Evidence map›Paper›PMID 30315195›Full record

ArticleScientific reports2018

Discovering Genetic Factors for psoriasis through exhaustively searching for significant second order SNP-SNP interactions.

Kwan-Yeung Lee, Kwong-Sak Leung, Nelson L S Tang, Man-Hon Wong

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Genetic Polymorphisms ofDisease markers · 2021
    Article
  13. Article
  14. Psoriasis and Genetics.Acta dermato-venereologica · 2020
    Review
  15. Article
  16. 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

4 authors.

Kwan-Yeung LeeDepartment of Computer Science and Engineering, the Chinese University of Hong Kong, Hong Kong, China. kylee@cse.cuhk.edu.hk.
Kwong-Sak LeungDepartment of Computer Science and Engineering, the Chinese University of Hong Kong, Hong Kong, China.
Nelson L S TangDepartment of Chemical Pathology, the Chinese University of Hong Kong, Hong Kong, China. nelsontang@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-3607-5819
Man-Hon WongDepartment of Computer Science and Engineering, the Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we aim at discovering genetic factors of psoriasis through searching for statistically significant SNP-SNP interactions exhaustively from two real psoriasis genome-wide association study datasets (phs000019.v1.p1 and phs000982.v1.p1) downloaded from the database of Genotypes and Phenotypes. To deal with the enormous search space, our search algorithm is accelerated with eight biological plausible interaction patterns and a pre-computed look-up table. After our search, we have discovered several SNPs having a stronger association to psoriasis when they are in combination with another SNP and these combinations may be non-linear interactions. Among the top 20 SNP-SNP interactions being found in terms of pairwise p-value and improvement metric value, we have discovered 27 novel potential psoriasis-associated SNPs where most of them are reported to be eQTLs of a number of known psoriasis-associated genes. On the other hand, we have inferred a gene network after selecting the top 10000 SNP-SNP interactions in terms of improvement metric value and we have discovered a novel long distance interaction between XXbac-BPG154L12.4 and RNU6-283P which is not a long distance haplotype and may be a new discovery. Finally, our experiments with the synthetic datasets have shown that our pre-computed look-up table technique can significantly speed up the search process.

Indexed as

Epistasis, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideAllelesCase-Control StudiesComputational BiologyGene Regulatory NetworksGenotypeHaplotypesHumansPhenotypePsoriasis

Identifiers

PMID30315195
PMCPMC6185942

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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.