{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T18:02:00Z","timestamp":1776276120667,"version":"3.50.1"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T00:00:00Z","timestamp":1630281600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["HG009976"],"award-info":[{"award-number":["HG009976"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["HL137182"],"award-info":[{"award-number":["HL137182"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundations of National Institutes of Health","award":["BOEH15AMP"],"award-info":[{"award-number":["BOEH15AMP"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Expression quantitative trait loci (eQTLs) characterize the associations between genetic variation and gene expression to provide insights into tissue-specific gene regulation. Interactive visualization of tissue-specific eQTLs or splice QTLs (sQTLs) can facilitate our understanding of functional variants relevant to disease-related traits. However, combining the multi-dimensional nature of eQTLs\/sQTLs into a concise and informative visualization is challenging. Existing QTL visualization tools provide useful ways to summarize the unprecedented scale of transcriptomic data but are not necessarily tailored to answer questions about the functional interpretations of trait-associated variants or other variants of interest. We developed FIVEx, an interactive eQTL\/sQTL browser with an intuitive interface tailored to the functional interpretation of associated variants. It features the ability to navigate seamlessly between different data views while providing relevant tissue- and locus-specific information to offer users a better understanding of population-scale multi-tissue transcriptomic profiles. Our implementation of the FIVEx browser on the EBI eQTL catalogue, encompassing 16 publicly available RNA-seq studies, provides important insights for understanding potential tissue-specific regulatory mechanisms underlying trait-associated signals.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>A FIVEx instance visualizing EBI eQTL catalogue data can be found at https:\/\/fivex.sph.umich.edu. Its source code is open source under an MIT license at https:\/\/github.com\/statgen\/fivex.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab614","type":"journal-article","created":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T13:51:33Z","timestamp":1630331493000},"page":"559-561","source":"Crossref","is-referenced-by-count":46,"title":["FIVEx: an interactive eQTL browser across public datasets"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0779-7126","authenticated-orcid":false,"given":"Alan","family":"Kwong","sequence":"first","affiliation":[{"name":"Department of Biostatistics, The Center for Statistical Genetics, University of Michigan , Ann Arbor, MI 48109, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0318-4912","authenticated-orcid":false,"given":"Andrew P","family":"Boughton","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, The Center for Statistical Genetics, University of Michigan , Ann Arbor, MI 48109, USA"}]},{"given":"Mukai","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, The Center for Statistical Genetics, University of Michigan , Ann Arbor, MI 48109, USA"}]},{"given":"Peter","family":"VandeHaar","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, The Center for Statistical Genetics, University of Michigan , Ann Arbor, MI 48109, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6442-7754","authenticated-orcid":false,"given":"Michael","family":"Boehnke","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, The Center for Statistical Genetics, University of Michigan , Ann Arbor, MI 48109, USA"}]},{"given":"Gon\u00e7alo","family":"Abecasis","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, The Center for Statistical Genetics, University of Michigan , Ann Arbor, MI 48109, USA"}]},{"given":"Hyun Min","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, The Center for Statistical Genetics, University of Michigan , Ann Arbor, MI 48109, USA"}]}],"member":"286","published-online":{"date-parts":[[2021,8,30]]},"reference":[{"key":"2023020108414784500_btab614-B1","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1126\/science.aaz1776","article-title":"The GTEx Consortium atlas of genetic regulatory effects across human tissues","volume":"369","author":"Aguet","year":"2020","journal-title":"Science"},{"key":"2023020108414784500_btab614-B2","doi-asserted-by":"crossref","first-page":"e41673","DOI":"10.7554\/eLife.41673","article-title":"Genetic effects on promoter usage are highly context-specific and contribute to complex traits","volume":"8","author":"Alasoo","year":"2019","journal-title":"Elife"},{"key":"2023020108414784500_btab614-B3","doi-asserted-by":"crossref","first-page":"3017","DOI":"10.1093\/bioinformatics\/btab186","article-title":"LocusZoom.js: interactive and embeddable visualization of genetic association study results","volume":"37","author":"Boughton","year":"2021","journal-title":"Bioinformatics"},{"key":"2023020108414784500_btab614-B4","doi-asserted-by":"crossref","first-page":"D1056","DOI":"10.1093\/nar\/gky1133","article-title":"Open Targets Platform: new developments and updates two years on","volume":"47","author":"Carvalho-Silva","year":"2019","journal-title":"Nucleic Acids Res"},{"key":"2023020108414784500_btab614-B5","doi-asserted-by":"crossref","first-page":"169","DOI":"10.2217\/epi-2018-0150","article-title":"Tissue-specific epigenetics of atherosclerosis-related ANGPT and ANGPTL genes","volume":"11","author":"Ehrlich","year":"2019","journal-title":"Epigenomics"},{"key":"2023020108414784500_btab614-B6","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1038\/s41588-020-0622-5","article-title":"Exploring and visualizing large-scale genetic associations by using PheWeb","volume":"52","author":"Gagliano Taliun","year":"2020","journal-title":"Nat. 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