Zilin Li

Nov 20, 2023 | biorxiv.org | Gareth Hawkes |Robin Beaumont |Zilin Li |Ravi Mandla

AbstractThe role of rare non-coding variation in complex human phenotypes is still largely unknown. To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100 individuals from three datasets: UK Biobank (N=200,003), TOPMed (N=87,652) and All of Us (N=45,445).

Aug 23, 2023 | mdpi.com | Zilin Li |Haotian Wang

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticleby 1,* and 2 1School of Public Administration and Policy, Renmin University of China, Beijing 100872, China2The Bartlett Faculty of the Built Environment, University College London, London WC1E 6BT, UK*Author to whom correspondence should be addressed.

Apr 21, 2023 | nature.com | Zilin Li |Zhonghua Liu

Study populationThe GWAS summary statistics for COVID‐19 of European ancestry were provided by the COVID-19 host genetics initiative (COVID-19 HGI) round 7 (https://www.covid19hg.org/results/, release date: 08 April 2022). COVID-19 HGI is the largest GWAS of COVID-19 to date, combining data from over 3 million individual samples across 82 large cohort studies in 35 countries.

Mar 23, 2023 | mdpi.com | Zilin Li |Bo Wang |Ping Wang |Wenkai Shao

Open AccessArticlebyWenkai Shao 1,†, Zilin Li 1,†, Bo Wang 2, Song Gong 1, Ping Wang 1, Beite Song 1, Zhixiang Chen 1 and Yong Feng 1,* 1Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China2Department of Rehabilitation, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China*Author to whom correspondence should be addressed.