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Cited 25 time in webofscience Cited 26 time in scopus
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Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease

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dc.contributor.authorAli, Muhammad-
dc.contributor.authorArcher, Derek B.-
dc.contributor.authorGorijala, Priyanka-
dc.contributor.authorWestern, Daniel-
dc.contributor.authorTimsina, Jigyasha-
dc.contributor.authorFernández, Maria V.-
dc.contributor.authorWang, Ting-Chen-
dc.contributor.authorSatizabal, Claudia L.-
dc.contributor.authorYang, Qiong-
dc.contributor.authorBeiser, Alexa S.-
dc.contributor.authorWang, Ruiqi-
dc.contributor.authorChen, Gengsheng-
dc.contributor.authorGordon, Brian-
dc.contributor.authorBenzinger, Tammie L. S.-
dc.contributor.authorXiong, Chengjie-
dc.contributor.authorMorris, John C.-
dc.contributor.authorBateman, Randall J.-
dc.contributor.authorKarch, Celeste M.-
dc.contributor.authorMcDade, Eric-
dc.contributor.authorGoate, Alison-
dc.contributor.authorSeshadri, Sudha-
dc.contributor.authorMayeux, Richard P.-
dc.contributor.authorSperling, Reisa A.-
dc.contributor.authorBuckley, Rachel F.-
dc.contributor.authorJohnson, Keith A.-
dc.contributor.authorWon, Hong-Hee-
dc.contributor.authorJung, Sang-Hyuk-
dc.contributor.authorKim, Hang-Rai-
dc.contributor.authorSeo, Sang Won-
dc.contributor.authorKim, Hee Jin-
dc.contributor.authorMormino, Elizabeth-
dc.contributor.authorLaws, Simon M.-
dc.contributor.authorFan, Kang-Hsien-
dc.contributor.authorKamboh, M. Ilyas-
dc.contributor.authorVemuri, Prashanthi-
dc.contributor.authorRamanan, Vijay K.-
dc.contributor.authorYang, Hyun-Sik-
dc.contributor.authorWenzel, Allen-
dc.contributor.authorRajula, Hema Sekhar Reddy-
dc.contributor.authorMishra, Aniket-
dc.contributor.authorDufouil, Carole-
dc.contributor.authorDebette, Stephanie-
dc.contributor.authorLopez, Oscar L.-
dc.contributor.authorDeKosky, Steven T.-
dc.contributor.authorTao, Feifei-
dc.contributor.authorNagle, Michael W.-
dc.contributor.authorHohman, Timothy J.-
dc.contributor.authorSung, Yun Ju-
dc.contributor.authorDumitrescu, Logan-
dc.contributor.authorCruchaga, Carlos-
dc.date.accessioned2024-08-08T08:30:33Z-
dc.date.available2024-08-08T08:30:33Z-
dc.date.issued2023-04-
dc.identifier.issn2051-5960-
dc.identifier.issn2051-5960-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/20329-
dc.description.abstractAmyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (A beta) deposits in the brain and to study Alzheimer's disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from multicenter cohorts to identify variants associated with brain amyloidosis and AD risk. We found a strong APOE signal on chr19q.13.32 (top SNP: APOE e4; rs429358; beta = 0.35, SE = 0.01, P = 6.2 x 10(-311), MAF = 0.19), driven by APOE e4, and five additional novel associations (APOE epsilon 2/rs7412; rs73052335/rs5117, rs1081105, rs438811, and rs4420638) independent of APOE e4. APOE e4 and epsilon 2 showed race specific effect with stronger association in Non-Hispanic Whites, with the lowest association in Asians. Besides the APOE, we also identified three other genome-wide loci: ABCA7 (rs12151021/chr19p.13.3; beta = 0.07, SE = 0.01, P = 9.2 x 10(-09), MAF = 0.32), CR1 (rs6656401/chr1q.32.2; beta = 0.1, SE = 0.02, P = 2.4 x 10(-10), MAF = 0.18) and FERMT2 locus (rs117834516/chr14q.22.1; beta = 0.16, SE = 0.03, P = 1.1 x 10(-09), MAF = 0.06) that all colocalized with AD risk. Sex-stratified analyses identified two novel female-specific signals on chr5p.14.1 (rs529007143, beta = 0.79, SE = 0.14, P = 1.4 x 10(-08), MAF = 0.006, sex-interaction P = 9.8 x 10(-07)) and chr11p.15.2 (rs192346166, beta = 0.94, SE = 0.17, P = 3.7 x 10(-08), MAF = 0.004, sex-interaction P = 1.3 x 10(-03)). We also demonstrated that the overall genetic architecture of brain amyloidosis overlaps with that of AD, Frontotemporal Dementia, stroke, and brain structure-related complex human traits. Overall, our results have important implications when estimating the individual risk to a population level, as race and sex will needed to be taken into account. This may affect participant selection for future clinical trials and therapies.-
dc.language영어-
dc.language.isoENG-
dc.publisherBioMed Central-
dc.titleLarge multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1186/s40478-023-01563-4-
dc.identifier.scopusid2-s2.0-85153912397-
dc.identifier.wosid000985294900001-
dc.identifier.bibliographicCitationActa Neuropathologica Communications, v.11, no.1-
dc.citation.titleActa Neuropathologica Communications-
dc.citation.volume11-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusGENOME-WIDE ASSOCIATION-
dc.subject.keywordPlusVARIANTS-
dc.subject.keywordPlusRISK-
dc.subject.keywordPlusEXPRESSION-
dc.subject.keywordPlusLOCI-
dc.subject.keywordPlusTAU-
dc.subject.keywordPlusMETAANALYSIS-
dc.subject.keywordPlusGENOTYPE-
dc.subject.keywordPlusJOINT-
dc.subject.keywordPlusGWAS-
dc.subject.keywordAuthorBrain amyloidosis-
dc.subject.keywordAuthorAmyloid PET-
dc.subject.keywordAuthorAlzheimer's disease-
dc.subject.keywordAuthorMulti-ethnic-
dc.subject.keywordAuthorMeta-analysis-
dc.subject.keywordAuthorGWAS-
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