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Investigating the causal associations between metabolic biomarkers and the risk of kidney cancer

Abstract Metabolic reprogramming plays an important role in kidney cancer. We aim to investigate the causal effect of 249 metabolic biomarkers on kidney cancer from population-based data. This study extracts data from previous genome wide association studies with large sample size. The primary endpo...

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書誌詳細
主要な著者: Lede Lin, Yaxiong Tang, Kang Ning, Xiang Li, Xu Hu
フォーマット: Artigo
言語:Inglês
出版事項: Nature Portfolio 2024-04-01
シリーズ:Communications Biology
オンライン・アクセス:https://doi.org/10.1038/s42003-024-06114-8
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