{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T16:15:36Z","timestamp":1790957736273,"version":"4.1.0"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"D1","license":[{"start":{"date-parts":[[2020,11,27]],"date-time":"2020-11-27T00:00:00Z","timestamp":1606435200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"PolyKnomics BV"},{"name":"Russian Ministry of Education and Science"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Genome-wide association studies have provided a vast array of publicly available SNP \u00d7 phenotype association results. However, they are often in disparate repositories and formats, making downstream analyses difficult and time consuming. PheLiGe (https:\/\/phelige.com) is a database that provides easy access to such results via a web interface. The underlying database currently stores &amp;gt;75 billion genotype\u2013phenotype associations from 7347 genome-wide and 1.2 million region-wide (e.g. cis-eQTL) association scans. The web interface allows for investigation of regional genotype-phenotype associations across many phenotypes, giving insights into the biological function affected by the variant in question. Furthermore, PheLiGe can compare regional patterns of association between different traits. This analysis can ascertain whether a co-association is due to pleiotropy or linkage. Moreover, comparison of association patterns for a complex trait of interest and gene expression and protein levels can implicate causal genes.<\/jats:p>","DOI":"10.1093\/nar\/gkaa1086","type":"journal-article","created":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T19:09:31Z","timestamp":1603566571000},"page":"D1347-D1350","source":"Crossref","is-referenced-by-count":21,"title":["PheLiGe: an interactive database of billions of human genotype\u2013phenotype associations"],"prefix":"10.1093","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8754-8727","authenticated-orcid":false,"given":"Tatiana I","family":"Shashkova","sequence":"first","affiliation":[{"name":"Theoretical and Applied Functional Genomics Laboratory, Novosibirsk State University, Novosibirsk 630090, Russia"},{"name":"Department of Molecular and Biological physics, Moscow Institute of Physics and Technology (State University), Moscow 117303, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eugene D","family":"Pakhomov","sequence":"additional","affiliation":[{"name":"Theoretical and Applied Functional Genomics Laboratory, Novosibirsk State University, Novosibirsk 630090, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Denis D","family":"Gorev","sequence":"additional","affiliation":[{"name":"Theoretical and Applied Functional Genomics Laboratory, Novosibirsk State University, Novosibirsk 630090, Russia"},{"name":"Department of Algorithms and Programming Technologies, Moscow Institute of Physics and Technology (State University), Moscow 117303, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lennart C","family":"Karssen","sequence":"additional","affiliation":[{"name":"PolyKnomics, \u2019s-Hertogenbosch 5237 PA, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter K","family":"Joshi","sequence":"additional","affiliation":[{"name":"Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, Scotland, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yurii S","family":"Aulchenko","sequence":"additional","affiliation":[{"name":"Theoretical and Applied Functional Genomics Laboratory, Novosibirsk State University, Novosibirsk 630090, Russia"},{"name":"PolyKnomics, \u2019s-Hertogenbosch 5237 PA, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,11,27]]},"reference":[{"key":"2021010313135606700_B1","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1038\/nrg2178","article-title":"Genome\u2013wide association studies provide new insights into type 2 diabetes aetiology","volume":"8","author":"Frayling","year":"2007","journal-title":"Nat. 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