{"id":80,"date":"2015-12-11T13:20:04","date_gmt":"2015-12-11T13:20:04","guid":{"rendered":"http:\/\/datapunk.net\/opus23blog\/?p=80"},"modified":"2018-06-27T07:00:51","modified_gmt":"2018-06-27T11:00:51","slug":"multi-snp-algorithms","status":"publish","type":"post","link":"https:\/\/datapunk.net\/opus23blog\/2015\/12\/11\/multi-snp-algorithms\/","title":{"rendered":"Multi-SNP algorithms"},"content":{"rendered":"

Algorithms are perhaps the most significant and flexible aspect of Opus 23 data. They are usually the easiest result for the non-medical person to understand, because their conclusions are usually simplified statements in everyday language. Algorithms are processed by the LUMEN app in Opus 23 Pro.<\/p>\n

LUMEN is one of the most powerful apps in the Opus 23 Pro toolbox. This app allows you to examine the effects of multi-SNP, multi-gene consequences. Very few single SNPs exert their effects independently; they more typically interact through epistatic relationships (where the phenotypic expression of one gene influences the genotypic expression of another) or as a haplotype: a set of several SNPs, on a single chromatid of a chromosome pair that are associated statistically. <\/p>\n

LUMEN does this by using algorithms, small step by step programs that run inside of LUMEN and that look at the logical result of multi-SNP combinations. This type of logic is essentially ‘Boolean’ in that its queries yield a yes or no answer. The combination of both allows LUMEN to provide you with insight into complex SNP arrangements and relationships that might otherwise escape detection. <\/p>\n

It’s helpful to think of an Opus 23 algorithm as a tiny flowchart, that depending on which way the result branches, generates a ‘true or false’ result.<\/p>\n

For example, a simple algorithm to determine if you should get out of bed might be:<\/p>\n