A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data
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Details
| Original language | English |
|---|---|
| Article number | 513 |
| Journal | Scientific Reports |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2012 |
| Publication type | A1 Journal article-refereed |
Abstract
In this paper, we present a Bayesian approach to estimate a chromosome and a disorder network from the Online Mendelian Inheritance in Man (OMIM) database. In contrast to other approaches, we obtain statistic rather than deterministic networks enabling a parametric control in the uncertainty of the underlying disorder-disease gene associations contained in the OMIM, on which the networks are based. From a structural investigation of the chromosome network, we identify three chromosome subgroups that reflect architectural differences in chromosome-disorder associations that are predictively exploitable for a functional analysis of diseases.