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...
- 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/
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| 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.contributor.researchgroup.spa.fl_str_mv |
Grupo de Investigación en Psiquiatría GIPSI |
| 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 |
Artículo de investigación |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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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. |
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9 |
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1 |
| dc.relation.citationvolume.spa.fl_str_mv |
9 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Frontiers in Psychiatry |
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http://creativecommons.org/licenses/by/2.5/co/ |
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https://creativecommons.org/licenses/by/4.0/ |
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Frontiers Research Foundation |
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Lausana, Suiza |
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Reinbold, Céline SForstner, AndreasHecker, JulianFullerton, Janice M.Hoffmann, PerHou, LipingHeilbronner, UrsDegenhardt, FranziskaAdli, MazdaAkiyama, KazufumiAkula, NirmalaArdau, RaffaellaArias, BárbaraBacklund, LenaLópez Jaramillo, Carlos AlbertoGrupo de Investigación en Psiquiatría GIPSI2021-10-10T02:04:39Z2021-10-10T02:04:39Z2018http://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 FoundationLausana, Suizahttp://creativecommons.org/licenses/by/2.5/co/https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Analysis of the Influence of microRNAs in Lithium Response in Bipolar DisorderArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTrastorno BipolarBipolar DisorderMicroARNsMicroRNAsLitioLithiumgenome-wide association studFront. Psychiatry.919Frontiers in PsychiatryPublicationORIGINALCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdfCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdfArtículo de investigaciónapplication/pdf398878https://bibliotecadigital.udea.edu.co/bitstreams/4fe4bbef-35a9-4f02-ba7e-3092798973dc/download90831ec68e39883ed422533c9c2b2730MD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927https://bibliotecadigital.udea.edu.co/bitstreams/60b27e80-8213-4823-bc10-0cc643b393a3/download1646d1f6b96dbbbc38035efc9239ac9cMD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/2d308a29-590b-4d96-b714-d39af2933d5a/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADTEXTCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdf.txtCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdf.txtExtracted texttext/plain59399https://bibliotecadigital.udea.edu.co/bitstreams/8de3ac76-8256-4fb2-9b6f-3c839c3f8483/download3a668fc0603dd162f062fc8f2d20cc80MD54falseAnonymousREADTHUMBNAILCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdf.jpgCarlosLopezr_2018_MicroRNAsLithiumBipolar.pdf.jpgGenerated Thumbnailimage/jpeg16150https://bibliotecadigital.udea.edu.co/bitstreams/54b8fa69-ff62-4b94-83ed-60d992dee9a4/download58eac26724841520e0b7fa92cac1e5d3MD55falseAnonymousREAD10495/23074oai:bibliotecadigital.udea.edu.co:10495/230742025-03-26 22:00:08.496http://creativecommons.org/licenses/by/2.5/co/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
