I'm moving this to an answer, an ANOVA (or linear model more generally) is the simplest way to handle data like this.
@davidswordster: Keep in mind that we're assuming the 0-200 severity scale units represents relatively evenly spaced increases in severity. While this is very likely the case, you might want to double check with the people who generated the data to ensure this (if the scale were more like 0-7 then you'd need to use ordered logistic regression instead).
Ummm, what do you mean when you say you have quantitative value? And, what data do you have on the SNPs exactly? The alleles involved? The frequencies they are seen in?
Thanks for getting back to me.
Let's say I have a value between 0 and 200 that represents the severity of the disease, and I have this value for each of the 600 subjects.
Then for the SNPs, I've the alleles for each subject.
Alright, is the reference allele given to you or is it just this data (Subject, Allele, Disease-Score) from which you're supposed to infer that?
Can you describe what you mean, by reference allele?
It's the allele found in the reference genome at the exact same position as your Single Nucleotide Variant.
Yes, I believe so.