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Single Nucleotide Polymorphism Copy Number Variations and SNP Array

Single Nucleotide Polymorphism Copy Number Variations and SNP Array. Xiaole Shirley Liu and Jun Liu. Outline. Definition and motivation SNP distribution and characteristics Allele frequency, LD, population stratification SNP discovery (unknown) and genotyping (known) CNV detection.

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Single Nucleotide Polymorphism Copy Number Variations and SNP Array

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  1. Single Nucleotide PolymorphismCopy Number Variationsand SNP Array Xiaole Shirley Liu and Jun Liu

  2. Outline • Definition and motivation • SNP distribution and characteristics • Allele frequency, LD, population stratification • SNP discovery (unknown) and genotyping(known) • CNV detection

  3. Polymorphism • Polymorphism: sites/genes with “common” variation, less common allele frequency ≥1%, otherwise called rare variant and not polymorphic • First discovered (early 1980): restriction fragment length polymorphism • Some definitions: • Locus: position on chromosome where sequence or gene is located • Allele: alternative form of DNA on a locus

  4. Polymorphism • Single Nucleotide Polymorphism • Occasionally short (1-3 bp) indels are considered SNPs too • Come from DNA-replication mistake individual germ line cell, then transmitted • ~90% of human genetic variation • Copy number variations • May or may not be genetic

  5. Why Should We Care • Disease gene discovery • Association studies, certain SNPs are susceptible for diabetes • Chromosome aberrations, duplication / deletion might cause cancer • Personalized Medicine • Drug only effective if you have one allele

  6. SNP Distribution • Most common, 1 SNP / 100-300 bp • Balance between mutation introduction rate and polymorphism lost rate • Most mutations lost within a few generations • 2/3 are CT differences • In non-coding regions, often less SNPs at more conserved regions • In coding regions, often more synonymous than non-synonymous SNPs

  7. SNP Characteristics: Allele Frequency Distribution • Most alleles are rare (minor allele frequency < 10%)

  8. Mode of inheritance

  9. SNP Characteristics:Hardy-Weinberg equilibrium (HWE) • In a population with genotypes BB, bb, and Bb, if p = freq(B), q =freq(b), the frequencies of BB, bb and Bb will be p2, q2, and 2 pq respectively at equilibrium, and will not change. • Assumptions for HWE: no mutation, no migration or emigration, infinite population size, no selective pressure, random mating. Could derivate from HWE if violated • It provides a baseline against which to measure change, e.g., inbreeding index: • More than 2 alleles:

  10. SNP Characteristics:Linkage Disequilibrium • Equilibrium Disequilibrium • LD: If Alleles occur together more often than can be accounted for by chance, then indicate two alleles are physically close on the DNA • In mammals, LD is often lost at ~100 KB • In fly, LD often decays within a few hundred bases

  11. SNP Characteristics:Linkage Disequilibrium • Statistical Significance of LD • Chi-square test with 1 df • eij = ni. n.j / nT

  12. SNP Characteristics:Linkage Disequilibrium • Three ways to calculate LD Observed Expected

  13. SNP Characteristics:Linkage Disequilibrium • Haplotype block: a cluster of linked SNPs • Haplotype boundary: blocks of sequence with strong LD within blocks and no LD between blocks, reflect recombination hotspots • Haplotype size distribution

  14. SNP Characteristics:Linkage Disequilibrium • Can see haplotype block: a cluster of linked SNPs

  15. SNP Characteristics:Linkage Disequilibrium • [C/T] [A/G] T X C [A/C] [T/A] • Possible haplotype: 24 • In reality, a few common haplotypes explain 90% variations • Tagging SNPs: • SNPs that capture most variations in haplotypes • removes redundancy Redundant

  16. SNP Characteristics:Population Stratification • Population stratification: individuals selected from two genetically different populations, stratification may be environmental, cultural, or genetic • Could give spurious results in case control association studies – the example of “chopstick genes”

  17. Using genetic variation to study populations

  18. SNP Discovery Methods • Sequencing individuals for difference: too costly • First check whether big regions have SNPs • Basic idea: denature and re-anneal two samples, detect heterduplex • Can pool samples (e.g. 10 African with 10 Caucasians) to speed screening • Resequence to verify • dbSNP: 12M RefSNP, 6M validated

  19. SNP Genotyping • For a known locus TT C/A AG, does this individual have CC, AA or AC? Many methods • Hybridization-based methods • Dynamic allele-specific hybridization • Molecular beacons • SNP-array chip (simultaneously genotype thousands of SNPs) • Enzyme-based methods • RFLP • PCR-based methods • Flap endonuclease • Primer extension • Oligonucleotide ligase assay • Other methods (based on physical properties of DNA)

  20. SNP Array • One SNP at a time or genome-wide (SNP array) 2.5kb 5.8kb 0.30

  21. 40 Probes Used Per SNP • Allele call • AA, BB, AB • Signal • Theoretically 1A+1B, 2A, 2B • But could have 1A+3B Amplified!

  22. SNP Chip for LOH • Loss of Heterozygosity: tumor suppressor gene inactivation by allelic loss in cancers Normal First genetic hit Cancer T T T T T OR T T X X X X A B A B A A A LOH

  23. SNP Array for CNV • Collect normal / diseased samples on SNP arrays • Probe normalization, background subtraction • Use HMM to infer CNV

  24. Integrate CNV with Expression toIdentify oncogene MITF in melanoma

  25. Summary • SNP and CNV • SNP distribution and characteristics • Allele frequency (minor allele > 1%) • LD: linkage ~ physical proximity • Population stratification • SNP discovery: heteroduplex • SNP genotyping • SNP array • CNV detection: HMM

  26. Acknowledgement • Stefano Monti • Tim Niu • Kenneth Kidd, Judith Kidd and Glenys Thomson • Joel Hirschhorn • Greg Gibson & Spencer Muse

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