ABSTRACT: Arterial stiffness is one of the biggest predictors of coronary heart disease (CHD). We evaluated whether brachial-ankle pulse wave velocity (baPWV) and augmentation index (AI) are correlated with risk factors of CHD. All of the 528 participants (270 males and 258 females) in this study were healthy workers aged from 36 to 69 (mean age: 47.9 ± 8.1 years). The Framingham Risk Score (FRS) showed a good correlation with baPWV (r = 0.53, p < 0.01), indicating that FRS is also applicable as an index of arterial stiffness in Japanese people. Blood pressures were well controlled in patients with medical treatment for hypertension; however, vessels remained relatively still stiff, whereas the AI was considerably low. Multivariate linear regression analysis showed that factors of such as FRS, body mass index, alcohol consumption and AI P75 were significantly correlated with baPWV.
Blood pressure 05/2012; · 1.26 Impact Factor
ABSTRACT: Timing of menopause affects postmenopausal health risks. The objective of this study was to evaluate the associations of the single nucleotide polymorphisms (SNPs) in peroxisome proliferator-activated receptor (PPAR)-related genes (PPARD, PPARG, and PPARGC1A) and environmental factors with timing of natural menopause among the general Japanese population.
We analyzed cross-sectional data from 1758 women aged 40-69 years who were enrolled in the baseline surveys of the Japan Multi-institutional Collaborative Cohort (J-MICC) Study.
Associations of timing of natural menopause with its probable covariates and with target gene variants were evaluated by univariate and multivariate Cox proportional hazards models.
Lower body mass index and later age at menarche were significantly associated with earlier natural menopause. Women with minor alleles at T-48444C in PPARD showed a significantly higher adjusted hazard ratio of 1.57 (95% confidence interval: 1.18-2.10) for earlier natural menopause. In contrast, women with minor alleles at Thr394Thr in PPARGC1A showed a significantly lower adjusted hazard ratio of 0.86 (0.76-0.97) for earlier natural menopause. These associations did not substantially alter when re-analyzed after excluding the subjects who self-reported a history of diabetes or the subjects whose age was more than 65 years.
Gene variants in PPARD and PPARGC1A might be associated with timing of natural menopause, probably through direct actions on the ovaries, among the general Japanese population.
Maturitas 04/2012; 71(4):369-75. · 2.77 Impact Factor
ABSTRACT: Most diseases are thought to arise from interactions between environmental factors and the host genotype. To detect gene-environment interactions in the development of lifestyle-related diseases, and especially cancer, the Japan Multi-institutional Collaborative Cohort (J-MICC) Study was launched in 2005.
We initiated a cross-sectional study to examine associations of genotypes with lifestyle and clinical factors, as assessed by questionnaires and medical examinations. The 4519 subjects were selected from among participants in the J-MICC Study in 10 areas throughout Japan. In total, 108 polymorphisms were chosen and genotyped using the Invader assay.
The study group comprised 2124 men and 2395 women with a mean age of 55.8 ± 8.9 years (range, 35-69 years) at baseline. Among the 108 polymorphisms examined, 4 were not polymorphic in our study population. Among the remaining 104 polymorphisms, most variations were common (minor allele frequency ≥0.05 for 96 polymorphisms). The allele frequencies in this population were comparable with those in the HapMap-JPT data set for 45 Japanese from Tokyo. Only 5 of 88 polymorphisms showed allele-frequency differences greater than 0.1. Of the 108 polymorphisms, 32 showed a highly significant difference in minor allele frequency among the study areas (P < 0.001).
This comprehensive data collection on lifestyle and clinical factors will be useful for elucidating gene-environment interactions. In addition, it is likely to be an informative reference tool, as free access to genotype data for a large Japanese population is not readily available.
Journal of Epidemiology 03/2011; 21(3):223-35. · 1.86 Impact Factor