Show simple item record

dc.creatorPeterson, Christine B.
dc.creatorService, Susan K.
dc.creatorJasinska, Anna J.
dc.creatorGao, Fuying
dc.creatorZelaya, Ivette
dc.creatorTeshiba, Terri M.
dc.creatorBearden, Carrie E.
dc.creatorCantor, Rita M.
dc.creatorReus, Victor I.
dc.creatorMacaya Trejos, Gabriel
dc.creatorLópez Jaramillo, Carlos
dc.creatorBogomolov, Marina
dc.creatorBenjamini, Yoav
dc.creatorEskin, Eleazar
dc.creatorCoppola, Giovanni
dc.creatorFreimer, Nelson B.
dc.creatorSabatti, Chiara
dc.date.accessioned2017-07-27T14:37:19Z
dc.date.available2017-07-27T14:37:19Z
dc.date.issued2016-05-13
dc.identifier.citationhttp://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1006046es_ES
dc.identifier.issn1553-7390
dc.identifier.issn1553-7404
dc.identifier.otherPMC4866754
dc.identifier.urihttp://hdl.handle.net/10669/30398
dc.description.abstractThe observation that variants regulating gene expression (expression quantitative trait loci, eQTL) are at a high frequency among SNPs associated with complex traits has made the genome-wide characterization of gene expression an important tool in genetic mapping studies of such traits. As part of a study to identify genetic loci contributing to bipolar disorder and other quantitative traits in members of 26 pedigrees from Costa Rica and Colombia, we measured gene expression in lymphoblastoid cell lines derived from 786 pedigree members. The study design enabled us to comprehensively reconstruct the genetic regulatory network in these families, provide estimates of heritability, identify eQTL, evaluate missing heritability for the eQTL, and quantify the number of different alleles contributing to any given locus. In the eQTL analysis, we utilize a recently proposed hierarchical multiple testing strategy which controls error rates regarding the discovery of functional variants. Our results elucidate the heritability and regulation of gene expression in this unique Latin American study population and identify a set of regulatory SNPs which may be relevant in future investigations of complex disease in this population. Since our subjects belong to extended families, we are able to compare traditional kinship-based estimates with those from more recent methods that depend only on genotype information.es_ES
dc.description.sponsorshipNational Institutes for Health/[R01 HG006695]/NIH/Estados Unidoses_ES
dc.description.sponsorshipNational Institutes for Health/[R01 MH101782]/NIH/Estados Unidoses_ES
dc.description.sponsorshipNational Institutes for Health/[R01 MH075007]/NIH/Estados Unidoses_ES
dc.description.sponsorshipIsrael Science Foundation/[1112/14]/ISF/Israeles_ES
dc.language.isoen_USes_ES
dc.rightsAtribución 3.0 Costa Rica*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/cr/*
dc.sourcePLOS Genetics. Vol. 12, Núm. 5, 2016.es_ES
dc.subjectHeredityes_ES
dc.subjectGeneticses_ES
dc.subjectBipolar Disorderes_ES
dc.subjectExpression QuantitativeTrait Locies_ES
dc.titleCharacterization of Expression Quantitative Trait Loci in Pedigrees from Colombia and Costa Rica Ascertained for Bipolar Disorderes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.typeArtículo científicoes_ES
dc.identifier.doi10.1371/journal.pgen.1006046
dc.description.procedenceUCR::Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigación en Biología Celular y Molecular (CIBCM)es_ES
dc.identifier.pmid27176483


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Atribución 3.0 Costa Rica
Except where otherwise noted, this item's license is described as Atribución 3.0 Costa Rica