Difference between revisions of "RAREMETALWORKER METHOD"
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== Modeling Relatedness == | == Modeling Relatedness == | ||
| − | we use a variance component model to handle familial relationships. | + | we use a variance component model to handle familial relationships.In a sample of n individuals, we model the observed phenotype vector (y) as a sum of covariate effects (specified by a design matrix X and a vector of covariate effects β), additive genetic effects (modeled in vector g) and non-shared environmental effects (modeled in vector ε). Thus: |
| + | y=xβ+g+ε | ||
== Single Variant Score Tests == | == Single Variant Score Tests == | ||
Revision as of 13:46, 10 March 2014
Brief Introduction
RAREMETALWORKER(RMW) generates single variant association results from score test, together with summary statistics and covariance matrices of the score statistics.
In the following sections, we will go through the methods behind RWM including statistic model, handling sample relatedness, and definitions of statistics in the output.
Modeling Relatedness
we use a variance component model to handle familial relationships.In a sample of n individuals, we model the observed phenotype vector (y) as a sum of covariate effects (specified by a design matrix X and a vector of covariate effects β), additive genetic effects (modeled in vector g) and non-shared environmental effects (modeled in vector ε). Thus:
y=xβ+g+ε
