Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke

Stroke risk is influenced by genetic and lifestyle factors and previously a genomic risk score (GRS) for stroke was proposed, albeit with limited predictive power. Here, Abraham et al. develop a metaGRS that is composed of several stroke-related GRSs and demonstrate improved predictive power compare...

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Autores principales:	Gad Abraham, Rainer Malik, Ekaterina Yonova-Doing, Agus Salim, Tingting Wang, John Danesh, Adam S. Butterworth, Joanna M. M. Howson, Michael Inouye, Martin Dichgans
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9a7c199b224d44308d309a590c357f39
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spelling	oai:doaj.org-article:9a7c199b224d44308d309a590c357f392021-12-02T16:58:27ZGenomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke10.1038/s41467-019-13848-12041-1723https://doaj.org/article/9a7c199b224d44308d309a590c357f392019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13848-1https://doaj.org/toc/2041-1723Stroke risk is influenced by genetic and lifestyle factors and previously a genomic risk score (GRS) for stroke was proposed, albeit with limited predictive power. Here, Abraham et al. develop a metaGRS that is composed of several stroke-related GRSs and demonstrate improved predictive power compared with individual GRS or classic risk factors.Gad AbrahamRainer MalikEkaterina Yonova-DoingAgus SalimTingting WangJohn DaneshAdam S. ButterworthJoanna M. M. HowsonMichael InouyeMartin DichgansNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gad Abraham Rainer Malik Ekaterina Yonova-Doing Agus Salim Tingting Wang John Danesh Adam S. Butterworth Joanna M. M. Howson Michael Inouye Martin Dichgans Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke
description	Stroke risk is influenced by genetic and lifestyle factors and previously a genomic risk score (GRS) for stroke was proposed, albeit with limited predictive power. Here, Abraham et al. develop a metaGRS that is composed of several stroke-related GRSs and demonstrate improved predictive power compared with individual GRS or classic risk factors.
format	article
author	Gad Abraham Rainer Malik Ekaterina Yonova-Doing Agus Salim Tingting Wang John Danesh Adam S. Butterworth Joanna M. M. Howson Michael Inouye Martin Dichgans
author_facet	Gad Abraham Rainer Malik Ekaterina Yonova-Doing Agus Salim Tingting Wang John Danesh Adam S. Butterworth Joanna M. M. Howson Michael Inouye Martin Dichgans
author_sort	Gad Abraham
title	Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke
title_short	Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke
title_full	Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke
title_fullStr	Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke
title_full_unstemmed	Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke
title_sort	genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/9a7c199b224d44308d309a590c357f39
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Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke

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