Dataset Information

Host/genetic factors associated with COVID-19 call for precision medicine

ABSTRACT: Abstract If the current rate of infection are to be better managed, and future waves of infection kept at bay, it is absolutely necessary that the conditions and mechanisms of exposure to Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) be better understood, as well as the downstream severe or lethal clinical complications. While the identification of notable comorbidities has now helped to define broad risk groups, the idiosyncratic responses of individual patients can generate unexpected clinical deterioration that is difficult to predict from initial clinical features. Thus, physicians caring for patients with COVID-19 face clinical dilemmas on a daily basis. The ability to decipher individual predispositions to SARS-CoV-2 infection or severe illness, in light of variations in host immunological and inflammatory responses, in particular as a result of genetic variations, would be of great benefit in infection management. To this end, this work associates the description of COVID-19 clinical complications, comorbidities, sequelae, and environmental and genetic factors. We also give examples of underlying genomic susceptibility to COVID-19, especially with regard to the newly reported link between the disease and the unbalanced formation of neutrophil extracellular traps. As a consequence, we propose that the host/genetic factors associated with COVID-19 call for precision medicine in its treatment. This is to our knowledge the first article describing elements towards precision medicine for patients with COVID-19.

SUBMITTER: Thierry A

PROVIDER: S-EPMC7454858 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Precision medicine holds great promise for improving health and reducing health disparities that can be most fully realized by advancing diversity and inclusion in research participants. Without engaging underrepresented groups, precision medicine could not only fail to achieve its promise but also further exacerbate the health disparities already burdening the most vulnerable. Yet underrepresentation by people of non-European ancestry continues in precision medicine research and there are disparities across racial groups in the uptake of precision medicine applications and services. Studies have explored possible explanations for population differences in precision medicine participation, but full appreciation of the factors involved is still developing. To better inform the potential for addressing health disparities through PM, we assessed the relationship of precision medicine knowledge and trust in biomedical research with sociodemographic variables. Using a series of linear regression models applied to survey data collected in a diverse sample, we analyzed variation in both precision medicine knowledge and trust in biomedical research with socioeconomic factors as a way to understand the range of precision medicine knowledge (PMK) in a broadly representative group and its relationship to trust in research and demographic characteristics. Our results demonstrate that identifying as Black, while significantly PMK, explains only 1.5% of the PMK variance in unadjusted models and 7% of overall variance in models adjusted for meaningful covariates such as age, marital status, employment, and education. We also found a positive association between PMK and trust in biomedical research. These results indicate that race is a factor affecting PMK, even after accounting for differences in sociodemographic variables. Additional work is needed, however, to identify other factors contributing to variation in PMK as we work to increase diversity and inclusion in precision medicine applications.

Dataset Information

Host/genetic factors associated with COVID-19 call for precision medicine

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets