Assessment of SNP-SNP interactions by using square contingency table analysis

Detalhes bibliográficos
Autor(a) principal: KARADAĞ,ÖZGE
Data de Publicação: 2020
Outros Autores: ALTUN,GÖKÇEN, AKTAŞ,SERPIL
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000500302
Resumo: Abstract The evolution of SNP-SNP interactions has become an interesting field in genetic epidemiology. Most of the studies, aimed to analyze the relationship between genetic factors and disease of interest, are focused on single SNP associations. However, for quantitative traits, influenced by the interplay of environmental and more than one genetic factors, interaction between the multi factors should be taken into consideration. In this study, symmetry models for square contingency tables are applied to the cross-classified SNP-SNP interactions data. Results from a genome-wide association analysis of blood pressure are used as a prior evidence for the interacted SNPs.
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spelling Assessment of SNP-SNP interactions by using square contingency table analysiscomplete symmetrymarginal homogeneityquasi-symmetrySNP-SNP interaction analysissquare contingency tablesAbstract The evolution of SNP-SNP interactions has become an interesting field in genetic epidemiology. Most of the studies, aimed to analyze the relationship between genetic factors and disease of interest, are focused on single SNP associations. However, for quantitative traits, influenced by the interplay of environmental and more than one genetic factors, interaction between the multi factors should be taken into consideration. In this study, symmetry models for square contingency tables are applied to the cross-classified SNP-SNP interactions data. Results from a genome-wide association analysis of blood pressure are used as a prior evidence for the interacted SNPs.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000500302Anais da Academia Brasileira de Ciências v.92 n.3 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020190465info:eu-repo/semantics/openAccessKARADAĞ,ÖZGEALTUN,GÖKÇENAKTAŞ,SERPILeng2020-11-25T00:00:00Zoai:scielo:S0001-37652020000500302Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-11-25T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Assessment of SNP-SNP interactions by using square contingency table analysis
title Assessment of SNP-SNP interactions by using square contingency table analysis
spellingShingle Assessment of SNP-SNP interactions by using square contingency table analysis
KARADAĞ,ÖZGE
complete symmetry
marginal homogeneity
quasi-symmetry
SNP-SNP interaction analysis
square contingency tables
title_short Assessment of SNP-SNP interactions by using square contingency table analysis
title_full Assessment of SNP-SNP interactions by using square contingency table analysis
title_fullStr Assessment of SNP-SNP interactions by using square contingency table analysis
title_full_unstemmed Assessment of SNP-SNP interactions by using square contingency table analysis
title_sort Assessment of SNP-SNP interactions by using square contingency table analysis
author KARADAĞ,ÖZGE
author_facet KARADAĞ,ÖZGE
ALTUN,GÖKÇEN
AKTAŞ,SERPIL
author_role author
author2 ALTUN,GÖKÇEN
AKTAŞ,SERPIL
author2_role author
author
dc.contributor.author.fl_str_mv KARADAĞ,ÖZGE
ALTUN,GÖKÇEN
AKTAŞ,SERPIL
dc.subject.por.fl_str_mv complete symmetry
marginal homogeneity
quasi-symmetry
SNP-SNP interaction analysis
square contingency tables
topic complete symmetry
marginal homogeneity
quasi-symmetry
SNP-SNP interaction analysis
square contingency tables
description Abstract The evolution of SNP-SNP interactions has become an interesting field in genetic epidemiology. Most of the studies, aimed to analyze the relationship between genetic factors and disease of interest, are focused on single SNP associations. However, for quantitative traits, influenced by the interplay of environmental and more than one genetic factors, interaction between the multi factors should be taken into consideration. In this study, symmetry models for square contingency tables are applied to the cross-classified SNP-SNP interactions data. Results from a genome-wide association analysis of blood pressure are used as a prior evidence for the interacted SNPs.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000500302
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000500302
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202020190465
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.92 n.3 2020
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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