Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression
It is imperative to understand the specific and shared etiologies of major depression and cardio‐metabolic disease, as both traits are frequently comorbid and each represents a major burden to society. This study examined whether there is a genetic association between major depression and cardio‐met...
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| Veröffentlicht in: | American journal of medical genetics. Part B, Neuropsychiatric genetics Neuropsychiatric genetics, 2020-09, Vol.183 (6), p.309-330 |
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| container_title | American journal of medical genetics. Part B, Neuropsychiatric genetics |
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| creator | Hagenaars, Saskia P. Coleman, Jonathan R. I. Choi, Shing Wan Gaspar, Héléna Adams, Mark J. Howard, David M. Hodgson, Karen Traylor, Matthew Air, Tracy M. Andlauer, Till F. M. Arolt, Volker Baune, Bernhard T. Binder, Elisabeth B. Blackwood, Douglas H. R. Boomsma, Dorret I. Campbell, Archie Cearns, Micah Czamara, Darina Dannlowski, Udo Domschke, Katharina Geus, Eco J. C. Hamilton, Steven P. Hayward, Caroline Hickie, Ian B. Hottenga, Jouke Jan Ising, Marcus Jones, Ian Jones, Lisa Kutalik, Zoltan Lucae, Susanne Martin, Nicholas G. Milaneschi, Yuri Mueller‐Myhsok, Bertram Owen, Michael J. Padmanabhan, Sandosh Penninx, Brenda W. J. H. Pistis, Giorgio Porteous, David J. Preisig, Martin Ripke, Stephan Shyn, Stanley I. Sullivan, Patrick F. Whitfield, John B. Wray, Naomi R. McIntosh, Andrew M. Deary, Ian J. Breen, Gerome Lewis, Cathryn M. |
| description | It is imperative to understand the specific and shared etiologies of major depression and cardio‐metabolic disease, as both traits are frequently comorbid and each represents a major burden to society. This study examined whether there is a genetic association between major depression and cardio‐metabolic traits and if this association is stratified by age at onset for major depression. Polygenic risk scores analysis and linkage disequilibrium score regression was performed to examine whether differences in shared genetic etiology exist between depression case control status (N cases = 40,940, N controls = 67,532), earlier (N = 15,844), and later onset depression (N = 15,800) with body mass index, coronary artery disease, stroke, and type 2 diabetes in 11 data sets from the Psychiatric Genomics Consortium, Generation Scotland, and UK Biobank. All cardio‐metabolic polygenic risk scores were associated with depression status. Significant genetic correlations were found between depression and body mass index, coronary artery disease, and type 2 diabetes. Higher polygenic risk for body mass index, coronary artery disease, and type 2 diabetes was associated with both early and later onset depression, while higher polygenic risk for stroke was associated with later onset depression only. Significant genetic correlations were found between body mass index and later onset depression, and between coronary artery disease and both early and late onset depression. The phenotypic associations between major depression and cardio‐metabolic traits may partly reflect their overlapping genetic etiology irrespective of the age depression first presents. |
| doi_str_mv | 10.1002/ajmg.b.32807 |
| format | Article |
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I. ; Choi, Shing Wan ; Gaspar, Héléna ; Adams, Mark J. ; Howard, David M. ; Hodgson, Karen ; Traylor, Matthew ; Air, Tracy M. ; Andlauer, Till F. M. ; Arolt, Volker ; Baune, Bernhard T. ; Binder, Elisabeth B. ; Blackwood, Douglas H. R. ; Boomsma, Dorret I. ; Campbell, Archie ; Cearns, Micah ; Czamara, Darina ; Dannlowski, Udo ; Domschke, Katharina ; Geus, Eco J. C. ; Hamilton, Steven P. ; Hayward, Caroline ; Hickie, Ian B. ; Hottenga, Jouke Jan ; Ising, Marcus ; Jones, Ian ; Jones, Lisa ; Kutalik, Zoltan ; Lucae, Susanne ; Martin, Nicholas G. ; Milaneschi, Yuri ; Mueller‐Myhsok, Bertram ; Owen, Michael J. ; Padmanabhan, Sandosh ; Penninx, Brenda W. J. H. ; Pistis, Giorgio ; Porteous, David J. ; Preisig, Martin ; Ripke, Stephan ; Shyn, Stanley I. ; Sullivan, Patrick F. ; Whitfield, John B. ; Wray, Naomi R. ; McIntosh, Andrew M. ; Deary, Ian J. ; Breen, Gerome ; Lewis, Cathryn M.</creator><creatorcontrib>Hagenaars, Saskia P. ; Coleman, Jonathan R. I. ; Choi, Shing Wan ; Gaspar, Héléna ; Adams, Mark J. ; Howard, David M. ; Hodgson, Karen ; Traylor, Matthew ; Air, Tracy M. ; Andlauer, Till F. M. ; Arolt, Volker ; Baune, Bernhard T. ; Binder, Elisabeth B. ; Blackwood, Douglas H. R. ; Boomsma, Dorret I. ; Campbell, Archie ; Cearns, Micah ; Czamara, Darina ; Dannlowski, Udo ; Domschke, Katharina ; Geus, Eco J. C. ; Hamilton, Steven P. ; Hayward, Caroline ; Hickie, Ian B. ; Hottenga, Jouke Jan ; Ising, Marcus ; Jones, Ian ; Jones, Lisa ; Kutalik, Zoltan ; Lucae, Susanne ; Martin, Nicholas G. ; Milaneschi, Yuri ; Mueller‐Myhsok, Bertram ; Owen, Michael J. ; Padmanabhan, Sandosh ; Penninx, Brenda W. J. H. ; Pistis, Giorgio ; Porteous, David J. ; Preisig, Martin ; Ripke, Stephan ; Shyn, Stanley I. ; Sullivan, Patrick F. ; Whitfield, John B. ; Wray, Naomi R. ; McIntosh, Andrew M. ; Deary, Ian J. ; Breen, Gerome ; Lewis, Cathryn M.</creatorcontrib><description>It is imperative to understand the specific and shared etiologies of major depression and cardio‐metabolic disease, as both traits are frequently comorbid and each represents a major burden to society. This study examined whether there is a genetic association between major depression and cardio‐metabolic traits and if this association is stratified by age at onset for major depression. Polygenic risk scores analysis and linkage disequilibrium score regression was performed to examine whether differences in shared genetic etiology exist between depression case control status (N cases = 40,940, N controls = 67,532), earlier (N = 15,844), and later onset depression (N = 15,800) with body mass index, coronary artery disease, stroke, and type 2 diabetes in 11 data sets from the Psychiatric Genomics Consortium, Generation Scotland, and UK Biobank. All cardio‐metabolic polygenic risk scores were associated with depression status. Significant genetic correlations were found between depression and body mass index, coronary artery disease, and type 2 diabetes. Higher polygenic risk for body mass index, coronary artery disease, and type 2 diabetes was associated with both early and later onset depression, while higher polygenic risk for stroke was associated with later onset depression only. Significant genetic correlations were found between body mass index and later onset depression, and between coronary artery disease and both early and late onset depression. The phenotypic associations between major depression and cardio‐metabolic traits may partly reflect their overlapping genetic etiology irrespective of the age depression first presents.</description><identifier>ISSN: 1552-4841</identifier><identifier>ISSN: 1552-485X</identifier><identifier>EISSN: 1552-485X</identifier><identifier>DOI: 10.1002/ajmg.b.32807</identifier><identifier>PMID: 32681593</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Age ; age at onset ; Age Factors ; Age of Onset ; Body Mass Index ; Cardiometabolic Risk Factors ; Cardiovascular disease ; cardio‐metabolic disease ; Case-Control Studies ; Comorbidity ; Coronary artery ; Coronary Artery Disease - genetics ; Coronary vessels ; Databases, Genetic ; depression ; Depression - genetics ; Depression - physiopathology ; Depressive Disorder, Major - genetics ; Depressive Disorder, Major - physiopathology ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - genetics ; Etiology ; Female ; Genetic Association Studies - methods ; Genetic Predisposition to Disease - genetics ; Genetics ; Genome-Wide Association Study ; Genotype ; Heart diseases ; Humans ; Linkage analysis ; Linkage disequilibrium ; Linkage Disequilibrium - genetics ; Male ; Mental depression ; Metabolic disorders ; Metabolic Syndrome - genetics ; Metabolic Syndrome - physiopathology ; Metabolism ; Multifactorial Inheritance - genetics ; Phenotype ; Polygenic inheritance ; polygenic risk scores ; Polymorphism, Single Nucleotide - genetics ; Stroke - genetics</subject><ispartof>American journal of medical genetics. 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I.</creatorcontrib><creatorcontrib>Choi, Shing Wan</creatorcontrib><creatorcontrib>Gaspar, Héléna</creatorcontrib><creatorcontrib>Adams, Mark J.</creatorcontrib><creatorcontrib>Howard, David M.</creatorcontrib><creatorcontrib>Hodgson, Karen</creatorcontrib><creatorcontrib>Traylor, Matthew</creatorcontrib><creatorcontrib>Air, Tracy M.</creatorcontrib><creatorcontrib>Andlauer, Till F. M.</creatorcontrib><creatorcontrib>Arolt, Volker</creatorcontrib><creatorcontrib>Baune, Bernhard T.</creatorcontrib><creatorcontrib>Binder, Elisabeth B.</creatorcontrib><creatorcontrib>Blackwood, Douglas H. R.</creatorcontrib><creatorcontrib>Boomsma, Dorret I.</creatorcontrib><creatorcontrib>Campbell, Archie</creatorcontrib><creatorcontrib>Cearns, Micah</creatorcontrib><creatorcontrib>Czamara, Darina</creatorcontrib><creatorcontrib>Dannlowski, Udo</creatorcontrib><creatorcontrib>Domschke, Katharina</creatorcontrib><creatorcontrib>Geus, Eco J. C.</creatorcontrib><creatorcontrib>Hamilton, Steven P.</creatorcontrib><creatorcontrib>Hayward, Caroline</creatorcontrib><creatorcontrib>Hickie, Ian B.</creatorcontrib><creatorcontrib>Hottenga, Jouke Jan</creatorcontrib><creatorcontrib>Ising, Marcus</creatorcontrib><creatorcontrib>Jones, Ian</creatorcontrib><creatorcontrib>Jones, Lisa</creatorcontrib><creatorcontrib>Kutalik, Zoltan</creatorcontrib><creatorcontrib>Lucae, Susanne</creatorcontrib><creatorcontrib>Martin, Nicholas G.</creatorcontrib><creatorcontrib>Milaneschi, Yuri</creatorcontrib><creatorcontrib>Mueller‐Myhsok, Bertram</creatorcontrib><creatorcontrib>Owen, Michael J.</creatorcontrib><creatorcontrib>Padmanabhan, Sandosh</creatorcontrib><creatorcontrib>Penninx, Brenda W. J. H.</creatorcontrib><creatorcontrib>Pistis, Giorgio</creatorcontrib><creatorcontrib>Porteous, David J.</creatorcontrib><creatorcontrib>Preisig, Martin</creatorcontrib><creatorcontrib>Ripke, Stephan</creatorcontrib><creatorcontrib>Shyn, Stanley I.</creatorcontrib><creatorcontrib>Sullivan, Patrick F.</creatorcontrib><creatorcontrib>Whitfield, John B.</creatorcontrib><creatorcontrib>Wray, Naomi R.</creatorcontrib><creatorcontrib>McIntosh, Andrew M.</creatorcontrib><creatorcontrib>Deary, Ian J.</creatorcontrib><creatorcontrib>Breen, Gerome</creatorcontrib><creatorcontrib>Lewis, Cathryn M.</creatorcontrib><title>Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression</title><title>American journal of medical genetics. Part B, Neuropsychiatric genetics</title><addtitle>Am J Med Genet B Neuropsychiatr Genet</addtitle><description>It is imperative to understand the specific and shared etiologies of major depression and cardio‐metabolic disease, as both traits are frequently comorbid and each represents a major burden to society. This study examined whether there is a genetic association between major depression and cardio‐metabolic traits and if this association is stratified by age at onset for major depression. Polygenic risk scores analysis and linkage disequilibrium score regression was performed to examine whether differences in shared genetic etiology exist between depression case control status (N cases = 40,940, N controls = 67,532), earlier (N = 15,844), and later onset depression (N = 15,800) with body mass index, coronary artery disease, stroke, and type 2 diabetes in 11 data sets from the Psychiatric Genomics Consortium, Generation Scotland, and UK Biobank. All cardio‐metabolic polygenic risk scores were associated with depression status. Significant genetic correlations were found between depression and body mass index, coronary artery disease, and type 2 diabetes. Higher polygenic risk for body mass index, coronary artery disease, and type 2 diabetes was associated with both early and later onset depression, while higher polygenic risk for stroke was associated with later onset depression only. Significant genetic correlations were found between body mass index and later onset depression, and between coronary artery disease and both early and late onset depression. The phenotypic associations between major depression and cardio‐metabolic traits may partly reflect their overlapping genetic etiology irrespective of the age depression first presents.</description><subject>Age</subject><subject>age at onset</subject><subject>Age Factors</subject><subject>Age of Onset</subject><subject>Body Mass Index</subject><subject>Cardiometabolic Risk Factors</subject><subject>Cardiovascular disease</subject><subject>cardio‐metabolic disease</subject><subject>Case-Control Studies</subject><subject>Comorbidity</subject><subject>Coronary artery</subject><subject>Coronary Artery Disease - genetics</subject><subject>Coronary vessels</subject><subject>Databases, Genetic</subject><subject>depression</subject><subject>Depression - genetics</subject><subject>Depression - physiopathology</subject><subject>Depressive Disorder, Major - genetics</subject><subject>Depressive Disorder, Major - physiopathology</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - genetics</subject><subject>Etiology</subject><subject>Female</subject><subject>Genetic Association Studies - methods</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Genetics</subject><subject>Genome-Wide Association Study</subject><subject>Genotype</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Linkage analysis</subject><subject>Linkage disequilibrium</subject><subject>Linkage Disequilibrium - genetics</subject><subject>Male</subject><subject>Mental depression</subject><subject>Metabolic disorders</subject><subject>Metabolic Syndrome - genetics</subject><subject>Metabolic Syndrome - physiopathology</subject><subject>Metabolism</subject><subject>Multifactorial Inheritance - genetics</subject><subject>Phenotype</subject><subject>Polygenic inheritance</subject><subject>polygenic risk scores</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Stroke - genetics</subject><issn>1552-4841</issn><issn>1552-485X</issn><issn>1552-485X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp9kctuEzEUhkcIREvLjjWyxIZFE3ydGW-Q2goCqKibIrGzfDkTHM3YwXaowopH4Bl5ElxSIi5SN_aR_PnTf_Q3zROC5wRj-kKvpuXczBntcXevOSRC0Bnvxcf7-5mTg-ZRziuMGRZd97A5YLTtiZDssPm6gADFW2TjFJPxzpctMlCuAQKa9Com5GCdIGcfA9LBIauT8_HHt-8TFG3iWP-WpH3JJyjXofjBg0Nmi_QSkC4ohgz1HP6zHTcPBj1meHx7HzUfXr-6On8zu7hcvD0_vZhZXtPOoBWAsSB2IBozoXtnOba8Y23npIO2o33PmcAOGylNP2iGpbVEMwEGu5ayo-blzrvemAmchVBjjmqd_KTTVkXt1d8vwX9Sy_hFdVKSVrIqeH4rSPHzBnJRk88WxlEHiJusKKdcylZQUdFn_6CruEmhrlcphnvG2w5X6mRH2RRzTjDswxCsbkpVN6Uqo36VWvGnfy6wh3-3WAG-A679CNs7Zer03fvF2c77EwWrscI</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Hagenaars, Saskia P.</creator><creator>Coleman, Jonathan R. 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I. ; Choi, Shing Wan ; Gaspar, Héléna ; Adams, Mark J. ; Howard, David M. ; Hodgson, Karen ; Traylor, Matthew ; Air, Tracy M. ; Andlauer, Till F. M. ; Arolt, Volker ; Baune, Bernhard T. ; Binder, Elisabeth B. ; Blackwood, Douglas H. R. ; Boomsma, Dorret I. ; Campbell, Archie ; Cearns, Micah ; Czamara, Darina ; Dannlowski, Udo ; Domschke, Katharina ; Geus, Eco J. C. ; Hamilton, Steven P. ; Hayward, Caroline ; Hickie, Ian B. ; Hottenga, Jouke Jan ; Ising, Marcus ; Jones, Ian ; Jones, Lisa ; Kutalik, Zoltan ; Lucae, Susanne ; Martin, Nicholas G. ; Milaneschi, Yuri ; Mueller‐Myhsok, Bertram ; Owen, Michael J. ; Padmanabhan, Sandosh ; Penninx, Brenda W. J. H. ; Pistis, Giorgio ; Porteous, David J. ; Preisig, Martin ; Ripke, Stephan ; Shyn, Stanley I. ; Sullivan, Patrick F. ; Whitfield, John B. ; Wray, Naomi R. ; McIntosh, Andrew M. ; Deary, Ian J. ; Breen, Gerome ; Lewis, Cathryn M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4577-e65e0051cf1a035a8dc40c47367d9de672884350d0b99b8fa309cc1a35eb0d623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>age at onset</topic><topic>Age Factors</topic><topic>Age of Onset</topic><topic>Body Mass Index</topic><topic>Cardiometabolic Risk Factors</topic><topic>Cardiovascular disease</topic><topic>cardio‐metabolic disease</topic><topic>Case-Control Studies</topic><topic>Comorbidity</topic><topic>Coronary artery</topic><topic>Coronary Artery Disease - genetics</topic><topic>Coronary vessels</topic><topic>Databases, Genetic</topic><topic>depression</topic><topic>Depression - genetics</topic><topic>Depression - physiopathology</topic><topic>Depressive Disorder, Major - genetics</topic><topic>Depressive Disorder, Major - physiopathology</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - genetics</topic><topic>Etiology</topic><topic>Female</topic><topic>Genetic Association Studies - methods</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>Genetics</topic><topic>Genome-Wide Association Study</topic><topic>Genotype</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Linkage analysis</topic><topic>Linkage disequilibrium</topic><topic>Linkage Disequilibrium - genetics</topic><topic>Male</topic><topic>Mental depression</topic><topic>Metabolic disorders</topic><topic>Metabolic Syndrome - genetics</topic><topic>Metabolic Syndrome - physiopathology</topic><topic>Metabolism</topic><topic>Multifactorial Inheritance - genetics</topic><topic>Phenotype</topic><topic>Polygenic inheritance</topic><topic>polygenic risk scores</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Stroke - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hagenaars, Saskia P.</creatorcontrib><creatorcontrib>Coleman, Jonathan R. 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H.</creatorcontrib><creatorcontrib>Pistis, Giorgio</creatorcontrib><creatorcontrib>Porteous, David J.</creatorcontrib><creatorcontrib>Preisig, Martin</creatorcontrib><creatorcontrib>Ripke, Stephan</creatorcontrib><creatorcontrib>Shyn, Stanley I.</creatorcontrib><creatorcontrib>Sullivan, Patrick F.</creatorcontrib><creatorcontrib>Whitfield, John B.</creatorcontrib><creatorcontrib>Wray, Naomi R.</creatorcontrib><creatorcontrib>McIntosh, Andrew M.</creatorcontrib><creatorcontrib>Deary, Ian J.</creatorcontrib><creatorcontrib>Breen, Gerome</creatorcontrib><creatorcontrib>Lewis, Cathryn M.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of medical genetics. Part B, Neuropsychiatric genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hagenaars, Saskia P.</au><au>Coleman, Jonathan R. I.</au><au>Choi, Shing Wan</au><au>Gaspar, Héléna</au><au>Adams, Mark J.</au><au>Howard, David M.</au><au>Hodgson, Karen</au><au>Traylor, Matthew</au><au>Air, Tracy M.</au><au>Andlauer, Till F. M.</au><au>Arolt, Volker</au><au>Baune, Bernhard T.</au><au>Binder, Elisabeth B.</au><au>Blackwood, Douglas H. R.</au><au>Boomsma, Dorret I.</au><au>Campbell, Archie</au><au>Cearns, Micah</au><au>Czamara, Darina</au><au>Dannlowski, Udo</au><au>Domschke, Katharina</au><au>Geus, Eco J. C.</au><au>Hamilton, Steven P.</au><au>Hayward, Caroline</au><au>Hickie, Ian B.</au><au>Hottenga, Jouke Jan</au><au>Ising, Marcus</au><au>Jones, Ian</au><au>Jones, Lisa</au><au>Kutalik, Zoltan</au><au>Lucae, Susanne</au><au>Martin, Nicholas G.</au><au>Milaneschi, Yuri</au><au>Mueller‐Myhsok, Bertram</au><au>Owen, Michael J.</au><au>Padmanabhan, Sandosh</au><au>Penninx, Brenda W. J. H.</au><au>Pistis, Giorgio</au><au>Porteous, David J.</au><au>Preisig, Martin</au><au>Ripke, Stephan</au><au>Shyn, Stanley I.</au><au>Sullivan, Patrick F.</au><au>Whitfield, John B.</au><au>Wray, Naomi R.</au><au>McIntosh, Andrew M.</au><au>Deary, Ian J.</au><au>Breen, Gerome</au><au>Lewis, Cathryn M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression</atitle><jtitle>American journal of medical genetics. Part B, Neuropsychiatric genetics</jtitle><addtitle>Am J Med Genet B Neuropsychiatr Genet</addtitle><date>2020-09</date><risdate>2020</risdate><volume>183</volume><issue>6</issue><spage>309</spage><epage>330</epage><pages>309-330</pages><issn>1552-4841</issn><issn>1552-485X</issn><eissn>1552-485X</eissn><abstract>It is imperative to understand the specific and shared etiologies of major depression and cardio‐metabolic disease, as both traits are frequently comorbid and each represents a major burden to society. This study examined whether there is a genetic association between major depression and cardio‐metabolic traits and if this association is stratified by age at onset for major depression. Polygenic risk scores analysis and linkage disequilibrium score regression was performed to examine whether differences in shared genetic etiology exist between depression case control status (N cases = 40,940, N controls = 67,532), earlier (N = 15,844), and later onset depression (N = 15,800) with body mass index, coronary artery disease, stroke, and type 2 diabetes in 11 data sets from the Psychiatric Genomics Consortium, Generation Scotland, and UK Biobank. All cardio‐metabolic polygenic risk scores were associated with depression status. Significant genetic correlations were found between depression and body mass index, coronary artery disease, and type 2 diabetes. Higher polygenic risk for body mass index, coronary artery disease, and type 2 diabetes was associated with both early and later onset depression, while higher polygenic risk for stroke was associated with later onset depression only. Significant genetic correlations were found between body mass index and later onset depression, and between coronary artery disease and both early and late onset depression. The phenotypic associations between major depression and cardio‐metabolic traits may partly reflect their overlapping genetic etiology irrespective of the age depression first presents.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>32681593</pmid><doi>10.1002/ajmg.b.32807</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0001-7381-904X</orcidid><orcidid>https://orcid.org/0000-0001-9697-8596</orcidid><orcidid>https://orcid.org/0000-0003-4069-8020</orcidid><orcidid>https://orcid.org/0000-0001-7421-3357</orcidid><orcidid>https://orcid.org/0000-0002-6759-0944</orcidid><orcidid>https://orcid.org/0000-0002-2917-5889</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1552-4841 |
| ispartof | American journal of medical genetics. Part B, Neuropsychiatric genetics, 2020-09, Vol.183 (6), p.309-330 |
| issn | 1552-4841 1552-485X 1552-485X |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7991693 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Age age at onset Age Factors Age of Onset Body Mass Index Cardiometabolic Risk Factors Cardiovascular disease cardio‐metabolic disease Case-Control Studies Comorbidity Coronary artery Coronary Artery Disease - genetics Coronary vessels Databases, Genetic depression Depression - genetics Depression - physiopathology Depressive Disorder, Major - genetics Depressive Disorder, Major - physiopathology Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - genetics Etiology Female Genetic Association Studies - methods Genetic Predisposition to Disease - genetics Genetics Genome-Wide Association Study Genotype Heart diseases Humans Linkage analysis Linkage disequilibrium Linkage Disequilibrium - genetics Male Mental depression Metabolic disorders Metabolic Syndrome - genetics Metabolic Syndrome - physiopathology Metabolism Multifactorial Inheritance - genetics Phenotype Polygenic inheritance polygenic risk scores Polymorphism, Single Nucleotide - genetics Stroke - genetics |
| title | Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression |
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