Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Late-onset Alzheimer Disease (LOAD) shares multiple pathologic features and genetic risk factors with Age-related Macular Degeneration (AMD). Amyloid-beta (Ab) forms amyloid plaques in the brain and aggregates with other proteins and lipids to form drusen deposits in the retina of AMD eyes. CFH and HTRA1, genes coding for Ab-processing complement proteins, are the strongest genetic risk factors for AMD, but the association with LOAD has been equivocal. In addition, the APOE e4 allele, LOAD's strongest genetic risk factor, has the opposite effect (e.g. is protective) for AMD. Therefore, we investigated whether the strongest genetic risk factors for AMD, CFH and ARMS2/HTRA1 also influence risk of LOAD. METHOD: Utilizing our large dataset of mid-Western Amish individuals, we performed single nucleotide polymorphism (SNP) association analysis on the ARMS2/HTRA1 and CFH loci to determine their association with LOAD. This analysis included 152 LOAD cases and 746 cognitively unimpaired controls, all evaluated by consensus review of clinical test results. Those with known AMD were excluded from this study. RESULT: Our preliminary results found no significant association between LOAD and the individual SNPs defining the CFH or ARMS2/HTRA1 loci. As these genes are in regions of strong linkage disequilibrium, these SNPs define a small set of extended haplotypes, which have known differential impact on AMD. CONCLUSION: Single SNP association analyses did not expose any significant associations between LOAD and single SNPs at the CFH or ARMS2/HTRA1 loci. Examining the haplotype association with LOAD will allow for increased power and better understanding of the risk these two loci confer to LOAD.
Source: Alzheimer s & Dementia
Authors: Noel C. Moore, Yeunjoo E. Song, Alex V. Gulyayev, Kristy L. Miskimen, Renee A. Laux, Audrey Lynn, Sarada L. Fuzzell, Sherri D. Hochstetler, Dawn Miller, Laura J. Caywood, Jason E. Clouse, Sharlene D. Herington, Weihuan Wang, Ping Wang, Yining Liu, Daniel A. Dorfsman, Muneeswar Gupta Nittala, SriniVas R Sadda, Dwight Stambolian, Paula K. Ogrocki, Alan J. Lerner, Michael L Cuccaro, Jeffery M Vance, William K. Scott, Margaret Pericak‐Vance, Jonathan L Haines
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,200
OpenAlex ID: W7117107401
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