Research
Multi-locus models of genetic risk of disease
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* Corresponding author: Naomi R Wray naomi.wray@qimr.edu.au
1 Genetic Epidemiology and, Queensland Institute of Medical Research, Herston Road, Brisbane, Queensland 4006, Australia
2 Faculty of Land and Food Resources, University of Melbourne, Royal Parade, 3010 and Department of Primary Industries, Research Avenue, 3086, Melbourne, Victoria, Australia
Genome Medicine 2010, 2:10 doi:10.1186/gm131
Published: 2 February 2010Additional files
Additional file 1:
A detailed description of simulations. A detailed description of simulations.
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Additional file 2:
A table showing broad sense heritabilities on the disease risk scale. A table showing broad sense heritabilities on the disease risk scale, 
(Equation 2), for different combinations of disease prevalence, K, number of risk loci, n, risk allele frequency, p, heritability on the liability scale, 
, and risk of a single risk allele compared to the non-risk allele, τ.
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Additional file 3:
Figure showing the relationship between 
and 
for the CRisch. A figure showing the relationship between and for the CRisch, Odds and Probit models and different disease prevalences (K).
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Additional file 4:
A PDF document providing variance components on the risk scale using the unconstrained risk model. A PDF document providing variance components on the risk scale using the unconstrained risk model. Uses the mathematical tractability of the unconstrained Risch model to examine the contribution of each risk allele to genetic variance on the risk scale.
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