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The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3,4,5,6,7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.
Background: Only few authors have analyzed the impact of workplace conflicts and the resulting stress on the risk of developing cardiovascular disorders. The goal of this study was to analyze the association between workplace conflicts and cardiovascular disorders in patients treated by German general practitioners.
Methods: Patients with an initial documentation of a workplace conflict experience between 2005 and 2014 were identified in 699 general practitioner practices (index date). We included only those who were between the ages of 18 and 65 years, had a follow-up time of at least 180 days after the index date, and had not been diagnosed with angina pectoris, myocardial infarction, coronary heart diseases, or stroke prior to the documentation of the workplace mobbing. In total, the study population consisted of 7,374 patients who experienced conflicts and 7,374 controls for analysis. The main outcome measure was the incidence of angina pectoris, myocardial infarction, and stroke correlated with workplace conflict experiences.
Results: After a maximum of five years of follow-up, 2.9% of individuals who experienced workplace conflict were affected by cardiovascular diseases, while only 1.4% were affected in the control group (p-value <0.001). Workplace conflict was associated with a 1.63-fold increase in the risk of developing cardiovascular diseases. Finally, the impact of workplace conflict was higher for myocardial infarction (OR=2.03) than for angina pectoris (OR=1.79) and stroke (OR=1.56).
Conclusions: Overall, we found a significant association between workplace conflicts and cardiovascular disorders.
Aims: The purpose of this study was to analyze the prevalence of depression, anxiety, adjustment disorders, and somatoform disorders in patients diagnosed with age-related macular degeneration (AMD) in Germany.
Methods: This study included 7,580 patients between the ages of 40 and 90 diagnosed with AMD between January 2011 and December 2014 in 1,072 primary care practices (index date). The last follow-up was in July 2016. We also included 7,580 controls without AMD, which were matched (1:1) to the AMD cases by age, sex, type of health insurance (private or statutory), physician, and Charlson comorbidity score as a generic marker of comorbidity. The outcome of the study was the prevalence of depression, anxiety, adjustment disorders, and somatoform disorders recorded in the database between the index date and the end of follow-up.
Results: The mean age among subjects was 75.7 years (SD=10.1 years), 34.0% were men, and 7.8% had private health insurance coverage. The Charlson comorbidity index was 2.0 (SD=1.8). Depression was the most frequent disease (33.7% in AMD patients versus 27.3% in controls), followed by somatoform disorders (19.6% and 16.7%), adjustment disorders (14.8% and 10.5%), and anxiety disorders (11.7% and 8.2%). Depression (OR=1.37, 95% CI: 1.27–1.47), anxiety (OR=1.50, 95% CI: 1.35–1.67), adjustment disorders (OR=1.50, 95% CI: 1.36–1.65), and somatoform disorders (OR=1.22, 95% CI: 1.12–1.32) were all positively associated with AMD.
Conclusion: Overall, a significant association was found between AMD and depression, anxiety, adjustment disorders, and somatoform disorders.
Aim: The purpose of this study was to analyze treatment compliance in osteoporotic patients treated with osteoporosis medications in Germany.
Methods: Patients included in the analysis had been diagnosed with osteoporosis with or without fractures and started anti-osteoporotic therapy (bisphosphonates, denosumab, or strontium ranelate) between 2011 and 2014 in a general (GP) or orthopedic practice (OP) setting in Germany. Data pertaining to 6,221 individuals followed in GP and 4,044 individuals followed in OP were analyzed retrospectively. The last follow-up was in December 2015. The main outcome measure was the compliance within the one-year period after the index prescription date. Compliance was measured indirectly and was based on the mean possession ratio (MPR). A multivariate logistic regression model was used to determine the association between MPR (dependent variable) and age, gender, type of practice, type of osteoporosis treatment, therapy frequency, and history of fracture (covariates).
Results: The mean age of the study group was 73.3 years, and 13.2% of subjects were men. Regarding type of practice, 60.6% of individuals were followed in GP and 39.4% in OP. Noncompliance was observed in 55.2% of the patients. Patients in the age group ≤60 years were at a higher risk of being noncompliant when compared to those in the age group of 61–70 years. Men and patients who received oral drugs were also more likely to be noncompliant than women and patients who received injectable or intravenous drugs. Finally, therapies that were given every three or six months were associated with a decrease in the risk of noncompliance when compared to weekly therapy, whereas daily and monthly treatments were associated with an increased risk.
Conclusion: Compliance is insufficient in osteoporotic patients treated with osteoporosis medications.
Fungi play pivotal roles in ecosystem functioning, but little is known about their global patterns of diversity, endemicity, vulnerability to global change drivers and conservation priority areas. We applied the high-resolution PacBio sequencing technique to identify fungi based on a long DNA marker that revealed a high proportion of hitherto unknown fungal taxa. We used a Global Soil Mycobiome consortium dataset to test relative performance of various sequencing depth standardization methods (calculation of residuals, exclusion of singletons, traditional and SRS rarefaction, use of Shannon index of diversity) to find optimal protocols for statistical analyses. Altogether, we used six global surveys to infer these patterns for soil-inhabiting fungi and their functional groups. We found that residuals of log-transformed richness (including singletons) against log-transformed sequencing depth yields significantly better model estimates compared with most other standardization methods. With respect to global patterns, fungal functional groups differed in the patterns of diversity, endemicity and vulnerability to main global change predictors. Unlike α-diversity, endemicity and global-change vulnerability of fungi and most functional groups were greatest in the tropics. Fungi are vulnerable mostly to drought, heat, and land cover change. Fungal conservation areas of highest priority include wetlands and moist tropical ecosystems.