Microarray Graph
description
Transcript of Microarray Graph
• This is a little easier to look at!• Tall spikes mean that there is a lot in
common at that point…
1 432 5 6 7 98 10 1211 13 14 1517
16 1819
20212223
Chromosome Number
Uh Oh! Nothing stands out!
• Let’s look closely… Can we see if there is a difference among our young patients that is statistically unlikely to happen in the normal population?
• We can! • It’s a Chi-Square statistics test and it allows
us to look at our data in a slightly different way…
1 432 5 6 7 98 10 1211 13 14 1517
16 18 19202122
23
Chromosome Number
What’s this? A big spike at chromosome 17 says something is wrong here! The patients are different from the rest of the population in a way that is statistically significant!
• http://www.ncbi.nlm.nih.gov/sites/entrez?db=omim
• Search terms… macrocephaly AND polyhydramnios AND seizures
• Looking at our 8 results… which ones have gene problems at chromosome 17…
• POLYHYDRAMNIOS, MEGALENCEPHALY, AND SYMPTOMATIC EPILEPSY; PMSEGene map locus 17q23.3
• It’s our only result on chromosome 17, the area the patients all have a common difference…
• So, what IS this poly-whatever? –Let us read….
Sound about right?
Good. We have a diagnosis.
Pretzel Syndrome. But that is only ONE GENE!
How is this possible?
• Is not easy! • Take into account how ALL the systems
react and interact.• “One goes out, they ALL go out!”