Identification of genetic elements in metabolism by high-throughput mouse phenotyping
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rozman, Jan | - |
dc.contributor.author | Rathkolb, Birgit | - |
dc.contributor.author | Oestereicher, Manuela A. | - |
dc.contributor.author | Schütt, Christine | - |
dc.contributor.author | Ravindranath, Aakash Chavan | - |
dc.contributor.author | Leuchtenberger, Stefanie | - |
dc.contributor.author | Cho, Soo Young | - |
dc.date.accessioned | 2023-08-16T08:32:29Z | - |
dc.date.available | 2023-08-16T08:32:29Z | - |
dc.date.issued | 2018-01 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114377 | - |
dc.description.abstract | Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes. 429 of those had no previous link to metabolism and 51 genes remain functionally completely unannotated. We compared human orthologues of these uncharacterized genes in five GWAS consortia and indeed 23 candidate genes are associated with metabolic disease. We further identify common regulatory elements in promoters of candidate genes. As each regulatory element is composed of several transcription factor binding sites, our data reveal an extensive metabolic phenotype-associated network of co-regulated genes. Our systematic mouse phenotype analysis thus paves the way for full functional annotation of the genome. © 2017 The Author(s). | - |
dc.format.extent | 16 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Nature Publishing Group | - |
dc.title | Identification of genetic elements in metabolism by high-throughput mouse phenotyping | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1038/s41467-017-01995-2 | - |
dc.identifier.scopusid | 2-s2.0-85040788526 | - |
dc.identifier.wosid | 000422745800023 | - |
dc.identifier.bibliographicCitation | Nature Communications, v.9, no.1, pp 1 - 16 | - |
dc.citation.title | Nature Communications | - |
dc.citation.volume | 9 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 16 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | INSULIN-RESISTANCE | - |
dc.subject.keywordPlus | DIABETES-MELLITUS | - |
dc.subject.keywordPlus | GLYCEMIC TRAITS | - |
dc.subject.keywordPlus | VARIANTS | - |
dc.subject.keywordPlus | ARCHITECTURE | - |
dc.subject.keywordPlus | ASSOCIATION | - |
dc.subject.keywordPlus | CONSORTIUM | - |
dc.subject.keywordPlus | PATHWAYS | - |
dc.subject.keywordPlus | DISEASE | - |
dc.subject.keywordPlus | BIOLOGY | - |
dc.identifier.url | https://www.nature.com/articles/s41467-017-01995-2 | - |
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