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
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Acceso en línea:https://doaj.org/article/1b5dcafd03284ab0aa2ed73bbd53daff
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Sumario: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.