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, 10:38, 11 March 2014
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| 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: | | 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: |
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− | <math>\mathbf{y}=\mathbf{X}\beta +\mathbf{g}+ \boldsymbol{\varepsilon}</math> | + | <math>\mathbf{y}=\mathbf{X}\beta +\mathbf{g}+ \boldsymbol{\varepsilon}</math> |
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| == Single Variant Score Tests == | | == Single Variant Score Tests == |