We analyzed data from human genome-wide association studies (GWASs) to identify genetic variants and biological pathways linked to Alzheimer's disease (AD). Ten AD biomarkers (APOE, NECTIN2, APOC1, APOC1P1, TOMM40, RNU4-67P, KRAS, Y_RNA, THORLNC, LINC01956) were found across studies, including six central genetic variants (MAPT (rs242557-A), GRIN2B (rs74442473-G), APOE (rs438811-T), ANK3 (rs438811-T), BIN1 (rs744373-G), and BDNF (rs7481773-A)). ANK3 (rs438811-T) and GRIN2B (rs74442473-G) were essential hub biomarkers for amyloid plaques, while MAPT (rs242557-A) and BIN1 (rs744373-G) were crucial for neurofibrillary tangles (NFTs). Higher-risk AD biomarkers were associated with increased protein-lipid complex formation, while lower-risk AD biomarkers were correlated with improved synaptic function. Six essential miRNAs (hsa-miR-124-3p, 15a-5p, 16-5p, 204-5p, 520g-3p, 520h) and three transcription factors (ZMAT4, ZBED6, FOXG1) emerged as possible candidates to reveal the genetic differences that lead to amyloid plaques, NFTs, and ultimately AD. These findings serve as a basis for potential AD treatments and offer new avenues for therapeutic approaches to directly target the genetic variations and processes associated with the disease.
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