6 Papers
27 Citations
Lin Ding is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 2, co-authored 5 publications.
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Papers
Trans-ethnic genome-wide association study of severe COVID-19.
Peng Wu,Lin Ding,Xiaodong Li,Siyang Liu,Fanjun Cheng,Qing He,Mingzhong Xiao,Ping Wu,Hongyan Hou,Minghui Jiang,Pinpin Long,Hao Wang,Linlin Liu,Minghan Qu,Xian Shi,Qin Jiang,Tingting Mo,Wencheng Ding,Yu Fu,Shi Han,Xixiang Huo,Yingchun Zeng,Yana Zhou,Qing Zhang,Jia Ke,Xi Xu,Wei Ni,Zuoyu Shao,Jingzhi Wang,Panhong Liu,Zilong Li,Yan Jin,Fang Zheng,Fang Wang,Lei Liu,Wending Li,Kang Liu,Rong Peng,Xuedan Xu,Yuhui Lin,Hui Gao,Limei Shi,Ziyue Geng,Xuanwen Mu,Yu Yan,Kai Wang,Degang Wu,Xingjie Hao,Shanshan Cheng,Gaokun Qiu,Huan Guo,Kezhen Li,Gang Chen,Ziyong Sun,Xihong Lin,Xihong Lin,Xin Jin,Feng Wang,Chaoyang Sun,Chaolong Wang +59 more
- 31 Aug 2021
TL;DR: Wang et al. as discussed by the authors identified three significant signals outside the well-established 3p21.31 locus: an intronic variant in FOXP4-AS1 (rs1853837, odds ratio OR = 1.28, P = 2.
Modelling the initial epidemic trends of COVID-19 in Italy, Spain, Germany, and France.
TL;DR: The epidemic trends and estimate the essential epidemic features of COVID-19 in Italy, Spain, Germany, and France at the initial stage were modeled and strict countermeasures, such as national lockdown and social distancing, were implemented to reduce the spread of the disease.
Exploring the Relationship Between Psychiatric Traits and the Risk of Mouth Ulcers Using Bi-Directional Mendelian Randomization.
TL;DR: In this article, the causal relationship between psychiatric traits and mouth ulcers was investigated by using Mendelian randomization (MR), powered by large-scale genome-wide association studies (GWAS).
Liver and Kidney Function Biomarkers, Blood Cell Traits and Risk of Severe COVID-19: A Mendelian Randomization Study
TL;DR: In this paper, the potential causal role of eight liver function biomarkers, one kidney function biomarker, and 14 hematological traits on COVID-19 severity using genetic association summary statistics from Europeans.
Using off-target data from whole-exome sequencing to improve genotyping accuracy, association analysis and polygenic risk prediction.
Jinzhuang Dou,Degang Wu,Lin Ding,Kai Wang,Minghui Jiang,Xiaoran Chai,Dermot F. Reilly,E. Shyong Tai,Jianjun Liu,Xueling Sim,Shanshan Cheng,Chaolong Wang +11 more
TL;DR: It is shown that polygenic risk prediction can be significantly improved for six out of nine traits by incorporating off-target data (P < 0.01) and WEScall is demonstrated as a useful tool to facilitate WES studies with decent amounts of off- target data.
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