Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms

Detalhes bibliográficos
Autor(a) principal: López Soto,Eduardo Javier
Data de Publicação: 2015
Outros Autores: Catanesi,Cecilia Inés
Tipo de documento: Relatório
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572015000200152
Resumo: Several single nucleotide polymorphisms (SNPs) in the Mu Opioid Receptor gene (OPRM1) have been identified and associated with a wide variety of clinical phenotypes related both to pain sensitivity and analgesic requirements. The A118G and other potentially functional OPRM1 SNPs show significant differences in their allele distributions among populations. However, they have not been properly addressed in a population genetic analysis. Population stratification could lead to erroneous conclusions when they are not taken into account in association studies. The aim of our study was to analyze OPRM1 SNP variability by comparing population samples of the International Hap Map database and to analyze a new population sample from the city of Corrientes, Argentina. The results confirm that OPRM1 SNP variability differs among human populations and displays a clear ancestry genetic structure, with three population clusters: Africa, Asia, and Europe-America.
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spelling Human population genetic structure detected by pain-related mu opioid receptor gene polymorphismsOPRM1SNPsA118GAMOVApopulation geneticsSeveral single nucleotide polymorphisms (SNPs) in the Mu Opioid Receptor gene (OPRM1) have been identified and associated with a wide variety of clinical phenotypes related both to pain sensitivity and analgesic requirements. The A118G and other potentially functional OPRM1 SNPs show significant differences in their allele distributions among populations. However, they have not been properly addressed in a population genetic analysis. Population stratification could lead to erroneous conclusions when they are not taken into account in association studies. The aim of our study was to analyze OPRM1 SNP variability by comparing population samples of the International Hap Map database and to analyze a new population sample from the city of Corrientes, Argentina. The results confirm that OPRM1 SNP variability differs among human populations and displays a clear ancestry genetic structure, with three population clusters: Africa, Asia, and Europe-America.Sociedade Brasileira de Genética2015-06-01info:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572015000200152Genetics and Molecular Biology v.38 n.2 2015reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-4757382220140299info:eu-repo/semantics/openAccessLópez Soto,Eduardo JavierCatanesi,Cecilia Inéseng2015-07-31T00:00:00Zoai:scielo:S1415-47572015000200152Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2015-07-31T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
title Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
spellingShingle Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
López Soto,Eduardo Javier
OPRM1
SNPs
A118G
AMOVA
population genetics
title_short Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
title_full Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
title_fullStr Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
title_full_unstemmed Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
title_sort Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms
author López Soto,Eduardo Javier
author_facet López Soto,Eduardo Javier
Catanesi,Cecilia Inés
author_role author
author2 Catanesi,Cecilia Inés
author2_role author
dc.contributor.author.fl_str_mv López Soto,Eduardo Javier
Catanesi,Cecilia Inés
dc.subject.por.fl_str_mv OPRM1
SNPs
A118G
AMOVA
population genetics
topic OPRM1
SNPs
A118G
AMOVA
population genetics
description Several single nucleotide polymorphisms (SNPs) in the Mu Opioid Receptor gene (OPRM1) have been identified and associated with a wide variety of clinical phenotypes related both to pain sensitivity and analgesic requirements. The A118G and other potentially functional OPRM1 SNPs show significant differences in their allele distributions among populations. However, they have not been properly addressed in a population genetic analysis. Population stratification could lead to erroneous conclusions when they are not taken into account in association studies. The aim of our study was to analyze OPRM1 SNP variability by comparing population samples of the International Hap Map database and to analyze a new population sample from the city of Corrientes, Argentina. The results confirm that OPRM1 SNP variability differs among human populations and displays a clear ancestry genetic structure, with three population clusters: Africa, Asia, and Europe-America.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format report
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572015000200152
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572015000200152
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-4757382220140299
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 Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.38 n.2 2015
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
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