Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations

Here, the authors introduce a metabolome-wide association study that combines a genome-wide association study of cerebrospinal fluid metabolites with publicly available genome-wide association study summary statistics of neurological and psychiatric conditions to identify 19 significant CSF metaboli...

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Autores principales:	Daniel J. Panyard, Kyeong Mo Kim, Burcu F. Darst, Yuetiva K. Deming, Xiaoyuan Zhong, Yuchang Wu, Hyunseung Kang, Cynthia M. Carlsson, Sterling C. Johnson, Sanjay Asthana, Corinne D. Engelman, Qiongshi Lu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/1b5dcafd03284ab0aa2ed73bbd53daff
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spelling	oai:doaj.org-article:1b5dcafd03284ab0aa2ed73bbd53daff2021-12-02T14:01:31ZCerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations10.1038/s42003-020-01583-z2399-3642https://doaj.org/article/1b5dcafd03284ab0aa2ed73bbd53daff2021-01-01T00:00:00Zhttps://doi.org/10.1038/s42003-020-01583-zhttps://doaj.org/toc/2399-3642Here, the authors introduce a metabolome-wide association study that combines a genome-wide association study of cerebrospinal fluid metabolites with publicly available genome-wide association study summary statistics of neurological and psychiatric conditions to identify 19 significant CSF metabolite-phenotype associations.Daniel J. PanyardKyeong Mo KimBurcu F. DarstYuetiva K. DemingXiaoyuan ZhongYuchang WuHyunseung KangCynthia M. CarlssonSterling C. JohnsonSanjay AsthanaCorinne D. EngelmanQiongshi LuNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Daniel J. Panyard Kyeong Mo Kim Burcu F. Darst Yuetiva K. Deming Xiaoyuan Zhong Yuchang Wu Hyunseung Kang Cynthia M. Carlsson Sterling C. Johnson Sanjay Asthana Corinne D. Engelman Qiongshi Lu Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
description	Here, the authors introduce a metabolome-wide association study that combines a genome-wide association study of cerebrospinal fluid metabolites with publicly available genome-wide association study summary statistics of neurological and psychiatric conditions to identify 19 significant CSF metabolite-phenotype associations.
format	article
author	Daniel J. Panyard Kyeong Mo Kim Burcu F. Darst Yuetiva K. Deming Xiaoyuan Zhong Yuchang Wu Hyunseung Kang Cynthia M. Carlsson Sterling C. Johnson Sanjay Asthana Corinne D. Engelman Qiongshi Lu
author_facet	Daniel J. Panyard Kyeong Mo Kim Burcu F. Darst Yuetiva K. Deming Xiaoyuan Zhong Yuchang Wu Hyunseung Kang Cynthia M. Carlsson Sterling C. Johnson Sanjay Asthana Corinne D. Engelman Qiongshi Lu
author_sort	Daniel J. Panyard
title	Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
title_short	Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
title_full	Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
title_fullStr	Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
title_full_unstemmed	Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
title_sort	cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1b5dcafd03284ab0aa2ed73bbd53daff
work_keys_str_mv	AT danieljpanyard cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT kyeongmokim cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT burcufdarst cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT yuetivakdeming cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT xiaoyuanzhong cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT yuchangwu cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT hyunseungkang cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT cynthiamcarlsson cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT sterlingcjohnson cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT sanjayasthana cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT corinnedengelman cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations AT qiongshilu cerebrospinalfluidmetabolomicsidentifies19brainrelatedphenotypeassociations
_version_	1718392125157015552

Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations

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