Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures
Substantial clinical heterogeneity of major depressive disorder (MDD) suggests it may group together individuals with diverse aetiologies. Identifying distinct subtypes should lead to more effective diagnosis and treatment, while providing more useful targets for further research. Genetic and clinic...
Gespeichert in:
Veröffentlicht in: | Psychological medicine 2020-07, Vol.50 (10), p.1653-1662 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1662 |
---|---|
container_issue | 10 |
container_start_page | 1653 |
container_title | Psychological medicine |
container_volume | 50 |
creator | Harris, Mathew A. Shen, Xueyi Cox, Simon R. Gibson, Jude Adams, Mark J. Clarke, Toni-Kim Deary, Ian J. Lawrie, Stephen M. McIntosh, Andrew M. Whalley, Heather C. |
description | Substantial clinical heterogeneity of major depressive disorder (MDD) suggests it may group together individuals with diverse aetiologies. Identifying distinct subtypes should lead to more effective diagnosis and treatment, while providing more useful targets for further research. Genetic and clinical overlap between MDD and schizophrenia (SCZ) suggests an MDD subtype may share underlying mechanisms with SCZ.
The present study investigated whether a neurobiologically distinct subtype of MDD could be identified by SCZ polygenic risk score (PRS). We explored interactive effects between SCZ PRS and MDD case/control status on a range of cortical, subcortical and white matter metrics among 2370 male and 2574 female UK Biobank participants.
There was a significant SCZ PRS by MDD interaction for rostral anterior cingulate cortex (RACC) thickness (β = 0.191, q = 0.043). This was driven by a positive association between SCZ PRS and RACC thickness among MDD cases (β = 0.098, p = 0.026), compared to a negative association among controls (β = -0.087, p = 0.002). MDD cases with low SCZ PRS showed thinner RACC, although the opposite difference for high-SCZ-PRS cases was not significant. There were nominal interactions for other brain metrics, but none remained significant after correcting for multiple comparisons.
Our significant results indicate that MDD case-control differences in RACC thickness vary as a function of SCZ PRS. Although this was not the case for most other brain measures assessed, our specific findings still provide some further evidence that MDD in the presence of high genetic risk for SCZ is subtly neurobiologically distinct from MDD in general. |
doi_str_mv | 10.1017/S003329171900165X |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2259898430</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S003329171900165X</cupid><sourcerecordid>2259898430</sourcerecordid><originalsourceid>FETCH-LOGICAL-c416t-2d0f6fd0fc3556aa7e500d427819769a6b92622e62971ad0b84ff93b4ac95ac73</originalsourceid><addsrcrecordid>eNp1kU9LHDEYh0Ox1FX7AbxIwEsv0-Z_JkeRtgpCD7bgbcgkmTXrzGR8MyNsP32zuLWg9JKE_J73SeCH0Cklnymh-sstIZwzQzU1hFAl796hFRXKVLXR9QFa7eJqlx-io5w3heFUsA_okJeDroVYIbidwc6x28ZxjQe7SYB9mCDkHJ8C9jEn8AFwu8VT6rfrMEaHIeYH3BUyu_v4O033UK4tjiOG0BdZGvGccJ5hcfMCtsct2BIOwealmE_Q-872OXzc78fo17evPy-vqpsf368vL24qJ6iaK-ZJp7qyOC6lslYHSYgXTNfUaGWsag1TjAXFjKbWk7YWXWd4K6wz0jrNj9GnZ-8E6XEJeW6GmF3oezuGtOSGMWlqUwtOCnr-Ct2kBcbyu4aVXBotjCwUfaYcpJwhdM0EcbCwbShpdoU0bwopM2d789IOwb9M_G2gAHwvtUML0a_Dv7f_r_0D5U-W6g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2430597495</pqid></control><display><type>article</type><title>Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures</title><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>Cambridge Journals</source><creator>Harris, Mathew A. ; Shen, Xueyi ; Cox, Simon R. ; Gibson, Jude ; Adams, Mark J. ; Clarke, Toni-Kim ; Deary, Ian J. ; Lawrie, Stephen M. ; McIntosh, Andrew M. ; Whalley, Heather C.</creator><creatorcontrib>Harris, Mathew A. ; Shen, Xueyi ; Cox, Simon R. ; Gibson, Jude ; Adams, Mark J. ; Clarke, Toni-Kim ; Deary, Ian J. ; Lawrie, Stephen M. ; McIntosh, Andrew M. ; Whalley, Heather C.</creatorcontrib><description>Substantial clinical heterogeneity of major depressive disorder (MDD) suggests it may group together individuals with diverse aetiologies. Identifying distinct subtypes should lead to more effective diagnosis and treatment, while providing more useful targets for further research. Genetic and clinical overlap between MDD and schizophrenia (SCZ) suggests an MDD subtype may share underlying mechanisms with SCZ.
The present study investigated whether a neurobiologically distinct subtype of MDD could be identified by SCZ polygenic risk score (PRS). We explored interactive effects between SCZ PRS and MDD case/control status on a range of cortical, subcortical and white matter metrics among 2370 male and 2574 female UK Biobank participants.
There was a significant SCZ PRS by MDD interaction for rostral anterior cingulate cortex (RACC) thickness (β = 0.191, q = 0.043). This was driven by a positive association between SCZ PRS and RACC thickness among MDD cases (β = 0.098, p = 0.026), compared to a negative association among controls (β = -0.087, p = 0.002). MDD cases with low SCZ PRS showed thinner RACC, although the opposite difference for high-SCZ-PRS cases was not significant. There were nominal interactions for other brain metrics, but none remained significant after correcting for multiple comparisons.
Our significant results indicate that MDD case-control differences in RACC thickness vary as a function of SCZ PRS. Although this was not the case for most other brain measures assessed, our specific findings still provide some further evidence that MDD in the presence of high genetic risk for SCZ is subtly neurobiologically distinct from MDD in general.</description><identifier>ISSN: 0033-2917</identifier><identifier>EISSN: 1469-8978</identifier><identifier>DOI: 10.1017/S003329171900165X</identifier><identifier>PMID: 31317844</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Biobanks ; Brain ; Clinical research ; Consortia ; Cortex ; Cortex (cingulate) ; Depressive personality disorders ; Genetic susceptibility ; Genetics ; Medical diagnosis ; Medical imaging ; Mental depression ; Mental disorders ; Neurobiology ; Original Articles ; Questionnaires ; Schizophrenia ; Substantia alba ; Subtypes</subject><ispartof>Psychological medicine, 2020-07, Vol.50 (10), p.1653-1662</ispartof><rights>Copyright © Cambridge University Press 2019</rights><rights>2019 This article is published under (https://creativecommons.org/licenses/by/3.0/) (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-c416t-2d0f6fd0fc3556aa7e500d427819769a6b92622e62971ad0b84ff93b4ac95ac73</citedby><cites>FETCH-LOGICAL-c416t-2d0f6fd0fc3556aa7e500d427819769a6b92622e62971ad0b84ff93b4ac95ac73</cites><orcidid>0000-0002-7745-6351 ; 0000-0002-4505-8869 ; 0000-0002-2444-5675 ; 0000-0002-1135-4141 ; 0000-0002-0538-4774 ; 0000-0002-1733-263X ; 0000-0002-0198-4588 ; 0000-0002-3745-8360 ; 0000-0002-3599-6018 ; 0000-0003-4036-3642</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S003329171900165X/type/journal_article$$EHTML$$P50$$Gcambridge$$Hfree_for_read</linktohtml><link.rule.ids>164,314,776,780,12827,27903,27904,30978,55606</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31317844$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Harris, Mathew A.</creatorcontrib><creatorcontrib>Shen, Xueyi</creatorcontrib><creatorcontrib>Cox, Simon R.</creatorcontrib><creatorcontrib>Gibson, Jude</creatorcontrib><creatorcontrib>Adams, Mark J.</creatorcontrib><creatorcontrib>Clarke, Toni-Kim</creatorcontrib><creatorcontrib>Deary, Ian J.</creatorcontrib><creatorcontrib>Lawrie, Stephen M.</creatorcontrib><creatorcontrib>McIntosh, Andrew M.</creatorcontrib><creatorcontrib>Whalley, Heather C.</creatorcontrib><title>Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures</title><title>Psychological medicine</title><addtitle>Psychol. Med</addtitle><description>Substantial clinical heterogeneity of major depressive disorder (MDD) suggests it may group together individuals with diverse aetiologies. Identifying distinct subtypes should lead to more effective diagnosis and treatment, while providing more useful targets for further research. Genetic and clinical overlap between MDD and schizophrenia (SCZ) suggests an MDD subtype may share underlying mechanisms with SCZ.
The present study investigated whether a neurobiologically distinct subtype of MDD could be identified by SCZ polygenic risk score (PRS). We explored interactive effects between SCZ PRS and MDD case/control status on a range of cortical, subcortical and white matter metrics among 2370 male and 2574 female UK Biobank participants.
There was a significant SCZ PRS by MDD interaction for rostral anterior cingulate cortex (RACC) thickness (β = 0.191, q = 0.043). This was driven by a positive association between SCZ PRS and RACC thickness among MDD cases (β = 0.098, p = 0.026), compared to a negative association among controls (β = -0.087, p = 0.002). MDD cases with low SCZ PRS showed thinner RACC, although the opposite difference for high-SCZ-PRS cases was not significant. There were nominal interactions for other brain metrics, but none remained significant after correcting for multiple comparisons.
Our significant results indicate that MDD case-control differences in RACC thickness vary as a function of SCZ PRS. Although this was not the case for most other brain measures assessed, our specific findings still provide some further evidence that MDD in the presence of high genetic risk for SCZ is subtly neurobiologically distinct from MDD in general.</description><subject>Biobanks</subject><subject>Brain</subject><subject>Clinical research</subject><subject>Consortia</subject><subject>Cortex</subject><subject>Cortex (cingulate)</subject><subject>Depressive personality disorders</subject><subject>Genetic susceptibility</subject><subject>Genetics</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Neurobiology</subject><subject>Original Articles</subject><subject>Questionnaires</subject><subject>Schizophrenia</subject><subject>Substantia alba</subject><subject>Subtypes</subject><issn>0033-2917</issn><issn>1469-8978</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>IKXGN</sourceid><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kU9LHDEYh0Ox1FX7AbxIwEsv0-Z_JkeRtgpCD7bgbcgkmTXrzGR8MyNsP32zuLWg9JKE_J73SeCH0Cklnymh-sstIZwzQzU1hFAl796hFRXKVLXR9QFa7eJqlx-io5w3heFUsA_okJeDroVYIbidwc6x28ZxjQe7SYB9mCDkHJ8C9jEn8AFwu8VT6rfrMEaHIeYH3BUyu_v4O033UK4tjiOG0BdZGvGccJ5hcfMCtsct2BIOwealmE_Q-872OXzc78fo17evPy-vqpsf368vL24qJ6iaK-ZJp7qyOC6lslYHSYgXTNfUaGWsag1TjAXFjKbWk7YWXWd4K6wz0jrNj9GnZ-8E6XEJeW6GmF3oezuGtOSGMWlqUwtOCnr-Ct2kBcbyu4aVXBotjCwUfaYcpJwhdM0EcbCwbShpdoU0bwopM2d789IOwb9M_G2gAHwvtUML0a_Dv7f_r_0D5U-W6g</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>Harris, Mathew A.</creator><creator>Shen, Xueyi</creator><creator>Cox, Simon R.</creator><creator>Gibson, Jude</creator><creator>Adams, Mark J.</creator><creator>Clarke, Toni-Kim</creator><creator>Deary, Ian J.</creator><creator>Lawrie, Stephen M.</creator><creator>McIntosh, Andrew M.</creator><creator>Whalley, Heather C.</creator><general>Cambridge University Press</general><scope>IKXGN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7745-6351</orcidid><orcidid>https://orcid.org/0000-0002-4505-8869</orcidid><orcidid>https://orcid.org/0000-0002-2444-5675</orcidid><orcidid>https://orcid.org/0000-0002-1135-4141</orcidid><orcidid>https://orcid.org/0000-0002-0538-4774</orcidid><orcidid>https://orcid.org/0000-0002-1733-263X</orcidid><orcidid>https://orcid.org/0000-0002-0198-4588</orcidid><orcidid>https://orcid.org/0000-0002-3745-8360</orcidid><orcidid>https://orcid.org/0000-0002-3599-6018</orcidid><orcidid>https://orcid.org/0000-0003-4036-3642</orcidid></search><sort><creationdate>202007</creationdate><title>Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures</title><author>Harris, Mathew A. ; Shen, Xueyi ; Cox, Simon R. ; Gibson, Jude ; Adams, Mark J. ; Clarke, Toni-Kim ; Deary, Ian J. ; Lawrie, Stephen M. ; McIntosh, Andrew M. ; Whalley, Heather C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-2d0f6fd0fc3556aa7e500d427819769a6b92622e62971ad0b84ff93b4ac95ac73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biobanks</topic><topic>Brain</topic><topic>Clinical research</topic><topic>Consortia</topic><topic>Cortex</topic><topic>Cortex (cingulate)</topic><topic>Depressive personality disorders</topic><topic>Genetic susceptibility</topic><topic>Genetics</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Neurobiology</topic><topic>Original Articles</topic><topic>Questionnaires</topic><topic>Schizophrenia</topic><topic>Substantia alba</topic><topic>Subtypes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Harris, Mathew A.</creatorcontrib><creatorcontrib>Shen, Xueyi</creatorcontrib><creatorcontrib>Cox, Simon R.</creatorcontrib><creatorcontrib>Gibson, Jude</creatorcontrib><creatorcontrib>Adams, Mark J.</creatorcontrib><creatorcontrib>Clarke, Toni-Kim</creatorcontrib><creatorcontrib>Deary, Ian J.</creatorcontrib><creatorcontrib>Lawrie, Stephen M.</creatorcontrib><creatorcontrib>McIntosh, Andrew M.</creatorcontrib><creatorcontrib>Whalley, Heather C.</creatorcontrib><collection>Cambridge Journals Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Psychological medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Harris, Mathew A.</au><au>Shen, Xueyi</au><au>Cox, Simon R.</au><au>Gibson, Jude</au><au>Adams, Mark J.</au><au>Clarke, Toni-Kim</au><au>Deary, Ian J.</au><au>Lawrie, Stephen M.</au><au>McIntosh, Andrew M.</au><au>Whalley, Heather C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures</atitle><jtitle>Psychological medicine</jtitle><addtitle>Psychol. Med</addtitle><date>2020-07</date><risdate>2020</risdate><volume>50</volume><issue>10</issue><spage>1653</spage><epage>1662</epage><pages>1653-1662</pages><issn>0033-2917</issn><eissn>1469-8978</eissn><abstract>Substantial clinical heterogeneity of major depressive disorder (MDD) suggests it may group together individuals with diverse aetiologies. Identifying distinct subtypes should lead to more effective diagnosis and treatment, while providing more useful targets for further research. Genetic and clinical overlap between MDD and schizophrenia (SCZ) suggests an MDD subtype may share underlying mechanisms with SCZ.
The present study investigated whether a neurobiologically distinct subtype of MDD could be identified by SCZ polygenic risk score (PRS). We explored interactive effects between SCZ PRS and MDD case/control status on a range of cortical, subcortical and white matter metrics among 2370 male and 2574 female UK Biobank participants.
There was a significant SCZ PRS by MDD interaction for rostral anterior cingulate cortex (RACC) thickness (β = 0.191, q = 0.043). This was driven by a positive association between SCZ PRS and RACC thickness among MDD cases (β = 0.098, p = 0.026), compared to a negative association among controls (β = -0.087, p = 0.002). MDD cases with low SCZ PRS showed thinner RACC, although the opposite difference for high-SCZ-PRS cases was not significant. There were nominal interactions for other brain metrics, but none remained significant after correcting for multiple comparisons.
Our significant results indicate that MDD case-control differences in RACC thickness vary as a function of SCZ PRS. Although this was not the case for most other brain measures assessed, our specific findings still provide some further evidence that MDD in the presence of high genetic risk for SCZ is subtly neurobiologically distinct from MDD in general.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>31317844</pmid><doi>10.1017/S003329171900165X</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7745-6351</orcidid><orcidid>https://orcid.org/0000-0002-4505-8869</orcidid><orcidid>https://orcid.org/0000-0002-2444-5675</orcidid><orcidid>https://orcid.org/0000-0002-1135-4141</orcidid><orcidid>https://orcid.org/0000-0002-0538-4774</orcidid><orcidid>https://orcid.org/0000-0002-1733-263X</orcidid><orcidid>https://orcid.org/0000-0002-0198-4588</orcidid><orcidid>https://orcid.org/0000-0002-3745-8360</orcidid><orcidid>https://orcid.org/0000-0002-3599-6018</orcidid><orcidid>https://orcid.org/0000-0003-4036-3642</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0033-2917 |
ispartof | Psychological medicine, 2020-07, Vol.50 (10), p.1653-1662 |
issn | 0033-2917 1469-8978 |
language | eng |
recordid | cdi_proquest_miscellaneous_2259898430 |
source | Applied Social Sciences Index & Abstracts (ASSIA); Cambridge Journals |
subjects | Biobanks Brain Clinical research Consortia Cortex Cortex (cingulate) Depressive personality disorders Genetic susceptibility Genetics Medical diagnosis Medical imaging Mental depression Mental disorders Neurobiology Original Articles Questionnaires Schizophrenia Substantia alba Subtypes |
title | Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T14%3A55%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Stratifying%20major%20depressive%20disorder%20by%20polygenic%20risk%20for%20schizophrenia%20in%20relation%20to%20structural%20brain%20measures&rft.jtitle=Psychological%20medicine&rft.au=Harris,%20Mathew%20A.&rft.date=2020-07&rft.volume=50&rft.issue=10&rft.spage=1653&rft.epage=1662&rft.pages=1653-1662&rft.issn=0033-2917&rft.eissn=1469-8978&rft_id=info:doi/10.1017/S003329171900165X&rft_dat=%3Cproquest_cross%3E2259898430%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2430597495&rft_id=info:pmid/31317844&rft_cupid=10_1017_S003329171900165X&rfr_iscdi=true |