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Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses
Published on: June 14, 2020
Ciencia básica y patogénesis
Vivek Ruhela1, Basilio Cieza1, Richard Mayeux2
1Columbia University, New York, NY, USA.
Background:
Expression quantitative trait loci (eQTL) have been identified using tissue or cell samples from diverse human populations, enhancing our understanding of gene expression regulation in the context of complex diseases, such as Alzheimer disease (AD). However, few studies have attempted to identify eQTL across multiple ethnic groups. We employed prefrontal cortical brain samples from the New York Brain Bank at Columbia University.
Method:
We analyzed RNA-Seq data from 32 Hispanics and 263 Non-Hispanic White (NHW) prefrontal cortical brain samples. Stratified cis- and trans-eQTL analyses were performed using TensorQTL, while GWAS analysis was conducted on common variants (MAF > 5%) employing a linear mixed model. To assess genetic colocalization in Hispanics and NHW brains, we applied eCAVIAR to estimate the likelihood of variants being causal, integrating both eQTL and GWAS signals.
Result:
In the colocalization of cis-eQTL and GWAS signals for Hispanics, we observed a high posterior probability (posterior prob = 0.9947) for the upstream gene variant rs755980338 on chromosome 11, which locally regulates EHD1 gene (GWAS p-value = 0.009, cis-eQTL p-value = 0.0041). Similarly, in trans-eQTL analysis of NHW brains, we identified strong colocalization for the upstream gene variant rs7840855 on chromosome 8 (posterior prob = 0.7, GWAS p-value = 3.4e-06), regulating both TMEM68 (trans-eQTL p-value = 5.36e-06) and DEFA10P (trans-eQTL p-value = 9.52e-06).
Conclusion:
This study highlights the importance of population-stratified eQTL and colocalization analysis in identifying genetic regulatory mechanisms underlying complex diseases such as AD. The high colocalization probabilities indicate shared causal variants, supporting the functional relevance of these genes in AD risk. Our findings suggest that EHD1, TMEM68, and DEFA10P may play an ancestry-specific role in AD. For example, EHD1 gene is involved in neuronal BACE1 transcytosis which is highly relevant for AD. Similarly, TMEM68 was colocalized with chromosome 8 in brain prefrontal cortex and hypothalamus in GTEx panel. These insights contribute to a better understanding of AD genetic architecture, with potential implications for precision medicine approaches across populations. Results can be visualized via our newly-developed BRAINscape (Figure 1) an interactive Shiny-based interface for seamless data visualization to facilitate the integrative analysis of multi-omics data.
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