Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease
  • Ali, Muhammad
  • Archer, Derek B.
  • Gorijala, Priyanka
  • Western, Daniel
  • Timsina, Jigyasha
  • 외 45명
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초록

Amyloid 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.

키워드

Brain amyloidosisAmyloid PETAlzheimer's diseaseMulti-ethnicMeta-analysisGWASGENOME-WIDE ASSOCIATIONVARIANTSRISKEXPRESSIONLOCITAUMETAANALYSISGENOTYPEJOINTGWAS
제목
Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease
저자
Ali, MuhammadArcher, Derek B.Gorijala, PriyankaWestern, DanielTimsina, JigyashaFernández, Maria V.Wang, Ting-ChenSatizabal, Claudia L.Yang, QiongBeiser, Alexa S.Wang, RuiqiChen, GengshengGordon, BrianBenzinger, Tammie L. S.Xiong, ChengjieMorris, John C.Bateman, Randall J.Karch, Celeste M.McDade, EricGoate, AlisonSeshadri, SudhaMayeux, Richard P.Sperling, Reisa A.Buckley, Rachel F.Johnson, Keith A.Won, Hong-HeeJung, Sang-HyukKim, Hang-RaiSeo, Sang WonKim, Hee JinMormino, ElizabethLaws, Simon M.Fan, Kang-HsienKamboh, M. IlyasVemuri, PrashanthiRamanan, Vijay K.Yang, Hyun-SikWenzel, AllenRajula, Hema Sekhar ReddyMishra, AniketDufouil, CaroleDebette, StephanieLopez, Oscar L.DeKosky, Steven T.Tao, FeifeiNagle, Michael W.Hohman, Timothy J.Sung, Yun JuDumitrescu, LoganCruchaga, Carlos
DOI
10.1186/s40478-023-01563-4
발행일
2023-04
유형
Article
저널명
Acta neuropathologica communications
11
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