I have a large dataset of germline genetic mutations from a population of 1,000 individuals both affected and non-affected. I've already looked into individual mutations that are enriched in the affected population. Now I want to determine if the presence of two mutations in the same individual is more predictive of disease than having either one individually. Meaning does having both mutation A and B increase probability of being affected significantly more than having just A or just B. I want to identify a list of candidate pairings that show the greatest degree of interaction or predictive value.
The problem seems like something straight forward, but I haven't been able to find any literature dealing with this.
Thank you in advance!