Hi guys. I'm stuck with one problem.

I have an issue about Mycobacterium tuberculosis resistance to different antibiotics. Based on number of SNP's I should make a conclusion about resistance of genome that has SNP's that's given to the antibiotic.

So, I know, that there is a Hain test, that does something similar and it's based on strong SNP's (if genome has it, we have >75% probability of resistance, for example). But it will work only if it finds 1 needed SNP.

http://www.hain-lifescience.de/en/products/microbiology/mycobacteria/genotype-mycobacterium-cmas.html

I'd like to ask you for some ideas, how I can estimate probability of resistance based on list of SNP's?

I mean, maybe there are some biology rules or biostatistics that could help me to do it.

I have type of snp (A->G etc) and position of that snp.

I appreciate any useful information (articles for ex) or ideas.

Because I don't know if such bioinformatics way exists.

Thanks