Evidence map›Paper›PMID 21475550›Full record

ArticleInternational journal of health sciences2010

Molecular genetics of Psoriasis (Principles, technology, gene location, genetic polymorphism and gene expression).

Ahmad A Al Robaee

Open access · greenAbstract read
In one paragraph

Article in International journal of health sciences, 2010. 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
0.4field-weighted citation impact, top 33% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Ahmad A Al RobaeeDepartment of Dermatology, College of Medicine, Qassim University, Saudi Arabia.
Qassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriasis is a common inflammatory skin disease with an etiology bases on both environmental and genetic factors. As is the case of many autoimmune diseases its real cause remains poorly defined. However, it is known that genetic factors contribute to disease susceptibility. The linkage analysis has been used to identify multiple loci and alleles that confer risk of the disease. Some other studies have focused upon single nucleotide polymorphisms (SNPs) for mapping of probable causal variants. Other studies, using genome-wide analytical techniques, tried to link the disease to copy number variants (CNVs) that are segments of DNA ranging in size from kilobases to megabases that vary in copy number. CNVs represent an important element of genomic polymorphism in humans and harboring dosage-sensitive genes may cause or predispose to a variety of human genetic diseases. The mechanisms giving rise to SNPs and CNVs can be considered as fundamental processes underlying gene duplications, deletions, insertions, inversions and complex combinations of rearrangements. The duplicated genes being the results of 'successful' copies are fixed and maintained in the population. Conversely, many 'unsuccessful' duplicates remain in the genome as pseudogenes. There is another form of genetic variations termed copy-neutral loss of heterozygosity (LOH) with less information about their potential impact on complex diseases. Additional studies would include associated gene expression variations with either SNPs or CNVs. Now many genetic techniques such as PCR, real time PCR, microarray and restriction fragment length analysis are available for detecting genetic polymorphisms, gene mapping and estimation of gene expression. Recently, the scientists have used these tools to define genetic signatures of disease, to understand genetic causes of disease and to characterize the effects of certain drugs on gene expression. This review highlights the principles, technology and applications on psoriasis.

Indexed as

CytokineGenesPsoriasis

Identifiers

PMID21475550
PMCPMC3068834
OpenAlexW1845058780

What OpenQuestion holds

Textmetadata
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.