Genome wide association studies | Introduction to genomics theory | Genomics101 (beginner-friendly)

We continue the beginner-friendly lecture series introducing basic concepts in #genomics, with a focus on single nucleotide polymorphism (#SNP) data. In this part, we talk about genome-wide association studies, often abbreviated as #GWAS. It is a very popular group of methods that are used to pinpoint genomic regions that influence certain traits and phenotypes. The outputs are the so-called #ManhattanPlots you have surely seen already.

While the basic concept is fairly simple, you will see that there is a number of other issues to consider, such as false positive and false negative results using correction for multiple testing, as well as population structure.

Playlist with the full videos:    • Introduction to Genomics - course  
All PowerPoint presentations are available at: https://github.com/GenomicsBootCamp/I...

Parts of the video:
0:00 - Summary from previous lectures
1:42 - General introducion to GWAS and the manhattan plots
10:00 - Applications of GWAS in research
14:45 - Multiple testing adjustments and false discocery rate
26:12 - Correction for population structure in GWAS
34:32 - Summary of the lecture

Image source in thumbnail: https://www.pexels.com/photo/starry-s...


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