A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine

Mostrar otras versiones (1)

BACKGROUND: We perform a phenome-wide scan to identify pre-existing conditions related to COVID-19 susceptibility and prognosis across the medical phenome and how they vary by race. METHODS: The study is comprised of 53,853 patients who were tested/positive for COVID-19 between March 10 and Septembe...

Descripción completa

Detalles Bibliográficos
Autores principales: Salvatore, Maxwell, Gu, Tian, Mack, Jasmine A., Sankar, Swaraaj Prabhu, Patil, Snehal, Valley, Thomas S., Singh, Karandeep, Nallamothu, Brahmajee K., Kheterpal, Sachin, Lisabeth, Lynda, Fritsche, Lars G., Mukherjee, Bhramar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418740/
https://www.ncbi.nlm.nih.gov/pubmed/32793923
http://dx.doi.org/10.1101/2020.06.29.20141564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418740/
https://www.ncbi.nlm.nih.gov/pubmed/32793923
http://dx.doi.org/10.1101/2020.06.29.20141564

Ejemplares similares