Seirei Social Welfare Community

Hamamatsu, Japan

Seirei Social Welfare Community

Hamamatsu, Japan
SEARCH FILTERS
Time filter
Source Type

Wakai K.,Nagoya University | Hamajima N.,Nagoya University | Okada R.,Nagoya University | Naito M.,Nagoya University | And 72 more authors.
Journal of Epidemiology | Year: 2011

Background: 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. Methods: 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. Results: 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). Conclusions: 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. © 2011 by the Japan Epidemiological Association.


Hamajima N.,Nagoya University | Okada R.,Nagoya University | Kawai S.,Nagoya University | Hishida A.,Nagoya University | And 9 more authors.
Molecular Genetics and Metabolism | Year: 2011

Genome-wide association studies identified that SLC2A9 (GLUT9) gene polymorphisms were associated with serum uric acid (SUA) levels. Among the Japanese, a C/T polymorphism in intron 8 (rs11722228) was reported to be highly significant, though the function and strength of association were unknown. This study aimed to confirm the association, estimating the means of SUA according to the genotype, as well as OR of the genotype. Subjects were 5024 health checkup examinees (3413 males and 1611 females) aged 35 to 69. years with creatinine < 2.0. mg/dL. Since SLC22A12 258X allele and ABCG2 126X allele are known to influence SUA levels strongly, the subjects with SLC22A12 258WW and ABCG2 126QQ (3082 males and 1453 females, in total 4535 subjects) were selected. The genotype frequency of SLC2A9 rs11722228 was 2184 for CC, 1947 for CT, and 404 for TT, being in Hardy-Weinberg equilibrium (p = 0.312). Mean SUA was 6.10. mg/dL for CC, 6.25. mg/dL for CT, and 6.45. mg/dL for TT among males (p = 1.5E-6), and 4.34. mg/dL, 4.59. mg/dL, and 4.87. mg/dL among females (p = 4.6E-11), respectively. Males with SUA less than 5.0. mg/dL were 14.7% for CC, 10.6% for CT, and 7.8% for TT (p = 2.3E-4), and females with SUA less than 4.0. mg/dL were 34.1%, 25.5%, and 15.4% (p = 3.7E-6), respectively. This study was the first report to estimate the impact of SLC2A9 rs11722228 on SUA levels. Since the allele frequency of rs11722228 is similar among different ethnic groups, the impact remains to be examined in other ethnic groups. © 2011 Elsevier Inc.


Hamajima N.,Nagoya University | Naito M.,Nagoya University | Hishida A.,Nagoya University | Okada R.,Nagoya University | And 2 more authors.
BMC Medical Genetics | Year: 2011

Background: Although SLC22A12 258X allele was found among those with hypouricemia, it was unknown that serum uric acid distribution among those with SLC22A12 258X allele. This study examined serum uric acid (SUA) distribution according to SLC22A12 W258X genotype in a general Japanese population.Methods: Subjects were 5,023 health checkup examinees (3,413 males and 1,610 females) aged 35 to 69 years with creatinine < 2.0 mg/dL, who were participants of a cohort study belonging to the Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study). SLC22A12 W258X was genotyped with a polymerase chain reaction with confronting two-pair primers.Results: The genotype frequency was 4,793 for WW, 225 for WX, and 5 for XX, which was in Hardy-Weinberg equilibrium (p = 0.164) with X allele 0.023 (95% confidence interval [0.021-0.027]). Mean (range) SUA was 6.2 (2.1-11.4) mg/dL for WW, 3.9 (0.8-7.8) mg/dL for WX, and 0.8 (0.7-0.9) mg/dL for XX among males, and 4.5 (1.9-8.9) mg/dL, 3.3 (2.0-6.5) mg/dL, and 0.60 (0.5-0.7) mg/dL among females, respectively. Six individuals with SUA less than 1.0 mg/dL included two males with XX genotype, one male with WX genotype, and three females with XX genotype. Subjects with WX genotype were 14 (77.8%) of 18 males with a SUA of 1.0-2.9 mg/dL, and 28 (34.6%) of 81 females with the same range of SUA. The corresponding values were 131 (25.1%) of 522 males and 37 (3.5%) of 1,073 females for SUA 3.0-4.9 mg/dL, and 8 (0.4%) of 2,069 males and 5 (1.1%) of 429 females for SUA 5.0-6.9 mg/dL. The X allele effect for SUA less than 3 mg/dL was significantly (p < 0.001) higher in males (OR = 102.5, [33.9-309.8]) than in females (OR = 25.6 [14.4-45.3]).Conclusions: Although SLC22A12 W258X was a determining genetic factor on SUA, SUA of those with WX genotype distributed widely from 0.8 mg/dL to 7.8 mg/dL. It indicated that other genetic traits and/or lifestyle affected SUA of those with WX genotype, as well as those with WW genotype. © 2011 Hamajima et al; licensee BioMed Central Ltd.


Hinohara Y.,Nagoya University | Naito M.,Nagoya University | Okada R.,Nagoya University | Yin G.,Nagoya University | And 8 more authors.
Nagoya Journal of Medical Science | Year: 2014

Several genome-wide association studies (GWAS) have revealed that single nucleotide polymorphisms (SNPs) of ABCG2 and SLC22A12 were strongly associated with serum uric acid (SUA), but those of methylene tetrahydrofolate reductase (MTHFR) were not. However, there were several studies indicating the association with MTHFR C677T polymorphism. This study examined the association with the polymorphism, taking into account the genotypes of ABCG2 Q126X and SLC22A12 W258X. Subjects were 5,028 health checkup examinees of Seirei Preventive Health Care Center (3,416 males and 1,612 females) aged 35 to 69 years, who participated in the Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study). Hyperuricemia was defined as SUA equal to 7 mg/dL or over. The genotype frequency was 35.9% for CC, 48.1% for CT, and 16.0% for TT, being in Hardy-Weinberg equilibrium (p=0.90). Among 4,425 participants with ABCG2 126QQ and SLC22A12 258WW who were not under medication for hyperuricemia, the mean SUA was 5.6 mg/dL, 5.6 mg/dL, and 5.7 mg/dL, respectively. When 114 participants with ABCG2 126QQ and SLC22A12 258WW under medication for hyperuricemia were included in hyperuricemia cases, the sex-age adjusted odds ratio (OR) of hyperuricemia was not significant; OR=1.00 (95% confidence interval, 0.89-1.24) for CT genotype and OR=0.98 (0.84-1.32) for TT genotype, relative to CC genotype. The present study indicated no association between SUA and MTHFR C677T genotype, after the influences of ABCG2 Q126X and SLC22A12 W258X were removed.


Higashibata T.,Nagoya University | Naito M.,Nagoya University | Mori A.,Seirei Social Welfare Community | Ozawa N.,Seirei Social Welfare Community | And 9 more authors.
Nagoya Journal of Medical Science | Year: 2014

Prostate specific antigen (PSA) testing plays a major role in prostate cancer screening; however, the low positive predictive value of PSA testing leads to many unnecessary biopsies. Genetic background is one of factors that could cause it. That's why an association between genetic background and PSA levels should be elucidated. This study aimed to investigate whether DPP4 genetic variants are associated with baseline PSA levels. A cross-sectional study was performed on 2,074 Japanese men aged between 35 and 69 in the Shizuoka area from the Japan Multi-institutional Collaborative Cohort (J-MICC) Study. Three DPP4 tagging single nucleotide polymorphisms (SNPs) were selected for genotyping: rs3788979 (A/G), rs7608798 (T/C), and rs2268889 (A/G). Higher mean serum PSA levels were significantly associated with an increase in the number of the rs7608798 C allele (p for trend = 0.02). A stratified analysis by age groups demonstrated that PSA levels had positive significant trends with the numbers of the minor alleles of rs3788979 or rs7608798 in the oldest group (men aged between 60 and 69) (p for trend=0.004 for rs3788979 and p for trend=0.001 for rs7608798). Haplotype analysis showed that the C-A (rs7608798-rs2268889) haplotype was significantly associated with increased PSA levels (p=0.006), compared with the most common haplotype, T-A. In summary, our study suggests that DPP4 genetic variants influence baseline PSA levels, especially in men aged between 60 and 69.


Hamajima N.,Nagoya University | Naito M.,Nagoya University | Okada R.,Nagoya University | Kawai S.,Nagoya University | And 8 more authors.
Gene | Year: 2012

A genome-wide association study identified that LRP2 rs2544390 in intron 1 was associated with serum uric acid (SUA) levels among Japanese, as well as polymorphisms of SLC22A12, ABCG2, and SLC2A9. This study aimed to confirm the association of rs2544390 C/T with SUA, as well as another LRP2 polymorphism (rs3755166 G/A) in the promoter. Subjects were 5016 health checkup examinees (3409 males and 1607 females) aged 35 to 69. years with creatinine < 2.0. mg/dL. The subjects with SLC22A12 258WW, SLC2A9 rs11722228C allele, ABCG2 126QQ and 141Q allele (2546 males and 1199 females) were selected for analysis. Mean SUA was 6.03. mg/dL for CC, 6.18. mg/dL for CT, and 6.19. mg/dL for TT among males (p = 0.012), and 4.49. mg/dL, 4.45. mg/dL, and 4.42. mg/dL among females (not significant), respectively. No association was observed for rs3755166. The association with rs2544390 was stronger among male drinkers. The odds ratio of drinking ≥ 5/week relative to no drinking for hyperuricemia (SUA ≥ 7. mg/dL and/or under medication for hyperuricemia) was 1.11 (95% confidence interval, 0.67-1.84) among CC males, 1.75 (1.22-2.51) among CT males, and 3.13 (1.80-5.43) among TT males. The interaction terms with drinking ≥ 5/week were 1.56 (p = 0.156) for CT and 2.87 (p = 0.005) for TT. This was the first report on the interaction between LRP2 genotype and alcohol drinking for SUA. Since the low density lipoprotein-related protein 2 (megalin) encoded by LRP2 is a multi-ligand endocytic receptor expressed in many tissues including the kidney proximal tubules, the association/interaction remained to be confirmed both epidemiologically and biologically. © 2012 Elsevier B.V.


Okada R.,Nagoya University | Wakai K.,Nagoya University | Naito M.,Nagoya University | Morita E.,Nagoya University | And 8 more authors.
Renal Failure | Year: 2012

Background: The aim of the study was to confirm that glomerular hyperfiltration, an early and reversible stage of kidney damage, is associated in patients with prediabetes and prehypertension. Methods: In total, 5003 people aged between 35 and 69 years who had participated in the Shizuoka part of the Japan Multi-Institutional Collaborative Cohort (J-MICC) study took part in the study. Prevalence of hyperfiltration [the estimated glomerular filtration rate (eGFR) above the age- /sex-specific 95th percentile] was compared among different stages of prediabetes [fasting plasma glucose (FPG) < 100, 100109, 110125, and ≥126 mg/dL; and/or hemoglobin A1c (HbA1c) < 5.7, 5.76.0, 6.16.4 and ≥6.5 for no prediabetes, stage 1 prediabetes, stage 2 prediabetes, and overt diabetes, respectively] and prehypertension (blood pressure <120/80, 120129/8084, 130139/8589, and ≥140/90 mmHg for no prehypertension, stage 1 prehypertension, stage 2 prehypertension, and overt hypertension, respectively). Results: The prevalence of hyperfiltration increased with increasing stages of prediabetes (odds ratios: 1.25, 1.68, and 2.37 using FPG, and 1.26, 2.15, and 2.45 using HbA1c for stage 1 prediabetes, stage 2 prediabetes, and diabetes, respectively, relative to no prediabetes). Prehypertension, however, was not associated with hyperfiltration. Conclusion: The results confirmed that the prevalence of glomerular hyperfiltration increased with increasing stages (i.e., worsening) of prediabetes. Because both FPG and HbA1c showed similar association with hyperfiltration, either of these can be used to identify subjects who are at increased risk of nephropathy. Therefore, the functioning of kidneys should be monitored in subjects with prediabetes. Prompt treatment of hyperglycemia is necessary in subjects with hyperfiltration to prevent it to cause nephropathy. © 2012 Informa Healthcare USA, Inc.

Loading Seirei Social Welfare Community collaborators
Loading Seirei Social Welfare Community collaborators