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dc.date.accessioned2020-04-11T19:08:21Z
dc.date.available2020-04-11T19:08:21Z
dc.date.created2019-10-17T09:34:44Z
dc.date.issued2019
dc.identifier.citationMadireddy, L Patsopoulos, NA Cotsapas, C Bos, Steffan Daniel Beecham, Ashley McCauley, J Kim, K Jia, X Santaniello, A Caillier, SJ Andlauer, TFM Barcellos, Lisa Berge, Tone Bernardinelli, L Martinelli-Boneschi, F Booth, D Briggs, Farren Celius, Elisabeth Gulowsen Comabella, M Comi, G Cree, BAC D'Alfonso, S Dedham, K Duquette, P. Dardiotis, E Esposito, F Gasperi, Christiane Goris, A Dubois, B Gourraud, PA Hadjigeorgiou, GM Haines, J Hawkins, C Hemmer, B Hintzen, R Horakova, D Isobe, N Kalra, S Kira, Jun-ichi Khalil, M Kockum, I Lill, CM Lincoln, Michelle Luessi, F Martin, R Oturai, A Palotie, A Pericak-Vance, MA Henry, R Saarela, J Ivinson, Adrian Olsson, Thomas Taylor, Bruce Stewart, GJ Harbo, Hanne Flinstad Compston, A Hauser, SL Hafler, DA Zipp, F De Jager, P Sawcer, S Oksenberg, JR Baranzini, SE . A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis.. Nature Communications. 2019, 10
dc.identifier.urihttp://hdl.handle.net/10852/74486
dc.description.abstractGenome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations has proven extremely difficult. Even determining which cell types and which particular gene(s) are relevant continues to be a challenge. Here, we conduct a cell-specific pathway analysis of the latest GWAS in multiple sclerosis (MS), which had analyzed a total of 47,351 cases and 68,284 healthy controls and found more than 200 non-MHC genome-wide associations. Our analysis identifies pan immune cell as well as cell-specific susceptibility genes in T cells, B cells and monocytes. Finally, genotype-level data from 2,370 patients and 412 controls is used to compute intra-individual and cell-specific susceptibility pathways that offer a biological interpretation of the individual genetic risk to MS. This approach could be adopted in any other complex trait for which genome-wide data is available.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis.
dc.typeJournal article
dc.creator.authorMadireddy, L
dc.creator.authorPatsopoulos, NA
dc.creator.authorCotsapas, C
dc.creator.authorBos, Steffan Daniel
dc.creator.authorBeecham, Ashley
dc.creator.authorMcCauley, J
dc.creator.authorKim, K
dc.creator.authorJia, X
dc.creator.authorSantaniello, A
dc.creator.authorCaillier, SJ
dc.creator.authorAndlauer, TFM
dc.creator.authorBarcellos, Lisa
dc.creator.authorBerge, Tone
dc.creator.authorBernardinelli, L
dc.creator.authorMartinelli-Boneschi, F
dc.creator.authorBooth, D
dc.creator.authorBriggs, Farren
dc.creator.authorCelius, Elisabeth Gulowsen
dc.creator.authorComabella, M
dc.creator.authorComi, G
dc.creator.authorCree, BAC
dc.creator.authorD'Alfonso, S
dc.creator.authorDedham, K
dc.creator.authorDuquette, P.
dc.creator.authorDardiotis, E
dc.creator.authorEsposito, F
dc.creator.authorGasperi, Christiane
dc.creator.authorGoris, A
dc.creator.authorDubois, B
dc.creator.authorGourraud, PA
dc.creator.authorHadjigeorgiou, GM
dc.creator.authorHaines, J
dc.creator.authorHawkins, C
dc.creator.authorHemmer, B
dc.creator.authorHintzen, R
dc.creator.authorHorakova, D
dc.creator.authorIsobe, N
dc.creator.authorKalra, S
dc.creator.authorKira, Jun-ichi
dc.creator.authorKhalil, M
dc.creator.authorKockum, I
dc.creator.authorLill, CM
dc.creator.authorLincoln, Michelle
dc.creator.authorLuessi, F
dc.creator.authorMartin, R
dc.creator.authorOturai, A
dc.creator.authorPalotie, A
dc.creator.authorPericak-Vance, MA
dc.creator.authorHenry, R
dc.creator.authorSaarela, J
dc.creator.authorIvinson, Adrian
dc.creator.authorOlsson, Thomas
dc.creator.authorTaylor, Bruce
dc.creator.authorStewart, GJ
dc.creator.authorHarbo, Hanne Flinstad
dc.creator.authorCompston, A
dc.creator.authorHauser, SL
dc.creator.authorHafler, DA
dc.creator.authorZipp, F
dc.creator.authorDe Jager, P
dc.creator.authorSawcer, S
dc.creator.authorOksenberg, JR
dc.creator.authorBaranzini, SE
cristin.unitcode185,53,42,13
cristin.unitnameNevrologisk avdeling
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin1770667
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Nature Communications&rft.volume=10&rft.spage=&rft.date=2019
dc.identifier.jtitleNature Communications
dc.identifier.volume10
dc.identifier.issue1
dc.identifier.pagecount12
dc.identifier.doihttps://doi.org/10.1038/s41467-019-09773-y
dc.identifier.urnURN:NBN:no-77586
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2041-1723
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/74486/1/41467_2019_Article_9773.pdf
dc.type.versionPublishedVersion
cristin.articleid2236


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