| 1 |
[GO] |
2023―Jan―24 |
Deep learning identified genetic variants for COVID-19-related mortality among 28,097 affected cases in UK Biobank |
Zihuan Liu, Wei Dai, Shiying Wang, Yisha Yao, Heping Zhang |
| 2 |
[GO] |
2022―Feb―22 |
A two-sample robust Bayesian Mendelian Randomization method accounting for linkage disequilibrium and idiosyncratic pleiotropy with applications to the COVID-19 outcomes |
Anqi Wang, Wei Liu, Zhonghua Liu |
| 3 |
[GO] |
2021―Jun―23 |
Genome-wide association analysis of COVID-19 mortality risk in SARS-CoV-2 genomes identifies mutation in the SARS-CoV-2 spike protein that colocalizes with P.1 of the Brazilian strain |
Georg Hahn, Chloe M. Wu, Sanghun Lee, Sharon M. Lutz, Surender Khurana, Lindsey R. Baden, et al. (+17) Sebastien Haneuse, Dandi Qiao, Julian Hecker, Dawn L. DeMeo, Rudolph E. Tanzi, Manish C. Choudhary, Behzad Etemad, Abbas Mohammadi, Elmira Esmaeilzadeh, Michael H. Cho, Jonathan Z. Li, Adrienne G. Randolph, Nan M. Laird, Scott T. Weiss, Edwin K. Silverman, Katharina Ribbeck, Christoph Lange |
| 4 |
[GO] |
2021―Jan―13 |
Unsupervised cluster analysis of SARS-CoV-2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS-CoV-2 virus |
Georg Hahn, Sanghun Lee, Scott T. Weiss, Christoph Lange |