Department of Economics and Business Economics

The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls

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The Genetics of the Mood Disorder Spectrum : Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. / Coleman, Jonathan R I; Gaspar, Héléna A; Bryois, Julien; Breen, Gerome; Bipolar Disorder Working Group of the Psychiatric Genomics Consortium ; Christensen, Jane Hvarregaard (Member of author collaboration).

In: Biological Psychiatry, Vol. 88, No. 2, 2020, p. 169-184.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Coleman, JRI, Gaspar, HA, Bryois, J, Breen, G, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium & Christensen, JH 2020, 'The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls', Biological Psychiatry, vol. 88, no. 2, pp. 169-184. https://doi.org/10.1016/j.biopsych.2019.10.015

APA

Coleman, J. R. I., Gaspar, H. A., Bryois, J., Breen, G., Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, & Christensen, J. H. (2020). The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. Biological Psychiatry, 88(2), 169-184. https://doi.org/10.1016/j.biopsych.2019.10.015

CBE

Coleman JRI, Gaspar HA, Bryois J, Breen G, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Christensen JH. 2020. The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. Biological Psychiatry. 88(2):169-184. https://doi.org/10.1016/j.biopsych.2019.10.015

MLA

Vancouver

Coleman JRI, Gaspar HA, Bryois J, Breen G, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Christensen JH. The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. Biological Psychiatry. 2020;88(2):169-184. https://doi.org/10.1016/j.biopsych.2019.10.015

Author

Coleman, Jonathan R I ; Gaspar, Héléna A ; Bryois, Julien ; Breen, Gerome ; Bipolar Disorder Working Group of the Psychiatric Genomics Consortium ; Christensen, Jane Hvarregaard. / The Genetics of the Mood Disorder Spectrum : Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. In: Biological Psychiatry. 2020 ; Vol. 88, No. 2. pp. 169-184.

Bibtex

@article{18d6dde143fb40e4b258c4bf8ec1c796,
title = "The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls",
abstract = "BACKGROUND: Mood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction.METHODS: To clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424).RESULTS: Seventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder.CONCLUSIONS: The mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.",
keywords = "Affective disorders, Bipolar disorder, Genetic correlation, Genome-wide association study, Major depressive disorder, Mood disorders",
author = "Coleman, {Jonathan R I} and Gaspar, {H{\'e}l{\'e}na A} and Julien Bryois and Gerome Breen and {Bipolar Disorder Working Group of the Psychiatric Genomics Consortium} and Mortensen, {Preben Bo} and Per Qvist and Christensen, {Jane Hvarregaard}",
note = "Copyright {\textcopyright} 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.",
year = "2020",
doi = "10.1016/j.biopsych.2019.10.015",
language = "English",
volume = "88",
pages = "169--184",
journal = "Biological Psychiatry",
issn = "0006-3223",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - The Genetics of the Mood Disorder Spectrum

T2 - Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls

AU - Coleman, Jonathan R I

AU - Gaspar, Héléna A

AU - Bryois, Julien

AU - Breen, Gerome

AU - Bipolar Disorder Working Group of the Psychiatric Genomics Consortium

AU - Mortensen, Preben Bo

AU - Qvist, Per

AU - Christensen, Jane Hvarregaard

N1 - Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

PY - 2020

Y1 - 2020

N2 - BACKGROUND: Mood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction.METHODS: To clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424).RESULTS: Seventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder.CONCLUSIONS: The mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

AB - BACKGROUND: Mood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction.METHODS: To clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424).RESULTS: Seventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder.CONCLUSIONS: The mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

KW - Affective disorders

KW - Bipolar disorder

KW - Genetic correlation

KW - Genome-wide association study

KW - Major depressive disorder

KW - Mood disorders

UR - http://www.scopus.com/inward/record.url?scp=85078024661&partnerID=8YFLogxK

U2 - 10.1016/j.biopsych.2019.10.015

DO - 10.1016/j.biopsych.2019.10.015

M3 - Journal article

C2 - 31926635

VL - 88

SP - 169

EP - 184

JO - Biological Psychiatry

JF - Biological Psychiatry

SN - 0006-3223

IS - 2

ER -