In recent years the concept of so-called "personalized medicine" has become a significant theoretical consideration in the dosing and administration of therapeutical drugs. And why not? Why not have medicine tailored to fit you perfectly?
Dosing guidelines have been established as early as 2011, and yet these methods are seldom used, mostly due to the high cost of the test kits available on the market today.
In this day and age where one can easily have their genome sequenced for as little as a 100$ USD, isn't it outrageous that drugs are administered to patients without taking their specific metabolic properties into consideration, in cases where significant harm may occur?
So what makes this technology so expensive? Honestly, I have no idea. As all the data is publicly available and the connections to be made are trivial, this could potentially be used in every major hospital.
I present this proof of concept tool which analyses the raw output of a 23andme report and matches known reference SNP cluster IDs to specific mutations in cytochrome P450 and their corresponding pharmaceutical drugs, to provide specific analysis of the patient's metabolic response to these drugs.
The project is completely open-source and under the MIT license, urging anyone who would like to expand it - to do so.