1 / 8

Analyzing Phenotypic Variations and Polymorphism

Analyzing Phenotypic Variations and Polymorphism. Phillip Tao Advisor: Professor Eleazar Eskin Grad Student: Emrah Kostem. Polymorphism and SNP. Polymorphism is a variation between the genome of two individuals or chromosomes Many types: Deletion * Duplication * Inversion *

jerry-cook
Download Presentation

Analyzing Phenotypic Variations and Polymorphism

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Analyzing Phenotypic Variations and Polymorphism Phillip Tao Advisor: Professor EleazarEskin Grad Student: Emrah Kostem

  2. Polymorphism and SNP • Polymorphism is a variation between the genome of two individuals or chromosomes • Many types: • Deletion * • Duplication * • Inversion * • Single Nucleotide Polymorphism (SNP) * These often cause major diseases, such as Cri du Chat and Charcot-Marie-Tooth disease, when large portions of the genome are affected [4]. However, their effect on small portions of the genome, (especially non-coding portions) have been mostly unstudied

  3. Problem • Polymorphisms can be used to identify disposition toward certain illnesses [1] • Use mouse genome to identify problem causing alleles • A lot of data to analyze, 8.27 million SNP in mice [2], estimated 10 million in humans [1] • Very difficult to identify non-SNP polymorphisms • Can be very long, 1.5 million base pairs [3]

  4. Past Methods and My Idea • Polymorphism has been used to try to find causes for diseases such as cancer, etc. [5][6][7]. • They decided on a disease first, found an area of a genome they believe might influence the disease, then looked for polymorphisms in that area • My way is to map the entire set of polymorphisms for a given genome (mouse genome), then look for correlations

  5. Proposal, step 1 • Develop a way to identify non-SNP polymorphisms • Find start of problem area • Use marker sequence to find end of problem area* • Identify problem * Idea borrowed from Restriction Fragment Length Polymorphism (RFLP)

  6. Proposal, step 2 • Use Ruby to develop a tool to easily and flexibly model the data • Develop algorithms to find correlation between polymorphisms and trait variations

  7. Schedule • A basic but functional version of the Ruby on Rails website should be finished, and a working but slow and inefficient version of the polymorphism finder should be done. • By the end of Winter Quarter, the final version of the polymorphism finder should be finished, and a better version of the RoR website should also be finished • By the end of the project, an algorithm should be found to analyze correlation between certain polymorphisms and trait variations

  8. Resources • http://www.usatoday.com/news/health/2005-02-17-gene-map_x.htm • http://www.nature.com/nature/journal/v448/n7157/full/nature06067.html • http://www.nature.com/ng/journal/v29/n3/full/ng753.html • http://en.wikipedia.org/wiki/Chromosome_abnormalities • http://circ.ahajournals.org/cgi/content/abstract/circulationaha;102/2/197 • http://jmd.amjpathol.org/cgi/content/full/8/4/499 • http://atvb.ahajournals.org/cgi/content/full/atvbaha;16/2/304

More Related