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Alzheimer's Disease Genomics
We are currently analyzing genotype and phenotype data gathered by the Alzheimer's Disease Sequencing Project, which includes whole-exome and SNP information from ~4500 Alzheimer's patients and ~4500 age-matched controls. Our goal is to identify genetic variants that increase AD risk and variants that confer protection against dementia. We are utilizing a mixture of classic genomics methods and machine learning to identify sites and genes that impact the AD profile, and leverage this data to inform mouse-model AD experiments.