Literature DB >> 30955190

Genetic risk score raises the risk of incidence of chronic kidney disease in Korean general population-based cohort.

Sohyun Yun1, Miyeun Han2, Hyo Jin Kim3, Hyunsuk Kim4, Eunjeong Kang5, Sangsoo Kim6, Curie Ahn5, Kook-Hwan Oh7.   

Abstract

BACKGROUND: Chronic kidney disease (CKD) is a common disease, affecting about 10% of the general population. The genetic component about CKD incidence in Asian population is not well known. The aim of the study is to find the genetic loci associated with incident CKD and to figure out the effect of genetic variation on the development of CKD.
METHODS: We conducted a genome-wide association (GWA) study regarding the development of CKD based on two population-based cohorts of Korean Genome Epidemiology Study. 3617 Koreans from two different cohorts, aged 40-49 years without CKD at initial visit, were included in our analysis. We used 2510 individuals in Ansan as the discovery set and another 1107 individuals from Ansung as the replication set. At baseline, members of both cohorts provided information on creatinine, and DNA samples were collected for genotyping. Single nucleotide polymorphisms that surpassed a significance threshold of P < 5 × 10-3 were selected.
RESULTS: A total of 281 among 3617 developed CKD during the follow-up period. Incident CKD group was older (P < 0.001), included more female (P < 0.001), and had more hypertension and diabetes (P < 0.001). We identified 12 SNPs that are associated with incident CKD in the GWA study and made genetic risk score using these SNPs. In multiple Cox regression analysis, genetic risk score was still a significant associated factor (HR 1.311, CI 1.201, 1.431, P < 0.001).
CONCLUSIONS: We identified several loci highly associated with incident CKD. The findings suggest the need for further investigations on the genetic propensity for incident CKD.

Entities:  

Keywords:  Chronic kidney disease; Genetic risk score; Genome-wide association study

Year:  2019        PMID: 30955190     DOI: 10.1007/s10157-019-01731-8

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN: 1342-1751            Impact factor:   2.801


  2 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.  Scoring model to predict risk of chronic kidney disease in Chinese health screening examinees with type 2 diabetes.

Authors:  Xia Cao; Binfang Yang; Jiansong Zhou
Journal:  Int Urol Nephrol       Date:  2021-11-01       Impact factor: 2.266

  2 in total

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