Gene by environment effects

107
Gene by environment effects

description

Gene by environment effects. Elevated Plus Maze (anxiety). Modelling E, G and GxE. H 0 : phenotype ~ 1. H 1 : phenotype ~ covariate. H 2 : phenotype ~ covariate + LocusX. H 3 : phenotype ~ covariate + LocusX + covariate:LocusX. - PowerPoint PPT Presentation

Transcript of Gene by environment effects

Page 1: Gene by environment effects

Gene by environment effects

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Elevated Plus Maze (anxiety)

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Modelling E, G and GxE

H1: phenotype ~ covariate

H2: phenotype ~ covariate + LocusX

H3: phenotype ~ covariate + LocusX + covariate:LocusX

H0: phenotype ~ 1

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PRACTICAL: Inclusion of gender effects in a genome scan

To start:1. Copy the folder faculty\valdar\FridayAnimalModelsPractical to your owndirectory.2. Start R3. File -> Change Dir… and change directory to yourFridayAnimalModelsPractical directory4. Open Firefox, then File -> Open File, and open “gxe.R”in the FridayAnimalModelsPractical directory

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H0: phenotype ~ sex

H1: phenotype ~ sex + marker

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scan.markers(Phenotype ~ Sex + MARKER,

h0 = Phenotype ~ Sex,

... etc)

H0: phenotype ~ sex

H1: phenotype ~ sex + marker

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scan.markers(Phenotype ~ Sex + MARKER,

h0 = Phenotype ~ Sex,

... etc)

H0: phenotype ~ sex

H1: phenotype ~ sex + marker

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scan.markers(Phenotype ~ Sex + MARKER,

h0 = Phenotype ~ Sex,

... etc)

H0: phenotype ~ sex

H1: phenotype ~ sex + marker

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head(ped.gender0)

anova(lm(Phenotype ~ Sex + m1 + Sex:m1, data=ped.gender0))

head(ped.gender1)

anova(lm(Phenotype ~ Sex + m1 + Sex:m1, data=ped.gender1)

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New approaches

Advanced intercross lines

Genetically heterogeneous stocks

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F2 Intercross

x

Avg. Distance BetweenRecombinations

F1

F2F2 intercross

~30 cM

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Advanced intercross lines (AILs)

F0

F1

F2

F3

F4

Darvasi A, Soller M (1995) Advanced intercross lines, an experimental population for fine genetic mapping. Genetics 141: 1199-1207.

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Chromosome scan for F12

position along whole chromosome (Mb)

goodness of fit(logP)

0 100cM

significance threshold

QTL

Typicalchromosome

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PRACTICAL: AILs

To start:1. Open Firefox, then File -> Open File, and open “ail_and_ghosts.R”in the FridayAnimalModelsPractical directory

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Genetically Heterogeneous Mice

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F2 Intercross

x

Avg. Distance BetweenRecombinations

F1

F2F2 intercross

~30 cM

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Pseudo-random matingfor 50 generations

Heterogeneous Stock F2 Intercross

x

Avg. Distance Between Recombinations:

F1

F2HS

~2 cMF2 intercross

~30 cM

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Pseudo-random matingfor 50 generations

Heterogeneous Stock F2 Intercross

x

Avg. Distance Between Recombinations:

F1

F2HS

~2 cMF2 intercross

~30 cM

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Genome scans with single marker association

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High resolution mapping

0

1

2

3

4

5

6

7

8

64 64.2 64.4 64.6 64.8 65 65.2

position (cM)

-logP

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Relation Between Marker and Genetic Effect

Observable effect

QTL Marker 1

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Relation Between Marker and Genetic Effect

Observable effect

QTLMarker 2 Marker 1

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Relation Between Marker and Genetic Effect

No effect

observableObservable

effect

QTLMarker 2 Marker 1

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Hidden Chromosome Structure

Observed chromosome structure

Multipoint method (HAPPY) calculates the probability that an allele descends from a founder

using multiple markers

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Haplotype reconstruction using HAPPY

chromosome

genotypes

haplotypeproportionspredicted byHAPPY

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HAPPY model for additive effects

Strain f (strain)LP.J 0.04

DBA.2J 0.05CBA.J 0.03

C57BL.6J 0.07C3H.HeJ 0.36BALB.cJ 0.07AKR.J 0.03

A.J 0.36

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Genome scans with single marker association

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Genome scans with HAPPY

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Results for our HS

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Many peaks

mean red cell volume

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How to select peaks: a simulated example

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How to select peaks: a simulated example

Simulate 7 x 5% QTLs

(ie, 35% genetic effect)

+ 20% shared environment effect

+ 45% noise

= 100% variance

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Simulated example: 1D scan

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Peaks from 1D scan

phenotype ~ covariates + ?

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1D scan: condition on 1 peak

phenotype ~ covariates + peak 1 + ?

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1D scan: condition on 2 peaks

phenotype ~ covariates + peak 1 + peak 2 + ?

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1D scan: condition on 3 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + ?

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1D scan: condition on 4 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 +peak 4 + ?

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1D scan: condition on 5 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + peak 4 + peak 5 + ?

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1D scan: condition on 6 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + peak 4 + peak 5 + peak 6 + ?

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1D scan: condition on 7 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + peak 4 + peak 5 + peak 6 + peak 7 + ?

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1D scan: condition on 8 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + peak 4 + peak 5 + peak 6 + peak 7 + peak 8 + ?

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1D scan: condition on 9 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + peak 4 + peak 5 + peak 6 + peak 7 + peak 8 + peak 9 + ?

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1D scan: condition on 10 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + peak 4 + peak 5 + peak 6 + peak 7 + peak 8 + peak 9 + peak 10 + ?

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1D scan: condition on 11 peaks

phenotype ~ covariates + peak 1 + peak 2 + peak 3 + peak 4 + peak 5 + peak 6 + peak 7 + peak 8 + peak 9 + peak 10 + peak 11 + ?

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Peaks chosen by forward selection

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Bootstrap sampling

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10 subjects

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Bootstrap sampling

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10 subjects

sample withreplacement

bootstrap samplefrom

10 subjects

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Forward selection on a bootstrap sample

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Forward selection on a bootstrap sample

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Forward selection on a bootstrap sample

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Bootstrap evidence mounts up…

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In 1000 bootstraps…

Bootstrap Posterior Probability(BPP)

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Results

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Tea Break

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Study design

2,000 mice

15,000 diallelic markers

More than 100 phenotypes

each mouse subject to a battery of tests spread over weeks 5-9 of the animal’s life

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101 Phenotypes

Anxiety (conditioned and unconditioned tasks) [24]

Asthma (plethysmography) [13]

Biochemistry [15]

Diabetes (glucose tolerance test) [16]

Haematology [15]

Immunology [9]

Weight/size related [8]

Wound Healing [1]

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High throughput phenotyping facilityHigh throughput phenotyping facility

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Photo ID

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Open Field

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Open Field

Anxious mouse

Non anxious mouse

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Elevated Plus Maze (anxiety)

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Food hyponeophagia(reluctance to try new food)

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“Home Cage” activity

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Startle&

Conditioning

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Plethysmograph

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Plethysmograph

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Glucose Tolerance Test (diabetes)

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Wound healing

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PRACTICAL: http://gscan.well.ox.ac.uk

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END

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An individual’s phenotype follows a mixture of normal distributions

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m

Maternal chromosomePaternal chromosome

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mChromosome 1Chromosome 2

ABCDEF

Strains

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Markers

m

ABCDEF

Strains

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Markers

m

ABCDEF

Strains

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Markers

m

0.5 cM

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Markers

m

0.5 cM 1 cM

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Markers

m0.5 cM 1 cM

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Analysis

Probabilistic Ancestral Haplotype Reconstruction (descent mapping): implemented in HAPPY

http://www.well.ox.ac.uk/~rmott/happy.html

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M1

Q

M2

m1

q

m2

M1

?

m2

recombination

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M1

Q

M2

m1

q

m2

m1

Q

M2

M1

q

m2

M1

q

m2

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M1

Q

M2

m1

q

m2 M1

Q

m2

M1

Q

m2

m1

q

M2

m1

Q

M2

M1

q

m2

M1

q

m2

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M1

Q

M2

m1

q

m2

M1

m2

M1

m2

m1

m2

m1

M2

M1

m2

M1

m2

Q q

Q q q

Q

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M1

?

m2

m1

?

m2

1c

2c

cM distancesdetermineprobabilities

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0|Pr

5.0|Pr

5.0|Pr

2121

2121

2121

mmmMQQ

mmmMqQ

mmmMqq

M1

?

m2

m1

?

m2

1c

2c

cM distancesdetermineprobabilities

Eg,

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Interval mapping

M1 M2

m1 m2

M1m1

M2m2

LODscore

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Interval mapping

M1 M2

m1 m2

M1m1

M2m2

LODscore

Qq

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Interval mapping

M1 M2

m1 m2

M1m1

M2m2

LODscore

Qq

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Interval mapping

M1 M2

m1 m2

M1m1

M2m2

LODscore

Qq