Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes

Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes

Abstract Background It is unclear regarding the association between metabolomic state/genetic risk score(GRS) and brain volumes and how much of variance of brain volumes is attributable to metabolomic state or GRS. Methods Our analysis included 8635 participants (52.5% females) aged 40–70 years at b...

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Bibliographic Details
Main Authors: Xueli Zhang, Yu Huang, Shunming Liu, Shuo Ma, Min Li, Zhuoting Zhu, Wei Wang, Xiayin Zhang, Jiahao Liu, Shulin Tang, Yijun Hu, Zongyuan Ge, Honghua Yu, Mingguang He, Xianwen Shang
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Journal of Translational Medicine
Subjects:
Metabolomic profiles
Metabolomic state
Genetic risk score
Brain phenotype
Prediction value
Moderation analysis
Online Access:https://doi.org/10.1186/s12967-024-05868-3
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