Polygenic risk score increases schizophrenia liability through cognition-relevant pathways

See Calafato and Bramon (doi:10.1093/brain/awy345) for a scientific commentary on this article. Cognitive deficits accompany schizophrenia and are associated with genetic risk but the direction of causality is unclear. Using causal modelling, Toulopoulou et al. show that cognitive deficits partially...

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Veröffentlicht in:Brain (London, England : 1878) England : 1878), 2019-02, Vol.142 (2), p.471-485
Hauptverfasser: Toulopoulou, Timothea, Zhang, Xiaowei, Cherny, Stacey, Dickinson, Dwight, Berman, Karen F, Straub, Richard E, Sham, Pak, Weinberger, Daniel R
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container_title Brain (London, England : 1878)
container_volume 142
creator Toulopoulou, Timothea
Zhang, Xiaowei
Cherny, Stacey
Dickinson, Dwight
Berman, Karen F
Straub, Richard E
Sham, Pak
Weinberger, Daniel R
description See Calafato and Bramon (doi:10.1093/brain/awy345) for a scientific commentary on this article. Cognitive deficits accompany schizophrenia and are associated with genetic risk but the direction of causality is unclear. Using causal modelling, Toulopoulou et al. show that cognitive deficits partially mediate the effects of cumulative genetic risk for schizophrenia. Impaired cognition is an intermediate phenotype on the causal path to the disorder with implications for diagnosis and intervention. Abstract Cognitive deficit is thought to represent, at least in part, genetic mechanisms of risk for schizophrenia, with recent evidence from statistical modelling of twin data suggesting direct causality from the former to the latter. However, earlier evidence was based on inferences from twin not molecular genetic data and it is unclear how much genetic influence 'passes through' cognition on the way to diagnosis. Thus, we included direct measurements of genetic risk (e.g. schizophrenia polygenic risk scores) in causation models to assess the extent to which cognitive deficit mediates some of the effect of polygenic risk scores on the disorder. Causal models of family data tested relationships among key variables and allowed parsing of genetic variance components. Polygenic risk scores were calculated from summary statistics from the current largest genome-wide association study of schizophrenia and were represented as a latent trait. Cognition was also modelled as a latent trait. Participants were 1313 members of 1078 families: 416 patients with schizophrenia, 290 unaffected siblings, and 607 controls. Modelling supported earlier findings that cognitive deficit has a putatively causal role in schizophrenia. In total, polygenic risk score explained 8.07% [confidence interval (CI) 5.45-10.74%] of schizophrenia risk in our sample. Of this, more than a third (2.71%, CI 2.41-3.85%) of the polygenic risk score influence was mediated through cognition paths, exceeding the direct influence of polygenic risk score on schizophrenia risk (1.43%, CI 0.46-3.08%). The remainder of the polygenic risk score influence (3.93%, CI 2.37-4.48%) reflected reciprocal causation between schizophrenia liability and cognition (e.g. mutual influences in a cyclical manner). Analysis of genetic variance components of schizophrenia liability indicated that 26.87% (CI 21.45-32.57%) was associated with cognition-related pathways not captured by polygenic risk score. The remaining variance in sch
doi_str_mv 10.1093/brain/awy279
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Cognitive deficits accompany schizophrenia and are associated with genetic risk but the direction of causality is unclear. Using causal modelling, Toulopoulou et al. show that cognitive deficits partially mediate the effects of cumulative genetic risk for schizophrenia. Impaired cognition is an intermediate phenotype on the causal path to the disorder with implications for diagnosis and intervention. Abstract Cognitive deficit is thought to represent, at least in part, genetic mechanisms of risk for schizophrenia, with recent evidence from statistical modelling of twin data suggesting direct causality from the former to the latter. However, earlier evidence was based on inferences from twin not molecular genetic data and it is unclear how much genetic influence 'passes through' cognition on the way to diagnosis. Thus, we included direct measurements of genetic risk (e.g. schizophrenia polygenic risk scores) in causation models to assess the extent to which cognitive deficit mediates some of the effect of polygenic risk scores on the disorder. Causal models of family data tested relationships among key variables and allowed parsing of genetic variance components. Polygenic risk scores were calculated from summary statistics from the current largest genome-wide association study of schizophrenia and were represented as a latent trait. Cognition was also modelled as a latent trait. Participants were 1313 members of 1078 families: 416 patients with schizophrenia, 290 unaffected siblings, and 607 controls. Modelling supported earlier findings that cognitive deficit has a putatively causal role in schizophrenia. In total, polygenic risk score explained 8.07% [confidence interval (CI) 5.45-10.74%] of schizophrenia risk in our sample. Of this, more than a third (2.71%, CI 2.41-3.85%) of the polygenic risk score influence was mediated through cognition paths, exceeding the direct influence of polygenic risk score on schizophrenia risk (1.43%, CI 0.46-3.08%). The remainder of the polygenic risk score influence (3.93%, CI 2.37-4.48%) reflected reciprocal causation between schizophrenia liability and cognition (e.g. mutual influences in a cyclical manner). Analysis of genetic variance components of schizophrenia liability indicated that 26.87% (CI 21.45-32.57%) was associated with cognition-related pathways not captured by polygenic risk score. The remaining variance in schizophrenia was through pathways other than cognition-related and polygenic risk score. Although our results are based on inference through statistical modelling and do not provide an absolute proof of causality, we find that cognition pathways mediate a significant part of the influence of cumulative genetic risk on schizophrenia. 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Cognitive deficits accompany schizophrenia and are associated with genetic risk but the direction of causality is unclear. Using causal modelling, Toulopoulou et al. show that cognitive deficits partially mediate the effects of cumulative genetic risk for schizophrenia. Impaired cognition is an intermediate phenotype on the causal path to the disorder with implications for diagnosis and intervention. Abstract Cognitive deficit is thought to represent, at least in part, genetic mechanisms of risk for schizophrenia, with recent evidence from statistical modelling of twin data suggesting direct causality from the former to the latter. However, earlier evidence was based on inferences from twin not molecular genetic data and it is unclear how much genetic influence 'passes through' cognition on the way to diagnosis. Thus, we included direct measurements of genetic risk (e.g. schizophrenia polygenic risk scores) in causation models to assess the extent to which cognitive deficit mediates some of the effect of polygenic risk scores on the disorder. Causal models of family data tested relationships among key variables and allowed parsing of genetic variance components. Polygenic risk scores were calculated from summary statistics from the current largest genome-wide association study of schizophrenia and were represented as a latent trait. Cognition was also modelled as a latent trait. Participants were 1313 members of 1078 families: 416 patients with schizophrenia, 290 unaffected siblings, and 607 controls. Modelling supported earlier findings that cognitive deficit has a putatively causal role in schizophrenia. In total, polygenic risk score explained 8.07% [confidence interval (CI) 5.45-10.74%] of schizophrenia risk in our sample. Of this, more than a third (2.71%, CI 2.41-3.85%) of the polygenic risk score influence was mediated through cognition paths, exceeding the direct influence of polygenic risk score on schizophrenia risk (1.43%, CI 0.46-3.08%). The remainder of the polygenic risk score influence (3.93%, CI 2.37-4.48%) reflected reciprocal causation between schizophrenia liability and cognition (e.g. mutual influences in a cyclical manner). Analysis of genetic variance components of schizophrenia liability indicated that 26.87% (CI 21.45-32.57%) was associated with cognition-related pathways not captured by polygenic risk score. The remaining variance in schizophrenia was through pathways other than cognition-related and polygenic risk score. Although our results are based on inference through statistical modelling and do not provide an absolute proof of causality, we find that cognition pathways mediate a significant part of the influence of cumulative genetic risk on schizophrenia. We estimate from our model that 33.51% (CI 27.34-43.82%) of overall genetic risk is mediated through influences on cognition, but this requires further studies and analyses as the genetics of schizophrenia becomes better characterized.</description><subject>Adult</subject><subject>Cognition - physiology</subject><subject>Female</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multifactorial Inheritance - genetics</subject><subject>Original</subject><subject>Risk Factors</subject><subject>Schizophrenia - diagnosis</subject><subject>Schizophrenia - genetics</subject><subject>Signal Transduction - genetics</subject><subject>Young Adult</subject><issn>0006-8950</issn><issn>1460-2156</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtLxDAURoMoOj52rqU7XVjnNmnTZiPI4AsEXejGTUjSdBrtJDVpHeqvtzoqunEVLjmce_k-hPYTOEmAkan0wtipWA44Z2tokqQUYpxkdB1NAIDGBctgC22H8ASQpATTTbRFICMZ0HyCHu9cM8y1NSryJjxHQTmvI2OV1yLoMM61eXNt7UdERI0R0jSmG6Ku9q6f15Fyc2s642zsdaNfhe2iVnT1UgxhF21Uogl67-vdQQ8X5_ezq_jm9vJ6dnYTq7TAXSxJgoGqsqJVkgKosgRMKoJLJqTMZU4wpJoUGSYSA6RMYsZyqGSqi5LRSpMddLrytr1c6FJp23nR8NabhfADd8Lwvz_W1HzuXjklGStYPgqOvgTevfQ6dHxhgtJNI6x2feBjmtkYKC1gRI9XqPIuBK-rnzUJ8I86-GcdfFXHiB_8Pu0H_s5_BA5XgOvb_1XvSxmYrA</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Toulopoulou, Timothea</creator><creator>Zhang, Xiaowei</creator><creator>Cherny, Stacey</creator><creator>Dickinson, Dwight</creator><creator>Berman, Karen F</creator><creator>Straub, Richard E</creator><creator>Sham, Pak</creator><creator>Weinberger, Daniel R</creator><general>Oxford University Press</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190201</creationdate><title>Polygenic risk score increases schizophrenia liability through cognition-relevant pathways</title><author>Toulopoulou, Timothea ; Zhang, Xiaowei ; Cherny, Stacey ; Dickinson, Dwight ; Berman, Karen F ; Straub, Richard E ; Sham, Pak ; Weinberger, Daniel R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c482t-b31206cdf6f1400cdd023f32d9abb7b73204e38523b20049b29970fb4e8d96fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Cognition - physiology</topic><topic>Female</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multifactorial Inheritance - genetics</topic><topic>Original</topic><topic>Risk Factors</topic><topic>Schizophrenia - diagnosis</topic><topic>Schizophrenia - genetics</topic><topic>Signal Transduction - genetics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toulopoulou, Timothea</creatorcontrib><creatorcontrib>Zhang, Xiaowei</creatorcontrib><creatorcontrib>Cherny, Stacey</creatorcontrib><creatorcontrib>Dickinson, Dwight</creatorcontrib><creatorcontrib>Berman, Karen F</creatorcontrib><creatorcontrib>Straub, Richard E</creatorcontrib><creatorcontrib>Sham, Pak</creatorcontrib><creatorcontrib>Weinberger, Daniel R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Brain (London, England : 1878)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toulopoulou, Timothea</au><au>Zhang, Xiaowei</au><au>Cherny, Stacey</au><au>Dickinson, Dwight</au><au>Berman, Karen F</au><au>Straub, Richard E</au><au>Sham, Pak</au><au>Weinberger, Daniel R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Polygenic risk score increases schizophrenia liability through cognition-relevant pathways</atitle><jtitle>Brain (London, England : 1878)</jtitle><addtitle>Brain</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>142</volume><issue>2</issue><spage>471</spage><epage>485</epage><pages>471-485</pages><issn>0006-8950</issn><eissn>1460-2156</eissn><abstract>See Calafato and Bramon (doi:10.1093/brain/awy345) for a scientific commentary on this article. Cognitive deficits accompany schizophrenia and are associated with genetic risk but the direction of causality is unclear. Using causal modelling, Toulopoulou et al. show that cognitive deficits partially mediate the effects of cumulative genetic risk for schizophrenia. Impaired cognition is an intermediate phenotype on the causal path to the disorder with implications for diagnosis and intervention. Abstract Cognitive deficit is thought to represent, at least in part, genetic mechanisms of risk for schizophrenia, with recent evidence from statistical modelling of twin data suggesting direct causality from the former to the latter. However, earlier evidence was based on inferences from twin not molecular genetic data and it is unclear how much genetic influence 'passes through' cognition on the way to diagnosis. Thus, we included direct measurements of genetic risk (e.g. schizophrenia polygenic risk scores) in causation models to assess the extent to which cognitive deficit mediates some of the effect of polygenic risk scores on the disorder. Causal models of family data tested relationships among key variables and allowed parsing of genetic variance components. Polygenic risk scores were calculated from summary statistics from the current largest genome-wide association study of schizophrenia and were represented as a latent trait. Cognition was also modelled as a latent trait. Participants were 1313 members of 1078 families: 416 patients with schizophrenia, 290 unaffected siblings, and 607 controls. Modelling supported earlier findings that cognitive deficit has a putatively causal role in schizophrenia. In total, polygenic risk score explained 8.07% [confidence interval (CI) 5.45-10.74%] of schizophrenia risk in our sample. Of this, more than a third (2.71%, CI 2.41-3.85%) of the polygenic risk score influence was mediated through cognition paths, exceeding the direct influence of polygenic risk score on schizophrenia risk (1.43%, CI 0.46-3.08%). The remainder of the polygenic risk score influence (3.93%, CI 2.37-4.48%) reflected reciprocal causation between schizophrenia liability and cognition (e.g. mutual influences in a cyclical manner). Analysis of genetic variance components of schizophrenia liability indicated that 26.87% (CI 21.45-32.57%) was associated with cognition-related pathways not captured by polygenic risk score. The remaining variance in schizophrenia was through pathways other than cognition-related and polygenic risk score. Although our results are based on inference through statistical modelling and do not provide an absolute proof of causality, we find that cognition pathways mediate a significant part of the influence of cumulative genetic risk on schizophrenia. We estimate from our model that 33.51% (CI 27.34-43.82%) of overall genetic risk is mediated through influences on cognition, but this requires further studies and analyses as the genetics of schizophrenia becomes better characterized.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>30535067</pmid><doi>10.1093/brain/awy279</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Cognition - physiology
Female
Genetic Predisposition to Disease - genetics
Humans
Male
Middle Aged
Multifactorial Inheritance - genetics
Original
Risk Factors
Schizophrenia - diagnosis
Schizophrenia - genetics
Signal Transduction - genetics
Young Adult
title Polygenic risk score increases schizophrenia liability through cognition-relevant pathways
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