The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism

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dc.contributor.authorStage, Eddie
dc.contributor.authorDuran, Tugce
dc.contributor.authorRisacher, Shannon L.
dc.contributor.authorGoukasian, Naira
dc.contributor.authorDo, Triet M.
dc.contributor.authorWest, John D.
dc.contributor.authorWilhalme, Holly
dc.contributor.authorNho, Kwangsik
dc.contributor.authorPhillips, Meredith
dc.contributor.authorElashoff, David
dc.contributor.authorSaykin, Andrew J.
dc.contributor.authorApostolova, Liana G.
dc.contributor.departmentDepartment of Neurology, IU School of Medicineen_US
dc.date.accessioned2017-05-01T20:01:30Z
dc.date.available2017-05-01T20:01:30Z
dc.date.issued2016-12-19
dc.description.abstractINTRODUCTION: We analyzed the effects of the top 20 Alzheimer disease (AD) risk genes on gray-matter density (GMD) and metabolism. METHODS: We ran stepwise linear regression analysis using posterior cingulate hypometabolism and medial temporal GMD as outcomes and all risk variants as predictors while controlling for age, gender, and APOE ε4 genotype. We explored the results in 3D using Statistical Parametric Mapping 8. RESULTS: Significant predictors of brain GMD were SLC24A4/RIN3 in the pooled and mild cognitive impairment (MCI); ZCWPW1 in the MCI; and ABCA7, EPHA1, and INPP5D in the AD groups. Significant predictors of hypometabolism were EPHA1 in the pooled, and SLC24A4/RIN3, NME8, and CD2AP in the normal control group. DISCUSSION: Multiple variants showed associations with GMD and brain metabolism. For most genes, the effects were limited to specific stages of the cognitive continuum, indicating that the genetic influences on brain metabolism and GMD in AD are complex and stage dependent.en_US
dc.identifier.citationStage, E., Duran, T., Risacher, S. L., Goukasian, N., Do, T. M., West, J. D., … Apostolova, L. G. (2016). The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism. Alzheimer’s & Dementia : Diagnosis, Assessment & Disease Monitoring, 5, 53–66. http://doi.org/10.1016/j.dadm.2016.12.003en_US
dc.identifier.urihttps://hdl.handle.net/1805/12393
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.dadm.2016.12.003en_US
dc.relation.journalAlzheimer’s & Dementia : Diagnosis, Assessment & Disease Monitoringen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.sourcePMCen_US
dc.subjectGenome-wide association studies (GWAS)en_US
dc.subjectGenetic variationen_US
dc.subjectImaging geneticsen_US
dc.subjectMagnetic resonance imaging (MRI)en_US
dc.subjectFluorodeoxyglucose positron emission tomography (FDG PET)en_US
dc.subjectAtrophyen_US
dc.subjectBrain metabolismen_US
dc.subjectRisk genesen_US
dc.subjectADNIen_US
dc.subjectBrain mappingen_US
dc.subjectStatistical parametric mapping (SPM)en_US
dc.subjectPositron emission tomography (PET)en_US
dc.subjectAlzheimer diseaseen_US
dc.titleThe effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolismen_US
dc.typeArticleen_US
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