variance components for modeling quantitative …csg.sph.umich.edu/abecasis/class/666.27.pdfvariance...
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![Page 1: Variance Components for Modeling Quantitative …csg.sph.umich.edu/abecasis/class/666.27.pdfVariance Components for Modeling Quantitative Traits Biostatistics 666 Guest Lecturer Michael](https://reader031.vdocuments.mx/reader031/viewer/2022021822/5b25331f7f8b9aae258b4ce5/html5/thumbnails/1.jpg)
Variance Components for Modeling Quantitative Traits
Biostatistics 666Guest Lecturer
Michael Boehnke
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Today
Analysis of quantitative traits
Kinship coefficients• measure of genetic similarity between two individuals
Modeling covariance for pairs of individuals• estimating heritability• estimating locus-specific heritability
Extending the model to larger pedigrees
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Kinship Coefficients
Summarize genetic similarity between pairs of individuals.
In a variance components model, they predict the phenotypic similarity between individuals.
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Kinship Coefficients – DefinitionGiven two individuals• One with genes (gi, gj)• The other with genes (gk, gl)
The kinship coefficient is:• ¼P(gi≡gk) + ¼P(gi≡gl) + ¼P(gj≡gk) + ¼P(gj≡gl)• where “≡” represents identity by descent (IBD)
Probability that two genes sampled at random from each individual are (IBD)
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Some kinship coefficients
Unrelated (ϕ=0)Parent-Offspring
(ϕ=1/4)
Half-Sibs (ϕ=1/8)Siblings (ϕ=1/4) MZ Twins (ϕ=1/2)
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What about other relatives?
For any two related individuals i and j …
… use a recursive algorithm allows calculation of kinship coefficient
Algorithm requires an order for individuals in the pedigree where ancestors precede descendants
• That is where for any i>j, i is not ancestor of j• Such an order always exists!
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Computing Kinship Coefficients
The recursive definition is then (for i ≥ j):
⎪⎪⎩
⎪⎪⎨
⎧
=+≠+
==
jiji
ijiji
ifatherimother
jifatherjimotherij
)1()(
foundera is ,founders are and 0
)()(21
)()(21
21
ϕϕϕ
ϕ
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An example pedigree…
Can you find …
Suitable ordering for recursive calculation?
Calculate kinship coefficient between shaded individuals?
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So far …
Summarize genetic similarity between any two individuals …
Next, we will proceed to build a simple model for their phenotypes
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Simplest Data Structure
Pairs of related individuals• Siblings (or twins!)• Parent-Offspring
Corresponding phenotype measurements• y = (y1, y2)’
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Elements for a simple model …
If the trait is normally distributed …
Model mean and variance for y1 and y2• Mean and variance could be assumed equal …• … or they could depend on some covariates
But we are also interested in covariance between the two …
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Variance-Covariance Matrix
⎥⎦
⎤⎢⎣
⎡=Ω
)(),(),()(
221
211
yVyyCovyyCovyV
Model must describe not only variance of eachobservation but also covariance for pairs of observations
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Bivariate density function
Normal density function
Bivariate normal density function
Extends univariate density function
222
1 /)(1
21)( σµσπ
−−−= yeyL
)()'(2/1 12
1||21)( µyµyy −Ω−−− −
Ω= eLπ
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Intuition on Normal Densities
222
12
1 /)(1)2()( σµσπ −−−−= yeyL
Distance between observationand its expected value
Scaling parameter, penalizessettings with large variances
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( ) )()'(1 12
12
1||2)( µyµyy −Ω−−−− −
Ω= eL π
Bivariate Normal Densities
Distance between observationand its expected value
Scaling parameter, penalizessettings with large variances
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Possible Application…
In a sample of twinor sibling pairs, we could use all the datato estimate means,variances and evencovariances…
(Data from David Duffy)
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Incorporating Kinship Coefficients
If genes influence trait …
Covariance will differ for each class of relative pair
Instead of estimating covariance for each relationship, …
Impose genetic model that incorporates kinship and relates covariance between different classes of relative pair
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A Simple Model for theVariance-Covariance Matrix
sindividual twofor thet coefficien kinship theis
Where,
22
222
222
ϕ
σσϕσϕσσσ
⎥⎦
⎤⎢⎣
⎡
++
=Ωegg
geg
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Example…
.41284DZ male-female
.55184DZ females
.47179DZ males
.80380MZ females
.80292MZ malesrN
(Reading ability scores from Eaves et al., 1997)
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Interpretation…
Fitting a maximum likelihood model…• Eaves et. al estimated
•σg² = .81
•σe² = .19
• Found no evidence for sex differences• Saturated model did not improve fit
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Height in DZ and MZ twins
(How would you interpret these data from David Duffy?)
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So far …
Model allows us to estimate the genetic contribution to the variation in any trait
Incorporates different relative pairs …
But it doesn’t always fit…• Fortunately, the model can be easily refined
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Another Example…
.41260DZ male-female
.45165DZ females
.33167DZ males
.52353MZ females
.56271MZ malesrN
(Psychomotor retardation scores from Eaves et al., 1997)
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Refined Matrix
sindividual twofor thet coefficien kinship theis
Where,
22
22222
22222
ϕ
σσσσϕσσϕσσσσ
⎥⎦
⎤⎢⎣
⎡
++++++
=Ωecgcg
cgecg
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Interpretation…
Fitting a maximum likelihood model…• Eaves et. al estimated (for males)
•σg² = .29
•σc² = .24
•σe² = .46
• Additive genetic effects could not explain similarities. Any idea why?
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Incorporating IBD Coefficients
Covariance might differ according to sharing at a particular locus• If locus contains genes that influence the trait
Again, impose a genetic model and estimate model parameters
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Linkage
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No Linkage
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Relationship to IBD probabilities
For non-inbred pair of relatives, marker or locus-specific kinship coefficients can be derived from IBD probabilities:
)2()1( 21
41 =+== markermarkermarker IBDPIBDPϕ
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Variance-Covariance Matrix
IBD shared alleles ofnumber theon depends sindividual twofor thet coefficien kinship theis
Where,
2222
22222
22222
marker
egagamarker
gamarkerega
ϕϕ
σσσϕσσϕϕσσϕσσσ
⎥⎦
⎤⎢⎣
⎡
++++++
=Ω
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Likelihood function, Incorporating Uncertain IBD
∑
∏
∏ ∑
==
−−−−−
=
−−−−=
−
ΩΩ=Ω
==
Ω≈
Ω=
−
−=
2,1,0
)(*)'(1
2,1,0
)()'(1
Expected"" *
iesprobabilit sharing IBD )datamarker |(
|*|)2(
||)2(
12
12
1
12
12
1
jjIBDij
iij
i
i jjIBDij
Z
jIBDPZ
e
eZL jIBD
µyΩµy
µyΩµy
π
π
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How it works …
To find linkage to a particular trait…
Collect sibling pair sample
Calculate IBD for multiple points along genome
Model covariance as a function of IBD sharing at each point
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Example…
Estimated Major Gene Component
0%
10%
20%
30%
40%
0 50 100 150 200
Position (cM)
Prop
ortio
n of
Var
ianc
e
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Example…
Likelihood Ratio Chisquare
0
2
4
6
8
10
12
14
16
18
20
0 50 100 150 200
Position (cM)
Chi
squa
re
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So far …
Models for similarity between relative pairs
Kinship coefficient used to estimate overall genetic effect
Locus-specific coefficients used to detect genetic linkage
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Extensions …
The model extends gracefully to other settings:
For larger pedigrees, we extend the covariance matrix
To model genetic association, we model specific means for each individual
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Larger Pedigrees…
family thein sindividualdifferent index and IBD shared alleles ofnumber theon depends
sindividual twofor thet coefficien kinship theis
Where,
if22 if
22
222
kj
kjkj
marker
gamarker
egajk
ϕϕ
ϕσσϕσσσ
⎩⎨⎧
≠+=++
=Ω
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Multivariate density function
Normal density function
Multivariate normal density function
Extends univariate density function
222
12
1 /)(1)2()( σµσπ −−−−= yeyL
)()'( 12
12
12 ||2)( µyµyy −Ω−−−− −
Ω= eL nπ
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Means Model
ikkiii xxxyE βββµ ++++= ...)( 2211
Measured Covariatesfor Individual i
(e.g. age, sex, …)
Estimated effects for covariates(e.g. expected weight increases
1kg/year with age)
Expected Phenotypefor Individual i
(e.g. expected weight)
In addition to modeling variances and covariances, we can model the means
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Simple Association Model
Each copy of allele changes trait by a fixed amount• Include covariate counting copies for allele of interest
Evidence for association when a ≠ 0
iX
i
XayE
βµµ
+=+=
)E(yallele]mutant of copies ofnumber [*)(
i
X is the number of copies for allele of interest.βx is the estimated effect of each copy (the additive genetic value).
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Today
Analysis of quantitative traits
Kinship coefficients• Measure of genetic similarity between two individuals
Modeling covariance for pairs of individuals• estimating heritability• estimating locus-specific heritability
Extending the model to larger pedigrees
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Useful References
Amos (1994)Am J Hum Genet 54:535-543
Hopper and Matthews (1982)Ann Hum Genet 46:373–383
Lange and Boehnke (1983)Am J Med Genet 14:513-24