Evidence map›Paper›PMID 27938332›Full record

ArticleBMC medical genetics2016

A single nucleotide polymorphism in the UMOD promoter is associated with end stage renal disease.

Tingyu Chen, Qianliao Wang, Guisen Li, Li Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Tingyu ChenRenal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China.
Qianliao WangRenal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China.
Guisen LiRenal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China. guisenli@163.com.
Li WangRenal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China.
Fourth People's Hospital of Sichuan Province · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral genome-wide association studies revealed that several variants of UMOD gene were related to the estimated glomerular filtration rate (eGFR), CKD or hypertension. In this study, we investigated the association between a common variant rs13333226 in the promoter region of UMOD gene and end stage renal disease (ESRD).

methodsVariant rs13333226 of UMOD gene was genotyped by using the ABI Real time TaqMan allelic discrimination assay in a case-control study including 638 unrelated patients with ESRD and 366 controls.

resultsThe frequency of UMOD SNP rs13333226 GG/GA genotype was significantly higher (36.83% vs. 20.22%, P = 4.02 × 10

conclusionsA common variation rs13333226 in the promoter region of UMOD gene was independently associated with ESRD in Han Chinese.

Indexed as

Polymorphism, Single NucleotideAdolescentAdultAgedAged, 80 and overAllelesCase-Control StudiesChinaFemaleGene FrequencyGenome-Wide Association StudyGenotypeHumansKidney Failure, ChronicMaleMiddle AgedUMOD protein, humanUromodulinEnd stage renal diseaseSingle-nucleotide polymorphismUMOD

Identifiers

PMID27938332
PMCPMC5148830
OpenAlexW2560673323

What OpenQuestion holds

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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.