MIT Computational Biology: Genomes, Networks, Evolution, Health
http://compbio.mit.edu/6.047/
Prof. Manolis Kellis
Full playlist with all videos in order is here: https://www.youtube.com/playlist?list=PLypiXJdtIca6U5uQOCHjP9Op3gpa177fK
All slides from Fall 2019 are here: https://stellar.mit.edu/S/course/6/fa19/6.047/materials.html
Outline for this lecture:
1. Genetics intro: Mendel, human traits, Linkage
- Mendelian traits: linkage, genetic maps, family studies
- Complex traits: polygenicity, environment, continuous
2. Genome-wide association studies (GWAS)
- Study design: QC, Chi-Sq, mult testing, replication, QQ
- Fine mapping, linkage vs. association, combine studies
3. Interpretation: Individual loci vs. global signals
- Loci: mechanism, assays, allelic, patients, mice, cells
- Sys: networks, biases, stats, PPI, expression, diagnostics
4. Next Gen: exome, genome, medical sequencing
- Common, low-freq, rare, private, somatic; diagnostics
- Autism: polygenic, carriers; case/control, trios; de novo