Evidence map›Paper›PMID 27550484›Full record

ArticleJournal of Korean medical science2016

Genetic Association for P2X7R rs3751142 and CARD8 rs2043211 Polymorphisms for Susceptibility of Gout in Korean Men: Multi-Center Study.

Sung Won Lee, Shin Seok Lee, Dong Ho Oh, Dong Jin Park, Hyun Sook Kim, Jung Ran Choi, Soo Cheon Chae, Ki Jung Yun, Won Tae Chung, Jung Yoon Choe and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of Korean medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

11 authors at 6 institutions in 1 country.

Sung Won LeeDivision of Rheumatology, Department of Internal Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID http://orcid.org/0000-0003-1213-1254
Shin Seok LeeDepartment of Rheumatology, Chonnam National University Medical School, Gwangju, Korea.ORCID http://orcid.org/0000-0001-6810-7355
Dong Ho OhDepartment of Internal Medicine, Pohang Saint Mary's Hospital, Pohang, Korea.ORCID http://orcid.org/0000-0003-3611-052X
Dong Jin ParkDepartment of Rheumatology, Chonnam National University Medical School, Gwangju, Korea.ORCID http://orcid.org/0000-0002-8709-987X
Hyun Sook KimDivision of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0001-9213-7140
Jung Ran ChoiDepartment of Internal Medicine, Pohang Saint Mary's Hospital, Pohang, Korea.ORCID http://orcid.org/0000-0001-6710-9201
Soo Cheon ChaeDepartment of Pathology, School of Medicine, Wonkwang University, Iksan, Korea.ORCID http://orcid.org/0000-0002-5427-714X
Ki Jung YunDepartment of Pathology, School of Medicine, Wonkwang University, Iksan, Korea.ORCID http://orcid.org/0000-0001-9830-0797
Won Tae ChungDivision of Rheumatology, Department of Internal Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID http://orcid.org/0000-0002-1585-1022
Jung Yoon ChoeDivision of Rheumatology, Department of Internal Medicine, Arthritis and Autoimmunity Research Center, Catholic University of Daegu School of Medicine, Daegu, Korea.ORCID http://orcid.org/0000-0003-0957-0395
Seong Kyu KimDivision of Rheumatology, Department of Internal Medicine, Arthritis and Autoimmunity Research Center, Catholic University of Daegu School of Medicine, Daegu, Korea. kimsk714@cu.ac.kr.ORCID http://orcid.org/0000-0002-7780-0167
Chonnam National University · KRDaegu Catholic University · KRPohang TechnoPark (South Korea) · KRWonkwang University · KRDong-A University · KRSoonchunhyang University Hospital Seoul · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to determine the association between P2X7R rs3751142 and CARD8 rs2043211 polymorphisms and gout susceptibility in male Korean subjects. This study enrolled a total of 242 male patients with gout and 280 healthy controls. The polymorphisms of two individual genes including rs3751142(C>A) in the P2X7R gene and rs2043211(A>T) in the CARD8 gene were assessed using Taq-Man analysis. Statistical analyses were performed using the Chi-square test, Kruskal-Wallis test, and logistic regression analyses. A difference in genotypic frequency of the P2X7R rs3751142 and CARD8 rs2043211 genes was not detected between gout and control patients. Clinical parameters including age, onset age, disease duration, body mass index, and serum uric acid levels were not different among the three genotypes for either P2X7R or CARD8 (P > 0.05 for all). A pair-wise comparison of P2X7R rs3751142 and CARD8 rs2043211 genotype combinations revealed that subjects with the CA P2X7R rs3751142 genotype and the TT CARD8 rs2043211 genotype had a trend toward a higher risk of gout compared to the CC/AA combination (P = 0.056, OR = 2.618, 95% CI 0.975 - 7.031). In conclusion, this study revealed that genetic variability of the P2X7R rs3751142 and CARD8 rs2043211 genes might, in part, be associated with susceptibility for gout.

Indexed as

AdultAge of OnsetAsian PeopleBody Mass IndexCARD Signaling Adaptor ProteinsCase-Control StudiesDisease SusceptibilityGene FrequencyGenotypeGoutHumansLogistic ModelsMaleMiddle AgedNeoplasm ProteinsOdds RatioCARD8 protein, humanCARD Signaling Adaptor ProteinsNeoplasm ProteinsP2RX7 protein, humanReceptors, Purinergic P2X7Uric AcidCARD8GoutInflammasomeP2X7RPolymorphism

Identifiers

PMID27550484
PMCPMC4999398
OpenAlexW2508793363

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.