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A kinship based method of measuring genetic diversity

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Maximum genetic variation of a population in HW ... Limousine. LIM. ETH225. 8. Holstein Friesian. HF. ETH003. 11. Galloway. GAL. INRA23. 11. Dutch Friesian ... – PowerPoint PPT presentation

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Title: A kinship based method of measuring genetic diversity


1
A kinship based method of measuring genetic
diversity
  • Herwin Eding
  • ID-Lelystad
  • Lelystad, The Netherlands

2
Short outline of presentation
  • Definition of genetic diversity
  • Why kinships?
  • Marker Estimated Kinships
  • Similarity index
  • Accounting for probability AIS
  • Core set diversity
  • Application

3
Definition Genetic Diversity
  • Maximum genetic variation of a population in
    HW-equilibrium derived from a set of conserved
    breeds

4
Kinships and genetic diversity (1)
  • VGw VG1 fw
  • (Falconer and MacKay, 1996)
  • Diversity proportional to (1- fW)
  • Max(diversity) gt min(fW)

5
Kinships and genetic diversity (2)
  • Kinship coefficients from pedigrees
  • Between breed diversity
  • Within breed diversity relative to others
  • No/insufficient administration
  • gt Use marker information

6
Marker Estimated Kinships
  • Similarity score
  • Based on definition Malecot, 1948
  • Correction for alleles Alike In State
  • not IBD

7
Marker Estimated Kinships (2)Similarity Index
Genotype x y Sxy AA AA 1 AA AB ½ AB AB ½
AB BC ¼ AB CD 0
  • If Prob(AIS) 0, E(Sxy) fxy

8
Marker Estimated Kinships (3) Correction for
alleles Alike In State (AIS)
  • When Prob(AIS) gt 0
  • Sij,l fij (1 fij)sl
  • sl (1 sl)fij
  • sl Prob(AIS) for locus l
  • Estimate
  • fij (Sij,l sl)/ (1 sl)

9
Marker Estimated Kinships (4)Definition of value
of s
  • Assume a founder population P, in which all
    relations are zero
  • S(P) s (1 s)fP s
  • sl sum(qil2), where qil allele frequency in P
  • If (A,B) oldest fission s mean(An, Bm)
  • Where n populations in cluster A and m
    populations in cluster B

10
Marker Estimated Kinships (5)Linear estimation
of s and f
  • ln(1 - S) ln(1-f)(1-s)
  • ln(1-f ) ln(1-s )
  • BLUP-like model
  • ln(1-Sijl) ln(1- fij) ln(1-s0,l)
  • Yij,l (?Z Xija) Xlb

11
Marker Estimated Kinships (6)
  • Mixed Model
  • ? between and within population mean kinship
  • W varln(1-Sijl), gives priority to more
    informative loci
  • ?I to regress fij back to mean

12
Core set diversity (1)
  • cMc mean(Kinship)
  • if cMc is small, genetic diversity is large
  • Adjust c so that average kinship is minimal

13
Core set diversity (2)Definition of genetic
diversity
  • The genetic diversity in a set of populations
  • Div(M) Div(cs) 1 - fcs
  • Describes fraction of diversity of founder
    population left.
  • fP 0 -gt Div(P) 1

14
Application
  • 10 Dutch cattle populations
  • 11 Microsatellite markers

Breeds
Abrev.
Marker loci
alleles
Belgian Blue
BBL
BM1824
7
Dutch Red Pied
DRP
BM2113
12
Dutch Black Belted
DBB
ETH010
9
Limousine
LIM
ETH225
8
Holstein Friesian
HF
ETH003
11
Galloway
GAL
INRA23
11
Dutch Friesian
DF
SPS115
7
Improved Red Pied
IRP
TGLA122
23
Blonde d'Aquitaine
BA
TGLA126
8
Heck
HCK
TGLA227
14
15
Application (2)
  • Kinship tree

16
Application (3)
17
Application (4)
18
Conclusions (1)Genetic diversity and kinships
  • Defined Gen Div ? VG,W
  • VG,W (1 - fW)VG
  • Gen Div proportional to (1 - fW)
  • Core set Set with minimum mean kinship

19
Conclusions (2)MEK and genetic diversity
  • Kinship matrix from MEK
  • AIS
  • Definition of founder population
  • Measure between and within population diversity

20
Conclusions (3)General
  • Not computer intensive
  • In theory no limits to Nbreeds
  • Extend to individuals
  • Results are promising

21
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