Evidence map›Paper›PMID 31350414›Full record

ArticleScientific reports2019

MICA*049, not MICA*009, is associated with Behçet's disease in a Chinese population.

Weifeng Zhu, Yan Deng, Jiucun Wang, Xinjian Guo, Weifeng Ding, Jiashuo Chao, Dan Lin, Yuqin Wang, Xiaodong Zhou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Genomic network analysis links uveitis with systemic inflammatory diseases.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Genetics in Behcet's Disease: An Update Review.Frontiers in ophthalmology · 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 5 institutions in 1 country.

Weifeng ZhuDepartment of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Nanchang University, Nanchang, China.
Yan DengDepartment of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Jiucun WangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Xinjian GuoDepartment of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Weifeng DingDepartment of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Jiashuo ChaoThe First Clinic Medical College, School of Medicine, Nanchang University, Nanchang, China.
Dan LinDepartment of Uveitis, The Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Yuqin WangDepartment of Uveitis, The Eye Hospital, Wenzhou Medical University, Wenzhou, China. yqwang57@163.com.
Xiaodong ZhouDepartment of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA. Xiaodong.Zhou@uth.tmc.edu.
Nanchang University · CNWenzhou Medical University · CNFudan University · CNNantong University · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behçet's disease (BD) is a multi-systemic inflammatory disease. Previous reports indicated that MICA*009 confers susceptibility to BD. MICA*049 differs from MICA*009:01, a major MICA*009 subtype, only at codon 335 in exon 6. However, the potential association of MICA*049 with BD  has not been addressed. In this study, we differentiated association among MICA*049, MICA*009 and HLA-B*51 with BD. A Han Chinese cohort consisting of 41 BD patients and 197 ethnically matched controls were examined with sequencing and T-ARMS-PCR for genotyping of MICA, and ARMS-PCR for HLA-B*51. The phenotype frequency of MICA*049 (41.5% versus 8.1%, OR = 8.01, P = 1.91 × 10

Indexed as

AllelesGene FrequencyAdultBehcet SyndromeChinaCohort StudiesFemaleGenetic Predisposition to DiseaseHLA-B51 AntigenHumansMaleMiddle AgedPhenotypePolymerase Chain ReactionPolymorphism, GeneticHLA-B51 Antigen

Identifiers

PMID31350414
PMCPMC6659628
OpenAlexW2964195162

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.