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遗传视角洞察肺功能,助力呼吸疾病的更好管理。

Genetic insights into lung function inform better management of respiratory diseases.

机构信息

Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166 China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, 211166 China.

Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, 211166 China; Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, 211116 China.

出版信息

Cell Rep Med. 2023 May 16;4(5):101041. doi: 10.1016/j.xcrm.2023.101041.

Abstract

Shrine et al. conducted the largest multi-ancestry genome-wide meta-analysis of lung function and identified 1,020 signals associated with lung function. These provide novel insights into the genetic underpins of lung function and may inform better clinical management of respiratory disorders.

摘要

shrine 等人进行了最大规模的多血统全基因组肺功能荟萃分析,确定了 1020 个与肺功能相关的信号。这些为肺功能的遗传基础提供了新的见解,并可能为更好地管理呼吸障碍提供信息。

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