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Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease

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 W.
Kim, Hee J.
Mormino, Elizabeth
Laws, Simon M.
Fan, Kang-Hsien
Kamboh, M. Ilyas
Vemuri, Prashanthi
Ramanan, Vijay K.
Yang, Hyun-Sik
Wenzel, Allen
Rajula, Hema S. R.
Mishra, Aniket
Dufouil, Carole
Debette, Stephanie
Lopez, Oscar L.
DeKosky, Steven T.
Tao, Feifei
Nagle, Michael W.
Hohman, Timothy J.
Sung, Yun J.
Dumitrescu, Logan
Cruchaga, Carlos
Knight Alzheimer Disease Research Center (Knight ADRC)
the Dominantly Inherited Alzheimer Network (DIAN)
Alzheimer's Disease Neuroimaging Initiative (ADNI)
ADNI-DOD, A4 Study Team
the Australian Imaging Biomarkers, Lifestyle (AIBL) Study
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 W.
Kim, Hee J.
Mormino, Elizabeth
Laws, Simon M.
Fan, Kang-Hsien
Kamboh, M. Ilyas
Vemuri, Prashanthi
Ramanan, Vijay K.
Yang, Hyun-Sik
Wenzel, Allen
Rajula, Hema S. R.
Mishra, Aniket
Dufouil, Carole
Debette, Stephanie
Lopez, Oscar L.
DeKosky, Steven T.
Tao, Feifei
Nagle, Michael W.
Hohman, Timothy J.
Sung, Yun J.
Dumitrescu, Logan
Cruchaga, Carlos
Knight Alzheimer Disease Research Center (Knight ADRC)
the Dominantly Inherited Alzheimer Network (DIAN)
Alzheimer's Disease Neuroimaging Initiative (ADNI)
ADNI-DOD, A4 Study Team
the Australian Imaging Biomarkers, Lifestyle (AIBL) Study
Source :
Research outputs 2022 to 2026
Publication Year :
2023

Abstract

Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (AB) 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 4; rs429358; = 0.35, SE = 0.01, P = 6.2 × 10–311, MAF = 0.19), driven by APOE 4, and five additional novel associations (APOE 2/rs7412; rs73052335/rs5117, rs1081105, rs438811, and rs4420638) independent of APOE 4. APOE 4 and 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; = 0.07, SE = 0.01, P = 9.2 × 10–09, MAF = 0.32), CR1 (rs6656401/chr1q.32.2; = 0.1, SE = 0.02, P = 2.4 × 10–10, MAF = 0.18) and FERMT2 locus (rs117834516/chr14q.22.1; = 0.16, SE = 0.03, P = 1.1 × 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, = 0.79, SE = 0.14, P = 1.4 × 10–08, MAF = 0.006, sex-interaction P = 9.8 × 10–07) and chr11p.15.2 (rs192346166, = 0.94, SE = 0.17, P = 3.7 × 10–08, MAF = 0.004, sex-interaction P = 1.3 × 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.

Details

Database :
OAIster
Journal :
Research outputs 2022 to 2026
Notes :
application/pdf, Research outputs 2022 to 2026
Publication Type :
Electronic Resource
Accession number :
edsoai.on1386986722
Document Type :
Electronic Resource