Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype

Joanna Zyla; Christophe Badie; Ghazi Alsbeih; Joanna Polanska

doi:10.5220/0004807402040208

Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype

Joanna Zyla, Christophe Badie, Ghazi Alsbeih, Joanna Polanska

Radiation Effects

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
Publisher	SciTePress
Pages	204-208
Number of pages	5
ISBN (Print)	9789897580123
DOIs	https://doi.org/10.5220/0004807402040208
Publication status	Published - 2014
Event	5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, Loire Valley, France Duration: 3 Mar 2014 → 6 Mar 2014

Publication series

Name	BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014

Conference

Conference	5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
Country/Territory	France
City	Angers, Loire Valley
Period	3/03/14 → 6/03/14

Keywords

Data Mining
GWAS
Polymorphism
Radiosensitivity

Access to Document

10.5220/0004807402040208

Cite this

Zyla, J., Badie, C., Alsbeih, G., & Polanska, J. (2014). Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype. In BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 (pp. 204-208). (BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014). SciTePress. https://doi.org/10.5220/0004807402040208

Zyla, Joanna ; Badie, Christophe ; Alsbeih, Ghazi et al. / Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype. BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014. SciTePress, 2014. pp. 204-208 (BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014).

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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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author = "Joanna Zyla and Christophe Badie and Ghazi Alsbeih and Joanna Polanska",

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booktitle = "BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014",

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Zyla, J, Badie, C, Alsbeih, G & Polanska, J 2014, Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype. in BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014. BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, SciTePress, pp. 204-208, 5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, Angers, Loire Valley, France, 3/03/14. https://doi.org/10.5220/0004807402040208

Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype. / Zyla, Joanna; Badie, Christophe; Alsbeih, Ghazi et al.
BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014. SciTePress, 2014. p. 204-208 (BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype

AU - Zyla, Joanna

AU - Badie, Christophe

AU - Alsbeih, Ghazi

AU - Polanska, Joanna

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Data Mining

KW - GWAS

KW - Polymorphism

KW - Radiosensitivity

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DO - 10.5220/0004807402040208

M3 - Conference contribution

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PB - SciTePress

T2 - 5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014

Y2 - 3 March 2014 through 6 March 2014

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Zyla J, Badie C, Alsbeih G, Polanska J. Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype. In BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014. SciTePress. 2014. p. 204-208. (BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014). doi: 10.5220/0004807402040208

Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype

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