Zhang Qiushi
ABSTRACT
Accumulation of amyloid-ß (Aß) protein in senile plaques and hyper-phosphorylated tau protein in neurofibrillary tangles are the pathological results at autopsy of Alzheimer's disease (AD). PET imaging and cerebrospinal fluid (CSF) are potential diagnostic biomarkers. In this work, we performed GWAS and a novel linear regression method on 10 neuroimaging quantitative traits(Qts) included AV-45 PET data of frontal, cingulate, parietal, temporal regions, entire cortical, and CSF levels of Aß42, T-tau, T-tau/Aß42, P-tau, P-tau/Aß42 data using a sample of 667 subjects from the ADNI database. As we expected, the most significant loci, APOE, APOC1, TOMM40 genes were replicated in our GWAS. Additive linear regression model for SNP-SNP interaction detecting considered age, gender, and clinical diagnosis as covariates. 337 of SNPs showed statistically significant interaction effects on the T-tau/Aß42 level (Bonferroni-corrected p-value <0.05). And few significant variants were identified in other 9 phenotypes. It indicated that linear regression method can be used to detect susceptibility of quantitative traits and identify novel AD risk loci.
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Index Terms
- A Novel Method Based on Linear Regression Model for Identify the Sensitivity of Quantitative Trait in ADNI Cohort
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