Evidence map›Paper›PMID 39558362›Full record

ArticleBMC medical genomics2024

Genome-wide association analysis of cystatin c and creatinine kidney function in Chinese women.

Yang Cai, Hongyao Lv, Meng Yuan, Jiao Wang, Wenhui Wu, Xiaoyu Fang, Changying Chen, Jialing Mu, Fangyuan Liu, Xincheng Gu and 6 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yang CaiCollege of Public Health, Southwest Medical University, Luzhou, Sichuan, China.
Hongyao LvDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Meng YuanDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Jiao WangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Wenhui WuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Xiaoyu FangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Changying ChenDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Jialing MuDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Fangyuan LiuDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Xincheng GuDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Hankun XieDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Yu LiuInstitute for the prevention and control of chronic non-communicable diseases, Center for Disease Control and Prevention of Jurong City, Jurong, China.
Haifeng XuInstitute for the prevention and control of chronic non-communicable diseases, Center for Disease Control and Prevention of Jurong City, Jurong, China.
Yao FanDepartment of Clinical Epidemiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Chong ShenDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China. sc@njmu.edu.cn.
Xiangyu MaCollege of Public Health, Southwest Medical University, Luzhou, Sichuan, China. xymacq@tmmu.edu.cn.

Funding

Chongqing Talents: Exceptional Young Talents Project CQYC202005003the National Key Research and Development Program of China Grant No. 2018YFC2000703the National Natural Science Foundation of China 82373643 and 8217121613the Outstanding Youth Science Fund of Chongqing cstc2020jcyjjqX0014
6 · The paper itself

Abstract

backgroundWith increasing incidence and treatment costs, chronic kidney disease (CKD) has become an important public health problem in China, especially in females. However, the genetic determinants are very limited. The estimated glomerular filtration rate (eGFR) based on creatinine is commonly used as a measure of renal function but can be easily affected by other factors. In contrast, eGFR based on both creatinine and cystatin C (eGFRcr-cys) improved the diagnostic accuracy of CKD. To our knowledge, no genome-wide association analysis of eGFRcr-cys has been conducted in the Chinese population.

methodsBy conducting a Genome-Wide association study(GWAS), a method used to identify associations between genetic regions (genomes) and traits/diseases, we examined the relationship between genetic factors and eGFRcr-cys in Chinese women, with 1983 participants and 3,838,121 variants included in the final analysis.

resultOne significant locus (20p11.21) was identified in the Chinese female population, which has been reported to be associated with eGFR based on cystatin C (eGFRcys) in the European population. More importantly, we found two new suggestive loci (1p31.1 and 11q24.2), which have not yet been reported. A total of three single nucleotide polymorphisms were identified as the most important variants in these regions, including rs2405367 (CST3), rs66588571(KRT8P21), and rs626995 (OR8B2).

conclusionWe identified 3 loci 20p11.21, 1p31.1, and 11q24.2 to be significantly associated with eGFRcr-cys. These findings and subsequent functional analysis describe new biological clues related to renal function in Chinese women and provide new ideas for the diagnosis and treatment development of CKD.

Indexed as

CreatinineCystatin CGenome-Wide Association StudyGlomerular Filtration RatePolymorphism, Single NucleotideAdultChinaEast Asian PeopleFemaleHumansKidneyMiddle AgedRenal Insufficiency, ChronicCreatinineCystatin CChronic kidney diseaseCystatin-CEstimated glomerular filtration rateGenome‑wide association study

Identifiers

PMID39558362
PMCPMC11575226

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.