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Bioinformatics:%20SNPs

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Little success for common complex traits, such as heart disease, ... Causative SNPs. coding SNPS. non-coding SNPs. Linked SNPs. non-coding SNPs. Raw Genome Data: ... – PowerPoint PPT presentation

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Title: Bioinformatics:%20SNPs


1
Bioinformatics SNPs
2
Genome Sequencing
3
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4
Genetics
  • Inherited contribution to phenotypic variation

5
  • Environmental factors
  • Genetic factors
  • independent determinants
  • determinants which govern reaction to
    environmental factors

6
Genetics
  • Genetic Identity
  • Genetic Diversity

7
Genomics and Biomedicine
  • Medical conditions
  • Diagnosis and Treatments
  • Gene therapy
  • Individualized drugs

8
Human Genetic Variation
  • Disease risk
  • Drug response

Biological variation vs. DNA sequence variation
9
Inherited contribution to risk of type II Diabetes
  • Your neighbor (unrelated) 5-10
  • Your sibling 30-40
  • Your identical twin gt90

10
Traditional Approach
  • Linkage or recombinatorial mapping
  • Successful for single gene disorders
  • Little success for common complex traits, such as
    heart disease, diabetes, asthma, mental disorders

11
  • The human genome sequence 3.2 billion bp

12
  • 99.9 identity - how many differences?
  • O.1 of 3.200 Mb 3.2 Mb
  • 3.200.000 SNPs (?)
  • One SNP every 1,300 bases.

13
  • Human Genetic Variation
  • SNPs-Single Nucleotide Polymorphisms

GATTTAGATCGCGATAGAG GATTTAGATCTCGATAGAG
14
Pharmacogenomics
  • The use of DNA sequence information to measure
    and predict the reaction of individuals to drugs.

15
Pharmacogenomics
  • Personalized drugs
  • Faster clinical trials through selected trial
    populations
  • Less drug side effects

16
Drug Responses
  • Absorption
  • Distribution
  • Activation
  • Metabolism
  • Excretion

17
  • Genetic Factors
  • Environmental Factors

18
Patients
  • Responders
  • Non-responders
  • Toxic responders

19
Goals
  • Right Drug
  • Right Dose
  • Right Patient

20
  • Scanning
  • vs.
  • Scoring

21
Types of SNPs
  • Causative SNPs
  • coding SNPS
  • non-coding SNPs
  • Linked SNPs
  • non-coding SNPs

22
Raw Genome Data
23
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24
To find SNPs in raw sequence ...
25
Single Nucleotide Polymorphisms
  • How many?
  • What kind?
  • How do we find them?

26
GATTTAGATCGCGATAGAGGATTTAGATCTCGATAGAG
  • Rare Alleles
  • ---o--------------------
  • -----o------------------
  • -------o----------------
  • -----------o------------
  • ---------------o--------
  • -------------------o----
  • Many
  • Common Alleles
  • ----o-------------------
  • ----o-------------------
  • ----o-------------------
  • --------------------o---
  • --------------------o---
  • --------------------o---
  • Few

27
Raw Genome Data
28
Database mining
  • Discover new SNPs
  • Contig overlaps
  • Comparison along entire sequence
  • Comparing redundant EST sequences
  • Validate SNPs
  • Sequencing
  • Microchips

29
  • gtgbBE588357.1BE588357 194087 BARC 5BOV Bos
    taurus cDNA Length369
  • Score 272 bits (137), Expect 4e-71
  • Identities 258/297 (86), Gaps 1/297 (0)
  • Strand Plus / Plus
  • Query 17 aggatccaacgtcgctccagctgctcttgacgactccac
    agataccccgaagccatggca

  • Sbjct 1 aggatccaacgtcgctgcggctacccttaaccact-c
    gcagaccccccgcagccatggcc
  • Query 77 agcaagggcttgcaggacctgaagcaacaggtggagggg
    accgcccaggaagccgtgtca

  • Sbjct 60 agcaagggcttgcaggacctgaagaagcaagtggaggg
    ggcggcccaggaagcggtgaca
  • Query137 gcggccggagcggcagctcagcaagtggtggaccaggcca
    cagaggcggggcagaaagcc

  • Sbjct 120 tcggccggaacagcggttcagcaagtggtggatcaggcc
    acagaagcagggcagaaagcc

  • Query 197 atggaccagctggccaagaccacccaggaaaccatcgac
    aagactgctaaccaggcctct

  • Sbjct 180 atggaccaggttgccaagactacccaggaaaccatcga
    ccagactgctaaccaggcctct

30
SNPs in Overlapping Genomic Sequences
Overlapping BACs from library
50 of overlaps contain polymorphisms
31
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32
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33
Validation
  • Correlation between phenotype and SNP
  • Recombinatorial linkage vs. SNP linkage

34
GATTTAGATCGCGATAGAGGATTTAGATCTCGATAGAG
  • Common Alleles
  • ----o-------------------
  • ----o-------------------
  • ----o-------------------
  • --------------------o---
  • --------------------o---
  • --------------------o---
  • Few
  • Rare Alleles
  • ---o--------------------
  • -----o------------------
  • -------o----------------
  • -----------o------------
  • ---------------o--------
  • -------------------o----
  • Many

35
Data from 24 individuals for the marker S gene
1118
36
GATTTAGATCGCGATAGAGGATTTAGATCTCGATAGAG
  • Responders
  • ---o----o--------o----o------o----o--o-
  • ---o----o--------o----o-----------o--o-
  • ---o-o--o--------o----o-----------o--o-
  • Non-responders
  • --------o--------------------o----o--o-
  • ----o---o--------------------o----o--o-
  • --------o--------------------o----o--o-
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