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, 13:57, 10 March 2014
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| == Modeling Relatedness == | | == 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: | | 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: |
− | <math>y = X \Beta</math> | + | <math>y = X \boldsymbol{\Omega_{ij}}</math> |
| | | |
| == Single Variant Score Tests == | | == Single Variant Score Tests == |