Structural Neuroimaging Genetics Interactions in Alzheimer's Disease

Area of Science:

• Neuroscience
• Genetics
• Medical Imaging

Background:

• Late-onset cognitive impairment, including Alzheimer's disease (AD) and mild cognitive impairment (MCI), poses a significant public health challenge.
• Understanding the interplay between genetic factors and neuroimaging biomarkers is crucial for early detection and intervention.

Purpose of the Study:

• To investigate the association between specific genetic variations (SNPs) and neuroimaging biomarkers in individuals with AD, MCI, and normal controls (NC).
• To explore the utility of integrated genetic and neuroimaging data analysis for differentiating cognitive impairment stages.

Main Methods:

• Utilized structural magnetic resonance imaging (MRI) data from 808 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.
• Extracted 80 neuroimaging biomarkers using BrainParser and global shape analysis.
• Identified 80 single nucleotide polymorphisms (SNPs) highly associated with imaging biomarkers using Plink.

Main Results:

• Identified significant associations between specific SNPs and regional brain structures (e.g., hippocampi, parahippocampal gyri, caudate, fusiform gyrus, inferior temporal gyrus) in AD, MCI, and NC groups.
• Observed significant correlations between genetic and neuroimaging phenotypes across the entire ADNI cohort.
• rs2137962 was linked to bilateral hippocampal and parahippocampal changes in AD patients.

Conclusions:

• Genetic variations show significant correlations with specific neuroimaging phenotypes across different cognitive statuses.
• Joint analysis of morphometric, imaging, and genotypic data offers a powerful approach to examine differences between AD, MCI, and NC cohorts.
• These findings contribute to a deeper understanding of the genetic underpinnings of cognitive impairment.