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Abstract

We introduce new quantitative characteristics of the population using an analogy to the system of multi-spin molecules: the disease fields, which may depend on interactions, and the susceptibility to disease as derivative of genetic vector’s (GV’s) frequency of cases with respect to these fields. The genetic vector’s approach (GVA) is applied to statistical analysis of the interaction of two SNP haplotype of HTR2A and shared epitope (SE) alleles in relation to development of rheumatoid arthritis (RA). The analysis is performed for two independent cohorts, EIRA and NARAC, and based on the evaluation of double- and triple genotype–genotype versus SE alleles correlations. The Gibbs-like parametrization of GV frequencies makes analysis transparent and easy interpretable. We find that the main contribution into association to RA comes from GVs containing double SE. GVA may resolve an opposite role in risk/protection from different pairs of genetic variations and reveal an association to RA whereas the univariate analysis does not show significant association.

 

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January 28th, 2014

You think water moves fast? You should see ice

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August 27th, 2015

Hello world!

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April 30th, 2015

Hello world!

Welcome to WordPress. This is your first post. Edit or delete it, then start blogging!

January 28th, 2014

The hidden benefits of gossip, ostracism

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January 28th, 2014

Rust Belt gentrification and how it hurts the poor

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January 28th, 2014

An old mathematical puzzle soon to be unraveled?

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January 28th, 2014

Making stem cells grow human hair

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January 28th, 2014

Study analyzes content of nightmares and bad dreams

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January 28th, 2014

Just another blog post

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January 28th, 2014

Astronomy podcast for kids

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