative families. The specific objective of this application is to include their pre-, peri-, and post- adolescent descendents. This objective is pursued via three complementary hypotheses and specific aims. Hypothesis 1: """"""""Biologic precursors and clinical components of the adolescent's metabolic syndrome are genetically intercorrelated."""""""" In Specific Aim 1, quantitative genetics and intercorrelations of the biologic precursors (total body fat and muscle, abdominal, visceral, and subcutaneous fat distribution, indices of insulin dynamics and sensitivity, LDL and HDL density profiles, circulating levels of cytokines/adipokines, and endothelial hyperactivity/adhesion markers) and the clinical components (BMI, waist and hip circumference, fasting plasma glucose and insulin, lipids and lipoproteins, and resting pulse and blood pressure) are determined. Hypothesis 2: """"""""Polymorphisms in APM1, PSARL and the newly identified positional genes ABCC5, HTR3E, KCNMB3, CCDC5 and KIAA0804, influence expression of the adolescent's metabolic syndrome."""""""" In Specific Aim 2, all individuals are genotyped for all polymorphisms identified by comprehensively resequenced candidate genes and the causally associated polymorphisms are determined. Hypothesis 3: """"""""Causally associated polymorphisms of the 3q27 positional candidate gene's expression are influenced by the adolescent's stage and age."""""""" In Specific Aim 3, the genotype- by-adolescent stage and -by-age interactions are determined from the adolescent's and their adult family member's data. The combined outcome should provide a global insight into the genetic origin of this syndrome and its co-morbidities. Relevancy to Agency's Mission: Information gained by this project will help contribute to understanding the genetic origins of the metabolic syndrome, now considered the major risk factor for type 2 diabetes and cardiovascular disease. This knowledge should assist in the development of new preventative means and/or therapies. ? ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK071895-02
Application #
7391218
Study Section
Clinical and Integrative Diabetes and Obesity Study Section (CIDO)
Program Officer
Mckeon, Catherine T
Project Start
2007-07-01
Project End
2012-06-30
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
2
Fiscal Year
2008
Total Cost
$591,748
Indirect Cost
Name
Medical College of Wisconsin
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
937639060
City
Milwaukee
State
WI
Country
United States
Zip Code
53226
Chu, Audrey Y; Deng, Xuan; Fisher, Virginia A et al. (2017) Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation. Nat Genet 49:125-130
Ali, Omar; Cerjak, Diana; Kent Jr, Jack W et al. (2016) Methylation of SOCS3 is inversely associated with metabolic syndrome in an epigenome-wide association study of obesity. Epigenetics 11:699-707
Hayes, M Geoffrey; Urbanek, Margrit; Ehrmann, David A et al. (2015) Genome-wide association of polycystic ovary syndrome implicates alterations in gonadotropin secretion in European ancestry populations. Nat Commun 6:7502
Ahl, Scott; Guenther, Mitchell; Zhao, Shi et al. (2015) Adiponectin Levels Differentiate Metabolically Healthy vs Unhealthy Among Obese and Nonobese White Individuals. J Clin Endocrinol Metab 100:4172-80
Ali, Omar; Cerjak, Diana; Kent Jr, Jack W et al. (2015) An epigenetic map of age-associated autosomal loci in northern European families at high risk for the metabolic syndrome. Clin Epigenetics 7:12
Guenther, Mitchell; James, Roland; Marks, Jacqueline et al. (2014) Adiposity distribution influences circulating adiponectin levels. Transl Res 164:270-7
Ali, Omar; Cerjak, Diana; Kent, Jack W et al. (2014) Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study. Pediatr Obes 9:e58-e62
Zhang, Yi; Kent Jr, Jack W; Olivier, Michael et al. (2013) A comprehensive analysis of adiponectin QTLs using SNP association, SNP cis-effects on peripheral blood gene expression and gene expression correlation identified novel metabolic syndrome (MetS) genes with potential role in carcinogenesis and systemic inf BMC Med Genomics 6:14
Zhang, Y; Kent Jr, J W; Olivier, M et al. (2013) QTL-based association analyses reveal novel genes influencing pleiotropy of metabolic syndrome (MetS). Obesity (Silver Spring) 21:2099-111
Martin, Lisa J; Kissebah, Ahmed H; Olivier, Michael (2012) Accounting for a quantitative trait locus for plasma triglyceride levels: utilization of variants in multiple genes. PLoS One 7:e34614

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