Notes
Slide Show
Outline
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Methods to explain genomic estimates of breeding value
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Genomic Goals
  • Predict young bulls and cows more accurately
  • Compare actual DNA inherited
  • Use exact relationship matrix G instead of expected values in A
  • Trace chromosome segments
  • Locate genes with large effects
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How Related are Relatives?
  • Example: Full sibs
    • are expected to share 50% of their DNA on average
    • may actually share 45% or 55% of their DNA because each inherits a different mixture of chromosome segments from the two parents.
  • Combine genotype and pedigree data to determine exact fractions
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Genomic Relationships
  • Measures of genetic similarity
    • A = Expected % genes identical by descent from pedigree (Wright, 1922)
    • G = Actual % of DNA shared (using genotype data)
    • T = % genes shared that affect a given trait (using genotype and phenotype)
  • Best measure depends on use
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Markers vs QTLs
  • Models contain markers, not QTLs
    • M is markers inherited minus freq
    • M M’ / ∑ p(1-p) = G
  • List all QTL affecting a trait
    • Q is alleles inherited minus freq
    • q contains effects of alleles
    • u = Q q , var(q) = Vq
    • var(u) = E(u u’) = Q Vq Q’ = T
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QTL Relationship Matrix (T)
  • Three bulls have +50 PTA protein.
  • Do they have the same genes?
    • Extremely unlikely.
    • Bull A could have 10 positive genes.
    • Bull B could have 10 positive genes, but on different chromosomes.
    • Bull C could have 20 positive and 10 negative genes.
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Genes in Common at One Locus
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Alleles Shared by Sibs
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Unrelated Individuals?
  • No known common ancestors
  • Many unknown common ancestors born before the known pedigree
  • Relationships in base
    • 0 ± x.x% due to earlier ancestors
    • Called linkage disequilibrium (LD)
    • Poor terminology, genes may not be physically linked
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Traditional Pedigree
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Genomic Pedigree
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Example of a SNP haplotype
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SNP Pedigree
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Haplotype Pedigree
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Translate Haplotype to Genotype
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Genotype Pedigree
Count number of second allele
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Reliability from Full Sibs
50,000 markers, 1000 QTLs, sib REL = 99%
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Conclusions
  • Relationships can be defined as:
    • A = expected genes in common
    • G = actual DNA in common
    • T  = QTL alleles in common for a trait
  • Full sibs share 50% ± 3.5% of  DNA.
  • “Unrelated” animals share more or fewer unknown ancestors than average.
  • Reliability can increase if genomic (G) replace traditional (A) relationships