Association of genetic vatiation within UBL5 with phenotypes of metabolic syndrome
Bozaoglu, Kiymet, Curran, Joanne E., Elliott, Kate S., Walder, Ken, Dyer, Thomas D., Rainwater, David L., Vandenberg, John L., Comuzzie, Anthony G., Collier, Gregory, Zimmet, Paul, Maccluer, Jean W., Jowett, Jeremy and Blangero, John 2006, Association of genetic vatiation within UBL5 with phenotypes of metabolic syndrome, Human biology, vol. 78, no. 2, pp. 147-159.
The BEACON gene was initially identified using the differential display polymerase chain reaction on hypothalamic mRNA samples collected from lean and obese Psammomys obesus, a polygenic animal model of obesity. Hypothalamic BEACON gene expression was positively correlated with percentage of body fat, and intracerebroventricular infusion of the Beacon protein resulted in a dose-dependent increase in food intake and body weight. The human homolog of BEACON, UBL5, is located on chromosome 19p in a region previously linked to quantitative traits related to obesity. Our previous studies showed a statistically significant association between UBL5 sequence variation and several obesity- and diabetes-related quantitative physiological measures in Asian Indian and Micronesian cohorts. Here we undertake a replication study in a Mexican American cohort where the original linkage signal was first detected. We exhaustively resequenced the complete gene plus the putative promoter region for genetic variation in 55 individuals and identified five single nucleotide polymorphisms (SNPs), one of which was novel. These SNPs were genotyped in a Mexican American cohort of 900 individuals from 40 families. Using a quantitative trait linkage disequilibrium test, we found significant associations between UBL5 genetic variants and waist-to-hip ratio (p = 0.027), and the circulating concentrations of insulin (p = 0.018) and total cholesterol (p = 0.023) in fasted individuals. These data are consistent with our earlier published studies and further support a functional role for the UBL5 gene in influencing physiological traits that underpin the development of metabolic syndrome.
Field of Research
060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
Socio Economic Objective
970106 Expanding Knowledge in the Biological Sciences
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