{"data":{"id":"10.17608/k6.auckland.7295711.v1","type":"dois","attributes":{"doi":"10.17608/k6.auckland.7295711.v1","prefix":"10.17608","suffix":"k6.auckland.7295711.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Fadason, Tayaza","nameType":"Personal","givenName":"Tayaza","familyName":"Fadason","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1170-7883","nameIdentifierScheme":"ORCID"}]},{"name":"Schierding, William","nameType":"Personal","givenName":"William","familyName":"Schierding","affiliation":[],"nameIdentifiers":[]},{"name":"Lumley, Thomas","nameType":"Personal","givenName":"Thomas","familyName":"Lumley","affiliation":[],"nameIdentifiers":[]},{"name":"O'Sullivan, Justin","nameType":"Personal","givenName":"Justin","familyName":"O'Sullivan","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Supplementary Data 4. eQTLs in the poly-unsaturated fat metabolism cluster"}],"publisher":"The University of Auckland","container":{},"publicationYear":2018,"subjects":[{"subject":"110311 Medical Genetics (excl. Cancer Genetics)","subjectScheme":"FOR"},{"subject":"FOS: Basic medicine","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Basic medicine","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"60412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)","subjectScheme":"FOR"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Genetics"}],"contributors":[],"dates":[{"date":"2018-11-05","dateType":"Created"},{"date":"2018-11-05","dateType":"Updated"},{"date":"2018","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.17608/k6.auckland.7295711","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["12176 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-range regulatory associations involving \u0026gt;20,000 GWAS variants and their target genes (i.e. eGenes). Convex biclustering was then used to segregate phenotypes that share eGenes, which implies a common underlying molecular mechanism. In the cluster that is built around the \u003ci\u003eFADS\u003c/i\u003e locus, SNPs have inverse eQTL effects on \u003ci\u003eFADS1\u003c/i\u003e, \u003ci\u003eFADS2\u003c/i\u003e, and the other genes in the region. Here, the reference and alternate alleles of the SNP positions are given with their frequencies.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://auckland.figshare.com/articles/Supplementary_Data_4_eQTLs_in_the_poly-unsaturated_fat_metabolism_cluster/7295711/1","contentUrl":null,"metadataVersion":6,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2018-11-05T00:07:52.000Z","registered":"2018-11-05T00:07:53.000Z","published":"2018","updated":"2020-08-28T04:28:38.000Z"},"relationships":{"client":{"data":{"id":"nzau.data","type":"clients"}},"provider":{"data":{"id":"nzau","type":"providers"}},"media":{"data":{"id":"10.17608/k6.auckland.7295711.v1","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}