疾病
2型糖尿病
计算生物学
类型(生物学)
进化生物学
糖尿病
生物
医学
内科学
生态学
内分泌学
作者
Ozvan Bocher,Ana Luiza Arruda,Satoshi Yoshiji,Chi Zhao,Chen‐Yang Su,Xianyong Yin,Davis Cammann,Henry J. Taylor,Jingchun Chen,K. Suzuki,Ravi Mandla,Alicia Huerta‐Chagoya,Ta‐Yu Yang,Fumihiko Matsuda,Josep M. Mercader,Jason Flannick,James B. Meigs,Alexis C. Wood,Marijana Vujković,Benjamin F. Voight
标识
DOI:10.1101/2025.05.05.25326880
摘要
. Causal effects are mostly shared across ancestries, but highly heterogeneous across tissues. Our findings provide insights in cross-ancestry and tissue-informed multi-omics causal inference analysis approaches and demonstrate their power in uncovering molecular processes driving T2D.
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