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Transcript
Statistical Modeling of
Ancestral Processes
Based on a Review by:
N. Rosenberg and M. Nordborg
Goal: to understand demographic history of
humans based on polymorphism data
Since Polymorphisms are Random Processes, then
they can be studied by their statistical properties
Method: Phylogenetics or Genetic Analysis
Phylogenetics/Species Tree
Genetic Anaylsis/Gene Tree
What do Genetic Methods do?
Genealogical
methods estimate
parameters of
random genealogical
processes that give
rise to each tree
Different sites can
have different
geneologies
Coalescence is used to establish a Model
For a Model you need: Coalescence,
Mutation & Recombination
You tabulate the statistical properties of
your data and compare that against known
data
Simulate Data
See which pattern
your observed data
corresponds to (see
which prediction it
looks like)
Statistical Properties can vary - this is an example of
an Average polymorphism rate
Polymorphisms are proportionate to population size
You may not want to look at the polymorphisms that
are average. So, you would expand the parameters of
your model to see if you data is expanded, collapsed,
or bottlenecked
The Model is relative to what you are trying to model