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Nested Clade Analysis

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In 1987 Published The Nested Clade Method For Using A Haplotype ... Useful In Ultimately Identifying Causative Mutations. Extension of NCA to phylogeography ... – PowerPoint PPT presentation

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Title: Nested Clade Analysis


1
Nested Clade Analysis
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Nested Clade Analysis
  • In 1987 Published The Nested Clade Method For
    Using A Haplotype Tree As A Tool For Discovering
    Gene/Phenotype Associations
  • Nests The Haplotypes in Tree Into Evolutionary
    Clades (Branches)
  • The Resulting Nested Design Provides Framework
    For Detecting Phenotypic Associations.
  • Tests The Hypothesis That Haplotypes Or Clades
    Are Randomly Distributed In The Network With
    Respect To Phenotypes

From Templeton bioinfo.cs.technion.ac.il/forum/tem
pleton_haplotype_tree.ppt
3
The Drosophila Adh Haplotype Tree
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The Drosophila Adh Haplotype Tree
1-6
1-11
1-10
1-7
1-1
1-2
1-9
1-3
1-5
1-8
1-4
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The Drosophila Adh Haplotype Tree
2-5
2-3
2-1
2-4
2-2
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The Drosophila Adh Haplotype Tree
3-1
3-2
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Results of Nested Analysis of Variance of Adh
Activity Using The Adh Haplotype Tree




Significant 0.1 Level
Significant at 1 Level
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Functional Allelic Categories from the Nested
Analysis of Variance of Adh Activity




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Phenotypic Distributions Identified Though
Nested Clade Analysis
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Nested Clade Analyses
  • Greater Statistical Power By Focusing On Fewer
    Comparisons
  • Greater Biological Power In Detecting Mutations
    With Phenotypic Effects
  • Deals With High Levels of Genetic Variation
    Through Pooling Into Clades
  • Useful In Ultimately Identifying Causative
    Mutations

12
Extension of NCA to phylogeography
  • Substitute geographical differences for
    phenotypic differences
  • Creates landscape approach to haplotype network
  • Tests hypothesis that haplotypes are randomly
    distributed geographically with respect to those
    they are nested with in the network (null no
    association between geography and clades)

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  • If null is rejected, step-down inference key is
    used to determine mechanisms behind association
    (key)
  • Problem (Knowles and Maddison, 2002) NCA does
    not consider stochasticity (random error) in its
    approach, unlike coalescent-based models or AMOVA
  • Created simluated data sets with known
    genealogies
  • NCA repeatedly misidentified the stochastic
    process of lineage sorting, and instead,
    incorrectly assigned a deterministic process to
    patterns of genetic variation in 70 of the data
    sets.
  • Templeton created new key in 2003

15
Testing via metaanalysis
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