Evidence map›Paper›PMID 34045940›Full record

ArticleFrontiers in neuroscience2021

Gene-Based Tests of a Genome-Wide Association Study Dataset Highlight Novel Multiple Sclerosis Risk Genes.

He Li, Xiaodan Hou, Yan Liang, Fang Xu, Xiyue Zhang, Pan Cui, Gebeili Xing, Xuejiao Wang, Wei Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Natural killer cells in multiple sclerosis: foe or friends?Frontiers in cellular neuroscience · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Neurodegenerative Disorder Risk in Krabbe Disease Carriers.International journal of molecular sciences · 2022
    Article
  10. Article
  11. Risk Factors from Pregnancy to Adulthood in Multiple Sclerosis Outcome.International journal of molecular sciences · 2022
    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

9 authors at 1 institution in 1 country.

He LiDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Xiaodan HouDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Yan LiangDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Fang XuDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Xiyue ZhangDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Pan CuiDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Gebeili XingDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Xuejiao WangDepartment of Neurology, Datong Third People's Hospital, Datong, China.
Wei JiangDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is an autoimmune disorder influenced by genetic and environmental factors. Many studies have provided insights into genetic factors' contribution to MS via large-scale genome-wide association study (GWAS) datasets. However, genetic variants identified to date do not adequately explain genetic risks for MS. This study hypothesized that novel MS risk genes could be identified by analyzing the MS-GWAS dataset using gene-based tests. We analyzed a GWAS dataset consisting of 9,772 MS cases and 17,376 healthy controls of European descent. We performed gene-based tests of 464,357 autosomal single nucleotide polymorphisms (SNPs) using two methods (PLINK and VEGAS2) and identified 28 shared genes satisfied

Indexed as

gene differential expressiongene expression omnibusgene setsgenome-wide association studymultiple sclerosis

Identifiers

PMID34045940
PMCPMC8144314
OpenAlexW3161445148

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.