Margarita infers genealogies from population genotype data and uses these to map disease loci.
These genealogies take the form of the Ancestral Recombination Graph (ARG). The ARG defines a genealogical tree for each locus, and as one moves along the chromosome the topologies of consecutive trees shift according to the impact of historical recombination events.
[Genome Research Limited]
There are two stages to the analysis. First, we infer plausible ARGs using a heuristic algorithm, which can handle unphased and missing data. Second, we test the genealogical tree at each locus for a clustering of the disease cases beneath a branch. Since the true ARG is unknown, we average this analysis over an ensemble of inferred ARGs.
High resolution figures from the paper:
The method is described in:
American journal of human genetics 2006;79;5;910-22
PUBMED: 17033967; PMC: 1698562; DOI: 10.1086/508901
Margarita requires Java. See the documentation for further details.
Forward simulator for large genomic regions:
Questions about Margarita can be directed to Richard Durbin.