An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression
Objective:Efforts to prevent depression, the leading cause of disability worldwide, have focused on a limited number of candidate factors. Using phenotypic and genomic data from over 100,000 UK Biobank participants, the authors sought to systematically screen and validate a wide range of potential m...
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Veröffentlicht in: | The American journal of psychiatry 2020-10, Vol.177 (10), p.944-954 |
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creator | Choi, Karmel W Stein, Murray B Nishimi, Kristen M Ge, Tian Coleman, Jonathan R.I Chen, Chia-Yen Ratanatharathorn, Andrew Zheutlin, Amanda B Dunn, Erin C Breen, Gerome Koenen, Karestan C Smoller, Jordan W |
description | Objective:Efforts to prevent depression, the leading cause of disability worldwide, have focused on a limited number of candidate factors. Using phenotypic and genomic data from over 100,000 UK Biobank participants, the authors sought to systematically screen and validate a wide range of potential modifiable factors for depression.Methods:Baseline data were extracted for 106 modifiable factors, including lifestyle (e.g., exercise, sleep, media, diet), social (e.g., support, engagement), and environmental (e.g., green space, pollution) variables. Incident depression was defined as minimal depressive symptoms at baseline and clinically significant depression at follow-up. At-risk individuals for incident depression were identified by polygenic risk scores or by reported traumatic life events. An exposure-wide association scan was conducted to identify factors associated with incident depression in the full sample and among at-risk individuals. Two-sample Mendelian randomization was then used to validate potentially causal relationships between identified factors and depression.Results:Numerous factors across social, sleep, media, dietary, and exercise-related domains were prospectively associated with depression, even among at-risk individuals. However, only a subset of factors was supported by Mendelian randomization evidence, including confiding in others (odds ratio=0.76, 95% CI=0.67, 0.86), television watching time (odds ratio=1.09, 95% CI=1.05, 1.13), and daytime napping (odds ratio=1.34, 95% CI=1.17, 1.53).Conclusions:Using a two-stage approach, this study validates several actionable targets for preventing depression. It also demonstrates that not all factors associated with depression in observational research may translate into robust targets for prevention. A large-scale exposure-wide approach combined with genetically informed methods for causal inference may help prioritize strategies for multimodal prevention in psychiatry. |
doi_str_mv | 10.1176/appi.ajp.2020.19111158 |
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Using phenotypic and genomic data from over 100,000 UK Biobank participants, the authors sought to systematically screen and validate a wide range of potential modifiable factors for depression.Methods:Baseline data were extracted for 106 modifiable factors, including lifestyle (e.g., exercise, sleep, media, diet), social (e.g., support, engagement), and environmental (e.g., green space, pollution) variables. Incident depression was defined as minimal depressive symptoms at baseline and clinically significant depression at follow-up. At-risk individuals for incident depression were identified by polygenic risk scores or by reported traumatic life events. An exposure-wide association scan was conducted to identify factors associated with incident depression in the full sample and among at-risk individuals. Two-sample Mendelian randomization was then used to validate potentially causal relationships between identified factors and depression.Results:Numerous factors across social, sleep, media, dietary, and exercise-related domains were prospectively associated with depression, even among at-risk individuals. However, only a subset of factors was supported by Mendelian randomization evidence, including confiding in others (odds ratio=0.76, 95% CI=0.67, 0.86), television watching time (odds ratio=1.09, 95% CI=1.05, 1.13), and daytime napping (odds ratio=1.34, 95% CI=1.17, 1.53).Conclusions:Using a two-stage approach, this study validates several actionable targets for preventing depression. It also demonstrates that not all factors associated with depression in observational research may translate into robust targets for prevention. A large-scale exposure-wide approach combined with genetically informed methods for causal inference may help prioritize strategies for multimodal prevention in psychiatry.</description><identifier>ISSN: 0002-953X</identifier><identifier>ISSN: 1535-7228</identifier><identifier>EISSN: 1535-7228</identifier><identifier>DOI: 10.1176/appi.ajp.2020.19111158</identifier><identifier>PMID: 32791893</identifier><language>eng</language><publisher>United States: American Psychiatric Association</publisher><subject>Adult ; Anxiety ; Clinical significance ; Databases as Topic ; Depression - etiology ; Depression - genetics ; Depression - prevention & control ; Diet ; Exercise - psychology ; Female ; Humans ; Male ; Mendelian Randomization Analysis ; Mental depression ; Multifactorial Inheritance - genetics ; Risk Factors ; Screen Time ; Sleep ; Sleep Hygiene ; Social networks</subject><ispartof>The American journal of psychiatry, 2020-10, Vol.177 (10), p.944-954</ispartof><rights>Copyright © 2020 by the American Psychiatric Association 2020</rights><rights>Copyright American Psychiatric Association Oct 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a486t-f9681c846d0224f5d74c98770d170d1917fdc05f5a68d53bfd6615cb7b8a7243</citedby><cites>FETCH-LOGICAL-a486t-f9681c846d0224f5d74c98770d170d1917fdc05f5a68d53bfd6615cb7b8a7243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://psychiatryonline.org/doi/epdf/10.1176/appi.ajp.2020.19111158$$EPDF$$P50$$Gappi$$H</linktopdf><linktohtml>$$Uhttps://psychiatryonline.org/doi/full/10.1176/appi.ajp.2020.19111158$$EHTML$$P50$$Gappi$$H</linktohtml><link.rule.ids>230,314,776,780,881,2842,21605,21606,21607,27901,27902,77537,77542</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32791893$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Choi, Karmel W</creatorcontrib><creatorcontrib>Stein, Murray B</creatorcontrib><creatorcontrib>Nishimi, Kristen M</creatorcontrib><creatorcontrib>Ge, Tian</creatorcontrib><creatorcontrib>Coleman, Jonathan R.I</creatorcontrib><creatorcontrib>Chen, Chia-Yen</creatorcontrib><creatorcontrib>Ratanatharathorn, Andrew</creatorcontrib><creatorcontrib>Zheutlin, Amanda B</creatorcontrib><creatorcontrib>Dunn, Erin C</creatorcontrib><creatorcontrib>Breen, Gerome</creatorcontrib><creatorcontrib>Koenen, Karestan C</creatorcontrib><creatorcontrib>Smoller, Jordan W</creatorcontrib><creatorcontrib>Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium</creatorcontrib><creatorcontrib>23andMe Research Team</creatorcontrib><title>An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression</title><title>The American journal of psychiatry</title><addtitle>Am J Psychiatry</addtitle><description>Objective:Efforts to prevent depression, the leading cause of disability worldwide, have focused on a limited number of candidate factors. Using phenotypic and genomic data from over 100,000 UK Biobank participants, the authors sought to systematically screen and validate a wide range of potential modifiable factors for depression.Methods:Baseline data were extracted for 106 modifiable factors, including lifestyle (e.g., exercise, sleep, media, diet), social (e.g., support, engagement), and environmental (e.g., green space, pollution) variables. Incident depression was defined as minimal depressive symptoms at baseline and clinically significant depression at follow-up. At-risk individuals for incident depression were identified by polygenic risk scores or by reported traumatic life events. An exposure-wide association scan was conducted to identify factors associated with incident depression in the full sample and among at-risk individuals. Two-sample Mendelian randomization was then used to validate potentially causal relationships between identified factors and depression.Results:Numerous factors across social, sleep, media, dietary, and exercise-related domains were prospectively associated with depression, even among at-risk individuals. However, only a subset of factors was supported by Mendelian randomization evidence, including confiding in others (odds ratio=0.76, 95% CI=0.67, 0.86), television watching time (odds ratio=1.09, 95% CI=1.05, 1.13), and daytime napping (odds ratio=1.34, 95% CI=1.17, 1.53).Conclusions:Using a two-stage approach, this study validates several actionable targets for preventing depression. It also demonstrates that not all factors associated with depression in observational research may translate into robust targets for prevention. A large-scale exposure-wide approach combined with genetically informed methods for causal inference may help prioritize strategies for multimodal prevention in psychiatry.</description><subject>Adult</subject><subject>Anxiety</subject><subject>Clinical significance</subject><subject>Databases as Topic</subject><subject>Depression - etiology</subject><subject>Depression - genetics</subject><subject>Depression - prevention & control</subject><subject>Diet</subject><subject>Exercise - psychology</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Mendelian Randomization Analysis</subject><subject>Mental depression</subject><subject>Multifactorial Inheritance - genetics</subject><subject>Risk Factors</subject><subject>Screen Time</subject><subject>Sleep</subject><subject>Sleep Hygiene</subject><subject>Social networks</subject><issn>0002-953X</issn><issn>1535-7228</issn><issn>1535-7228</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkV1rFDEUhoModq3-hRLwxptZ8zH5uhGWfmihRZGC3oXsJOlmmU3GZKa0_nozbruoNwZCOCfPec85vACcYLTEWPD3ZhjC0myHJUGkphSuh8lnYIEZZY0gRD4HC4QQaRSj34_Aq1K2NURUkJfgiBKhsFR0Ae5XEZ7fD6lM2TXfgnXQRAuvXbSuDybCrzVMu_DTjCFFuBqGnEy3gWOCl9bFMfiHEG_hdbLBB7PuHbww3ZhygT5lOG4c_JLd3QzW6uThmRuyK6VGr8ELb_ri3jy-x-Dm4vzm9FNz9fnj5enqqjGt5GPjFZe4ky23iJDWMyvaTkkhkMXzVVh42yHmmeHSMrr2lnPMurVYSyNIS4_Bh73sMK13znZ1lGx6PeSwM_lBJxP03z8xbPRtutOKcowVrQLvHgVy-jG5MupdKJ3rexNdmoquPdpWMqJERd_-g27TlGPdrlIcYcQ4mSm-p7qcSsnOH4bBSM_e6tlbXb3Vs7f6ydtaePLnKoeyJzMrQPfAb4FD7__I_gKidrQX</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Choi, Karmel W</creator><creator>Stein, Murray B</creator><creator>Nishimi, Kristen M</creator><creator>Ge, Tian</creator><creator>Coleman, Jonathan R.I</creator><creator>Chen, Chia-Yen</creator><creator>Ratanatharathorn, Andrew</creator><creator>Zheutlin, Amanda B</creator><creator>Dunn, Erin C</creator><creator>Breen, Gerome</creator><creator>Koenen, Karestan C</creator><creator>Smoller, Jordan W</creator><general>American Psychiatric Association</general><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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20201001</creationdate><title>An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression</title><author>Choi, Karmel W ; Stein, Murray B ; Nishimi, Kristen M ; Ge, Tian ; Coleman, Jonathan R.I ; Chen, Chia-Yen ; Ratanatharathorn, Andrew ; Zheutlin, Amanda B ; Dunn, Erin C ; Breen, Gerome ; Koenen, Karestan C ; Smoller, Jordan W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a486t-f9681c846d0224f5d74c98770d170d1917fdc05f5a68d53bfd6615cb7b8a7243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Anxiety</topic><topic>Clinical significance</topic><topic>Databases as Topic</topic><topic>Depression - etiology</topic><topic>Depression - genetics</topic><topic>Depression - prevention & control</topic><topic>Diet</topic><topic>Exercise - psychology</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Mendelian Randomization Analysis</topic><topic>Mental depression</topic><topic>Multifactorial Inheritance - genetics</topic><topic>Risk Factors</topic><topic>Screen Time</topic><topic>Sleep</topic><topic>Sleep Hygiene</topic><topic>Social networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choi, Karmel W</creatorcontrib><creatorcontrib>Stein, Murray B</creatorcontrib><creatorcontrib>Nishimi, Kristen M</creatorcontrib><creatorcontrib>Ge, Tian</creatorcontrib><creatorcontrib>Coleman, Jonathan R.I</creatorcontrib><creatorcontrib>Chen, Chia-Yen</creatorcontrib><creatorcontrib>Ratanatharathorn, Andrew</creatorcontrib><creatorcontrib>Zheutlin, Amanda B</creatorcontrib><creatorcontrib>Dunn, Erin C</creatorcontrib><creatorcontrib>Breen, Gerome</creatorcontrib><creatorcontrib>Koenen, Karestan C</creatorcontrib><creatorcontrib>Smoller, Jordan W</creatorcontrib><creatorcontrib>Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium</creatorcontrib><creatorcontrib>23andMe Research Team</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Choi, Karmel W</au><au>Stein, Murray B</au><au>Nishimi, Kristen M</au><au>Ge, Tian</au><au>Coleman, Jonathan R.I</au><au>Chen, Chia-Yen</au><au>Ratanatharathorn, Andrew</au><au>Zheutlin, Amanda B</au><au>Dunn, Erin C</au><au>Breen, Gerome</au><au>Koenen, Karestan C</au><au>Smoller, Jordan W</au><aucorp>Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium</aucorp><aucorp>23andMe Research Team</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression</atitle><jtitle>The American journal of psychiatry</jtitle><addtitle>Am J Psychiatry</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>177</volume><issue>10</issue><spage>944</spage><epage>954</epage><pages>944-954</pages><issn>0002-953X</issn><issn>1535-7228</issn><eissn>1535-7228</eissn><abstract>Objective:Efforts to prevent depression, the leading cause of disability worldwide, have focused on a limited number of candidate factors. Using phenotypic and genomic data from over 100,000 UK Biobank participants, the authors sought to systematically screen and validate a wide range of potential modifiable factors for depression.Methods:Baseline data were extracted for 106 modifiable factors, including lifestyle (e.g., exercise, sleep, media, diet), social (e.g., support, engagement), and environmental (e.g., green space, pollution) variables. Incident depression was defined as minimal depressive symptoms at baseline and clinically significant depression at follow-up. At-risk individuals for incident depression were identified by polygenic risk scores or by reported traumatic life events. An exposure-wide association scan was conducted to identify factors associated with incident depression in the full sample and among at-risk individuals. Two-sample Mendelian randomization was then used to validate potentially causal relationships between identified factors and depression.Results:Numerous factors across social, sleep, media, dietary, and exercise-related domains were prospectively associated with depression, even among at-risk individuals. However, only a subset of factors was supported by Mendelian randomization evidence, including confiding in others (odds ratio=0.76, 95% CI=0.67, 0.86), television watching time (odds ratio=1.09, 95% CI=1.05, 1.13), and daytime napping (odds ratio=1.34, 95% CI=1.17, 1.53).Conclusions:Using a two-stage approach, this study validates several actionable targets for preventing depression. It also demonstrates that not all factors associated with depression in observational research may translate into robust targets for prevention. A large-scale exposure-wide approach combined with genetically informed methods for causal inference may help prioritize strategies for multimodal prevention in psychiatry.</abstract><cop>United States</cop><pub>American Psychiatric Association</pub><pmid>32791893</pmid><doi>10.1176/appi.ajp.2020.19111158</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Anxiety Clinical significance Databases as Topic Depression - etiology Depression - genetics Depression - prevention & control Diet Exercise - psychology Female Humans Male Mendelian Randomization Analysis Mental depression Multifactorial Inheritance - genetics Risk Factors Screen Time Sleep Sleep Hygiene Social networks |
title | An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression |
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