Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer diseaseopen access
- Authors
- Ali, Muhammad; Archer, Derek B.; Gorijala, Priyanka; Western, Daniel; Timsina, Jigyasha; Fernández, Maria V.; Wang, Ting-Chen; Satizabal, Claudia L.; Yang, Qiong; Beiser, Alexa S.; Wang, Ruiqi; Chen, Gengsheng; Gordon, Brian; Benzinger, Tammie L. S.; Xiong, Chengjie; Morris, John C.; Bateman, Randall J.; Karch, Celeste M.; McDade, Eric; Goate, Alison; Seshadri, Sudha; Mayeux, Richard P.; Sperling, Reisa A.; Buckley, Rachel F.; Johnson, Keith A.; Won, Hong-Hee; Jung, Sang-Hyuk; Kim, Hang-Rai; Seo, Sang Won; Kim, Hee Jin; Mormino, Elizabeth; Laws, Simon M.; Fan, Kang-Hsien; Kamboh, M. Ilyas; Vemuri, Prashanthi; Ramanan, Vijay K.; Yang, Hyun-Sik; Wenzel, Allen; Rajula, Hema Sekhar Reddy; Mishra, Aniket; Dufouil, Carole; Debette, Stephanie; Lopez, Oscar L.; DeKosky, Steven T.; Tao, Feifei; Nagle, Michael W.; Hohman, Timothy J.; Sung, Yun Ju; Dumitrescu, Logan; Cruchaga, Carlos
- Issue Date
- Apr-2023
- Publisher
- BioMed Central
- Keywords
- Brain amyloidosis; Amyloid PET; Alzheimer's disease; Multi-ethnic; Meta-analysis; GWAS
- Citation
- Acta Neuropathologica Communications, v.11, no.1
- Indexed
- SCIE
SCOPUS
- Journal Title
- Acta Neuropathologica Communications
- Volume
- 11
- Number
- 1
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/20329
- DOI
- 10.1186/s40478-023-01563-4
- ISSN
- 2051-5960
2051-5960
- Abstract
- 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.
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Collections - Graduate School > Department of Medicine > 1. Journal Articles

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