Genome-Wide Association Studies (GWAS), Part 1

[@SalsaChips11]

I'm doing self study on what a GWAS is for work, and this helps me understand it better. Thanks!

[@Baraa.K.Mohammad]

Excellent! Extremely clear and helpful!
Gotta point the most important parts for future viewers.
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[@OwayneKhoo93]

Brilliant. Best video on the subject on youtube officially

[@蔡達-w2j]

Easy understanding explanation, thank you so much!

[@sofiasuarez3908]

Finally!!! finally I understood this!! Amazing video so well explained so clearly put!! thank you sm!!!

[@sabamoradi9628]

very simple and understandable. thank you very much

[@LovethOjukwu]

you gave a thorough explanation 💯

[@emilysomohardjo9767]

Great video!

[@zainabsheikh6307]

Thanks for the concept

[@raagalayalu]

Thank you so much! an amazing video helped me a lot :)

[@aakaykay4642]

You are goated

[@tintin7557]

Thank you ! great explanation

[@Dr.Saira_Pak..]

good way to teach

[@李佳蔚-w2z]

I have a question: Why GWAS cannot tell the specific gene as we put both the genes (SNPs) and trait into the model?

[@karelkip1191]

In GWAS you are looking for statistical asociations between your SNPs and genes that are potentially coding for your trait. This asociation is found when your SNP and gene are in tight linkage, but it does not mean it is the only gene your SNP is linked to. So you will always have to investigate which of the genes in that area is actually causally correlated to your trait. It can be that there are also other genes in that area that are do not have anything to do with your trait.

[@Stop-and-listen]

How can you carry out the manhattan plots?

[@MrWoof-ki3uo]

I use the R package qqman

[@Genetics-concepts]

you can do it in Tassel5