Bioinformatics - PowerPoint PPT Presentation

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Bioinformatics

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Comparing redundant EST sequences. Validate SNPs. Sequencing. Microchips ... o----o-o----o-o----o--o- ---o----o-o----o-o--o- ---o-o--o-o----o-o--o- Non-responders ... – PowerPoint PPT presentation

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Title: Bioinformatics


1
Bioinformatics
2
DNA Sequencer
  • Perkin Elmer ABI 3770 Automated Sequencer

3
(No Transcript)
4
Human Genetic Variation
  • Disease risk
  • Drug response
  • Correlations between biological variation and DNA
    sequence variation

5
Genetics inherited contribution to phenotypic
variation
  • Genetic Diversity
  • Genetic Identity

6
Inherited contribution to risk of type II Diabetes
  • Your neighbor (unrelated) 5-10
  • Your sibling 30-40
  • Your identical twin gt90

7
  • Virtually all medical conditions (other than
    trauma) have a genetic component
  • So does ability to react to treatments
  • Increasingly, genetic information is being used
    to diagnose and treat disease
  • Gene therapy
  • Individualized drugs

8
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

9
  • The human genome sequence 3.2 billion bp

10
  • Human Genetic Variation
  • SNPs-Single Nucleotide Polymorphisms

GATTTAGATCGCGATAGAG GATTTAGATCTCGATAGAG
11
Pharmacogenomics
  • The use of DNA sequence information to measure
    and predict the reaction of individuals to drugs.

12
Pharmacogenomics
  • Personalized drugs
  • Faster clinical trials through selected trial
    populations
  • Less drug side effects

13
Drug Responses
  • Absorption
  • Distribution
  • Activation
  • Metabolism
  • Excretion

14
  • Genetic Factors
  • Environmental Factors

15
Patients
  • Responders
  • Non-responders
  • Toxic responders

16
Goals
  • Right Drug
  • Right Dose
  • Right Patient

17
Procedure
  • Scanning
  • vs.
  • Scoring

18
Types of SNPs
  • Causative SNPs (synonymous)
  • coding SNPS
  • non-coding SNPs
  • Linked SNPs (non-synonymous)
  • non-coding SNPs

19
To find SNPs in raw sequence ...
20
Single Nucleotide Polymorphisms
  • How many?
  • What kind?
  • How do we find them?

21
  • 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.

22
GATTTAGATCGCGATAGAGGATTTAGATCTCGATAGAG
  • Rare Alleles
  • ---o--------------------
  • -----o------------------
  • -------o----------------
  • -----------o------------
  • ---------------o--------
  • -------------------o----
  • Many
  • Common Alleles
  • ----o-------------------
  • ----o-------------------
  • ----o-------------------
  • --------------------o---
  • --------------------o---
  • --------------------o---
  • Few

23
Raw Genome Data
24
Database mining
  • Discover new SNPs
  • Contig overlaps
  • Comparison along entire sequence
  • Comparing redundant EST sequences
  • Validate SNPs
  • Sequencing
  • Microchips

25
SNPs in Overlapping Genomic Sequences
Overlapping BACs from library
50 of overlaps contain polymorphisms
26
  • 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

27
(No Transcript)
28
(No Transcript)
29
Validation
  • Correlation between phenotype and SNP
  • Recombinatorial linkage vs. SNP linkage

30
GATTTAGATCGCGATAGAGGATTTAGATCTCGATAGAG
  • Common Alleles
  • ----o-------------------
  • ----o-------------------
  • ----o-------------------
  • --------------------o---
  • --------------------o---
  • --------------------o---
  • Few
  • Rare Alleles
  • ---o--------------------
  • -----o------------------
  • -------o----------------
  • -----------o------------
  • ---------------o--------
  • -------------------o----
  • Many

31
Data from 24 individuals for the marker S gene
1118
32
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-

33
Microarrays and Genechips
  • Expression Studies
  • measure RNA levels
  • allow study of genes under different conditions,
    from different tissues, and/or different
    developmental stages
  • Human Genetic Variation
  • Single nucleotide polymorphisms (SNPs)

34
cDNA spotted microarrays
35
5'
Cleavage site
C
5'
C
5'
Release of Probe Arm
G
Probe arm becomes invader in secondary reaction
Cleavage site
F
5'
C
Release of fluorescent molecule
F
Invader Reaction
36
Cleavage site
5-CGCGCCGAGG
ATTCCAGCCAGTGGGGA-3 Downstream primary probe
5-CGGCAGCTTCCT CGG CCATTGCT Upstream invader
3-GCCGTCGAAGGAGCCGGTAACGTAAGGTCGGTCACCCCT-5
Target
Cleavage site
5-F-T
CTCGTCTCGG
T
T
Signal Probe
5-CGCGCCGAGGA
T
T
GCGCGGCTCCAGAGCAGAGCC
5-F-T
Invader Reaction for marker S gene 1118
37
Data from 24 individuals for the marker S
gene 1118
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