DIY precision medicine with Pandas a talk by Anastázie Sedláková

Friday 15 September 11:10 (30 minutes)

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We live in an era of enormous amounts of data. Precision medicine makes use of that data to choose the right treatment or prevention for an individual. We can use your genetic code to make recommendations even more precise. But first, we need to know which parts of the DNA are associated with which diseases. How would you actually find that from publicly available data?

With some basic pandas functions, open data and your results from any DNA testing company I will show you how:

Genome-wide association studies (GWAS) are performed
Understand results of GWAS
Understand how GWAS results can be used to generate polygenic risk scores (PRS)
Filter data and show significant association with your data

No prior knowledge of genetics is required, I will explain everything during the talk. Knowledge of the pandas library is recommended.

What do you need to know to enjoy this talk

Python level

Medium knowledge: You use frameworks and third-party libraries.

About the topic

No previous knowledge of the topic is required, basic concepts will be explained.

Anastázie Sedláková

I am passionate educator and love to learn myself. My background is in genetics (for those who know: forensic population genetics), but I do mainly data science, bioinformatics and everything in between. I am principal scientist at DNAnexus in community engagement group. I also have my company where I help people learn bits of programming and data science to make their work more efficient and enjoyable.

Apart from that I am mom of three with kids from 6 years to less than a year. In my free time (which is almost unbelievable, but I do have it time to time), I like to read, draw and biohack myself.