Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cels.2017.10.016
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dc.titleAn Integrated Systems Genetics and Omics Toolkit to Probe Gene Function
dc.contributor.authorLi, Hao
dc.contributor.authorWang, Xu
dc.contributor.authorRukina, Daria
dc.contributor.authorHuang, Qingyao
dc.contributor.authorLin, Tao
dc.contributor.authorSorrentino, Vincenzo
dc.contributor.authorZhang, Hongbo
dc.contributor.authorSleiman, Maroun Bou
dc.contributor.authorArends, Danny
dc.contributor.authorMcDaid, Aaron
dc.contributor.authorLuan, Peiling
dc.contributor.authorZiari, Naveed
dc.contributor.authorVelazquez-Villegas, Laura A
dc.contributor.authorGariani, Karim
dc.contributor.authorKutalik, Zoltan
dc.contributor.authorSchoonjans, Kristina
dc.contributor.authorRadcliffe, Richard A
dc.contributor.authorPrins, Pjotr
dc.contributor.authorMorgenthaler, Stephan
dc.contributor.authorWilliams, Robert W
dc.contributor.authorAuwerx, Johan
dc.date.accessioned2024-04-09T07:47:26Z
dc.date.available2024-04-09T07:47:26Z
dc.date.issued2018-01-24
dc.identifier.citationLi, Hao, Wang, Xu, Rukina, Daria, Huang, Qingyao, Lin, Tao, Sorrentino, Vincenzo, Zhang, Hongbo, Sleiman, Maroun Bou, Arends, Danny, McDaid, Aaron, Luan, Peiling, Ziari, Naveed, Velazquez-Villegas, Laura A, Gariani, Karim, Kutalik, Zoltan, Schoonjans, Kristina, Radcliffe, Richard A, Prins, Pjotr, Morgenthaler, Stephan, Williams, Robert W, Auwerx, Johan (2018-01-24). An Integrated Systems Genetics and Omics Toolkit to Probe Gene Function. CELL SYSTEMS 6 (1) : 90-102. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cels.2017.10.016
dc.identifier.issn2405-4712
dc.identifier.issn2405-4720
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/247800
dc.description.abstractIdentifying genetic and environmental factors that impact complex traits and common diseases is a high biomedical priority. Here, we developed, validated, and implemented a series of multi-layered systems approaches, including (expression-based) phenome-wide association, transcriptome-/proteome-wide association, and (reverse-) mediation analysis, in an open-access web server (systems-genetics.org) to expedite the systems dissection of gene function. We applied these approaches to multi-omics datasets from the BXD mouse genetic reference population, and identified and validated associations between genes and clinical and molecular phenotypes, including previously unreported links between Rpl26 and body weight, and Cpt1a and lipid metabolism. Furthermore, through mediation and reverse-mediation analysis we established regulatory relations between genes, such as the co-regulation of BCKDHA and BCKDHB protein levels, and identified targets of transcription factors E2F6, ZFP277, and ZKSCAN1. Our multifaceted toolkit enabled the identification of gene-gene and gene-phenotype links that are robust and that translate well across populations and species, and can be universally applied to any populations with multi-omics datasets. Li et al. here develop and implement a series of systems tools and establish a web resource using multi-omics datasets of the BXD mouse cohort to identify novel associations between genes and phenotypes.
dc.language.isoen
dc.publisherCELL PRESS
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectBiochemistry & Molecular Biology
dc.subjectCell Biology
dc.subjectGENOME-WIDE ASSOCIATION
dc.subjectCANCER GENOMICS
dc.subjectCOMPLEX TRAITS
dc.subjectEXPRESSION
dc.subjectDISEASE
dc.subjectIDENTIFICATION
dc.subjectARCHITECTURE
dc.subjectTRANSPORTER
dc.subjectDISSECTION
dc.subjectPHENOTYPE
dc.typeArticle
dc.date.updated2024-04-08T10:19:15Z
dc.contributor.departmentBIOCHEMISTRY
dc.description.doi10.1016/j.cels.2017.10.016
dc.description.sourcetitleCELL SYSTEMS
dc.description.volume6
dc.description.issue1
dc.description.page90-102
dc.published.statePublished
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