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dc.contributor.author
López Soto, Eduardo Javier  
dc.contributor.author
Catanesi, Cecilia Ines  
dc.date.available
2018-07-30T20:35:18Z  
dc.date.issued
2015-06  
dc.identifier.citation
López Soto, Eduardo Javier; Catanesi, Cecilia Ines; Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms; Sociedade Brasileira de Genética; Genetics and Molecular Biology; 38; 2; 6-2015; 152-155  
dc.identifier.issn
1415-4757  
dc.identifier.uri
http://hdl.handle.net/11336/53492  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Sociedade Brasileira de Genética  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc/2.5/ar/  
dc.subject
A118g  
dc.subject
Amova  
dc.subject
Oprm1  
dc.subject
Population Genetics  
dc.subject
Snps  
dc.subject.classification
Otras Ciencias Biológicas  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Human population genetic structure detected by pain-related mu opioid receptor gene polymorphisms  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-07-30T13:36:49Z  
dc.identifier.eissn
1678-4685  
dc.journal.volume
38  
dc.journal.number
2  
dc.journal.pagination
152-155  
dc.journal.pais
Brasil  
dc.journal.ciudad
Ribeirão Preto  
dc.description.fil
Fil: López Soto, Eduardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; Argentina  
dc.description.fil
Fil: Catanesi, Cecilia Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de Biología Celular; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; Argentina  
dc.journal.title
Genetics and Molecular Biology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530646/pdf/1415-4757-gmb-38-2-152.pdf  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1590/S1415-4757382220140299  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ref.scielo.org/95cwcy