October 25, 2018
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15:27Now PlayingMIT Computational Biology: Genomes, Networks, Evolution, Health
Prof. Manolis Kellis
Fall 2018
Lecture 14 - Genome-wide Association Studies
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
Slides for Lecture 14:
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