Tag: genomics

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Different pleiotropic scenarios determine joint distribution of human metabolite levels

Adding covariates can either increase or decrease the power of finding an effect of a predictor on the outcome of interest. In a recent publication in GigaScience we used knowledge of biochemical networks to select covariates for conditional genetic association analysis. We demonstrated that the power depends on whether genes and environment play along or […]

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Identification of sixty three multigenic modules involved in susceptibility to inflammatory bowel disease

Inflammatory bowel disease (IBD) is a group of inflammatory conditions of the colon and small intestine. Crohn’s disease (CD) and ulcerative colitis (UC) are the principal types of inflammatory bowel disease.  IBD was virtually unheard of in the early nineteen hundreds. Since then it’s incidence (as well as that of a series of other inflammatory diseases including asthma) has dramatically […]

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https://www.mimomicsucam.com/

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Teaching at the Research MIMOmics Summer School in Cambridge (UK)

From 20 till 27 August, the EU FP7 consortium MIMOmics in which PolyOmica is a partner, organises a Summer School including a Workshop in Omics Studies. The goal of the School is to train a new generation of statistical omics scientists with a biological and biotechnological background to enable them to understand and to apply […]

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The GenABEL Project paper

Recently we published an overview paper of the GenABEL Project [1] on F1000Research. The GenABEL Project is a framework for collaborative, robust, transparent, open-source based development of statistical genomics methodology that PolyOmica sponsors. One of the reasons for publishing this overview paper was that we felt the need for a single, easy-to-point-to reference for the […]

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Better eQTLs for integrative functional genomics? – discussion on SMR/HEIDI

This is a follow-up post to the mini-review of the work of Zhu et al. [1] and is a reaction to tweet from @JosephPowell_UQ 🙂 In short, in Zhu et al. [1] have used eQTL results from peripheral blood to answer the question of potential biological function affected by genetic variation associated with five complex trait. Using such eQTLs may […]

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