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2005-01-26 Features of DMLE+
The DMLE+ program allows multipoint LD mapping using an arbitrary number of SNPs or microsatellite
markers. DMLE+ implements Markov chain Monte Carlo (MCMC) methods to allow
Bayesian estimation of the posterior probability density of the position of
a disease mutation relative to a set of markers.
Current Release (DMLE+ 2.2)
- multipoint LD mapping
using an arbitrary number of markers
- integrates over uncertain genealogy of disease chromosomes
- estimates Bayesian posterior probabilities of mutation location, disease allele age, and other
parameters
- uses either haplotype or genotype data (under simple models of disease inheritance)
- allows for multiple marker alleles
- integrates over uncertain allele frequencies in the normal (control) population
- incorporates information from an annotated human genome sequence
- Windows GUI and portable (UNIX) command line versions available
- accomodates either linkage equilibrium or linkage disequilibrium in sample of controls*
- allows slice sampling, uniform selection, or sliding window mechanisms for modifying
mutation location in MCMC*
- mutation age and branch length parameters adjusted separately in MCMC to improve mixing*
- faster algorithms implemented for sampling topologies in MCMC*
- linux version compiled with ICPC, rather than gcc, resulting in substantially faster
execution*
*features new to release 2.2
Next Release (2.3)(late 2005)
- uses either haplotype or genotype data (under complex models of disease inheritance)
- allows for locus and allelic heterogeneity
- allows for marker mutation under simple models (microsatellites)
- takes account of the uncertain relationship between physical and linkage maps
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