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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... Support the channel ******************************************* To support the Genomics Boot Camp channel, check out the associated site for genotyping services covering companion animals, livestock and more: https://azdatasolutions.eu/