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Gene. 2013 May 25;521(1):150-4. doi: 10.1016/j.gene.2013.03.024. Epub 2013 Mar 21.

Genetic analysis of candidate SNPs for metabolic syndrome in obstructive sleep apnea (OSA).

Author information

1
Unidad de Hipertensión, Servicio de Medicina Interna, Hospital Universitario de Valme, Carretera de Cádiz S/N., 41014 Seville, Spain.

Abstract

Obstructive sleep apnea (OSA) is a common disorder characterized by the reduction or complete cessation in airflow resulting from an obstruction of the upper airway. Several studies have observed an increased risk for cardiovascular morbidity and mortality among OSA patients. Metabolic syndrome (MetS), a cluster of cardiovascular risk factors characterized by the presence of insulin resistance, is often found in patients with OSA, but the complex interplay between these two syndromes is not well understood. In this study, we present the results of a genetic association analysis of 373 candidate SNPs for MetS selected in a previous genome wide association analysis (GWAS). The 384 selected SNPs were genotyped using the Illumina VeraCode Technology in 387 subjects retrospectively assessed at the Internal Medicine Unit of the "Virgen de Valme" University Hospital (Seville, Spain). In order to increase the power of this study and to validate our findings in an independent population, we used data from the Framingham Sleep Study which comprises 368 individuals. Only the rs11211631 polymorphism was associated with OSA in both populations, with an estimated OR=0.57 (0.42-0.79) in the joint analysis (p=7.21×10(-4)). This SNP was selected in the previous GWAS for MetS components using a digenic approach, but was not significant in the monogenic study. We have also identified two SNPs (rs2687855 and rs4299396) with a protective effect from OSA only in the subpopulation with abdominal obesity. As a whole, our study does not support the idea that OSA and MetS share major genetic determinants, although both syndromes share common epidemiological and clinical features.

PMID:
23524009
PMCID:
PMC4039742
DOI:
10.1016/j.gene.2013.03.024
[Indexed for MEDLINE]
Free PMC Article

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