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dc.contributor.authorGonzales, Natalia M.
dc.contributor.authorSeo, Jungkyun
dc.contributor.authorHernandez Cordero, Ana
dc.contributor.authorSt. Pierre, Celine
dc.contributor.authorGregory, Jennifer
dc.contributor.authorDistler, Margaret
dc.contributor.authorAbney, Mark
dc.contributor.authorCanzar, Stefan
dc.contributor.authorLionikas, Arimantas
dc.contributor.authorPalmer, Abraham
dc.date.accessioned2018-12-14T11:20:11Z
dc.date.available2018-12-14T11:20:11Z
dc.date.issued2018-12-04
dc.identifier.citationGonzales , N M , Seo , J , Hernandez Cordero , A , St. Pierre , C , Gregory , J , Distler , M , Abney , M , Canzar , S , Lionikas , A & Palmer , A 2018 , ' Genome wide association analysis in a mouse advanced intercross line ' , Nature Communications , vol. 9 , 5162 . https://doi.org/10.1038/s41467-018-07642-8en
dc.identifier.issn2041-1723
dc.identifier.otherPURE: 140670824
dc.identifier.otherPURE UUID: c38bc7d9-9e69-45a8-9759-8136237a29b7
dc.identifier.otherScopus: 85057585332
dc.identifier.urihttp://hdl.handle.net/2164/11651
dc.descriptionWe are grateful to Heather Lawson at Washington University in St. Louis for providing LG and SM genome sequences. We thank the Gilad Lab and Functional Genomics Facility at the University of Chicago for generating DNA- and RNA-seq data. We wish to acknowledge outstanding technical assistance from Apurva Chitre at UCSD and Mike Jarsulic at the Biological Sciences Division Center for Research Informatics at the University of Chicago. We thank Clarissa Parker, John Novembre, Graham McVicker, Joe Davis, Peter Carbonetto and Shyam Gopalakrishnan for advice, training, and mentorship. Our work was funded by NIDA (AAP: R01DA021336) and NIAMS (AL: R01AR056280). We received additional support from NIGMS (NMG: T32GM007197; MGD: T32GM07281), NIDA (NMG: F31DA03635803), NHGRI (MA: R01 HG002899), and the IMS Elphinstone Scholarship at the University of Aberdeen (AIHC). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.en
dc.language.isoeng
dc.relation.ispartofNature Communicationsen
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectbehavioural geneticsen
dc.subjectgenetic association studyen
dc.subjectgeneticsen
dc.subjectheritable quantitative traiten
dc.subjectquantitative traiten
dc.subjectR Medicineen
dc.subject.lccRen
dc.titleGenome wide association analysis in a mouse advanced intercross lineen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Medicine, Medical Sciences & Nutritionen
dc.contributor.institutionUniversity of Aberdeen.Medical Educationen
dc.contributor.institutionUniversity of Aberdeen.Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Institute of Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Clinical Medicineen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1038/s41467-018-07642-8


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