whole-genome prediction of complex traits using kernel methods

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Whole-genome prediction of complex traits using kernel methods Gota Morota May 12, 2014 1 / 31

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Presented at my Ph.D. thesis defense. University of Wisconsin-Madison.

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Page 1: Whole-genome prediction of complex traits using kernel methods

Whole-genome prediction of complex traitsusing kernel methods

Gota Morota

May 12, 2014

1 / 31

Page 2: Whole-genome prediction of complex traits using kernel methods

Outline

• Part 1: Kernel-based whole-genome prediction method

• Part 2: Application to dairy cattle and wheat data

• Part 3: Application to dairy cow health traits

• Part 4: Application to broiler chicken data using genomeannotation

• Part 5: Ph.D.-wide Conclusions

2 / 31

Page 3: Whole-genome prediction of complex traits using kernel methods

Quantitative genetics – related individuals

Figure 1 :

3 / 31

Page 4: Whole-genome prediction of complex traits using kernel methods

Prediction of complex traits from genotypes

1) GWAS-based prediction

• select influential markers first and then predict• single marker regression (2001)

• marker assisted BLUP (MABLUP, 1989)

2) Whole-genome prediction

• use all available markers simultaneously• Whole-genome marker regression

• Kernel-based regression

4 / 31

Page 5: Whole-genome prediction of complex traits using kernel methods

How to parameterize response variable y ?

1. prediction of additive genetic effects• y = E + a + ε

2. prediction of total genetic effects parametrically• y = E + a + d + a ∗ a + a ∗ d + d ∗ d︸ ︷︷ ︸

g

3. prediction of total genetic effects non-parametrically• y = E + g + ε

5 / 31

Page 6: Whole-genome prediction of complex traits using kernel methods

Whole-genome marker regressions

50K SNP panel (n << p)

1. additive model• 50K RV to predict

2. additive + dominance model• 50K + 50K RV to predict!

3. additive + dominance + second-order epistasis model• 50K + 50K RV + 50K(50K-1)/2 RV to predict!!

Overparameterization!!!!!

6 / 31

Page 7: Whole-genome prediction of complex traits using kernel methods

Kernel methods

Regression of a phenotype on a n × n symmetric positive (semi)definite matrix K

a) Parametric

• A: Pedigree kernel

• G: Additive genomic kernel

• D: Dominance genomic kernel

b ) Non-parametric

• GK: Gaussian kernel

• MK: Matern kernel

• DK: Diffusion kernel

In non-parametric kernels, choice of the metric determinescharacteristics of a kernel

7 / 31

Page 8: Whole-genome prediction of complex traits using kernel methods

Example of kernel methods: Genomic BLUP

y = g + ε (where g = Xβ) (1)

BLUP(g) = [I + (XXT )−1σ2ε

σ2β

]−1y. (2)

Under common marker variance assumption,

σ2β =

σ2g

2∑

j pj(1 − pj)(3)

Then, BLUP(g) = [I + G−1σ2ε

σ2g]−1y (4)

where G = XXT

2∑

j pj(1−pj)→ Is this the best kernel??

8 / 31

Page 9: Whole-genome prediction of complex traits using kernel methods

Euclidean space – Gaussian Kernel

Euclidean distance is a metric on a metric space called Euclideanspace

Figure 2 : 3-dimensional Euclideanspace. −∞ ≤ (X ,Y ,Z) ≤ ∞

Suppose, we observed twoindividuals with 3 SNPgenotypes.

• ID1 = x1 = (0,2,2)

• ID2 = x2 = (2,1,0)

Euclidean distance (genetic distance) on R3

||x1 − x2|| =√(0 − 2)2 + (2 − 1)2 + (2 − 0)2 = 3

9 / 31

Page 10: Whole-genome prediction of complex traits using kernel methods

Diffusion on 3 dimensional graph (Morota et al., (2013))

0 1 2

01

2

0

1

2

1st Genotype

2nd

Gen

otyp

e

3rd

Gen

otyp

e(2,1,2)

(2,0,1)

(0,1,2)

(0,2,0)

(0,1,0)

(0,1,1)

(1,0,0) (2,0,0)

(1,1,0) (2,1,0)

(1,2,0) (2,2,0)(1,0,1)

(1,1,1) (2,1,1)

(0,2,1) (1,2,1) (2,2,1)

(0,2,2) (1,2,2) (2,2,2)

(1,0,2)

(1,1,2)

Figure 3 : SNP codes are viewed as coordinates of genotypes inp-dimensional space. → spatial distance

10 / 31

Page 11: Whole-genome prediction of complex traits using kernel methods

Bayesian kernel ridge regression

A quantitative genetics decomposition is

yi = g(xi) + εi (5)

‖y − g‖2 + λ‖g‖2H

(6)

• The representer theorem is used to find the optimal g.

`(α) = ‖y − Kα‖2 + λ‖Kα‖2H

(7)

Here, g = Kα, is the function that minimizes (7).

• ‖Kα‖2H

= α′Kα, so that the function to be minimized is

`(α) = (y − Kα)′(y − Kα) + λα′Kα. (8)

11 / 31

Page 12: Whole-genome prediction of complex traits using kernel methods

Kernel Averaging (Multiple Kernel Learning)

• Fit three kernels simultaneously: K1, K2, and K3

K = K1σ2

K1

σ2K

+ K2σ2

K2

σ2K

+ K3

σ2K3

σ2K

• Example 1: Three Gaussian kernels: GK1, GK2, and GK3

K = GK1

σ2GK1

σ2K

+ GK2

σ2GK2

σ2K

+ GK3

σ2GK3

σ2K

• Example 2: Three parametric kernels: G, D, and G#D

K = Gσ2

G

σ2K

+ Dσ2

D

σ2K

+ (G#D)σ2

GD

σ2K

12 / 31

Page 13: Whole-genome prediction of complex traits using kernel methods

Part 2: Application (Morota et al., 2013)

Holstein

• 7,902 Holstein bulls (USDA-ARS AIPL)

• 43,382 SNPs

• PTA of productive life (PL)

Wheat

• 599 inbred lines

• 1,279 binary markers

• average grain yield

Methods

• Bayesian kernel ridge regression (RKHS method)

• Cross-validation

13 / 31

Page 14: Whole-genome prediction of complex traits using kernel methods

Averages of kernel elements and their predictivecorrelations for the Holstein data

Kernel θ k(xi , xj) Cor(ytest , yPTA )DK 10 0.138 0.727

11 0.483 0.74511.5 0.644 0.73912 0.765 0.73913 0.907 0.73414 0.966 0.729

GK 5 × 10−5 0.237 0.7212 × 10−5 0.551 0.7361 × 10−5 0.749 0.7425 × 10−6 0.866 0.7363 × 10−6 0.917 0.7341 × 10−6 0.971 0.729

G1 NA -0.000126 0.729G2 NA -0.000113 0.730

14 / 31

Page 15: Whole-genome prediction of complex traits using kernel methods

Averages of kernel elements and their predictivecorrelations for the wheat data

Kernel θ k(xi , xj) Cor(ytest , ytrain)Diffusion 3 0.136 0.586

3.25 0.289 0.5803.5 0.466 0.5774 0.752 0.5475 0.962 0.522

Gaussian 0.005 0.134 0.5820.003 0.290 0.5790.002 0.434 0.5620.001 0.655 0.5580.0005 0.809 0.556

G1 NA -0.003 0.518G2 NA -0.003 0.521

15 / 31

Page 16: Whole-genome prediction of complex traits using kernel methods

Part 3: Application (Morota et al., 2014)

Data

• 4,482 dairy cows (Zoetis)

• 41,266 SNPs

• EBV and PCP of six health traits

Two steps approach

1. variance components estimation using parametric kernels

2. predict total genetic values using parametric andnon-parametric kernels

Methods

• Bayesian kernel ridge regression (RKHS method)

• Cross-validation

16 / 31

Page 17: Whole-genome prediction of complex traits using kernel methods

Estimated ratios of variance components (weights)

Traits Types Variance ComponentsVG/VP VD/VP VGD/VP

KETPCP 0.09 0.13 0.14EBV 0.25 0.03 0.01

DAPCP 0.06 0.09 0.25EBV 0.39 0.04 0.30

RPPCP 0.05 0.09 0.35EBV 0.27 0.03 0.07

LAMEPCP 0.06 0.07 0.39EBV 0.39 0.03 0.27

METRPCP 0.06 0.07 0.21EBV 0.31 0.05 0.42

CMPCP 0.06 0.07 0.26EBV 0.36 0.02 0.16

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Page 18: Whole-genome prediction of complex traits using kernel methods

Scatter plots of relationships among G, D, and GD

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−0.05 0.05

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040.

000.

04

animal1

Additive relationship

Dom

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040.

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0.0 0.2

−0.

040.

020.

06

animal4

Additive relationship

Dom

inan

ce r

elat

ions

hip

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−0.05 0.05

0.00

00.

004

0.00

8

animal1

Additive relationship

Add

itive

by

dom

inan

ce r

elat

ions

hip

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−0.02 0.04

0.00

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Dominance relationship

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−0.04 0.02 0.080.

000

0.01

00.

020

animal4

Domiance relationship

Add

itive

by

dom

inan

ce r

elat

ions

hip

Figure 4 : hoge18 / 31

Page 19: Whole-genome prediction of complex traits using kernel methods

Predictive correlations for six health traits

Traits Types KernelsG GKA GKD GKALL ALL

KETPCP 0.16 0.18 0.16 0.19 0.18EBV 0.85 0.86 0.84 0.87 0.86

DAPCP 0.07 0.08 0.07 0.08 0.07EBV 0.59 0.61 0.53 0.59 0.60

RPPCP 0.03 0.05 0.05 0.06 0.05EBV 0.65 0.67 0.60 0.66 0.65

LAMEPCP 0.07 0.08 0.04 0.07 0.05EBV 0.64 0.66 0.58 0.65 0.64

METRPCP 0.05 0.07 0.04 0.05 0.05EBV 0.48 0.52 0.43 0.50 0.49

CMPCP 0.07 0.08 0.05 0.07 0.07EBV 0.72 0.74 0.68 0.73 0.73

19 / 31

Page 20: Whole-genome prediction of complex traits using kernel methods

Part 4: High-density genotyping chips• Cattle

Figure 5 : 50K SNP array (2007)Figure 6 : 778K SNP array (2010)

• Chicken

Figure 7 : 60K SNP array (2011)Figure 8 : 600K SNP array (2013)

20 / 31

Page 21: Whole-genome prediction of complex traits using kernel methods

International Sequencing Consortiums

Figure 9 : Human (2001) Figure 10 : Chicken (2004)

Figure 11 : Bovine (2009) Figure 12 : Swine (2012)

Coding DNA sequences cover only tiny fraction of the entiregenomes. The role of non-coding sequences?

21 / 31

Page 22: Whole-genome prediction of complex traits using kernel methods

Functional?

Figure 13 : FANTOM (2000∼) Figure 14 : ENCODE (2003∼)

Figure 15 : Evolutionary genetics Figure 16 : Quantitative genetics??

Which genomic regions are influential in the context of quantitativegenetics?

22 / 31

Page 23: Whole-genome prediction of complex traits using kernel methods

Methods• Data

• 1,351 chickens (Aviagen Ltd. )

• body weight at 35 days (BW), ultrasound area of breast meat(BM) and hen house production (HHP)

• Affymetrix 600K chips (580,954 SNPs)

• Kernel-based Bayesian ridge regression

• `(α|λ) = ||y − Kα||2 + λ||α||2

• 600K→ n

• 10 fold CV

Purpose of this studyWhich genomic regions play an important role in prediction ofcomplex traits?

23 / 31

Page 24: Whole-genome prediction of complex traits using kernel methods

Genomic regionsPhysical positions of SNP were mapped to Gallus gallus 4.0assembly• genic vs. intergenic regions (IGR)

Figure 17 : Illustration of intergenic DNA (Wikipedia)

• 5’ and 3’ UTR, exon, intron

Figure 18 : Gene structure (Wikipedia)

24 / 31

Page 25: Whole-genome prediction of complex traits using kernel methods

Annotation

Table 1 : Numbers of SNPs assigned to each genomicregion.

Annotation # of SNPs annotated after filteringIGR 299,498 193,970Genes ± 1kb 281,455 184,047Genes 266,947 183,768Exons 29,764 19,511CDS 21,975 14,416

Genomic region specific kernels

• All→ K0

• IGR→ K1

• Genes±1kb→ K2

• Genes→ K3

• Exons→ K4

• CDS→ K525 / 31

Page 26: Whole-genome prediction of complex traits using kernel methods

Body Weight (BW)All CDS Exons Genes Genes1kb

0.16

0.18

0.20

All

CD

S

CD

S−

IGR

Exo

ns

Exo

ns−

IGR

Gen

es

Gen

es−

IGR

Gen

es1k

b

Gen

es1k

b−IG

R

Genomic regions

Pre

dict

ive

corr

elat

ion

26 / 31

Page 27: Whole-genome prediction of complex traits using kernel methods

Breast Meat (BM)All CDS Exons Genes Genes1kb

0.25

0.26

0.27

0.28

0.29

All

CD

S

CD

S−

IGR

Exo

ns

Exo

ns−

IGR

Gen

es

Gen

es−

IGR

Gen

es1k

b

Gen

es1k

b−IG

R

Genomic regions

Pre

dict

ive

corr

elat

ion

27 / 31

Page 28: Whole-genome prediction of complex traits using kernel methods

Hen House Production (HHP)All CDS Exons Genes Genes1kb

0.19

0.20

0.21

0.22

0.23

0.24

All

CD

S

CD

S−

IGR

Exo

ns

Exo

ns−

IGR

Gen

es

Gen

es−

IGR

Gen

es1k

b

Gen

es1k

b−IG

R

Genomic regions

Pre

dict

ive

corr

elat

ion

28 / 31

Page 29: Whole-genome prediction of complex traits using kernel methods

3D Chromosome Structure

Figure 19 : Lieberman-Aiden et al. (2009) Science.

29 / 31

Page 30: Whole-genome prediction of complex traits using kernel methods

Ph.D.-wide Conclusions

No single approach stands out (traits dependent)

Figure 20 : Methods Figure 21 : Kernels

Functional genomics + quantitative genetics

30 / 31

Page 31: Whole-genome prediction of complex traits using kernel methods

Acknowledgements

Advisor

• Daniel Gianola

Committee

• Corinne Engelman

• Guilherme Rosa

• Grace Wahba

• Kent Weigel

Data

• USDA-AIPL

• CIMMYT

• Aviagen

• Zoetis

Animal Genetics group

• 4th floor

• 6th floor

31 / 31