7
•This is a little easier to look at! •Tall spikes mean that there is a lot in common at that point… 1 4 3 2 5 6 7 9 8 10 12 11 13 14 15 17 16 18 19 20 21 22 23 Chromosome Number Uh Oh! Nothing stands out!

Microarray Graph

  • Upload
    yvon

  • View
    40

  • Download
    2

Embed Size (px)

DESCRIPTION

Microarray Graph. Uh Oh! Nothing stands out!. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 23. 18. 20. 17. 21. 19. 22. Chromosome Number. This is a little easier to look at! Tall spikes mean that there is a lot in common at that point…. Hmm…. Our Data. - PowerPoint PPT Presentation

Citation preview

Page 1: 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!

Page 2: Microarray Graph

• 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…

Page 3: Microarray Graph

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!

Page 4: Microarray Graph

• 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…

Page 5: Microarray Graph

• 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….

Page 6: Microarray Graph

Sound about right?

Good. We have a diagnosis.

Pretzel Syndrome. But that is only ONE GENE!

How is this possible?

Page 7: Microarray Graph

• Is not easy! • Take into account how ALL the systems

react and interact.• “One goes out, they ALL go out!”