Untargeted metabolome- and transcriptome-wide association study identifies causal genes modulating metabolite concentrations in urine

Reyhan Sönmez Flitman,Bita Khalili,Zoltan Kutalik,Rico Rueedi,Sven Bergmann

biorxiv（2020）

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摘要

Our study provides evidence that the integration of metabolomics with gene expression data can support mQTL analysis, helping to identify the most likely gene involved in the modulation of the metabolite concentration.

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transcriptomics,untargeted metabolomics,genome wide association studies,<italic>ALMS1</italic>,<italic>NAT8</italic>,<italic>HPS1</italic>,<italic>PYROXD2</italic>,N-acetylated compounds,N-Acetylaspartate,trimethylamine

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