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

Katedra Inżynierii i Analizy Eksploracyjnej Danych (RAU/RAU4)

Centre for Radiation, Chemical and Environmental Hazards
Research Centre

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3 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	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
Wydawca	SciTePress
Strony	204-208
Liczba stron	5
ISBN (drukowany)	9789897580123
Identyfikatory DOI	https://doi.org/10.5220/0004807402040208
Status publikacji	Opublikowano - 2014
Wydarzenie	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, Francja Czas trwania: 3 mar 2014 → 6 mar 2014

Seria publikacji

Nazwa	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

Konferencja

Konferencja	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
Kraj/Terytorium	Francja
Miejscowość	Angers, Loire Valley
Okres	3/03/14 → 6/03/14

Obszary tematyczne ASJC Scopus

Inżynieria biomedyczna
Modelowanie i symulacja

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10.5220/0004807402040208

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Link do publikacji w Scopus

Cytowanie

Zyla, J., Badie, C., Alsbeih, G., & Polanska, J. (2014). Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype. W 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 (str. 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 i in. / 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. str. 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).

@inproceedings{c991b89face141ff990519ccec98f7ac,

title = "Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype",

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.",

keywords = "Data Mining, GWAS, Polymorphism, Radiosensitivity",

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

year = "2014",

doi = "10.5220/0004807402040208",

language = "English",

isbn = "9789897580123",

series = "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",

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",

note = "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 ; Conference date: 03-03-2014 Through 06-03-2014",

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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. w 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, str. 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, Francja, 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 i 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. str. 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).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

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

UR - https://www.scopus.com/pages/publications/84902320983

U2 - 10.5220/0004807402040208

DO - 10.5220/0004807402040208

M3 - Conference contribution

AN - SCOPUS:84902320983

SN - 9789897580123

T3 - 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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BT - 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

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

ER -

Zyla J, Badie C, Alsbeih G, Polanska J. Modelling of genetic interactions in GWAS reveals more complex relations between genotype and phenotype. W 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. str. 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

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

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