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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Detalles Bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2024-12-01
Series:	Journal of Translational Medicine
Assuntos:	Metabolomic profiles Metabolomic state Genetic risk score Brain phenotype Prediction value Moderation analysis
Acceso en liña:	https://doi.org/10.1186/s12967-024-05868-3
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