Summary
Biomarker identification may provide strategic opportunities to understand disease pathophysiology, predict outcomes, improve human health, and reduce healthcare costs. The highly heterogeneous Covid‐19 clinical manifestation suggests a complex interaction of several different human, viral and environmental factors. Here, we systematically reviewed genetic association studies evaluating Covid‐19 severity or susceptibility to SARS‐CoV‐2 infection following PRISMA recommendations. Our research comprised papers published until December 31
st
, 2020, in PubMed and BioRXiv databases focusing on genetic association studies with Covid‐19 prognosis or susceptibility. We found 20 eligible genetic association studies, of which 11 assessed Covid‐19 outcome and 14 evaluated infection susceptibility (five analyzed both effects). Q‐genie assessment indicated moderate quality. Five large‐scale association studies (GWAS, whole‐genome, or exome sequencing) were reported with no consistent replication to date. Promising hits were found on the 3p21.31 region and ABO locus. Candidate gene studies examined
ACE1, ACE2, TMPRSS2, IFITM3, APOE, Furin, IFNL3, IFNL4, HLA, TNF‐ɑ
genes, and ABO system. The most evaluated single locus was the
ABO,
and the most sampled region was the
HLA
with three and five candidate gene studies, respectively. Meta‐analysis could not be performed. Available data showed the need for further reports to replicate claimed associations.
PDE4B (phosphodiesterase-4B) has an important role in cancer and in pharmacology of some disorders, such as inflammatory diseases. Remarkably in Native | 1401 POPULATION GENETICS OF PDE4B IN NATIVE AMERICANS Federal do Triângulo Mineiro,
The Covid-19 pandemic has created an unprecedented need for epidemiological monitoring using diverse strategies. We conducted a project combining prevalence, seroprevalence, and genomic surveillance approaches to describe the initial pandemic stages in Betim City, Brazil. We collected 3239 subjects in a population-based age-, sex- and neighborhood-stratified, household, prospective; cross-sectional study divided into three surveys 21 days apart sampling the same geographical area. In the first survey, overall prevalence (participants positive in serological or molecular tests) reached 0.46% (90% CI 0.12% - 0.80%), followed by 2.69% (90% CI 1.88% - 3.49%) in the second survey and 6.67% (90% CI 5.42% - 7.92%) in the third. The underreporting reached 11, 19.6, and 20.4 times in each survey, respectively. We observed increased odds to test positive in females compared to males (OR 1.88 95% CI 1.25 - 2.82), while the single best predictor for positivity was ageusia/ anosmia (OR 8.12, 95% CI 4.72 - 13.98). Thirty-five SARS-CoV-2 genomes were sequenced, of which 18 were classified as lineage B.1.1.28, while 17 were B.1.1.33. Multiple independent viral introductions were observed. Integration of multiple epidemiological strategies was able to describe Covid-19 dispersion in the city adequately. Presented results have helped local government authorities to guide pandemic management.
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