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

Authors :
Muhammad Ali
Derek B. Archer
Priyanka Gorijala
Daniel Western
Jigyasha Timsina
Maria V. Fernández
Ting-Chen Wang
Claudia L. Satizabal
Qiong Yang
Alexa S. Beiser
Ruiqi Wang
Gengsheng Chen
Brian Gordon
Tammie L. S. Benzinger
Chengjie Xiong
John C. Morris
Randall J. Bateman
Celeste M. Karch
Eric McDade
Alison Goate
Sudha Seshadri
Richard P. Mayeux
Reisa A. Sperling
Rachel F. Buckley
Keith A. Johnson
Hong-Hee Won
Sang-Hyuk Jung
Hang-Rai Kim
Sang Won Seo
Hee Jin Kim
Elizabeth Mormino
Simon M. Laws
Kang-Hsien Fan
M. Ilyas Kamboh
Prashanthi Vemuri
Vijay K. Ramanan
Hyun-Sik Yang
Allen Wenzel
Hema Sekhar Reddy Rajula
Aniket Mishra
Carole Dufouil
Stephanie Debette
Oscar L. Lopez
Steven T. DeKosky
Feifei Tao
Michael W. Nagle
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
Timothy J. Hohman
Yun Ju Sung
Logan Dumitrescu
Carlos Cruchaga
Source :
Acta Neuropathologica Communications, Vol 11, Iss 1, Pp 1-20 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) 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 ɛ4; rs429358; β = 0.35, SE = 0.01, P = 6.2 × 10–311, MAF = 0.19), driven by APOE ɛ4, and five additional novel associations (APOE ε2/rs7412; rs73052335/rs5117, rs1081105, rs438811, and rs4420638) independent of APOE ɛ4. APOE ɛ4 and ε2 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; β = 0.07, SE = 0.01, P = 9.2 × 10–09, MAF = 0.32), CR1 (rs6656401/chr1q.32.2; β = 0.1, SE = 0.02, P = 2.4 × 10–10, MAF = 0.18) and FERMT2 locus (rs117834516/chr14q.22.1; β = 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, β = 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, β = 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

Language :
English
ISSN :
20515960
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Acta Neuropathologica Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.9eca2e70df9440858512dc974cf5a69a
Document Type :
article
Full Text :
https://doi.org/10.1186/s40478-023-01563-4