Evidence map›Paper›PMID 27898717›Full record

ArticlePloS one2016

Gene-Based Genome-Wide Association Analysis in European and Asian Populations Identified Novel Genes for Rheumatoid Arthritis.

Hong Zhu, Wei Xia, Xing-Bo Mo, Xiang Lin, Ying-Hua Qiu, Neng-Jun Yi, Yong-Hong Zhang, Fei-Yan Deng, Shu-Feng Lei

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 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
2.4field-weighted citation impact, top 11% 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, 50 citations in OpenAlex.

  1. Pooled it
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  12. The roles of FLOT1 in human diseases (Review).Molecular medicine reports · 2023
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  20. Association ofGenetics research · 2021
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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

9 authors at 2 institutions in 2 countries.

Hong ZhuCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Wei XiaCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Xing-Bo MoCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Xiang LinCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Ying-Hua QiuCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Neng-Jun YiDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Yong-Hong ZhangJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Soochow University · CNUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRheumatoid arthritis (RA) is a complex autoimmune disease. Using a gene-based association research strategy, the present study aims to detect unknown susceptibility to RA and to address the ethnic differences in genetic susceptibility to RA between European and Asian populations.

methodsGene-based association analyses were performed with KGG 2.5 by using publicly available large RA datasets (14,361 RA cases and 43,923 controls of European subjects, 4,873 RA cases and 17,642 controls of Asian Subjects). For the newly identified RA-associated genes, gene set enrichment analyses and protein-protein interactions analyses were carried out with DAVID and STRING version 10.0, respectively. Differential expression verification was conducted using 4 GEO datasets. The expression levels of three selected 'highly verified' genes were measured by ELISA among our in-house RA cases and controls.

resultsA total of 221 RA-associated genes were newly identified by gene-based association study, including 71'overlapped', 76 'European-specific' and 74 'Asian-specific' genes. Among them, 105 genes had significant differential expressions between RA patients and health controls at least in one dataset, especially for 20 genes including 11 'overlapped' (ABCF1, FLOT1, HLA-F, IER3, TUBB, ZKSCAN4, BTN3A3, HSP90AB1, CUTA, BRD2, HLA-DMA), 5 'European-specific' (PHTF1, RPS18, BAK1, TNFRSF14, SUOX) and 4 'Asian-specific' (RNASET2, HFE, BTN2A2, MAPK13) genes whose differential expressions were significant at least in three datasets. The protein expressions of two selected genes FLOT1 (P value = 1.70E-02) and HLA-DMA (P value = 4.70E-02) in plasma were significantly different in our in-house samples.

conclusionOur study identified 221 novel RA-associated genes and especially highlighted the importance of 20 candidate genes on RA. The results addressed ethnic genetic background differences for RA susceptibility between European and Asian populations and detected a long list of overlapped or ethnic specific RA genes. The study not only greatly increases our understanding of genetic susceptibility to RA, but also provides important insights into the ethno-genetic homogeneity and heterogeneity of RA in both ethnicities.

Indexed as

Gene Regulatory NetworksGenome-Wide Association StudyAdultAgedArthritis, RheumatoidAsian PeopleBiomarkersCase-Control StudiesFemaleGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideWhite PeopleYoung AdultBiomarkers

Identifiers

PMID27898717
PMCPMC5127563
OpenAlexW2559098281

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.