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GEIRA: gene-environment and gene–gene interaction research application

The GEIRA (Gene-Environment and Gene–Gene Interaction Research Application) algorithm and subsequent program is dedicated to genome-wide gene-environment and gene–gene interaction analysis. It implements concepts of both additive and multiplicative interaction as well as calculations based on domina...

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Autores principales: Ding, Bo, Källberg, Henrik, Klareskog, Lars, Padyukov, Leonid, Alfredsson, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3143319/
https://www.ncbi.nlm.nih.gov/pubmed/21519893
http://dx.doi.org/10.1007/s10654-011-9582-5
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author Ding, Bo
Källberg, Henrik
Klareskog, Lars
Padyukov, Leonid
Alfredsson, Lars
author_facet Ding, Bo
Källberg, Henrik
Klareskog, Lars
Padyukov, Leonid
Alfredsson, Lars
author_sort Ding, Bo
collection PubMed
description The GEIRA (Gene-Environment and Gene–Gene Interaction Research Application) algorithm and subsequent program is dedicated to genome-wide gene-environment and gene–gene interaction analysis. It implements concepts of both additive and multiplicative interaction as well as calculations based on dominant, recessive and co-dominant genetic models, respectively. Estimates of interactions are incorporated in a single table to make the output easily read. The algorithm is coded in both SAS and R. GEIRA is freely available to non-commercial users at http://www.epinet.se. Additional information, including user’s manual and example datasets is available online at http://www.epinet.se.
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spelling pubmed-31433192011-09-08 GEIRA: gene-environment and gene–gene interaction research application Ding, Bo Källberg, Henrik Klareskog, Lars Padyukov, Leonid Alfredsson, Lars Eur J Epidemiol Genetic Epidemiology The GEIRA (Gene-Environment and Gene–Gene Interaction Research Application) algorithm and subsequent program is dedicated to genome-wide gene-environment and gene–gene interaction analysis. It implements concepts of both additive and multiplicative interaction as well as calculations based on dominant, recessive and co-dominant genetic models, respectively. Estimates of interactions are incorporated in a single table to make the output easily read. The algorithm is coded in both SAS and R. GEIRA is freely available to non-commercial users at http://www.epinet.se. Additional information, including user’s manual and example datasets is available online at http://www.epinet.se. Springer Netherlands 2011-04-26 2011 /pmc/articles/PMC3143319/ /pubmed/21519893 http://dx.doi.org/10.1007/s10654-011-9582-5 Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Genetic Epidemiology
Ding, Bo
Källberg, Henrik
Klareskog, Lars
Padyukov, Leonid
Alfredsson, Lars
GEIRA: gene-environment and gene–gene interaction research application
title GEIRA: gene-environment and gene–gene interaction research application
title_full GEIRA: gene-environment and gene–gene interaction research application
title_fullStr GEIRA: gene-environment and gene–gene interaction research application
title_full_unstemmed GEIRA: gene-environment and gene–gene interaction research application
title_short GEIRA: gene-environment and gene–gene interaction research application
title_sort geira: gene-environment and gene–gene interaction research application
topic Genetic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3143319/
https://www.ncbi.nlm.nih.gov/pubmed/21519893
http://dx.doi.org/10.1007/s10654-011-9582-5
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