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Variational Inference for Large-Scale Genomic Data - CGSI 2022
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- 1 Intro
- 2 Genome-wide association studies
- 3 GWAS does not provide causal mechanisms
- 4 Global biobanks reflect massive scale of available genome/phenome
- 5 Large-scale genomic analyses require scalable inference
- 6 Have you heard the good word of Thomas Bayes?
- 7 Variational approaches for approximate Bayesian inference I
- 8 Integrate molecular/functional information to understand disease mechanisms
- 9 Large-scale application to blood GWAS
- 10 TWAS identifies 6,236 and 116 genes for EA and AA across 15 traits
- 11 Gene sets by MA-FOCUS are more enriched for hematopoietic categories
- 12 Integrate phenome information to understand disease mechanisms
- 13 FactorGO: Factor analysis for genetic associations
- 14 FactorGO leverages information in under-powered studies
- 15 FactorGO finds greater enrichment at functionally relevant genomic annotations
