{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T16:55:35Z","timestamp":1782579335722,"version":"3.54.5"},"reference-count":30,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T00:00:00Z","timestamp":1762128000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T00:00:00Z","timestamp":1762128000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100009110","name":"Natural Science Foundation of Xinjiang Uygur Autonomous Region","doi-asserted-by":"publisher","award":["2024D01D14"],"award-info":[{"award-number":["2024D01D14"]}],"id":[{"id":"10.13039\/100009110","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["movementdisorders.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Movement Disorders"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The genetic architecture of essential tremor (ET) remains incompletely understood. A key challenge is translating genome\u2010wide association study (GWAS) loci into specific effector genes to elucidate disease mechanisms and develop targeted therapies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To implement a multistage computational framework to prioritize high\u2010confidence candidate genes for ET and to assess these predictions against publicly available, patient\u2010derived transcriptomic data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We employed a convergent evidence strategy to prioritize genes, integrating cross\u2010tissue (UTMOST) and tissue\u2010specific (FUSION) transcriptome\u2010wide association studies (TWAS) with gene\u2010based association tests (MAGMA). Prioritized genes were subjected to causal inference analyses (summary\u2010data\u2010based Mendelian randomization [SMR] and colocalization), co\u2010expression network analysis (GeneMANIA), and pharmacogenomic analysis (DGIdb). We leveraged spatial transcriptomics to characterize gene expression patterns across cortical layers and cell types. Finally, we validated computational predictions using two independent post\u2010mortem brain datasets from ET patients and controls.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Our prioritization pipeline identified 12 high\u2010confidence candidate genes. Co\u2010expression network analysis revealed 83.3% of candidates exhibit functional relationships, forming three modules centered on RNA processing (\n                      <jats:italic>NRBP1<\/jats:italic>\n                      ), metabolic regulation (\n                      <jats:italic>SLC5A6<\/jats:italic>\n                      ), and nucleotide synthesis (\n                      <jats:italic>CAD<\/jats:italic>\n                      ). Pharmacogenomic analysis demonstrated 66.7% of candidates possess therapeutic target potential. Spatial transcriptomics revealed preferential expression in cortical Layer 5 pyramidal neurons. However, validation in post\u2010mortem cerebellar tissue showed no significant differential expression.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our study provides a robust pipeline for ET gene prioritization and puts forward a novel cortical hypothesis for the disease. The discordance between strong computational predictions and their lack of validation in available patient tissue highlights a critical gap in the field. \u00a9 2025 International Parkinson and Movement Disorder Society.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mds.70101","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T20:16:33Z","timestamp":1762200993000},"page":"351-360","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Integrative Multi\u2010Omics Analysis Prioritizes Candidate Genes for Essential Tremor and Reveals a Gap Between Computational Prediction and Experimental Validation"],"prefix":"10.1002","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2535-1889","authenticated-orcid":false,"given":"Aishanjiang","family":"Yusufujiang","sequence":"first","affiliation":[{"name":"Department of Neurology People's Hospital of Xinjiang Uygur 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