Evidence map›Paper›PMID 27014584›Full record

ArticleMeta gene2016

Genetic polymorphisms of interleukin genes and the risk of Alzheimer's disease: An update meta-analysis.

Myung-Jin Mun, Jin-Ho Kim, Ji-Young Choi, Won-Cheoul Jang

Open access · hybridAbstract read
In one paragraph

Article in Meta gene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Brain interleukins and Alzheimer's disease.Metabolic brain disease · 2025
    Review
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  9. Article
  10. Article
  11. Review
  12. COVID-19 and Alzheimer's Disease.Brain sciences · 2021
    Review
  13. Article
  14. Review
  15. Associations ofFrontiers in aging neuroscience · 2021
    Article
  16. Investigation of Genetic Variations ofLife (Basel, Switzerland) · 2020
    Article
  17. Review
  18. Article
  19. Review
  20. Review
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 1 institution in 1 country.

Myung-Jin MunDepartment of Nanobiomedical Science and BK21 PLUS NBM Global Research Center for Regenerative Medicine, Dankook University Graduate School, South Korea; Department of Chemistry, School of Natural Science, Dankook University, Cheonan 330-714, South Korea; Institute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 330-714, South Korea.
Jin-Ho KimDepartment of Chemistry, School of Natural Science, Dankook University, Cheonan 330-714, South Korea.
Ji-Young ChoiDepartment of Chemistry, School of Natural Science, Dankook University, Cheonan 330-714, South Korea.
Won-Cheoul JangDepartment of Chemistry, School of Natural Science, Dankook University, Cheonan 330-714, South Korea.
Dankook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRecently, several meta-analyses have reported an association between interleukin (IL) gene polymorphisms and the risk of Alzheimer's disease (AD). Several further papers discussing the relationship with the risk of AD have recently been published. The aim of this meta-analysis was to re-evaluate and update the associations between IL gene polymorphisms and the risk of AD.

methodsThe search sources were PubMed, Science Direct, Scopus, and Google Scholar up to July 2015, and the following search terms were used: "interleukin 1 or interleukin 6 or interleukin 10" and "variant or polymorphism or SNP" in combination with "Alzheimer's disease". A meta-analysis using the pooled odds ratios and 95% confidence intervals was carried out to assess the associations between four polymorphisms of IL genes (- 889C > T in IL-1α, - 511C > T in IL-1β, - 174G > C in IL-6 and - 1082G > A in IL-10) and the risk of AD under the heterozygous, homozygous, dominant, and recessive models with fixed- or random-effects models.

resultsA total of 21,864 cases and 40,321 controls from 93 individual studies were included in this meta-analysis. Our results indicated that the - 889C > T polymorphism was strongly associated with the increased risk of AD. However, three polymorphisms were not associated with the risk of AD.

conclusionsSimilar to previous meta-analyses, our updated meta-analysis suggested that the - 889C > T polymorphism may be a factor in AD. However, the results of our meta-analysis of the - 174G > C polymorphism differed from those of previous meta-analyses. Consequently, we suggest that the - 174G > C polymorphism may not be a risk factor for AD.

Indexed as

AD, Alzheimer's diseaseAlzheimer's diseaseCI, confidence intervalCytokineHWE, Hardy–Weinberg equilibriumIL, InterleukinInterleukinMeta-analysisOR, odds ratioPolymorphismSNP, sing nucleotide polymorphism

Identifiers

PMID27014584
PMCPMC4792847
OpenAlexW2280687288

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.