Files
Download Full Text (661.2 MB)
Publication Date
Summer 2025
Digital Publisher
Digital Commons at St. Mary's University
Collection
McNair Scholars Symposium
Keywords
Alzheimer’s disease, genome sequencing, GWAS, SNP analysis, APOE, BIN1
Description
Alzheimer’s disease (AD) is a complex neurodegenerative disorder influenced by both environmental and genetic factors. My research emphasizes a bioinformatics pipeline using MATLAB, a data analysis tool, to analyze genome-wide association study (GWAS) data intended to pinpoint key genetic variants involved in AD. This method allows for large-scale genomic interrogation while minimizing manual processing errors. We are particularly interested in loci linked to well-established risk genes such as APOE, BIN1, and TREM2. Publicly available datasets, including the Gene Expression Omnibus (GEO) and Alzheimer’s Disease Neuroimaging Initiative (ADNI), are being processed to extract and purify relevant genotypic and expression data. Mat lab serves as a versatile engine to organize, clean, and statistically evaluate the data, integrating functions from the Bioinformatics Toolbox to conduct SNP filtering, allele frequency analysis, and genomic variant visualization. Efficient comparison between control and AD samples are displayed through effective methodology. Differential expression and variant patterns support findings reported in current literature. Insights from this analysis may reveal patterns that inform both diagnostic strategies and therapeutic research. Early identification of high-risk alleles allow for more personalized and proactive clinical interventions. This approach not only streamlines data analysis but also provides a standardized and scalable framework for future investigations. We aim to capture a deeper understanding of the molecular basis of AD and support efforts in preventive health by identifying early genetic risk factors. This research underscores the potential of computational biology in advancing precision medicine and demonstrates how technical tools like MATLAB can be applied in genomic medicine.
Disciplines
Bioelectrical and Neuroengineering | Bioimaging and Biomedical Optics | Molecular, Cellular, and Tissue Engineering | Neurosciences
Format
MOV
Medium
Video
Size or Duration
15 minutes 4 seconds
City
San Antonio, Texas
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Loading...