Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits
Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcom...
Gespeichert in:
| Veröffentlicht in: | American journal of medical genetics. Part B, Neuropsychiatric genetics Neuropsychiatric genetics, 2023-01, Vol.192 (1-2), p.3-12 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 12 |
|---|---|
| container_issue | 1-2 |
| container_start_page | 3 |
| container_title | American journal of medical genetics. Part B, Neuropsychiatric genetics |
| container_volume | 192 |
| creator | Akingbuwa, Wonuola A. Hammerschlag, Anke R. Allegrini, Andrea G. Sallis, Hannah Kuja‐Halkola, Ralf Rimfeld, Kaili Lichtenstein, Paul Lundstrom, Sebastian Munafò, Marcus R. Plomin, Robert Nivard, Michel G. Bartels, Meike Middeldorp, Christel M. |
| description | Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention‐deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well‐being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5–10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well‐being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well‐being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism. |
| doi_str_mv | 10.1002/ajmg.b.32922 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_swepub_ki_se_449576</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2748252746</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4452-f9b35c6573eca79b1b43888cc7d6a8569594d03b966b00a008e60352d57aaa73</originalsourceid><addsrcrecordid>eNp9kU1vEzEQhlcIREvLjTOyxJWkXn_sx7FUUKhacemhN2tsTzYOTrzYu0T7A_jfON2QYw-2RzOPHst-i-JDSZclpewKNttuqZectYy9Ks5LKdlCNPLp9akW5VnxLqUNpZzKun5bnPGKNzSv8-Lvw-gH9weigwEJ7MBPCRMJK7INHs3oIZIOdzg4QyClYDLnwi4RjcMecUfM2nm7DsGSPk1mHXoY1sGHbsoyS8BmfVblsXUpRIsxPQ8i-nyhJUMEN6TL4s0KfML3x_OiePz29fHm--L-5-2Pm-v7hREiP2XVai5NJWuOBupWl1rwpmmMqW0Fjaxa2QpLuW6rSlMKlDZYUS6ZlTUA1PyiWMzatMd-1KqPbgtxUgGcOrZ-5QqVEK2sqxf5buxVbnXjgeeM8bbJ_KeZ72P4PWIa1CaMMf9pUqwWDZN5P1g_z5SJIaWIq5O3pOoQqTpEqrR6jjTjH4_SUW_RnuD_GWZAzMDeeZxelKnru4fbL7P3H3JLsYw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2748252746</pqid></control><display><type>article</type><title>Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>SWEPUB Freely available online</source><creator>Akingbuwa, Wonuola A. ; Hammerschlag, Anke R. ; Allegrini, Andrea G. ; Sallis, Hannah ; Kuja‐Halkola, Ralf ; Rimfeld, Kaili ; Lichtenstein, Paul ; Lundstrom, Sebastian ; Munafò, Marcus R. ; Plomin, Robert ; Nivard, Michel G. ; Bartels, Meike ; Middeldorp, Christel M.</creator><creatorcontrib>Akingbuwa, Wonuola A. ; Hammerschlag, Anke R. ; Allegrini, Andrea G. ; Sallis, Hannah ; Kuja‐Halkola, Ralf ; Rimfeld, Kaili ; Lichtenstein, Paul ; Lundstrom, Sebastian ; Munafò, Marcus R. ; Plomin, Robert ; Nivard, Michel G. ; Bartels, Meike ; Middeldorp, Christel M.</creatorcontrib><description>Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention‐deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well‐being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5–10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well‐being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well‐being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.</description><identifier>ISSN: 1552-4841</identifier><identifier>EISSN: 1552-485X</identifier><identifier>DOI: 10.1002/ajmg.b.32922</identifier><identifier>PMID: 36380638</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>adhd ; Attention Deficit Disorder with Hyperactivity - genetics ; Attention Deficit Disorder with Hyperactivity - psychology ; Attention deficit hyperactivity disorder ; Bipolar disorder ; Body mass index ; Childhood ; childhood psychopathology ; Children ; Depressive Disorder, Major - genetics ; Educational attainment ; Genetic analysis ; Genetic factors ; Genetics ; Genetics & Heredity ; genome-wide association ; Genome-Wide Association Study ; Humans ; Hyperactivity ; Insomnia ; major depression ; Mental depression ; Mental disorders ; Molecular Biology ; Multifactorial Inheritance - genetics ; Multivariate Analysis ; multivariate regression ; Neurosis ; outcomes ; Phenotypes ; Polygenic inheritance ; polygenic scores ; Psychiatry ; Psychopathology ; Psykiatri ; questionnaire ; Sleep disorders ; structural equation ; symptoms ; twin ; Well being</subject><ispartof>American journal of medical genetics. Part B, Neuropsychiatric genetics, 2023-01, Vol.192 (1-2), p.3-12</ispartof><rights>2022 The Authors. published by Wiley Periodicals LLC.</rights><rights>2022 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics published by Wiley Periodicals LLC.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4452-f9b35c6573eca79b1b43888cc7d6a8569594d03b966b00a008e60352d57aaa73</citedby><cites>FETCH-LOGICAL-c4452-f9b35c6573eca79b1b43888cc7d6a8569594d03b966b00a008e60352d57aaa73</cites><orcidid>0000-0002-8205-0807 ; 0000-0002-6218-0428 ; 0000-0002-3765-2067</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fajmg.b.32922$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fajmg.b.32922$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36380638$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/322398$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:151216343$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Akingbuwa, Wonuola A.</creatorcontrib><creatorcontrib>Hammerschlag, Anke R.</creatorcontrib><creatorcontrib>Allegrini, Andrea G.</creatorcontrib><creatorcontrib>Sallis, Hannah</creatorcontrib><creatorcontrib>Kuja‐Halkola, Ralf</creatorcontrib><creatorcontrib>Rimfeld, Kaili</creatorcontrib><creatorcontrib>Lichtenstein, Paul</creatorcontrib><creatorcontrib>Lundstrom, Sebastian</creatorcontrib><creatorcontrib>Munafò, Marcus R.</creatorcontrib><creatorcontrib>Plomin, Robert</creatorcontrib><creatorcontrib>Nivard, Michel G.</creatorcontrib><creatorcontrib>Bartels, Meike</creatorcontrib><creatorcontrib>Middeldorp, Christel M.</creatorcontrib><title>Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits</title><title>American journal of medical genetics. Part B, Neuropsychiatric genetics</title><addtitle>Am J Med Genet B Neuropsychiatr Genet</addtitle><description>Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention‐deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well‐being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5–10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well‐being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well‐being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.</description><subject>adhd</subject><subject>Attention Deficit Disorder with Hyperactivity - genetics</subject><subject>Attention Deficit Disorder with Hyperactivity - psychology</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Bipolar disorder</subject><subject>Body mass index</subject><subject>Childhood</subject><subject>childhood psychopathology</subject><subject>Children</subject><subject>Depressive Disorder, Major - genetics</subject><subject>Educational attainment</subject><subject>Genetic analysis</subject><subject>Genetic factors</subject><subject>Genetics</subject><subject>Genetics & Heredity</subject><subject>genome-wide association</subject><subject>Genome-Wide Association Study</subject><subject>Humans</subject><subject>Hyperactivity</subject><subject>Insomnia</subject><subject>major depression</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Molecular Biology</subject><subject>Multifactorial Inheritance - genetics</subject><subject>Multivariate Analysis</subject><subject>multivariate regression</subject><subject>Neurosis</subject><subject>outcomes</subject><subject>Phenotypes</subject><subject>Polygenic inheritance</subject><subject>polygenic scores</subject><subject>Psychiatry</subject><subject>Psychopathology</subject><subject>Psykiatri</subject><subject>questionnaire</subject><subject>Sleep disorders</subject><subject>structural equation</subject><subject>symptoms</subject><subject>twin</subject><subject>Well being</subject><issn>1552-4841</issn><issn>1552-485X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNp9kU1vEzEQhlcIREvLjTOyxJWkXn_sx7FUUKhacemhN2tsTzYOTrzYu0T7A_jfON2QYw-2RzOPHst-i-JDSZclpewKNttuqZectYy9Ks5LKdlCNPLp9akW5VnxLqUNpZzKun5bnPGKNzSv8-Lvw-gH9weigwEJ7MBPCRMJK7INHs3oIZIOdzg4QyClYDLnwi4RjcMecUfM2nm7DsGSPk1mHXoY1sGHbsoyS8BmfVblsXUpRIsxPQ8i-nyhJUMEN6TL4s0KfML3x_OiePz29fHm--L-5-2Pm-v7hREiP2XVai5NJWuOBupWl1rwpmmMqW0Fjaxa2QpLuW6rSlMKlDZYUS6ZlTUA1PyiWMzatMd-1KqPbgtxUgGcOrZ-5QqVEK2sqxf5buxVbnXjgeeM8bbJ_KeZ72P4PWIa1CaMMf9pUqwWDZN5P1g_z5SJIaWIq5O3pOoQqTpEqrR6jjTjH4_SUW_RnuD_GWZAzMDeeZxelKnru4fbL7P3H3JLsYw</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Akingbuwa, Wonuola A.</creator><creator>Hammerschlag, Anke R.</creator><creator>Allegrini, Andrea G.</creator><creator>Sallis, Hannah</creator><creator>Kuja‐Halkola, Ralf</creator><creator>Rimfeld, Kaili</creator><creator>Lichtenstein, Paul</creator><creator>Lundstrom, Sebastian</creator><creator>Munafò, Marcus R.</creator><creator>Plomin, Robert</creator><creator>Nivard, Michel G.</creator><creator>Bartels, Meike</creator><creator>Middeldorp, Christel M.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>F1U</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-8205-0807</orcidid><orcidid>https://orcid.org/0000-0002-6218-0428</orcidid><orcidid>https://orcid.org/0000-0002-3765-2067</orcidid></search><sort><creationdate>202301</creationdate><title>Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits</title><author>Akingbuwa, Wonuola A. ; Hammerschlag, Anke R. ; Allegrini, Andrea G. ; Sallis, Hannah ; Kuja‐Halkola, Ralf ; Rimfeld, Kaili ; Lichtenstein, Paul ; Lundstrom, Sebastian ; Munafò, Marcus R. ; Plomin, Robert ; Nivard, Michel G. ; Bartels, Meike ; Middeldorp, Christel M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4452-f9b35c6573eca79b1b43888cc7d6a8569594d03b966b00a008e60352d57aaa73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>adhd</topic><topic>Attention Deficit Disorder with Hyperactivity - genetics</topic><topic>Attention Deficit Disorder with Hyperactivity - psychology</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Bipolar disorder</topic><topic>Body mass index</topic><topic>Childhood</topic><topic>childhood psychopathology</topic><topic>Children</topic><topic>Depressive Disorder, Major - genetics</topic><topic>Educational attainment</topic><topic>Genetic analysis</topic><topic>Genetic factors</topic><topic>Genetics</topic><topic>Genetics & Heredity</topic><topic>genome-wide association</topic><topic>Genome-Wide Association Study</topic><topic>Humans</topic><topic>Hyperactivity</topic><topic>Insomnia</topic><topic>major depression</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Molecular Biology</topic><topic>Multifactorial Inheritance - genetics</topic><topic>Multivariate Analysis</topic><topic>multivariate regression</topic><topic>Neurosis</topic><topic>outcomes</topic><topic>Phenotypes</topic><topic>Polygenic inheritance</topic><topic>polygenic scores</topic><topic>Psychiatry</topic><topic>Psychopathology</topic><topic>Psykiatri</topic><topic>questionnaire</topic><topic>Sleep disorders</topic><topic>structural equation</topic><topic>symptoms</topic><topic>twin</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akingbuwa, Wonuola A.</creatorcontrib><creatorcontrib>Hammerschlag, Anke R.</creatorcontrib><creatorcontrib>Allegrini, Andrea G.</creatorcontrib><creatorcontrib>Sallis, Hannah</creatorcontrib><creatorcontrib>Kuja‐Halkola, Ralf</creatorcontrib><creatorcontrib>Rimfeld, Kaili</creatorcontrib><creatorcontrib>Lichtenstein, Paul</creatorcontrib><creatorcontrib>Lundstrom, Sebastian</creatorcontrib><creatorcontrib>Munafò, Marcus R.</creatorcontrib><creatorcontrib>Plomin, Robert</creatorcontrib><creatorcontrib>Nivard, Michel G.</creatorcontrib><creatorcontrib>Bartels, Meike</creatorcontrib><creatorcontrib>Middeldorp, Christel 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>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Göteborgs universitet</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</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>Akingbuwa, Wonuola A.</au><au>Hammerschlag, Anke R.</au><au>Allegrini, Andrea G.</au><au>Sallis, Hannah</au><au>Kuja‐Halkola, Ralf</au><au>Rimfeld, Kaili</au><au>Lichtenstein, Paul</au><au>Lundstrom, Sebastian</au><au>Munafò, Marcus R.</au><au>Plomin, Robert</au><au>Nivard, Michel G.</au><au>Bartels, Meike</au><au>Middeldorp, Christel M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits</atitle><jtitle>American journal of medical genetics. Part B, Neuropsychiatric genetics</jtitle><addtitle>Am J Med Genet B Neuropsychiatr Genet</addtitle><date>2023-01</date><risdate>2023</risdate><volume>192</volume><issue>1-2</issue><spage>3</spage><epage>12</epage><pages>3-12</pages><issn>1552-4841</issn><eissn>1552-485X</eissn><abstract>Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention‐deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well‐being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5–10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well‐being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well‐being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>36380638</pmid><doi>10.1002/ajmg.b.32922</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8205-0807</orcidid><orcidid>https://orcid.org/0000-0002-6218-0428</orcidid><orcidid>https://orcid.org/0000-0002-3765-2067</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1552-4841 |
| ispartof | American journal of medical genetics. Part B, Neuropsychiatric genetics, 2023-01, Vol.192 (1-2), p.3-12 |
| issn | 1552-4841 1552-485X |
| language | eng |
| recordid | cdi_swepub_primary_oai_swepub_ki_se_449576 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete; SWEPUB Freely available online |
| subjects | adhd Attention Deficit Disorder with Hyperactivity - genetics Attention Deficit Disorder with Hyperactivity - psychology Attention deficit hyperactivity disorder Bipolar disorder Body mass index Childhood childhood psychopathology Children Depressive Disorder, Major - genetics Educational attainment Genetic analysis Genetic factors Genetics Genetics & Heredity genome-wide association Genome-Wide Association Study Humans Hyperactivity Insomnia major depression Mental depression Mental disorders Molecular Biology Multifactorial Inheritance - genetics Multivariate Analysis multivariate regression Neurosis outcomes Phenotypes Polygenic inheritance polygenic scores Psychiatry Psychopathology Psykiatri questionnaire Sleep disorders structural equation symptoms twin Well being |
| title | Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T17%3A25%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multivariate%20analyses%20of%20molecular%20genetic%20associations%20between%20childhood%20psychopathology%20and%20adult%20mood%20disorders%20and%20related%20traits&rft.jtitle=American%20journal%20of%20medical%20genetics.%20Part%20B,%20Neuropsychiatric%20genetics&rft.au=Akingbuwa,%20Wonuola%20A.&rft.date=2023-01&rft.volume=192&rft.issue=1-2&rft.spage=3&rft.epage=12&rft.pages=3-12&rft.issn=1552-4841&rft.eissn=1552-485X&rft_id=info:doi/10.1002/ajmg.b.32922&rft_dat=%3Cproquest_swepu%3E2748252746%3C/proquest_swepu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2748252746&rft_id=info:pmid/36380638&rfr_iscdi=true |