TY - JOUR
T1 - Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease
AU - Knight Alzheimer Disease Research Center (Knight ADRC)
AU - Ali, Muhammad
AU - Archer, Derek B
AU - Gorijala, Priyanka
AU - Western, Daniel
AU - Timsina, Jigyasha
AU - Fernández, Maria V
AU - Wang, Ting-Chen
AU - Satizabal, Claudia L
AU - Yang, Qiong
AU - Beiser, Alexa S
AU - Wang, Ruiqi
AU - Chen, Gengsheng
AU - Gordon, Brian
AU - Benzinger, Tammie L S
AU - Xiong, Chengjie
AU - Morris, John C
AU - Bateman, Randall J
AU - Karch, Celeste M
AU - McDade, Eric
AU - Goate, Alison
AU - Seshadri, Sudha
AU - Mayeux, Richard P
AU - Sperling, Reisa A
AU - Buckley, Rachel F
AU - Johnson, Keith A
AU - Won, Hong-Hee
AU - Jung, Sang-Hyuk
AU - Kim, Hang-Rai
AU - Seo, Sang Won
AU - Kim, Hee Jin
AU - Mormino, Elizabeth
AU - Laws, Simon M
AU - Fan, Kang-Hsien
AU - Kamboh, M Ilyas
AU - Vemuri, Prashanthi
AU - Ramanan, Vijay K
AU - Yang, Hyun-Sik
AU - Wenzel, Allen
AU - Rajula, Hema Sekhar Reddy
AU - Mishra, Aniket
AU - Dufouil, Carole
AU - Debette, Stephanie
AU - Lopez, Oscar L
AU - DeKosky, Steven T
AU - Tao, Feifei
AU - Nagle, Michael W
AU - Hohman, Timothy J
AU - Sung, Yun Ju
AU - Dumitrescu, Logan
AU - Cruchaga, Carlos
N1 - © 2023. The Author(s).
PY - 2023/4/26
Y1 - 2023/4/26
N2 - 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.
AB - 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.
KW - Humans
KW - Female
KW - Alzheimer Disease/diagnostic imaging
KW - Amyloid beta-Peptides/genetics
KW - Genome-Wide Association Study
KW - Amyloidosis/diagnostic imaging
KW - Amyloid
KW - Apolipoproteins E/genetics
U2 - 10.1186/s40478-023-01563-4
DO - 10.1186/s40478-023-01563-4
M3 - Article
C2 - 37101235
SN - 2051-5960
VL - 11
SP - 68
JO - Acta Neuropathologica Communications
JF - Acta Neuropathologica Communications
IS - 1
ER -