<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>17(7)</volume><submitter>Huang X</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Allergic rhinitis (AR) is a pervasive global health issue, and currently, there is a scarcity of targeted drug therapies available. This study aims to identify potential druggable target genes for AR using Mendelian randomization (MR) analysis.&lt;h4>Methods&lt;/h4>MR analysis was conducted to assess the causal effect of expression quantitative trait loci (eQTL) in the blood on AR. Data on AR were collected from 2 datasets: FinnGen(R9) (11,009 cases and 359,149 controls) and UK Biobank (25,486 cases and 87,097 controls). Colocalization analysis was utilized to assess the common causal genetic variations between the identified drug target genes and AR. We also employed available genome-wide association studies (GWAS) data to gauge the impact of druggable genes on AR biomarkers </pubmed_abstract><journal>The World Allergy Organization journal</journal><pagination>100927</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11261789</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Unraveling genetic threads: Identifying novel therapeutic targets for allergic rhinitis through Mendelian randomization.</pubmed_title><pmcid>PMC11261789</pmcid><pubmed_authors>Zheng Z</pubmed_authors><pubmed_authors>Huang X</pubmed_authors><pubmed_authors>Shen R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Unraveling genetic threads: Identifying novel therapeutic targets for allergic rhinitis through Mendelian randomization.</name><description>&lt;h4>Background&lt;/h4>Allergic rhinitis (AR) is a pervasive global health issue, and currently, there is a scarcity of targeted drug therapies available. This study aims to identify potential druggable target genes for AR using Mendelian randomization (MR) analysis.&lt;h4>Methods&lt;/h4>MR analysis was conducted to assess the causal effect of expression quantitative trait loci (eQTL) in the blood on AR. Data on AR were collected from 2 datasets: FinnGen(R9) (11,009 cases and 359,149 controls) and UK Biobank (25,486 cases and 87,097 controls). Colocalization analysis was utilized to assess the common causal genetic variations between the identified drug target genes and AR. We also employed available genome-wide association studies (GWAS) data to gauge the impact of druggable genes on AR biomarkers </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2025-05-18T13:25:53.338Z</modification><creation>2025-05-18T13:25:53.338Z</creation></dates><accession>S-EPMC11261789</accession><cross_references><pubmed>39040085</pubmed><doi>10.1016/j.waojou.2024.100927</doi></cross_references></HashMap>