Evidence map›Paper›PMID 26617691›Full record

SynthesisInternational journal of clinical and experimental pathology2015

A meta-analysis of the associations between the Q141K and Q126X ABCG2 gene variants and gout risk.

Rui Li, Lei Miao, Liyan Qin, Yang Xiang, Xiaojin Zhang, Hui Peng, Mailamuguli, Yuping Sun, Hua Yao

Abstract readMeta-Analysis
In one paragraph

Synthesis in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Cannabis Pharmacogenomics: A Path to Personalized Medicine.Current issues in molecular biology · 2023
    Review
  9. ABCG2 in Acute Myeloid Leukemia: Old and New Perspectives.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Multidrug efflux transporter ABCG2: expression and regulation.Cellular and molecular life sciences : CMLS · 2021
    Review
  12. Review
  13. Review
  14. Review
  15. 3D structure of the transporter ABCG2-What's new?British journal of pharmacology · 2020
    Review
  16. Review
  17. Interaction of the p.Q141K Variant of theJournal of clinical medicine · 2019
    Article
  18. Polymorphisms ofMedicina (Kaunas, Lithuania) · 2019
    Article
  19. An update on the genetics of hyperuricaemia and gout.Nature reviews. Rheumatology · 2018
    Review
  20. 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

9 authors.

Rui LiSchool of Public Health, Xinjiang Medical University Urumqi, Xinjiang, China.
Lei MiaoSchool of Public Health, Xinjiang Medical University Urumqi, Xinjiang, China.
Liyan QinSchool of Public Health, Xinjiang Medical University Urumqi, Xinjiang, China.
Yang XiangSchool of Public Health, Xinjiang Medical University Urumqi, Xinjiang, China.
Xiaojin ZhangThe First Affiliated Hospital of Xinjiang Medical University Urumqi, Xinjiang, China.
Hui PengClinical Laboratory, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region Urumqi, Xinjiang, China.
MailamuguliSchool of Public Health, Xinjiang Medical University Urumqi, Xinjiang, China.
Yuping SunSchool of Basic Medical Sciences, Xinjiang Medical University Urumqi, Xinjiang, China.
Hua YaoThe First Affiliated Hospital of Xinjiang Medical University Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGout is an inflammatory disease in which genetic factors play a role. ABCG2 is a urate transporter, and the Q141K and Q126X variants of ABCG2 have been associated with a risk of developing gout, though previous studies of these associations have been inconsistent. Therefore, we conducted a meta-analysis to explore the relationship between these genetic variants and gout.

methodsWe examined 8 electronic literature databases. In total, 9 eligible articles on the associations between the Q141K (rs2231142) and Q126X (rs72552713) variants and gout risk, including 11 case-control studies were selected. We used odds ratios (OR) and 95% confidence intervals (CI) to assess the strength of these relationships in dominant, recessive, and co-dominant models.

resultsThis study included 6652 participants (2499 gout patients and 4153 controls). The Q141K variant was found to significantly increase the risk of gout in Asians (dominant model: OR=2.64, 95% CI=2.04-3.43, P=0.02 for heterogeneity; recessive model: OR=3.19, 95% CI=2.56-3.97, P=0.28 for heterogeneity; co-dominant model: OR=1.37, 95% CI=1.18-1.59, P=0.09 for heterogeneity) and other populations (dominant model: OR=1.85, 95% CI=1.20-2.85, P<0.0001 for heterogeneity; recessive model: OR=3.78, 95% CI=2.28-6.27, P=0.19 for heterogeneity; co-dominant model: OR=1.48, 95% CI=1.26-1.74, P=0.19 for heterogeneity). The Q126X variant also significantly increased the risk of gout in Asians (dominant model: OR=3.87, 95% CI=2.07-7.24, P=0.06 for heterogeneity).

conclusionsThese results suggest associations between the rs2231142 and rs72552713 ABCG2 gene polymorphisms and gout risk, which led to unfavorable outcomes. However, studies with larger sample sizes and homogeneous populations should be performed to confirm these results.

Indexed as

Asian PeopleATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2Genetic Predisposition to DiseaseGoutHumansNeoplasm ProteinsOdds RatioPolymorphism, Single NucleotideABCG2 protein, humanATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2Neoplasm ProteinsGoutmeta-analysisQ126XQ141Ksingle nucleotide polymorphism

Identifiers

PMID26617691
PMCPMC4637776

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.