Unknown

Dataset Information

0

Polymorphisms in PPAR Genes (PPARD, PPARG, and PPARGC1A) and the Risk of Chronic Kidney Disease in Japanese: Cross-Sectional Data from the J-MICC Study.


ABSTRACT: Chronic kidney disease (CKD) is well known as a strong risk factor for both end stage renal disease and cardiovascular disease. To clarify the association of polymorphisms in the PPAR genes (PPARD, PPARG, and PPARGC1A) with the risk of CKD in Japanese, we examined this association among the Japanese subjects using the cross-sectional data of J-MICC (Japan Multi-Institutional Collaborative Cohort) Study. The subjects for this analysis were 3,285 men and women, aged 35-69 years, selected from J-MICC Study participants; genotyping was conducted by multiplex polymerase chain reaction-based Invader assay. The prevalence of CKD was determined for CKD stages 3-5 (defined as eGFR

SUBMITTER: Hishida A 

PROVIDER: S-EPMC3830885 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

Polymorphisms in PPAR Genes (PPARD, PPARG, and PPARGC1A) and the Risk of Chronic Kidney Disease in Japanese: Cross-Sectional Data from the J-MICC Study.

Hishida Asahi A   Wakai Kenji K   Naito Mariko M   Tamura Takashi T   Kawai Sayo S   Hamajima Nobuyuki N   Oze Isao I   Imaizumi Takeshi T   Turin Tanvir Chowdhury TC   Suzuki Sadao S   Kheradmand Motahare M   Mikami Haruo H   Ohnaka Keizo K   Watanabe Yoshiyuki Y   Arisawa Kokichi K   Kubo Michiaki M   Tanaka Hideo H  

PPAR research 20131107


Chronic kidney disease (CKD) is well known as a strong risk factor for both end stage renal disease and cardiovascular disease. To clarify the association of polymorphisms in the PPAR genes (PPARD, PPARG, and PPARGC1A) with the risk of CKD in Japanese, we examined this association among the Japanese subjects using the cross-sectional data of J-MICC (Japan Multi-Institutional Collaborative Cohort) Study. The subjects for this analysis were 3,285 men and women, aged 35-69 years, selected from J-MI  ...[more]

Similar Datasets

| S-EPMC4210508 | biostudies-literature
| S-EPMC7083928 | biostudies-literature
| S-EPMC3705159 | biostudies-literature
| S-EPMC5634546 | biostudies-literature
| S-EPMC6087028 | biostudies-literature
| S-EPMC3297507 | biostudies-literature
| S-EPMC8451818 | biostudies-literature
2014-10-15 | E-MTAB-1977 | biostudies-arrayexpress
| S-EPMC7405651 | biostudies-literature
| S-EPMC8464150 | biostudies-literature