Evidence map›Paper›PMID 23516070›Full record

ArticleMolecular biology reports2013

The association between a single nucleotide polymorphism rs11966200 in MHC region and clinical features of generalized vitiligo in Chinese Han population.

Jin Tang, Jian Lan Liu, Cheng Zhang, Da Yan Hu, Su Min He, Xian Bo Zuo, Pei Guang Wang, Liang Dan Sun, Xue Jun Zhang, Sen Yang

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Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 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

10 authors at 2 institutions in 1 country.

Jin TangInstitute of Dermatology and Department of Dermatology at No.1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
Jian Lan Liu
Cheng Zhang
Da Yan Hu
Su Min He
Xian Bo Zuo
Pei Guang Wang
Liang Dan Sun
Xue Jun Zhang
Sen Yang
Anhui Medical University · CNMinistry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo is an acquired pigmentary disorder characterized by loss of epidermal melanocytes. A strong association at a single nucleotide polymorphism (SNP) rs11966200 within MHC region had been identified in a recent genome-wide association study of generalized vitiligo in Chinese Han population. This study aims to investigate the relationships between SNP rs11966200 and the clinical features of generalized vitiligo in Chinese Han population. We compared the allele and genotype frequency among different vitiligo subphenotypes including age onset, extent of disease, clinical subtypes, family history of vitiligo and history of autoimmune disease. Our data showed SNP rs11966200 was associated with early-onset vitiligo (onset age ≤ 20 years) (odds ratio [OR], 1.54; p = 2.01 × 10(-13)), moderate-severe vitiligo (involved body surface ≥ 5 %) (OR, 1.17; p = 0.025), vitiligo vulgaris (OR, 1.13; p = 0.043), and focal vitiligo (OR, 0.86; p = 0.018). The study suggested that the underlying risk causal allele tagged by SNP rs11966200 might not only play important roles in the development of vitiligo, but also contribute to the diverse clinical characteristics of generalized vitiligo at least in Chinese Han population.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdultAge of OnsetAllelesAsian PeopleCase-Control StudiesChinaEthnicityFemaleGenotyping TechniquesHumansMajor Histocompatibility ComplexMalePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID23516070
OpenAlexW2034951170

What OpenQuestion holds

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Read underepoch 390

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.