Evidence map›Paper›PMID 26886631›Full record

SynthesisMedicine2016

Single Nucleotide Polymorphisms and Osteoarthritis: An Overview and a Meta-Analysis.

Ting Wang, Yuting Liang, Hong Li, Haibo Li, Quanze He, Ying Xue, Cong Shen, Chunhua Zhang, Jingjing Xiang, Jie Ding and 2 more

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Frontiers in plant science · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Genetics in Cartilage Lesions: Basic Science and Therapy Approaches.International journal of molecular sciences · 2020
    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

12 authors at 1 institution in 1 country.

Ting WangFrom the Center for Reproduction and Genetics (TW, HL, HL, QH, YX, CS, CZ, JX, JD, LQ), Suzhou Hospital affiliated to Nanjing Medical University, Suzhou, Jiangsu; Department of Laboratory Medicine (YL), Shanghai First People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai; Department of Hematology and Hematological Laboratory Science (QZ), Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China (QZ); and Department of Anatomy and Cell Biology (QZ), Rush University Medical Center, Chicago, IL.
Yuting Liang
Hong Li
Haibo Li
Quanze He
Ying Xue
Cong Shen
Chunhua Zhang
Jingjing Xiang
Jie Ding
Longwei Qiao
Qiping Zheng
Suzhou Kowloon Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a complex disorder characterized by degenerative articular cartilage and is largely attributed to genetic risk factors. Single nucleotide polymorphisms (SNPs) are common DNA variants that have shown promising and efficiency, compared with positional cloning, to map candidate genes of complex diseases, including OA. In this study, we aim to provide an overview of multiple SNPs from a number of genes that have recently been linked to OA susceptibility. We also performed a comprehensive meta-analysis to evaluate the association of SNP rs7639618 of double von Willebrand factor A domains (DVWA) gene with OA susceptibility. A systematic search of studies on the association of SNPs with susceptibility to OA was conducted in PubMed and Google scholar. Studies subjected to meta-analysis include human and case-control studies that met the Hardy-Weinberg equilibrium model and provide sufficient data to calculate an odds ratio (OR). A total of 9500 OA cases and 9365 controls in 7 case-control studies relating to SNP rs7639618 were included in this study and the ORs with 95% confidence intervals (CIs) were calculated. Over 50 SNPs from different genes have been shown to be associated with either hip (23), or knee (20), or both (13) OA. The ORs of these SNPs for OA and the subtypes are not consistent. As to SNP rs7639618 of DVWA, increased knee OA risk was observed in all genetic models analyzed. Specifically, people from Asian with G-allele showed significantly increased risk of knee OA (A versus G: OR = 1.28, 95% CI 1.13-1.46; AA versus GG: OR = 1.60, 95% CI 1.25-2.05; GA versus GG: OR = 1.31, 95% CI 1.18-1.44; AA versus GA+GG: OR = 1.34, 95% CI 1.12-1.61; AA+GA versus GG: OR = 1.40, 95% CI 1.19-1.64), but not in Caucasians or with hip OA. Our results suggest that multiple SNPs play different roles in the pathogenesis of OA and its subtypes; SNP rs7639618 of DVWA gene is associated with a significantly increased risk of knee OA in Asians. Given the limited sample size, further studies are needed to evaluate this observation.

Indexed as

Polymorphism, Single NucleotideCollagen Type VIGenetic HeterogeneityGenetic Predisposition to DiseaseHumansOdds RatioOsteoarthritisPseudogenesCOL6A4P1 protein, humanCollagen Type VI

Identifiers

PMID26886631
PMCPMC4998631
OpenAlexW2280500068

What OpenQuestion holds

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LicenceCC BY-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.