{"doi":"10.1101/2020.10.25.20219188","title":"Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder","abstract":"Abstract Objectives To prioritize genes that are pleiotropically or potentially causally associated with the risk of MDD. Methods We applied the summary data-based Mendelian randomization (SMR) method integrating GWAS and expression quantitative trait loci (eQTL) data in 13 brain regions to identify genes that were pleiotropically associated with the risk of MDD. In addition, we repeated the analysis by using the meta-analyzed version of the eQTL summary data in the brain (brain-eMeta). Results We identified multiple significant genes across different brain regions that may be involved in the pathogenesis of MDD. The prime-specific gene BTN3A2 (corresponding probe: ENSG00000186470.9) was the top hit showing pleotropic association with MDD in 9 of the 13 brain regions and in brain-eMeta, after correction for multiple testing. Many of the identified genes are located in the human major histocompatibility complex (MHC) region on chromosome 6 and are mainly involved in immune response. Conclusions Our SMR analysis revealed that multiple genes showed pleiotropic association with MDD across the brain regions. These findings provide important leads to a better understanding of the mechanism of MDD, and reveals potential therapeutic targets for the prevention and effective treatment of MDD.","journal":"medRxiv","year":2020,"id":122343,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9333,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":309255,"name":"Di Liu","orcid":"0000-0003-3693-2726","position":1,"is_corresponding":false},{"id":309257,"name":"Chuntao Zhao","orcid":"0000-0002-2226-3827","position":2,"is_corresponding":false},{"id":310173,"name":"Bowen Feng","orcid":null,"position":3,"is_corresponding":false},{"id":563349,"name":"Wenjin Lu","orcid":"0000-0001-7038-3789","position":4,"is_corresponding":false},{"id":563350,"name":"Xiaohan Yang","orcid":"0000-0001-5207-4210","position":5,"is_corresponding":false},{"id":564046,"name":"Minglu Xu","orcid":null,"position":6,"is_corresponding":false},{"id":564047,"name":"Weizhu Zhou","orcid":null,"position":7,"is_corresponding":false},{"id":563351,"name":"Huiquan Jing","orcid":"0000-0002-5619-6589","position":8,"is_corresponding":false},{"id":309256,"name":"Jingyun Yang","orcid":"0000-0002-3495-3710","position":9,"is_corresponding":false},{"id":564045,"name":"Huarong Yang","orcid":null,"position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-18T23:14:51.076430Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}