Communications Biology (Jan 2021)

Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations

  • 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

DOI
https://doi.org/10.1038/s42003-020-01583-z
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 11

Abstract

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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.