@article{9bddd0de717342d0bc81e52ad017b354,
title = "Genetic examination of the Mood Disorder Questionnaire and its relationship with bipolar disorder",
abstract = "The Mood Disorder Questionnaire (MDQ) is a common screening tool for bipolar disorder that assesses manic symptoms. Its utility for genetic studies of mania or bipolar traits has not been fully examined. We psychometrically compared the MDQ to self‐reported bipolar disorder in participants from the United Kingdom National Institute of Health and Care Research Mental Health BioResource. We conducted genome‐ wide association studies of manic symptom quantitative traits and symptom subgroups, derived from the MDQ items (N= 11,568–19,859). We calculated genetic correlations with bipolar disorder and other psychiatric and behavioral traits. The MDQ screener showed low positive predictive value (0.29) for self‐reported bipolar disorder. Neither concurrent nor lifetime manic symptoms were genetically correlated with bipolar disorder. Lifetime manic symptoms had a highest genetic correlation (rg= 1.0) with posttraumatic stress disorder although this was not confirmed by within-cohort phenotypic correlations (rp=0.41). Other significant genetic correlations included attention deficit hyperactivity disorder (rg=0.69), insomnia (rg=0.55), and major depressive disorder (rg=0.42). Our study adds to existing literature questioning the MDQ{\textquoteright}s validity and suggests it may capture symptoms of general distress or psychopathology, rather than hypomania/mania specifically, in at-risk populations. ",
keywords = "bipolar disorder, factor analysis, genetic correlation, genome-wide association study, hypomania, mania",
author = "Jessica Mundy and Christopher H{\"u}bel and Brett Adey and Helena Davies and Davies, {Molly R} and Jonathan Coleman and Matthew Hotopf and Gursharan Kalsi and Lee, {Sang Hyuck} and {M. McIntosh}, Andrew and Henry Rogers and Thalia Eley and Robin Murray and Evangelos Vassos and Gerome Breen",
note = "Funding Information: We thank all GLAD study and NIHR BioResource volunteers for their participation, and gratefully acknowledge the NIHR BioResource, NIHR BioResource centers, NHS Trusts, and staff for their contribution. We also acknowledge King's College London, South London and Maudsley NHS Trust and King's Health Partners. We thank the National Institute for Health and Care Research, NHS Blood and Transplant, and Health Data Research UK as part of the Digital Innovation Hub Programme. We acknowledge use of the research computing facility at King's College London, Rosalind (https://rosalind.kcl.ac.uk), which is delivered in partnership with the NIHR Biomedical Research Centres at South London & Maudsley and Guy's & St. Thomas' NHS Foundation Trusts, and part-funded by capital equipment grants from the Maudsley Charity (award 980) and Guy's & St. Thomas' Charity (TR130505). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, King's College London, or the Department of Health and Social Care. Funding Information: This work was supported by the National Institute for Health and Care Research (NIHR) BioResource (RG94028, RG85445), NIHR Biomedical Research Centre (IS‐BRC‐1215‐20018), HSC R&D Division, Public Health Agency (COM/5516/18), MRC Mental Health Data Pathfinder Award (MC_PC_17217), and the National Centre for Mental Health funding through Health and Care Research Wales. Jessica Mundy acknowledges funding from the Lord Leverhulme Charitable Grant. Helena L. Davies acknowledges funding from the Economic and Social Research Council (ESRC) as part of a PhD studentship. Brett N. Adey acknowledges funding through a pre‐doctoral Fellowship from the NIHR (NIHR301067). Dr. Christopher H{\"u}bel acknowledges funding from Lundbeckfonden (R276‐2018‐4581). Funding Information: We thank all GLAD study and NIHR BioResource volunteers for their participation, and gratefully acknowledge the NIHR BioResource, NIHR BioResource centers, NHS Trusts, and staff for their contribution. We also acknowledge King's College London, South London and Maudsley NHS Trust and King's Health Partners. We thank the National Institute for Health and Care Research, NHS Blood and Transplant, and Health Data Research UK as part of the Digital Innovation Hub Programme. We acknowledge use of the research computing facility at King's College London, ( https://rosalind.kcl.ac.uk ), which is delivered in partnership with the NIHR Biomedical Research Centres at South London & Maudsley and Guy's & St. Thomas' NHS Foundation Trusts, and part‐funded by capital equipment grants from the Maudsley Charity (award 980) and Guy's & St. Thomas' Charity (TR130505). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, King's College London, or the Department of Health and Social Care. Rosalind Publisher Copyright: {\textcopyright} 2023 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics published by Wiley Periodicals LLC.",
year = "2023",
month = oct,
day = "1",
doi = "https://doi.org/10.1002/ajmg.b.32938",
language = "English",
volume = "192",
pages = "147--160",
journal = "American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics",
issn = "1552-4841",
publisher = "Wiley-Liss Inc.",
number = "7-8",
}