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dc.contributor.authorLehmann, DJ
dc.contributor.authorWilliams, J
dc.contributor.authorMcBroom, J
dc.contributor.authorSmith, AD
dc.date.accessioned2006-07-28
dc.date.accessioned2017-03-02T00:01:02Z
dc.date.available2017-03-02T00:01:02Z
dc.date.issued2001
dc.date.modified2014-05-07T01:15:27Z
dc.identifier.issn0306-4522
dc.identifier.doi10.1016/S0306-4522(01)00464-X
dc.identifier.urihttp://hdl.handle.net/10072/58344
dc.description.abstractIn late-onset Alzheimer’s disease, there is a puzzling inconsistency between the findings of case-control studies of most proposed risk genes, except apolipoprotein E ϵ4. This inconsistency may stem from the failure to define the genetic and non-genetic interactions that affect the disease association of each particular susceptibility gene. Such interactions will limit the influence of the gene to a ‘relevant subset’ of vulnerable people. The relevant subsets for many risk genes will be narrow, compared to that of apolipoprotein E ϵ4. Studies may therefore miss the association or even suggest that a risk gene is protective. In these circumstances, the precise composition of a cohort is critical and defining the relevant subset is crucial. We illustrate how such definition may be achieved through meta-analysis. We take as an example the butyrylcholinesterase K variant, whose association with Alzheimer’s disease may now be provisionally defined. This analysis leads to the identification of a potentially high-risk group: over 75 year old male carriers of both apolipoprotein E ϵ4 and butyrylcholinesterase K variant.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofpagefrom541
dc.relation.ispartofpageto554
dc.relation.ispartofissue4
dc.relation.ispartofjournalNeuroscience
dc.relation.ispartofvolume108
dc.subject.fieldofresearchNeurosciences
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchCognitive Sciences
dc.subject.fieldofresearchcode1109
dc.subject.fieldofresearchcode1701
dc.subject.fieldofresearchcode1702
dc.titleUsing meta–analysis to explain the diversity of results in genetic studies of late–onset Alzheimer’s disease and to identify high–risk subgroups
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyFaculty of Environmental Sciences
gro.date.issued2001
gro.hasfulltextNo Full Text
gro.griffith.authorMcBroom, James


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