Show simple item record

dc.contributor.authorChattopadhyay, S
dc.contributor.authorThomsen, H
dc.contributor.authorYadav, P
dc.contributor.authorda Silva Filho, MI
dc.contributor.authorWeinhold, N
dc.contributor.authorNöthen, MM
dc.contributor.authorHoffman, P
dc.contributor.authorBertsch, U
dc.contributor.authorHuhn, S
dc.contributor.authorMorgan, GJ
dc.contributor.authorGoldschmidt, H
dc.contributor.authorHoulston, R
dc.contributor.authorHemminki, K
dc.contributor.authorFörsti, A
dc.date.accessioned2020-06-09T12:02:21Z
dc.date.issued2019-03-04
dc.identifier.citationCommunications biology, 2019, 2 pp. 89 - ?
dc.identifier.issn2399-3642
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3713
dc.identifier.eissn2399-3642
dc.identifier.doi10.1038/s42003-019-0329-2
dc.description.abstractInherited genetic susceptibility to multiple myeloma has been investigated in a number of studies. Although 23 individual risk loci have been identified, much of the genetic heritability remains unknown. Here we carried out genome-wide interaction analyses on two European cohorts accounting for 3,999 cases and 7,266 controls and characterized genetic susceptibility to multiple myeloma with subsequent meta-analysis that discovered 16 unique interacting loci. These risk loci along with previously known variants explain 17% of the heritability in liability scale. The genes associated with the interacting loci were found to be enriched in transforming growth factor beta signaling and circadian rhythm regulation pathways suggesting immunoglobulin trait modulation, TH17 cell differentiation and bone morphogenesis as mechanistic links between the predisposition markers and intrinsic multiple myeloma biology. Further tissue/cell-type enrichment analysis associated the discovered genes with hemic-immune system tissue types and immune-related cell types indicating overall involvement in immune response.
dc.formatElectronic-eCollection
dc.format.extent89 - ?
dc.languageeng
dc.language.isoeng
dc.publisherNATURE PORTFOLIO
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectMultiple Myeloma
dc.subjectDisease Susceptibility
dc.subjectGenetic Predisposition to Disease
dc.subjectChromosome Mapping
dc.subjectSignal Transduction
dc.subjectPolymorphism, Single Nucleotide
dc.subjectGene Regulatory Networks
dc.subjectGenome-Wide Association Study
dc.subjectGenetic Loci
dc.titleGenome-wide interaction and pathway-based identification of key regulators in multiple myeloma.
dc.typeJournal Article
dcterms.dateAccepted2019-01-29
rioxxterms.versionofrecord10.1038/s42003-019-0329-2
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2019-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfCommunications biology
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.publication-statusPublished
pubs.volume2
pubs.embargo.termsNot known
icr.researchteamCancer Genomics
dc.contributor.icrauthorHoulston, Richard


Files in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0