1 / 16

SNPs and CNPs

SNPs and CNPs. By: David Wendel. What are SNPs? (“snips”). S ingle N ucleotide P olymorphisms or (SNV) Occurs when one nucleotide is altered in a genome Four versions- one for each nucleotide Similar to mutations

Download Presentation

SNPs and CNPs

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. SNPs and CNPs By: David Wendel

  2. What are SNPs? (“snips”) • SingleNucleotidePolymorphisms or (SNV) • Occurs when one nucleotide is altered in a genome • Four versions- one for each nucleotide • Similar to mutations • Two or more versions of a sequence must each be present in at least one percent of the general population

  3. What are SNPs? (cont.) • Many have no effect on cell function • Do not directly cause disease • Most found outside of protein sequences • Likely to alter protein functions if inside • Help pinpoint disease on human genome map • Evolutionarily stable

  4. What are CNPs (“cnips”) • Copy Number Polymorphisms or (CNV) • Alterations in DNA • Affect sections of DNA • Different number of copies of sections • Thousands to millions • Occurs in over 1% of population - polymorphism • Considered normal variations

  5. SNPs and CNPs in Humans • Human DNA is very similar • 99.6% of human DNA is identical to all other humans • Other 0.4% is made up of CNPs and SNPs • SNPs- 80% of the 0.4% • Small scale variant • CNPs- 20% of the 0.4% • Large scale variant

  6. How do we find SNPs? • Two main ways scientists identify, categorize, and catalog SNPs • Genomic Approaches • Functional Approaches • Primer Extension is also used

  7. Genomic Approaches • Scientists who want to see the big picture • Hundreds of scientists involved • Genomes of numerous individuals are compared • Computer-powered data analysis • Results available to anyone on internet

  8. Functional Approaches • Scientists interested in particular diseases or drug responses • Select genes known in a process • Examine the genes in people with and without a disease • Identify SNPs that correspond with particular response

  9. Primer Extension • Less expensive • Alternative method

  10. Haplotypes • A set of single nucleotide polymorphisms • Set is on a single chromosome of a chromosome pair that is statistically associated • Associations can identify other polymorphic sites in the region • SNPs close together on the chromosome • Valuable for investigating genetics behind diseases

  11. HAPMAP (Haplotype Map)

  12. HAPMAP (Haplotype Map) cont. • Hapmap- a catalog of common genetic variants that occur in human beings • What the variants are • Where the variants occur in our DNA • How they are distributed among populations • Able to see how SNPs are organized on chromosomes • Construction of Hapmap occurs in three steps: • Single Nucleotide Polymorphisms • Adjacent SNPs inherited together compiled into haplotypes • “Tag” SNPs in haplotypes identified that uniquely identify those haplotypes.

  13. Hapmap I 2005 • This was the first phase of the project • The project was launched in October 2002 • Original goal to be finished was September 2005 • Finished first draft in February 2005 • Contained 1,000,000 most common SNPs

  14. Hapmap II 2006 • Results from Phase II were released in August 2006 • These results were published in February 2007 • 10,000,000 SNPs were included in this Hapmap

  15. Hapmap III 2010 • The third phase was published in 2010 • Data from 1,184 individuals • 11 global populations • 1,410,616 SNPs were released for detailed studies • Ten 100-kilobase ENCODE regions were sequenced in 692 of these individuals • Allowed integration of SNPs and CNPs

  16. Average Person and SNPs • Density of SNPs per base pair varies with every person • SNPs occur about one in every 500- 1000 base pairs • About 3,750,000 total

More Related