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Machine Learning-Based Prediction of Cell-type Resolved Brain eQTLs Enhances Discovery of Variants Explaining Alzheimer’s Disease Heritability

Abstract or Session
Presentation or Session Status
Poster presentation
October 21, 2026
Authors
Chirag M Lakhani (New York Genome Center, New York, NY), Giacomo Cavalca (University of Bologna, Bologna, Italy), Anjing Liu (Center for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA), Rohan Nidumbur (University of Maryland, College Park, College Park, MD), Ru Feng (Center for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY), Towfique Raj (Neuroscience, Icahn School of Medicine, Mount Sinai, New York, NY), Philip De Jager (Department of Neurology, Columbia University, New York, NY), The Alzheimer’s Disease Functional Genomics Consortium, Gao Wang (Center for Statistical Genetics, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, Department of Neurology, Columbia University, New York, NY, Department of Biostatistics, Columbia University, New York, NY), David A. Knowles (New York Genome Center, New York, NY, Department of Computer Science, Columbia University, New York, NY, Department of Systems Biology, Columbia University, New York, NY, Data Science Institute, Columbia University, New York, NY)
Program Number/Abstract ID
Board 8087W