Genome-wide association studies in schizophrenia: Recent advances, challenges and future perspective
Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through...
Ausführliche Beschreibung
Autor*in: |
Dennison, Charlotte A. [verfasserIn] |
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Englisch |
Erschienen: |
2020transfer abstract |
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9 |
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Enthalten in: Idiopathic Environmental Intolerance: A Treatment Model - Van den Bergh, Omer ELSEVIER, 2021, an international multidisciplinary journal, Amsterdam [u.a.] |
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volume:217 ; year:2020 ; pages:4-12 ; extent:9 |
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DOI / URN: |
10.1016/j.schres.2019.10.048 |
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10.1016/j.schres.2019.10.048 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001010.pica (DE-627)ELV05033204X (ELSEVIER)S0920-9964(19)30483-9 DE-627 ger DE-627 rakwb eng 150 VZ Dennison, Charlotte A. verfasserin aut Genome-wide association studies in schizophrenia: Recent advances, challenges and future perspective 2020transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through improved classification and targeted interventions. In this article we review the current status of the GWAS literature in schizophrenia including functional annotation methods and polygenic risk scoring, as well as the directions and challenges of future research. We consider recent findings in East Asian populations and the advancements from trans-ancestry analysis, as well as the insights gained from research looking across psychiatric disorders. Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through improved classification and targeted interventions. In this article we review the current status of the GWAS literature in schizophrenia including functional annotation methods and polygenic risk scoring, as well as the directions and challenges of future research. We consider recent findings in East Asian populations and the advancements from trans-ancestry analysis, as well as the insights gained from research looking across psychiatric disorders. GWAS Elsevier Prediction Elsevier Schizophrenia Elsevier Polygenic risk Elsevier Annotation Elsevier Legge, Sophie E. oth Pardiñas, Antonio F. oth Walters, James T.R. oth Enthalten in Elsevier Science Van den Bergh, Omer ELSEVIER Idiopathic Environmental Intolerance: A Treatment Model 2021 an international multidisciplinary journal Amsterdam [u.a.] (DE-627)ELV005829860 volume:217 year:2020 pages:4-12 extent:9 https://doi.org/10.1016/j.schres.2019.10.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 217 2020 4-12 9 |
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Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through improved classification and targeted interventions. In this article we review the current status of the GWAS literature in schizophrenia including functional annotation methods and polygenic risk scoring, as well as the directions and challenges of future research. We consider recent findings in East Asian populations and the advancements from trans-ancestry analysis, as well as the insights gained from research looking across psychiatric disorders. |
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Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through improved classification and targeted interventions. In this article we review the current status of the GWAS literature in schizophrenia including functional annotation methods and polygenic risk scoring, as well as the directions and challenges of future research. We consider recent findings in East Asian populations and the advancements from trans-ancestry analysis, as well as the insights gained from research looking across psychiatric disorders. |
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Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through improved classification and targeted interventions. In this article we review the current status of the GWAS literature in schizophrenia including functional annotation methods and polygenic risk scoring, as well as the directions and challenges of future research. We consider recent findings in East Asian populations and the advancements from trans-ancestry analysis, as well as the insights gained from research looking across psychiatric disorders. |
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10.1016/j.schres.2019.10.048 |
up_date |
2024-07-06T17:14:11.354Z |
_version_ |
1803850666585620480 |
fullrecord_marcxml |
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