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

doi:10.1038/srep00513

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

Research output: Contribution to journal › Article › peer-review

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 language	English
Article number	513
Pages (from-to)	513
Journal	Scientific Reports
Volume	2
DOIs	https://doi.org/10.1038/srep00513
Publication status	Published - 2012
Externally published	Yes

Keywords

Algorithms
Bayes Theorem
Chromosome Disorders/genetics
Computational Biology/methods
Databases, Genetic
Genetic Association Studies
Humans
Internet
Lod Score
Male
Models, Statistical
Molecular Sequence Annotation
Open Reading Frames
Physical Chromosome Mapping

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10.1038/srep00513

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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.",

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AU - Tripathi, Shailesh

AU - Glazko, Galina V.

AU - Dehmer, Matthias

PY - 2012

Y1 - 2012

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AB - 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.

KW - Algorithms

KW - Bayes Theorem

KW - Chromosome Disorders/genetics

KW - Computational Biology/methods

KW - Databases, Genetic

KW - Genetic Association Studies

KW - Humans

KW - Internet

KW - Lod Score

KW - Male

KW - Models, Statistical

KW - Molecular Sequence Annotation

KW - Open Reading Frames

KW - Physical Chromosome Mapping

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ER -

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

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Keywords

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