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lm_auto
and lm_pval
The MORGAN programs lm_auto
and lm_pval
are
referred to as "Autozyg" programs, as they estimate autozygosity, or
identity by descent (ibd). The Autozyg programs use MCMC to perform
multipoint linkage analysis on large pedigrees where many individuals
may be unobserved and exact computation is infeasible. The data are the
genotypes at marker loci of observed individuals in pedigrees and
affectation status (affected / unaffected / unknown) for the trait of
interest. lm_auto
and lm_pval
estimate conditional
probabilities of gene ibd states, given the trait and marker data.
lm_auto
uses the LM-sampler to realize ibd configurations from
their conditional distribution given the marker data. Given marker data,
it estimates conditional probabilities of genome sharing patterns
(gene ibd) among specified haplotypes, usually from affected individuals.
The marker data are used jointly in the sampling, but the resulting ibd
is scored marginally at each marker locus.
lm_pval
also uses LM-sampling to provide the conditional
distribution of an ibd measure given marker data. In principle it
can be used to provide Monte Carlo estimates of any NPL
(Non-Parametric Linkage) statistics for detecting linkage. Trait
information provided to the program consists of the list of affected
members of the pedigree, provided either as a list of names in the
parameter file or as the phenotypic status in the pedigree file.
The version of the program lm_pval
released in
MORGAN V.2.8 and subsequent, and described in this tutorial,
uses the latent p-value distribution of Thompson & Geyer (2007,
Biometrika).
In lm_pval
, marker data are assumed available on some pedigree
members, at some of the marker loci. The distribution of the ibd
measure conditional on marker data is compared to the unconditional
distribution under the null hypothesis of no linkage to produce
quantiles of a latent (fuzzy) p-value distribution.
A latent p-value distribution
corrected for multiple testing is also produced, by scoring the maximum
of the ibd measure over loci.
Additional programs using latent p-values are under
development, including programs for the distribution of latent lod
scores obtained in MCMC sampling (lm_fuzlod
),
p-values and randomized tests
based on latent lod score statistics (lm_fzplod
),
and randomized confidence sets
for the location of a trait locus (lm_fzconf
). These are working
names only; versions of the programs will be
released under MORGAN 3.
The methods are described in Thompson (2008: JSM 2007 proceedings,
Pp. 3751-3758). The MORGAN 3 program civil
also uses latent p-values
(Di and Thompson, 2009, Human Heredity 68: 139-150).
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