Evidence map›Paper›PMID 29016630›Full record

ArticlePloS one2017

Association between kidney function and genetic polymorphisms in atherosclerotic and chronic kidney diseases: A cross-sectional study in Japanese male workers.

Yoko Kubo, Takahiro Imaizumi, Masahiko Ando, Masahiro Nakatochi, Yoshinari Yasuda, Hiroyuki Honda, Yachiyo Kuwatsuka, Sawako Kato, Kyoko Kikuchi, Takaaki Kondo and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
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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

17 authors at 3 institutions in 1 country.

Yoko KuboCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan.
Takahiro ImaizumiDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masahiko AndoCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan.ORCID http://orcid.org/0000-0003-2891-5424
Masahiro NakatochiCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan.
Yoshinari YasudaDepartment of CKD Initiatives, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hiroyuki HondaDepartment of Biotechnology, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
Yachiyo KuwatsukaCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan.
Sawako KatoDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kyoko KikuchiDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takaaki KondoProgram in Radiological and Medical Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masamitsu IwataSafety and Health Promotion Division, Toyota Motor Corporation, Toyota, Japan.
Toru NakashimaSafety and Health Promotion Division, Toyota Motor Corporation, Toyota, Japan.
Hiroshi YasuiSafety and Health Promotion Division, Toyota Motor Corporation, Toyota, Japan.
Hideki TakamatsuR & D Management Division, Toyota Motor Corporation, Toyota, Japan.
Hiroshi OkajimaR & D Management Division, Toyota Motor Corporation, Toyota, Japan.
Yasuko YoshidaInnovative Research Center for Preventative Medical Engineering, Nagoya University, Nagoya, Japan.
Shoichi MaruyamaDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nagoya University · JPToyota Motor Corporation (Japan) · JPNagoya University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral single nucleotide polymorphisms (SNPs) have been implicated in the predisposition to chronic kidney disease (CKD). Atherosclerotic disease is deeply involved in the incidence of CKD; however, whether SNPs related to arteriosclerosis are involved in CKD remains unclear. This study aimed to identify SNPs associated with CKD and to examine whether risk allele accumulation is associated with CKD.

methodsWe conducted a cross-sectional study using data of 4814 male workers to examine the association between estimated glomerular filtration rate (eGFR) and 59 candidate polymorphisms (17 CKD, 42 atherosclerotic diseases). We defined the genetic risk score (GRS) as the total number of risk alleles that showed a significant association in this analysis and examined the relationship with CKD (eGFR < 60 ml/min/1.73m2). Multivariate logistic regression, discrimination by area under the receiver operating characteristic curve, integrated discrimination improvement (IDI), and category-free net reclassification improvement (cNRI) were evaluated.

resultsIn total, 432 participants were categorized as having CKD. We found eight candidate SNPs with P value < 0.05 (CX3CR1 rs3732379, SHROOM3 rs17319721, MTP rs1800591, PIP5K1B rs4744712, APOA5 rs662799, BRAP rs3782886, SPATA5L1 rs2467853, and MCP1 rs1024611) in the multivariate linear regression adjusted for age, body mass index, systolic blood pressure, and fasting blood glucose. Among these eight SNPs, BRAP rs3782886 and SPATA5L1 rs2467853 were significantly associated with eGFR (false discovery rate < 0.05). GRS was significantly associated with CKD (odds ratio, 1.17; 95% confidence interval, 1.09-1.26). C-statisics improved from 0.775 to 0.780 but showed no statistical significance. However, adding GRS significantly improved IDI and cNRI (0.0057, P = 0.0028, and 0.212, P < 0.001, respectively).

conclusionsAfter adjustment for clinical factors, kidney function was associated with BRAP rs3782886 and SPATA5L1 rs2467853 and the GRS for CKD that we developed was associated CKD.

Indexed as

Genetic Predisposition to DiseaseAdultAllelesAsian PeopleAtherosclerosisGenetic Association StudiesGenotypeHumansJapanKidneyKidney Failure, ChronicMaleMiddle AgedPolymorphism, Single NucleotideRenal Insufficiency, ChronicRisk Factors

Identifiers

PMID29016630
PMCPMC5634546
OpenAlexW2761528806

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.