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Genomic epidemiology and phylodynamics for county-to-county transmission of SARS-CoV-2 in Minnesota, from 19A to Omicron

Authors :
Matthew, Scotch
Kimberly, Lauer
Eric D, Wieben
Yesesri, Cherukuri
Julie M, Cunningham
Eric W, Klee
Jonathan J, Harrington
Julie S, Lau
Samantha J, McDonough
Mark, Mutawe
John C, Oâ Horo
Chad E, Rentmeester
Nicole R, Schlicher
Valerie T, White
Susan K, Schneider
Peter T, Vedell
Xiong, Wang
Joseph D, Yao
Bobbi S, Pritt
Andrew P, Norgan
Source :
medRxiv
Publication Year :
2022

Abstract

SARS-CoV-2 has had an unprecedented impact on human health and highlights the need for genomic epidemiology studies to increase our understanding of the evolution and spread of pathogens and to inform policy decisions. Most efforts have focused on international or country-wide transmission, which are unable to highlight state-wide trends. We sequenced virus genomes from over 22,000 patients tested at Mayo Clinic Laboratories between 2020-2022 and leveraged detailed patient metadata to describe county-to-county spread in Minnesota. Our findings indicate that spread in the state was mostly dominated by viruses from Hennepin County, which contains the largest metropolis. For many counties, we found that state government restrictions eventually led to a decrease in the diversity of circulating viruses from other counties and that their complete removal in May of 2021 saw a drastic revert to levels at or greater than those observed during the months before. We also linked over 14,000 genomes with patient risk characteristics and infection-related phenotypes from the Mayo Clinic electronic health record. We found that the genetic relationship of Omicron viruses was structured by clinical outcomes when stratifying by patient risk factor and variant of concern. However, we were unable to identify nucleotide variants that drove this association.

Subjects

Subjects :
Article

Details

Database :
OpenAIRE
Journal :
medRxiv : the preprint server for health sciences
Accession number :
edsair.pmid..........7b1723cee3f60fc4ee8e9ee67ca46b73