Can heritability be modeled as a function of DNA marker sharing at a particular chromosomal location using pihat? - PowerPoint PPT Presentation

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Can heritability be modeled as a function of DNA marker sharing at a particular chromosomal location using pihat?

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Title: Can heritability be modeled as a function of DNA marker sharing at a particular chromosomal location using pihat?


1
Can heritability be modeled as a function of DNA
marker sharing at a particular chromosomal
location using pihat?
2
rMZ rDZ 1
rMZ 1, rDZ 0.5
E
E
rMZ 1, rDZ 0, 0.5 or 1
C
C
e
e
A
A
c
c
a
a
Q
Q
q
q
Twin 1
Twin 2
4 group linkage analysis (3 IBD DZ groups and 1
MZ group)
3
Pihat
  • Merlin estimates the 3 IBD probabilities for each
    sib pair at each location
  • Remember pibd2 pibd1 pibd0 1
  • Pihat pibd21 pibd10.5 pibd00
  • Estimate of the probability of sharing alleles
    identical by descent
  • Proxy additive genetic correlation at the locus

4
rMZ rDZ 1
rMZ 1, rDZ 0.5
E
E

rMZ 1, rDZ ?
C
C
e
e
A
A
c
c
a
a
Q
Q
q
q
Twin 1
Twin 2
5
Pihat Mx Script for 1 marker
  • !QTL analysis via Pihat method
  • !Using marker1
  • !Using MZ and DZ twins
  • !Analysis of LDL
  • !Dutch Adults
  • define nvar 1 !different for
    multivariate
  • define nsib 2 !number of siblings
  • NGroups 3
  • G1 Parameter Estimates
  • G2 Monozygotic twins
  • G3 Dizygotic twins

6
Group 1 specify parameters
  • Begin Matrices
  • X Lower nvar nvar Free !additive genetic
    parameter
  • Y Lower nvar nvar Free !shared environmental
    parameter
  • Z Lower nvar nvar Free !unique environmental
    parameter
  • L Full nvar 1 Free !QTL effect
  • Begin Algebra
  • A XX' !additive
    genetic variance
  • C YY' !shared
    environmental variance
  • E ZZ' !unique
    environmental variance
  • Q LL' !variance due
    to QTL
  • V ACQE !total variance
  • T ACQE !parameters in one
    matrix for standardizing
  • S T_at_V !standardized
    variance component estimates

7
Group 2 MZ twins
  • See Group 1
  • M Full 1 nvar Free !means
  • U Unit 1 nsib
  • include lipidmz.dat
  • Select ldl1 ldl2
  • Begin Matrices Group 1
  • Means U_at_M
  • Covariance ACQE ACQ _
  • ACQ ACQE
  • End

8
Group 3 DZ twins
  • include lipiddz.dat
  • Select ibd0m1 ibd1m1 ibd2m1 ldl1 ldl2
  • Definition ibd0m1 ibd1m1 ibd2m1
  • Begin Matrices Group 1
  • K Full 3 1 !IBD
    probabilities (from Merlin)
  • J Full 1 3 !coefficients
    0,0.5,1 for pihat
  • End Matrices
  • Specify K ibd0m1 ibd1m1 ibd2m1
  • Matrix J 0. 0.5 1.0
  • Begin Algebra
  • P JK !estimate of
    pihat
  • End Algebra

9
Group 3 End Multiple Fit
  • Means U_at_M
  • Covariance ACQE H_at_ACP_at_Q _
  • H_at_ACP_at_Q ACQE
  • Start 1 All
  • Start 2.8 M 1 1 1
  • Option NDecimals3
  • Option Multiple Issat
  • End
  • ! Test significance of QTL effect
  • Drop L 1 1 1
  • End

10
Exercise
  • Fit ACEQ model to MZ/DZ data for one location at
    a time
  • Fit ACE model to (drop Q)
  • Is the QTL effect significant?
  • Plot the results

11
Basic script and data (LDL)
  • ACEQ model in MZ/DZ twins lipidpihatmzdz1.mx
  • f\hmaes\a16\martin\linkage
  • IBD probabilities every 2 cM gt 54 locations
  • Rectangular files DZ lipiddz.rec
  • MZlipidmz.rec
  • Dat files DZ lipiddz.dat
  • MZ lipidmz.dat
  • FEQ model for DZ twins only lipidpihat1.mx

12
Fit to marker number according to table position
1 16 17 32 33
2 15 18 31 34
3 14 19 30 35
4 13 20 29 36
5 12 21 28
6 11 22 27
7 10 23 26
8 9 24 25
13
Chi-square for all locations
14
Pihat Mx Script for N locations
  • repeat 54 !total number of
    markers N
  • Begin Script
  • Group 3
  • include lipiddz.dat
  • include seldefrepeat_number
  • Select ibd0m? Ibd1m? Ibd2m? ldl1 ldl2
  • Definition ibd0m? ibd1m? Ibd2m?
  • include specifyrepeat_number
  • Specify K ibd0m? ibd1m? ibd2m?
  • Rest Script
  • end repeat

15
Extended script and data (LDL)
  • ACEQ model in MZ/DZ twins lipidpihatmzdz54.mx
  • IBD probabilities every 2 cM gt 54 locations
  • Rectangular files DZ lipiddz.rec
  • MZlipidmz.rec
  • Dat files DZ lipiddz.dat
  • MZ lipidmz.dat
  • Help files seldef1 seldef54
  • specify1 specify54
  • FEQ model for DZ twins only lipidpihat54.mx

16
Get summary of results
  • Unix commands in Cygwin on PC
  • grep Difference Chi-squared lipidpihat54.mxo gt
    chi54
  • awk print 4 chi54 gt chisq54
  • pico chisq54
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