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Authors: Joanna Zyla 1 ; Christophe Badie 2 ; Ghazi Alsbeih 3 and Joanna Polanska 1

Affiliations: 1 Faculty of Automatic Control, Electronic and Computer Science and Silesian University of Technology, Poland ; 2 Centre for Radiation, Chemical and Environmental Hazards and Public Health England, United Kingdom ; 3 King Faisal Specialist Hospital & Research Centre, Saudi Arabia

ISBN: 978-989-758-012-3

Keyword(s): GWAS, Radiosensitivity, Polymorphism, Data Mining.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Biostatistics and Stochastic Models ; Genomics and Proteomics

Abstract: The aim of this work is to present the complete methodology useful in GWAS analysis with small sample size, where comprehension of interaction between the genotype and phenotype is a main issue. By including all possible models of interaction into the process of model building, we were able to significantly increase the number of candidate polymorphisms and decrease the false discovery ratio.

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Paper citation in several formats:
Zyla, J.; Badie, C.; Alsbeih, G. and Polanska, J. (2014). Modelling of Genetic Interactions in GWAS Reveals More Complex Relations between Genotype and Phenotype.In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014) ISBN 978-989-758-012-3, pages 204-208. DOI: 10.5220/0004807402040208

@conference{bioinformatics14,
author={Joanna Zyla. and Christophe Badie. and Ghazi Alsbeih. and Joanna Polanska.},
title={Modelling of Genetic Interactions in GWAS Reveals More Complex Relations between Genotype and Phenotype},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)},
year={2014},
pages={204-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004807402040208},
isbn={978-989-758-012-3},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)
TI - Modelling of Genetic Interactions in GWAS Reveals More Complex Relations between Genotype and Phenotype
SN - 978-989-758-012-3
AU - Zyla, J.
AU - Badie, C.
AU - Alsbeih, G.
AU - Polanska, J.
PY - 2014
SP - 204
EP - 208
DO - 10.5220/0004807402040208

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