|
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| PMID |
|
|
| TITLE |
|
| Genome-wide meta-analysis of ascertainment and symptom structures of major depression in case-enriched and community cohorts. |
|
| ABSTRACT |
|
| BACKGROUND |
NlmCategory: BACKGROUND |
| Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data. |
| METHODS |
NlmCategory: METHODS |
| Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data. We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors. |
| RESULTS |
NlmCategory: RESULTS |
| Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data. We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors. The best fitting model had a distinct factor for symptoms and an additional measurement factor that accounted for the skip-structure in community cohorts (use of Depression and Anhedonia as gating symptoms). |
| CONCLUSION |
NlmCategory: CONCLUSIONS |
| Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data. We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors. The best fitting model had a distinct factor for symptoms and an additional measurement factor that accounted for the skip-structure in community cohorts (use of Depression and Anhedonia as gating symptoms). The results show the importance of assessing the directionality of symptoms (such as hypersomnia versus insomnia) and of accounting for study and measurement design when meta-analyzing genetic association data. |
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| DATE PUBLISHED |
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| HISTORY |
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| PUBSTATUS |
PUBSTATUSDATE |
| medline |
2024/09/26 06:57 |
| pubmed |
2024/09/26 06:57 |
| entrez |
2024/09/26 05:53 |
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| AUTHORS |
|
| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Adams MJ |
|
Adams |
Mark J |
MJ |
|
Division of Psychiatry, University of Edinburgh, Edinburgh, UK. |
| Thorp JG |
|
Thorp |
Jackson G |
JG |
|
Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. |
| Jermy BS |
|
Jermy |
Bradley S |
BS |
|
Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland. |
| Kwong ASF |
|
Kwong |
Alex S F |
ASF |
|
MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK. |
| Kõiv K |
|
Kõiv |
Kadri |
K |
|
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia. |
| Grotzinger AD |
|
Grotzinger |
Andrew D |
AD |
|
Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA. |
| Nivard MG |
|
Nivard |
Michel G |
MG |
|
Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. |
| Marshall S |
|
Marshall |
Sally |
S |
|
Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK. |
| Milaneschi Y |
|
Milaneschi |
Yuri |
Y |
|
Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. |
| Baune BT |
|
Baune |
Bernhard T |
BT |
|
Department of Psychiatry, University of Münster, Münster, NRW, Germany. |
| Müller-Myhsok B |
|
Müller-Myhsok |
Bertram |
B |
|
Institute of Population Health, University of Liverpool, Liverpool, UK. |
| Penninx BWJH |
|
Penninx |
Brenda W J H |
BWJH |
|
Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. |
| Boomsma DI |
|
Boomsma |
Dorret I |
DI |
|
Department of Biological Psychology & Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. |
| Levinson DF |
|
Levinson |
Douglas F |
DF |
|
Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA. |
| Breen G |
|
Breen |
Gerome |
G |
|
NIHR Maudsley Biomedical Research Centre, King's College London, London, UK. |
| Pistis G |
|
Pistis |
Giorgio |
G |
|
Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, VD, Switzerland. |
| Grabe HJ |
|
Grabe |
Hans J |
HJ |
|
Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, MV, Germany. |
| Tiemeier H |
|
Tiemeier |
Henning |
H |
|
Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA. |
| Berger K |
|
Berger |
Klaus |
K |
|
Institute of Epidemiology and Social Medicine, University of Münster, Münster, NRW, Germany. |
| Rietschel M |
|
Rietschel |
Marcella |
M |
|
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, BW, Germany. |
| Magnusson PK |
|
Magnusson |
Patrik K |
PK |
|
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. |
| Uher R |
|
Uher |
Rudolf |
R |
|
Psychiatry, Dalhousie University, Halifax, NS, Canada. |
| Hamilton SP |
|
Hamilton |
Steven P |
SP |
|
Psychiatry, Kaiser Permanente Northern California, San Francisco, CA, USA. |
| Lucae S |
|
Lucae |
Susanne |
S |
|
Max Planck Institute of Psychiatry, Munich, BY, Germany. |
| Lehto K |
|
Lehto |
Kelli |
K |
|
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia. |
| Li QS |
|
Li |
Qingqin S |
QS |
|
Neuroscience Therapeutic Area, Janssen Research and Development, LLC, Titusville, NJ, USA. |
| Byrne EM |
|
Byrne |
Enda M |
EM |
|
Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia. |
| Hickie IB |
|
Hickie |
Ian B |
IB |
|
Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia. |
| Martin NG |
|
Martin |
Nicholas G |
NG |
|
Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. |
| Medland SE |
|
Medland |
Sarah E |
SE |
|
Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. |
| Wray NR |
|
Wray |
Naomi R |
NR |
|
Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia. |
| Tucker-Drob EM |
|
Tucker-Drob |
Elliot M |
EM |
|
Population Research Center, University of Texas at Austin, Austin, TX, USA. |
|
Estonian Biobank Research Team |
|
|
|
|
|
|
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium |
|
|
|
|
|
| Lewis CM |
|
Lewis |
Cathryn M |
CM |
|
Department of Medical & Molecular Genetics, King's College London, London, UK. |
| McIntosh AM |
|
McIntosh |
Andrew M |
AM |
|
Institute for Genomics and Cancer, University of Edinburgh, Edinburgh, UK. |
| Derks EM |
|
Derks |
Eske M |
EM |
|
Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. |
|
| INVESTIGATORS |
|
|
| JOURNAL |
|
| VOLUME: |
| ISSUE: |
| TITLE: Psychological medicine |
| ISOABBREVIATION: Psychol Med |
| YEAR: 2024 |
| MONTH: Sep |
| DAY: 26 |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Internet |
| ISSN: 1469-8978 |
| ISSNTYPE: Electronic |
|
| MEDLINE JOURNAL |
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| MEDLINETA: Psychol Med |
| COUNTRY: England |
| ISSNLINKING: 0033-2917 |
| NLMUNIQUEID: 1254142 |
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| PUBLICATION TYPE |
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| PUBLICATIONTYPE TEXT |
| Journal Article |
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| COMMENTS AND CORRECTIONS |
|
|
| GRANTS |
|
| GRANTID |
AGENCY |
COUNTRY |
| R01D0042157-01A, MH081802, Grand Opportunity grants 1RC2 MH089951 and 1RC2 MH089995 |
NIH HHS |
United States |
| 217065/Z/19/Z |
Medical Research Council |
United Kingdom |
| 10-000-1002 |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
|
| PSG615 |
Eesti Teadusagentuur |
|
| 104036/Z/14/Z; 220857/Z/20/Z) |
Wellcome Trust |
United Kingdom |
| APP1172917, APP1138514 and MRF1200644 |
National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care North West Coast |
|
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| GENERAL NOTE |
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| KEYWORDS |
|
| KEYWORD |
| Genomic SEM |
| depressive symptoms |
| genome-wide association study |
| major depressive disorder |
| psychometrics |
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| MESH HEADINGS |
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| SUPPLEMENTARY MESH |
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| GENE SYMBOLS |
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| CHEMICALS |
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| OTHER ID's |
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