Ontology highlight
ABSTRACT:
SUBMITTER: Ali M
PROVIDER: S-EPMC10134547 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature

Ali Muhammad M Archer Derek B DB Gorijala Priyanka P Western Daniel D Timsina Jigyasha J Fernández Maria V MV Wang Ting-Chen TC Satizabal Claudia L CL Yang Qiong Q Beiser Alexa S AS Wang Ruiqi R Chen Gengsheng G Gordon Brian B Benzinger Tammie L S TLS Xiong Chengjie C Morris John C JC Bateman Randall J RJ Karch Celeste M CM McDade Eric E Goate Alison A Seshadri Sudha S Mayeux Richard P RP Sperling Reisa A RA Buckley Rachel F RF Johnson Keith A KA Won Hong-Hee HH Jung Sang-Hyuk SH Kim Hang-Rai HR Seo Sang Won SW Kim Hee Jin HJ Mormino Elizabeth E Laws Simon M SM Fan Kang-Hsien KH Kamboh M Ilyas MI Vemuri Prashanthi P Ramanan Vijay K VK Yang Hyun-Sik HS Wenzel Allen A Rajula Hema Sekhar Reddy HSR Mishra Aniket A Dufouil Carole C Debette Stephanie S Lopez Oscar L OL DeKosky Steven T ST Tao Feifei F Nagle Michael W MW Hohman Timothy J TJ Sung Yun Ju YJ Dumitrescu Logan L Cruchaga Carlos C
Acta neuropathologica communications 20230426 1
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<sup ...[more]