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Outline

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but looking at the entire genome! That is: 500.000 SNPs! High ... 1. Human Genome Project. Good for consensus, not good for individual. differences ... – PowerPoint PPT presentation

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Title: Outline


1
Outline
  • Basics
  • What is association?
  • Whole genome association
  • CoLaus Study
  • Challenges

2
Genetic variation SNPs
3
Phenotypic variation
4
What is association?
chromosome
SNPs
trait variant
Genetic variation yields phenotypic variation
Population with allele
Population with allele
Distributions of trait
5
Quantifying Significance
6
T-test
t-value (significance) can be translated into
p-value (probability)
7
Whole Genome Association
8
Whole Genome Association
Similar approach, but looking at the entire
genome! That is 500.000 SNPs!
9
Whole Genome Association
Scan Entire Genome - 500,000s SNPs
Identify local regions of interest,
examine genes, SNP density gegulatory regions, etc
Replicate the finding
10
Linkage Disequilibrium
D
1
2
3
n
Marker
LD
Markers close together on chromosomes are often
transmitted together, yielding a non-zero
correlation between the alleles.
11
Building Haplotype Maps for Gene-finding
1. Human Genome Project ? Good for consensus,
not good for individual differences
2. Assay genetic variants ? Verify
polymorphisms, catalogue correlations
amongst sites ? Anonymous with respect to
traits
12
Imputing SNPs
13
GWA gt20 publications in 2006/2007
Massive!
14
CoLaus Cohort Lausanne
Genotypes
Phenotypes
6189 individuals
159 measurement 144 questions
500.000 SNPs
Collaboration withPeter Vollenweider Gerard
Waeber(CHUV)
15
Analysis of Genotypes only
Principle Component Analysis reveals SNP-vectors
explaining largest variation in the data
16
Ethic groups cluster according to geographic
distances
PC2
PC2
PC1
PC1
17
WGA with different covariates indicate importance
of population stratification
Genomic Control
Origin of grandparents
Both
Principal Components
18
Challenges
  • Multiple Hypothesis testingIs one SNP with
    p10-6 a significant result when testing 500.000
    SNPs?
  • Covariates InteractionsFor what do we have to
    correct the phenotypes?(Age, sex, treatments,
    other SNPs )
  • Data IntegrationHow to validate
    finding?(Replication Studies, Meta-Analyses,
    Re-sequencing, Function Studies, )

19
Prospects Module analysis
BPSSystolic Blood Pressure
20
Modular Approach for Integrative Analysis of
CoLaus Data
Measurements
Questions
Questionaire Or SNPs
21
Personalized Medicine
a dream or the future?
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