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The polygenic component is approximated by the hypergeometric polygenic model [ 28].
The polygenic component was approximated by the hypergeometric polygenic model (Antoniou et al, 2001; Lange, 2002).
The polygenic component was approximated by the hypergeometric polygenic model (Fernando et al, 1994; Lange, 1997; Antoniou et al, 2001).
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The hypergeometric polygenic model was used to approximate polygenic inheritance and the effect of risk modifiers.
The Hypergeometric Polygenic Model is equivalent to a fully additive polygenic trait, with no dominance or epistatic variance (Lange, 1997b).
The Hypergeometric Polygenic Model (HPM) (Lange, 1997a, b) was used to approximate the polygenic and modifying components, where P was approximated by R has a binomial distribution (2 N, ½) according to the HPM and N is the number of loci used in the HPM, which was set equal to 3 in our analyses.
The polygenic part of this model was implemented via a hypergeometric polygenic model with four loci [ 30] and postulates a normally distributed random variable G for each person so that these variables are correlated within families (see section 8.9 of Lange et al. [ 31]).
Equation (27) is a differential equation satisfied by the hypergeometric function.
GOTM reports only those enrichments that are statistically significant as determined by the hypergeometric test.
Each P value is computed by the hypergeometric test.
This probability is given by the hypergeometric distribution function.
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