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Correlations Between Characters

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Title: Correlations Between Characters


1
Correlations Between Characters
  • In Genetics and Analysis of Quantitative traits
  • by
  • Lynch, M. and Walsh, B.
  • Presented
  • Sansak Nakavisut

2
Topics
  • Covariance and Correlation
  • Genetic Covariance
  • Estimation of the Genetic Correlation
  • Pairwise Comparison of Relatives
  • Nested Analysis of Variance and Covariance
  • Regression of Family Means

3
Covariance
  • Covariance measures how much 2 variables vary
    together
  • wt age, age grey hair ADG NBA
  • If 2 variables vary in opposite direction, Cov
    can be ve eg. ADG FCR
  • Cov of a variable with itself Variance

4
Covariance Variance
5
Example
6
Correlation
A measure of the strength of a bivariate linear
relationship 1 lt r lt 1
7
Correlation Regression
8
Properties of covariance
  • "The expected value of the cross product"
  • Cov(a,Y) 0
  • Cov(aX,Y) aCov(X,Y)
  • Cov(XW,Y) Cov(X,Y) Cov(W,Y)
  • Cov(X,X) Var(x)
  • Cov(aX,Y) Cov(a,Y) Cov(X,Y) Cov(X,Y)
  • Cov(X,Y) Cov(Y,X)

9
Correlations between Characters
  • Phenotypic correlations ie height feet size
  • Environmental correlations
  • Genetic correlations ? pleiotropy ? gametic phase
    disequilibrium

10
Genetic covariance
G1
G2
11
Estimation of the genetic correlation
  • Three methods
  • Pairwise Comparison of Relatives
  • Nested Analysis of Variance and Covariance
  • Regression of Family Means
  • Extra method not in the book

12
Pairwise Comparison of Relatives
  • Data from pairs of relatives
  • ie mid-parent (x) values for Trait1 and Trait2
  • And progeny means (y) for Trait1 and Trait2
  • Four phenotypic Cov. can be computed
  • Cov(x1,y1) Cov(x2,y2) gtgtgt heritabilities T1T2
  • Cov(x1,y2) Cov(x2,y1) gtgtgt rg(1,2)

13
Pairwise Comparison of Relatives
14
Genetic correlation
15
Example from my real data
16
Estimate of additive genetic correlation between
ADG FCR
17
Nested Analysis of Var and Cov
  • Nested full-sib and half-sib designs (Ch 18)
  • Provide nested analysis of genetic variance
  • Mean squared deviations of individual traits
  • A parallel analysis gt add. genetic covariance
  • Mean cross-products of the deviations of traits 1
    and 2 rather than MS

18
Full-sib design
T1 T2
T1 T2
11
T1 T2
T1 T2
T1 T2
12
T1 T2
T1 T2
T1 T2
21
T1 T2
19
Half-sib design
T1 T2
11
T1 T2
12
T1 T2
21
20
Analysis of Variance (half-sib)
21
Analysis of Covariance (half-sib)
22
ANOVA (half-sib) ADG FCR
ADG
FCR
23
Analysis of Cov(ADG,FCR) (half-sib)
24
Regression of Family means
  • Correlation between family mean phenotypes
  • The Family size ?, the sampling errors ?
  • Family mean phenotype ? Family mean genotype value

25
Regression of family means in practice
26
This is how we do it now (REML)
correlation between ADG FCR Anim !P Sire !P
Dam !P ADG FCR chapter21.ped !ALPHA data.dat
!MAXIT 30 ADG FCR Trait !r Tr.Anim 1 2 1 0 Tr
0 US 1 0.1 1 Tr.Anim 2 Tr 0 US 1 0.1 1 Anim
h1 0.5998 ? 0.0198 h2
0.5109 ? 0.0229 rp -0.4391? 0.0111
rg -0.4001? 0.0302
27
THE END
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