Manolis Kellis
@manoliskellis1·24.9K subscribers·255 videos
MIT CompBio Lecture 23 - Multi-Phenotype analyses
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December 4, 2018
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December 4, 2018
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1:20:36Now PlayingMIT Computational Biology: Genomes, Networks, Evolution, Health
Prof. Manolis Kellis
Fall 2018
Lecture 23 - Multi-phenotype analyses
1. Motivation of phenome-wide association studies
- PheWAS-informed phenotyping, improved GWAS power, etc
- Electronic health record (EHR) contain rich personalized information
2. Modeling multiple phenotypes in GWAS + epigenomics
- Integration of multiple phenotypes in GWAS from Systems Genetics perspective (clustering approach)
- Direct integration of multiple phenotypes by summary-based factored genetic model estimation
3. Epigenomics of PheWAS
- Risk variants inference using epigenomic reference annotations
- Using disease covariance to improve functional variants inference
- Combining enrichment to improve causal pathway inference
4. Meta-phenotype inference and imputation
- Models leveraging missing information and inferring missing mechanism
- Modeling multimodal electronic health record data
- Imputing missing EHR code and prioritizing patient disease risks
Slides for Lecture 23:
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