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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F18%3A43919393" target="_blank" >RIV/00023752:_____/18:43919393 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.frontiersin.org/articles/10.3389/fpsyt.2018.00207/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fpsyt.2018.00207/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fpsyt.2018.00207" target="_blank" >10.3389/fpsyt.2018.00207</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 ConLiGen GWAS 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 genome-wide 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. Analysis of the Influence of microRNAs in... (PDF Download Available). Available from: https://www.researchgate.net/publication/325263747_Analysis_of_the_Influence_of_microRNAs_in_Lithium_Response_in_Bipolar_Disorder [accessed Jun 01 2018].

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30215 - Psychiatry

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Frontiers in Psychiatry

  • ISSN

    1664-0640

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    "Article Number: 207"

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    9

  • Pages from-to

    1-9

  • UT code for WoS article

    000433565000001

  • EID of the result in the Scopus database

    2-s2.0-85047859367