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QTDT - Association Models
A model for association may be selected with the -a option.
Available choices are:
Option |
Description |
-af |
Fulker Model. Uses siblings to construct a control, and
does not require parental genotypes. It should be used in a variance
components frame-work. |
-ao |
Orthogonal Model. This is the Abecasis et al generalization
of the Fulker model, allowing for families of any size (with
or without parental genotypes). It should be used in a variance
components framework. In extended families, a novel scheme
for scoring transmission using all available information is used
by default (Abecasis
2000b). |
-ap |
Population Stratification. Evaluate the evidence for population
stratification by comparing the between and within family components
of association.(This is a variant of the Orthogonal Model) |
-aw |
Within family component only. Consider only the within
family component of association. |
-at |
Total Association. This evaluates the total evidence for
association and is not a TDT. It can produce misleading results
in the presence of population stratification. |
-ad |
Discrete Trait. This is a general pedigree version of
the TDT described by Abecasis
et al (2000b). The test evaluates whether an allele is transmitted
to affected individuals more often than expected by chance. |
-aa |
Allison's Linear Model [TDTQ5]. This model uses parental
mating types to account for stratification. It is appropriate
for the analysis of single offspring-parent triads. |
-ar |
Rabinowitz Model. This is a simple model that produces
a sturdy T-test for association. It is also appropriate for families
with a single offspring but does not allow for dominance. |
-am |
Monks Model. This variant of the Rabinowitz model introduces
a simple weighing scheme that provides a conservative test of
association in families with multiple offspring. (uses parental
genotypes if available) |
-a- |
Do not model association. Useful when evaluating components
of variance, for example to estimate an heritability. |
A genetic dominance parameter can be included in the analysis
by specifying the -g+ option. For example, to specify the
Allison model should be used and that dominance should be modelled
run the command:
prompt> qtdt -aa -g+
In linear models, it is often desirable to include covariates
that are known to account for some of the variation in the trait.
By default QTDT includes all covariates listed in the pedigree
file in the analysis, but this behaviour may be modified with
the covariate -c option.
Option |
Description |
-cs |
Sex Covariate. Include sex as a covariate. |
-cu |
User Defined Covariates. Include all user-defined covariates
listed in the pedigree and data files. |
-cp |
Parental Phenotypes. Include parental phenotypes as covariates. |
These options may be combined, for example -cps includes
both parental phenotypes and sex as covariates, but ignores user-define
covariates.
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