000864800 001__ 864800
000864800 005__ 20220930130217.0
000864800 0247_ $$2doi$$a10.1093/cercor/bhz127
000864800 0247_ $$2pmid$$apmid:31402375
000864800 0247_ $$2ISSN$$a1047-3211
000864800 0247_ $$2ISSN$$a1460-2199
000864800 0247_ $$2Handle$$a2128/24590
000864800 0247_ $$2altmetric$$aaltmetric:65062047
000864800 0247_ $$2WOS$$aWOS:000530440700029
000864800 037__ $$aFZJ-2019-04457
000864800 041__ $$aeng
000864800 082__ $$a610
000864800 1001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b0$$eCorresponding author
000864800 245__ $$aPathway-Specific Genetic Risk for Alzheimer's Disease Differentiates Regional Patterns of Cortical Atrophy in Older Adults
000864800 260__ $$aOxford$$bOxford Univ. Press$$c2020
000864800 3367_ $$2DRIVER$$aarticle
000864800 3367_ $$2DataCite$$aOutput Types/Journal article
000864800 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1585043705_3401
000864800 3367_ $$2BibTeX$$aARTICLE
000864800 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000864800 3367_ $$00$$2EndNote$$aJournal Article
000864800 520__ $$aBrain aging is highly variable and represents a challenge to delimit aging from disease processes. Moreover, genetic factors may influence both aging and disease. Here we focused on this issue and investigated effects of multiple genetic loci previously identified to be associated with late-onset Alzheimer's disease (AD) on brain structure of older adults from a population sample. We calculated a genetic risk score (GRS) using genome-wide significant single-nucleotide polymorphisms from genome-wide association studies of AD and tested its effect on cortical thickness (CT). We observed a common pattern of cortical thinning (right inferior frontal, left posterior temporal, medial occipital cortex). To identify CT changes by specific biological processes, we subdivided the GRS effect according to AD-associated pathways and performed follow-up analyses. The common pattern from the main analysis was further differentiated by pathway-specific effects yielding a more bilateral pattern. Further findings were located in the superior parietal and mid/anterior cingulate regions representing 2 unique pathway-specific patterns. All patterns, except the superior parietal pattern, were influenced by apolipoprotein E. Our step-wise approach revealed atrophy patterns that partially resembled imaging findings in early stages of AD. Our study provides evidence that genetic burden for AD contributes to structural brain variability in normal aging.
000864800 536__ $$0G:(DE-HGF)POF3-571$$a571 - Connectivity and Activity (POF3-571)$$cPOF3-571$$fPOF III$$x0
000864800 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000864800 588__ $$aDataset connected to CrossRef, PubMed,
000864800 7001_ $$0P:(DE-HGF)0$$aRöckner, Melanie E$$b1
000864800 7001_ $$0P:(DE-Juel1)145386$$aJockwitz, Christiane$$b2
000864800 7001_ $$0P:(DE-Juel1)166110$$aBittner, Nora$$b3
000864800 7001_ $$0P:(DE-HGF)0$$aTeumer, Alexander$$b4
000864800 7001_ $$0P:(DE-HGF)0$$aHerms, Stefan$$b5
000864800 7001_ $$0P:(DE-HGF)0$$aHoffmann, Per$$b6
000864800 7001_ $$0P:(DE-HGF)0$$aNöthen, Markus M$$b7
000864800 7001_ $$0P:(DE-HGF)0$$aMoebus, Susanne$$b8
000864800 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b9
000864800 7001_ $$0P:(DE-Juel1)140234$$aCichon, Sven$$b10$$eCorresponding author
000864800 7001_ $$0P:(DE-Juel1)156419$$aMühleisen, Thomas W$$b11
000864800 773__ $$0PERI:(DE-600)1483485-6$$a10.1093/cercor/bhz127$$gp. bhz127$$n2$$p801-811$$tCerebral cortex$$v30$$x1460-2199$$y2020
000864800 8564_ $$uhttps://juser.fz-juelich.de/record/864800/files/20190912172010473.pdf
000864800 8564_ $$uhttps://juser.fz-juelich.de/record/864800/files/20190919110818295.pdf
000864800 8564_ $$uhttps://juser.fz-juelich.de/record/864800/files/20190912172010473.pdf?subformat=pdfa$$xpdfa
000864800 8564_ $$uhttps://juser.fz-juelich.de/record/864800/files/20190919110818295.pdf?subformat=pdfa$$xpdfa
000864800 8564_ $$uhttps://juser.fz-juelich.de/record/864800/files/bhz127.pdf$$yOpenAccess
000864800 8564_ $$uhttps://juser.fz-juelich.de/record/864800/files/bhz127.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000864800 8767_ $$8E12884554$$92019-07-26$$d2019-09-12$$eHybrid-OA$$jZahlung erfolgt$$pbhz127
000864800 8767_ $$8E12985694$$92019-09-18$$d2019-09-19$$ePage charges$$jZahlung erfolgt$$pbhz127
000864800 8767_ $$8E12985694$$92019-09-19$$d2019-09-19$$eColour charges$$jZahlung erfolgt$$pbhz127
000864800 909CO $$ooai:juser.fz-juelich.de:864800$$popenCost$$pec_fundedresources$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire$$pdnbdelivery
000864800 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131675$$aForschungszentrum Jülich$$b0$$kFZJ
000864800 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145386$$aForschungszentrum Jülich$$b2$$kFZJ
000864800 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)166110$$aForschungszentrum Jülich$$b3$$kFZJ
000864800 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b9$$kFZJ
000864800 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)140234$$aForschungszentrum Jülich$$b10$$kFZJ
000864800 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156419$$aForschungszentrum Jülich$$b11$$kFZJ
000864800 9131_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
000864800 9141_ $$y2020
000864800 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000864800 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000864800 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCEREB CORTEX : 2017
000864800 915__ $$0LIC:(DE-HGF)CCBYNC4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial CC BY-NC 4.0
000864800 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000864800 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000864800 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000864800 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000864800 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bCEREB CORTEX : 2017
000864800 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000864800 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000864800 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000864800 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000864800 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000864800 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000864800 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000864800 980__ $$ajournal
000864800 980__ $$aVDB
000864800 980__ $$aUNRESTRICTED
000864800 980__ $$aI:(DE-Juel1)INM-1-20090406
000864800 980__ $$aAPC
000864800 9801_ $$aAPC
000864800 9801_ $$aFullTexts