Literature DB >> 30146708

Association of genetic risk score and chronic kidney disease in a Japanese population.

Ryosuke Fujii1, Asahi Hishida2, Masahiro Nakatochi3, Norihiro Furusyo4, Masayuki Murata4, Keitaro Tanaka5, Chisato Shimanoe5, Sadao Suzuki6, Miki Watanabe6, Nagato Kuriyama7, Teruhide Koyama7, Toshiro Takezaki8, Ippei Shimoshikiryo8, Kokichi Arisawa9, Sakurako Katsuura-Kamano9, Naoyuki Takashima10, Tanvir C Turin11, Kiyonori Kuriki12, Kaori Endoh12, Haruo Mikami13, Yohko Nakamura13, Isao Oze14, Hidemi Ito14, Michiaki Kubo15, Yukihide Momozawa15, Takaaki Kondo1, Mariko Naito2, Kenji Wakai2.   

Abstract

Chronic kidney disease (CKD) is a public health problem worldwide including Japan. Recent genome-wide association studies have discovered CKD susceptibility variants. We developed a genetic risk score (GRS) based on CKD-associated variants and assessed a possibility that the GRS can improve the discrimination capability for the prevalence of CKD in a Japanese population. The present study consists of 11 283 participants randomly selected from 12 Japan Multi-Institutional Collaborative Cohort Study sites. Individual GRS was constructed combining 18 single-nucleotide polymorphisms identified in a Japanese population. Participants with eGFR <60 mL/min per 1.73 m2 was defined as case (stage 3 CKD or higher) in this study. Logistic regression analysis was used to examine the association between the GRS and CKD risk with adjustment for sex, age, hypertension and type 2 diabetes mellitus. The frequency of individuals with CKD was 8.3%, which was relatively low compared with those previously reported in a Japanese population. The odds ratio of having CKD was 1.120 (95% confidence interval: 1.042-1.203) per 10 GRS increment in the fully adjusted model (P = 0.002). The C-statistic was significantly increased in the model with the GRS, comparing with the model without the GRS (0.720 vs 0.719, Pdifference  = 0.008). Increment of the GRS was associated with increased risk of CKD. Additionally, the GRS significantly improved the discriminatory ability of CKD prevalence in a Japanese population; however, the improvement of discriminatory ability brought about by the GRS seemed to be small compared with that of non-genetic CKD risk factors.
© 2018 Asian Pacific Society of Nephrology.

Entities:  

Keywords:  chronic kidney disease; estimated glomerular filtration rate; genetic epidemiology; genetic risk score

Mesh:

Substances:

Year:  2019        PMID: 30146708     DOI: 10.1111/nep.13479

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  4 in total

1.  Polygenic Risk Scores for Kidney Function and Their Associations with Circulating Proteome, and Incident Kidney Diseases.

Authors:  Zhi Yu; Jin Jin; Adrienne Tin; Anna Köttgen; Bing Yu; Jingsha Chen; Aditya Surapaneni; Linda Zhou; Christie M Ballantyne; Ron C Hoogeveen; Dan E Arking; Nilanjan Chatterjee; Morgan E Grams; Josef Coresh
Journal:  J Am Soc Nephrol       Date:  2021-09-21       Impact factor: 10.121

2.  Study Profile of the Japan Multi-institutional Collaborative Cohort (J-MICC) Study.

Authors:  Kenji Takeuchi; Mariko Naito; Sayo Kawai; Mineko Tsukamoto; Yuka Kadomatsu; Yoko Kubo; Rieko Okada; Mako Nagayoshi; Takashi Tamura; Asahi Hishida; Masahiro Nakatochi; Tae Sasakabe; Shuji Hashimoto; Hidetaka Eguchi; Yukihide Momozawa; Hiroaki Ikezaki; Masayuki Murata; Norihiro Furusyo; Keitaro Tanaka; Megumi Hara; Yuichiro Nishida; Keitaro Matsuo; Hidemi Ito; Isao Oze; Haruo Mikami; Yohko Nakamura; Miho Kusakabe; Toshiro Takezaki; Rie Ibusuki; Ippei Shimoshikiryo; Sadao Suzuki; Takeshi Nishiyama; Miki Watanabe; Teruhide Koyama; Etsuko Ozaki; Isao Watanabe; Kiyonori Kuriki; Yoshikuni Kita; Hirotsugu Ueshima; Kenji Matsui; Kokichi Arisawa; Hirokazu Uemura; Sakurako Katsuura-Kamano; Sho Nakamura; Hiroto Narimatsu; Nobuyuki Hamajima; Hideo Tanaka; Kenji Wakai
Journal:  J Epidemiol       Date:  2021-02-18       Impact factor: 3.211

3.  An early prediction model for chronic kidney disease.

Authors:  Jing Zhao; Yuan Zhang; Jiali Qiu; Xiaodan Zhang; Fengjiang Wei; Jiayi Feng; Chen Chen; Kai Zhang; Shuzhi Feng; Wei-Dong Li
Journal:  Sci Rep       Date:  2022-02-17       Impact factor: 4.379

4.  Genetic risk score for risk prediction of diabetic nephropathy in Han Chinese type 2 diabetes patients.

Authors:  Li-Na Liao; Tsai-Chung Li; Chia-Ing Li; Chiu-Shong Liu; Wen-Yuan Lin; Chih-Hsueh Lin; Chuan-Wei Yang; Ching-Chu Chen; Chiz-Tzung Chang; Ya-Fei Yang; Yao-Lung Liu; Huey-Liang Kuo; Fuu-Jen Tsai; Cheng-Chieh Lin
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  4 in total

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