A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data

Frank Emmert-Streib, Ricardo de Matos Simoes, Shailesh Tripathi, Galina V Glazko, Matthias Dehmer

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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.
Original languageEnglish
Article number513
Number of pages13
JournalNature Scientific Reports
Volume2
DOIs
Publication statusPublished - 20 Jul 2012

ASJC Scopus subject areas

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