COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION
Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicti...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hubert, John [verfasserIn] |
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E-Artikel |
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Englisch |
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2019transfer abstract |
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2 |
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Enthalten in: Temperature-dependence laws of absorption line shape parameters of the CO - Wilzewski, J.S. ELSEVIER, 2017, ENP : the journal of the European College of Neuropsychopharmacology, Amsterdam |
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| Übergeordnetes Werk: |
volume:29 ; year:2019 ; pages:964-965 ; extent:2 |
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| DOI / URN: |
10.1016/j.euroneuro.2017.08.327 |
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| 520 | |a Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. | ||
| 520 | |a Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. | ||
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| 700 | 1 | |a Escott-Price, Valentina |4 oth | |
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10.1016/j.euroneuro.2017.08.327 doi GBV00000000000688.pica (DE-627)ELV046225781 (ELSEVIER)S0924-977X(17)30791-5 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Hubert, John verfasserin aut COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Walters, James T.R. oth Pardiñas, Antonio oth Holmans, Peter oth Pocklington, Andrew oth O'Donovan, Michael oth Escott-Price, Valentina oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:964-965 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.327 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 964-965 2 29.2019, S964-, (2 S.) |
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10.1016/j.euroneuro.2017.08.327 doi GBV00000000000688.pica (DE-627)ELV046225781 (ELSEVIER)S0924-977X(17)30791-5 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Hubert, John verfasserin aut COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Walters, James T.R. oth Pardiñas, Antonio oth Holmans, Peter oth Pocklington, Andrew oth O'Donovan, Michael oth Escott-Price, Valentina oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:964-965 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.327 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 964-965 2 29.2019, S964-, (2 S.) |
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10.1016/j.euroneuro.2017.08.327 doi GBV00000000000688.pica (DE-627)ELV046225781 (ELSEVIER)S0924-977X(17)30791-5 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Hubert, John verfasserin aut COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Walters, James T.R. oth Pardiñas, Antonio oth Holmans, Peter oth Pocklington, Andrew oth O'Donovan, Michael oth Escott-Price, Valentina oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:964-965 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.327 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 964-965 2 29.2019, S964-, (2 S.) |
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10.1016/j.euroneuro.2017.08.327 doi GBV00000000000688.pica (DE-627)ELV046225781 (ELSEVIER)S0924-977X(17)30791-5 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Hubert, John verfasserin aut COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Walters, James T.R. oth Pardiñas, Antonio oth Holmans, Peter oth Pocklington, Andrew oth O'Donovan, Michael oth Escott-Price, Valentina oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:964-965 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.327 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 964-965 2 29.2019, S964-, (2 S.) |
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10.1016/j.euroneuro.2017.08.327 doi GBV00000000000688.pica (DE-627)ELV046225781 (ELSEVIER)S0924-977X(17)30791-5 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Hubert, John verfasserin aut COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. Walters, James T.R. oth Pardiñas, Antonio oth Holmans, Peter oth Pocklington, Andrew oth O'Donovan, Michael oth Escott-Price, Valentina oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:964-965 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.327 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 964-965 2 29.2019, S964-, (2 S.) |
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combining polygenic risk scores across several traits can improve schizophrenia risk prediction |
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COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION |
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Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. |
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Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. |
| abstract_unstemmed |
Schizophrenia is a highly heritable disorder and is known to have a substantial common polygenetic component . The polygenic risk score approach allows common genetic liability to the disorder to be directly estimated in individuals regardless of their affected status. In addition to weakly predicting schizophrenia affected status in independent case-control datasets, polygenic risk score approaches have revealed significant shared SNP heritability between schizophrenia and multiple psychiatric and behavioural traits ,. We therefore postulated that combining risk score profiles derived from several traits might improve the prediction of schizophrenia risk. |
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| title_short |
COMBINING POLYGENIC RISK SCORES ACROSS SEVERAL TRAITS CAN IMPROVE SCHIZOPHRENIA RISK PREDICTION |
| url |
https://doi.org/10.1016/j.euroneuro.2017.08.327 |
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Walters, James T.R. Pardiñas, Antonio Holmans, Peter Pocklington, Andrew O'Donovan, Michael Escott-Price, Valentina |
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| doi_str |
10.1016/j.euroneuro.2017.08.327 |
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2024-07-06T19:39:55.842Z |
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