Aim: A genomic region on 5q33.3 lies between and encompasses the IL12B and PTTG1 genes, and contains many potential psoriasis causal variants. We aimed to further examine the influence of variants in and around this region.

Materials & Methods: We used least absolute shrinkage and selection operator (LASSO)-based regression analysis to assess independent contributions of 2171 variants to psoriasis susceptibility and tested them for association with different clinical psoriasis subtypes.

Results: We found that ADRA1B gene variants contribute to psoriasis in Chinese population. ADRA1B gene variants have a stronger association with moderate-to-severe disease group and an earlier age at onset of psoriasis than IL-12B and PTTG1 variants.

Conclusion: The association of variants in the ADRA1B gene with psoriasis could explain why variants in the IL-12B, ADRA1B and PTTG1 gene regions are associated with psoriasis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132640PMC
http://dx.doi.org/10.2217/epi-2018-0131DOI Listing

Publication Analysis

Top Keywords

adra1b gene
16
gene variants
12
variants
8
psoriasis
8
variants psoriasis
8
psoriasis susceptibility
8
chinese population
8
adra1b
5
gene
5
fine mapping
4

Similar Publications

Article Synopsis
  • * Researchers used various methods to analyze gene expression and develop a risk signature based on six identified genes that could predict survival and assess treatment effectiveness in THCA patients.
  • * The findings indicate a significant causal link between the gene CXCL8 and THCA risk, suggesting higher expression levels could lead to worse outcomes, which was confirmed through additional experimental methods.
View Article and Find Full Text PDF

Smoking is a leading cause of preventable morbidity and mortality. Smoking is heritable, and genome-wide association studies (GWASs) of smoking behaviors have identified hundreds of significant loci. Most GWAS-identified variants are noncoding with unknown neurobiological effects.

View Article and Find Full Text PDF

Aim: The aim was to build an exosome-related gene (ERG) risk model for thyroid cancer (TC) patients.

Methods: Note that, 510 TC samples from The Cancer Genome Atlas database and 121 ERGs from the ExoBCD database were obtained. Differential gene expression analysis was performed to get ERGs in TC (TERGs).

View Article and Find Full Text PDF

A novel feature selection algorithm for identifying hub genes in lung cancer.

Sci Rep

December 2023

Department of Information Systems, College of Computer and Information Sciences, Jouf University, 72388, Sakaka, Saudi Arabia.

Article Synopsis
  • Lung cancer significantly impacts global mortality, necessitating precise biomarker identification for effective diagnosis and treatment.
  • The study presents the Voting-Based Enhanced Binary Ebola Optimization Search Algorithm (VBEOSA), which integrates binary and Ebola optimization techniques to enhance feature selection in lung cancer research.
  • Through the analysis of gene expression datasets, the research identifies ten key hub genes and highlights important biological pathways, contributing to a deeper understanding of lung cancer’s molecular mechanisms and potential improvements in diagnostic methods.
View Article and Find Full Text PDF

Smoking is a leading cause of preventable morbidity and mortality. Smoking is heritable, and genome-wide association studies (GWAS) of smoking behaviors have identified hundreds of significant loci. Most GWAS-identified variants are noncoding with unknown neurobiological effects.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!