Evidence map›Paper›PMID 29020033›Full record

ArticlePloS one2017

Genotype combination contributes to psoriasis: An exhaustive algorithm perspective.

Jinfa Dou, Huimin Guo, Fang Cheng, Hequn Huang, Liying Fu, Longnian Li, Chao Yang, Lei Ye, Leilei Wen, Yuyan Cheng and 13 more

Abstract read
In one paragraph

Article in PloS one, 2017. 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
–field-weighted citation impact
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.

  1. Article
  2. Dysregulation of Connexin Expression Plays a Pivotal Role in Psoriasis.International journal of molecular sciences · 2021
    Article
  3. Psoriasis and Genetics.Acta dermato-venereologica · 2020
    Review
  4. Review
  5. Article
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

23 authors.

Jinfa DouInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Huimin GuoInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Fang ChengInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Hequn HuangInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Liying FuInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Longnian LiThe Department of Dermatology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Chao YangInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Lei YeInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Leilei WenInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Yuyan ChengInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Lili TangInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Caihong ZhuInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Zhengwei ZhuInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Wenjun WangInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Yujun ShengInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Zaixing WangInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Shengxiu LiuInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Xing FanInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Xianbo ZuoInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Fusheng ZhouInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Liangdan SunInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Xiaodong ZhengInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.
Xuejun ZhangInstitute of Dermatology and Department of Dermatology at No. 1 Hospital, Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers have learned that nearly all conditions and diseases have a genetic component. With the benefit of technological advances, many single-nucleotide polymorphisms (SNPs) have been found to be associated with the risk of complex disorders by using genome wide association studies (GWASs). Disease-associated SNPs are sometimes shared by healthy controls and cannot clearly distinguish affected individuals from unaffected ones. The combined effects of multiple independent SNPs contribute to the disease process, but revealing the relationship between genotype and phenotype based on the combinations remains a great challenge. In this study, by considering the disease prevalence rate, we conducted an exhaustive process to identify whether a genotype combination pattern would have a decisive effect on complex disorders. Based on genotype data for 68 reported SNPs in 8,372 psoriasis patients and 8,510 healthy controls, we found that putative causal genotype combination patterns (CGCPs) were only present in psoriasis patients, not in healthy subjects. These results suggested that psoriasis might be contributed by combined genotypes, complementing the traditional modest susceptibility of a single variant in a single gene for a complex disease. This work is the first systematic study to analyze genotype combinations based on the reported susceptibility genes, considering each individual among the cases and controls from the Chinese population, and could potentially advance disease-gene mapping and precision medicine due to the causality relationship between the candidate CGCPs and complex diseases.

Indexed as

AlgorithmsGenetic Predisposition to DiseaseAdultAllelesChromosomes, HumanFemaleGenotyping TechniquesHumansMalePolymorphism, Single NucleotidePsoriasisSurveys and Questionnaires

Identifiers

PMID29020033
PMCPMC5636117

What OpenQuestion holds

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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.