Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder

ABSTRACT:Bipolar disorder (BD) is a common, highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. Lithium is the best-established long-term treatment for BD, even though individual response is highly variable. Evidence suggests that some of this varia...

Full description

Autores:
Reinbold, Céline S
Forstner, Andreas
Hecker, Julian
Fullerton, Janice M.
Hoffmann, Per
Hou, Liping
Heilbronner, Urs
Degenhardt, Franziska
Adli, Mazda
Akiyama, Kazufumi
Akula, Nirmala
Ardau, Raffaella
Arias, Bárbara
Backlund, Lena
López Jaramillo, Carlos Alberto
Tipo de recurso:
Article of investigation
Fecha de publicación:
2018
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/23074
Acceso en línea:
http://hdl.handle.net/10495/23074
Palabra clave:
Trastorno Bipolar
Bipolar Disorder
MicroARNs
MicroRNAs
Litio
Lithium
genome-wide association stud
Rights
openAccess
License
http://creativecommons.org/licenses/by/2.5/co/
id UDEA2_5fd1e89a063a1943463e941d2993391a
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/23074
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
title Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
spellingShingle Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
Trastorno Bipolar
Bipolar Disorder
MicroARNs
MicroRNAs
Litio
Lithium
genome-wide association stud
title_short Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
title_full Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
title_fullStr Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
title_full_unstemmed Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
title_sort Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
dc.creator.fl_str_mv Reinbold, Céline S
Forstner, Andreas
Hecker, Julian
Fullerton, Janice M.
Hoffmann, Per
Hou, Liping
Heilbronner, Urs
Degenhardt, Franziska
Adli, Mazda
Akiyama, Kazufumi
Akula, Nirmala
Ardau, Raffaella
Arias, Bárbara
Backlund, Lena
López Jaramillo, Carlos Alberto
dc.contributor.author.none.fl_str_mv Reinbold, Céline S
Forstner, Andreas
Hecker, Julian
Fullerton, Janice M.
Hoffmann, Per
Hou, Liping
Heilbronner, Urs
Degenhardt, Franziska
Adli, Mazda
Akiyama, Kazufumi
Akula, Nirmala
Ardau, Raffaella
Arias, Bárbara
Backlund, Lena
López Jaramillo, Carlos Alberto
dc.subject.decs.none.fl_str_mv Trastorno Bipolar
Bipolar Disorder
MicroARNs
MicroRNAs
Litio
Lithium
topic Trastorno Bipolar
Bipolar Disorder
MicroARNs
MicroRNAs
Litio
Lithium
genome-wide association stud
dc.subject.proposal.spa.fl_str_mv genome-wide association stud
description ABSTRACT:Bipolar disorder (BD) is a common, highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. Lithium is the best-established long-term treatment for BD, even though individual response is highly variable. Evidence suggests that some of this variability has a genetic basis. This is supported by the largest genome-wide association study (GWAS) of lithium response to date conducted by the International Consortium on Lithium Genetics (ConLiGen). Recently, we performed the first genome-wide analysis of the involvement of miRNAs in BD and identified nine BD-associated miRNAs. However, it is unknown whether these miRNAs are also associated with lithium response in BD. In the present study, we therefore tested whether common variants at these nine candidate miRNAs contribute to the variance in lithium response in BD. Furthermore, we systematically analyzed whether any other miRNA in the genome is implicated in the response to lithium. For this purpose, we performed gene-based tests for all known miRNA coding genes in the ConLiGenGWAS dataset (n = 2,563 patients) using a set-based testing approach adapted from the versatile gene-based test for GWAS (VEGAS2). In the candidate approach, miR-499a showed a nominally significant association with lithium response, providing some evidence for involvement in both development and treatment of BD. In the genomewide miRNA analysis, 71 miRNAs showed nominally significant associations with the dichotomous phenotype and 106 with the continuous trait for treatment response. A total of 15 miRNAs revealed nominal significance in both phenotypes with miR-633 showing the strongest association with the continuous trait (p = 9.80E-04) and miR-607 with the dichotomous phenotype (p = 5.79E-04). No association between miRNAs and treatment response to lithium in BD in either of the tested conditions withstood multiple testing correction. Given the limited power of our study, the investigation of miRNAs in larger GWAS samples of BD and lithium response is warranted.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2021-10-10T02:04:39Z
dc.date.available.none.fl_str_mv 2021-10-10T02:04:39Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/ART
dc.type.local.spa.fl_str_mv Artículo de investigación
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status_str publishedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/23074
dc.identifier.doi.none.fl_str_mv 10.3389/fpsyt.2018.00207
dc.identifier.eissn.none.fl_str_mv 1664-0640
url http://hdl.handle.net/10495/23074
identifier_str_mv 10.3389/fpsyt.2018.00207
1664-0640
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Front. Psychiatry.
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/2.5/co/
dc.rights.accessrights.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.spa.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/co/
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dc.format.extent.spa.fl_str_mv 9
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Frontiers Research Foundation
dc.publisher.group.spa.fl_str_mv Grupo de Investigación en Psiquiatría GIPSI
dc.publisher.place.spa.fl_str_mv Lausana, Suiza
institution Universidad de Antioquia
bitstream.url.fl_str_mv http://bibliotecadigital.udea.edu.co/bitstream/10495/23074/1/CarlosLopezr_2018_MicroRNAsLithiumBipolar.pdf
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spelling Reinbold, Céline SForstner, AndreasHecker, JulianFullerton, Janice M.Hoffmann, PerHou, LipingHeilbronner, UrsDegenhardt, FranziskaAdli, MazdaAkiyama, KazufumiAkula, NirmalaArdau, RaffaellaArias, BárbaraBacklund, LenaLópez Jaramillo, Carlos Alberto2021-10-10T02:04:39Z2021-10-10T02:04:39Z2018http://hdl.handle.net/10495/2307410.3389/fpsyt.2018.002071664-0640ABSTRACT:Bipolar disorder (BD) is a common, highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. Lithium is the best-established long-term treatment for BD, even though individual response is highly variable. Evidence suggests that some of this variability has a genetic basis. This is supported by the largest genome-wide association study (GWAS) of lithium response to date conducted by the International Consortium on Lithium Genetics (ConLiGen). Recently, we performed the first genome-wide analysis of the involvement of miRNAs in BD and identified nine BD-associated miRNAs. However, it is unknown whether these miRNAs are also associated with lithium response in BD. In the present study, we therefore tested whether common variants at these nine candidate miRNAs contribute to the variance in lithium response in BD. Furthermore, we systematically analyzed whether any other miRNA in the genome is implicated in the response to lithium. For this purpose, we performed gene-based tests for all known miRNA coding genes in the ConLiGenGWAS dataset (n = 2,563 patients) using a set-based testing approach adapted from the versatile gene-based test for GWAS (VEGAS2). In the candidate approach, miR-499a showed a nominally significant association with lithium response, providing some evidence for involvement in both development and treatment of BD. In the genomewide miRNA analysis, 71 miRNAs showed nominally significant associations with the dichotomous phenotype and 106 with the continuous trait for treatment response. A total of 15 miRNAs revealed nominal significance in both phenotypes with miR-633 showing the strongest association with the continuous trait (p = 9.80E-04) and miR-607 with the dichotomous phenotype (p = 5.79E-04). No association between miRNAs and treatment response to lithium in BD in either of the tested conditions withstood multiple testing correction. Given the limited power of our study, the investigation of miRNAs in larger GWAS samples of BD and lithium response is warranted.COL00291479application/pdfengFrontiers Research FoundationGrupo de Investigación en Psiquiatría GIPSILausana, Suizainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/Analysis of the Influence of microRNAs in Lithium Response in Bipolar DisorderTrastorno BipolarBipolar DisorderMicroARNsMicroRNAsLitioLithiumgenome-wide association studFront. Psychiatry.Frontiers in Psychiatry199ORIGINALCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdfCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdfArtículo de investigaciónapplication/pdf398878http://bibliotecadigital.udea.edu.co/bitstream/10495/23074/1/CarlosLopezr_2018_MicroRNAsLithiumBipolar.pdf90831ec68e39883ed422533c9c2b2730MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927http://bibliotecadigital.udea.edu.co/bitstream/10495/23074/2/license_rdf1646d1f6b96dbbbc38035efc9239ac9cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/23074/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/23074oai:bibliotecadigital.udea.edu.co:10495/230742021-10-09 21:04:40.074Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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