Evidence map›Paper›PMID 35200038›Full record

ArticleBone & joint research2022

A large-scale genetic correlation scan between rheumatoid arthritis and human plasma protein.

Pan Luo, Shiqiang Cheng, Feng Zhang, Ruoyang Feng, Ke Xu, Wensen Jing, Peng Xu

Open access · goldAbstract read
In one paragraph

Article in Bone & joint research, 2022. 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
2.0field-weighted citation impact, top 13% 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, 12 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

7 authors at 2 institutions in 1 country.

Pan LuoDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.ORCID 0000-0003-0192-5112
Shiqiang ChengKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Feng ZhangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Ruoyang FengDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.
Ke XuDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.
Wensen JingDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.
Peng XuDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.ORCID 0000-0003-2487-9163
Xi'an Honghui Hospital · CNNational Health and Family Planning Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to explore the genetic correlation and causal relationship between blood plasma proteins and rheumatoid arthritis (RA).

methodsBased on the genome-wide association studies (GWAS) summary statistics of RA from European descent and the GWAS summary datasets of 3,622 plasma proteins, we explored the relationship between RA and plasma proteins from three aspects. First, linkage disequilibrium score regression (LD score regression) was applied to detect the genetic correlation between RA and plasma proteins. Mendelian randomization (MR) analysis was then used to evaluate the causal association between RA and plasma proteins. Finally, GEO2R was used to screen the differentially expressed genes (DEGs) between patients with RA and healthy controls.

resultsWe found that seven kinds of plasma proteins had genetic correlations with RA, such as Soluble Receptor for Advanced Glycation End Products (sRAGE) (correlation coefficient = 0.2582, p = 0.049), vesicle transport protein USE1 (correlation coefficient = 0.1337, p = 0.018), and spermatogenesis-associated protein 20 (correlation coefficient = 0.3706, p = 0.018). There was a significant causal relationship between sRAGE and RA. By comparing the genes encoding seven plasma proteins, we found that only USE1 was a DEG associated with RA.

conclusionOur study identified a set of candidate plasma proteins that showed signals correlated with RA. Since the results of this study need further experimental verification, they should be interpreted with caution. However, we hope that this paper will provide new insights for the discovery of pathogenic genes and RA pathogenesis in the future. Cite this article:

Indexed as

bloodcorrelation coefficientGenetic correlationjoint diseasespathogenesisPlasma proteinrandomized controlled trialsregression analysisRheumatoid arthritissingle nucleotide polymorphisms (SNPs)transport proteinvariance

Identifiers

PMID35200038
PMCPMC8882322
OpenAlexW4213435145

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.