We also assessed whether accounting for the lag time between pesticide exposure and blood sample collection affected which model best explained variation in DNAm for PD-associated CMRs in females. We assessed the effect of exposures less than the median lag time across samples (i.e., recent exp...
For studies that integrate GWAS results with eQTL or DNA methylation QTL (mQTL) data to identify putative functional genes and regulatory elements for brain-related phenotypes and diseases16,17, the statistical power is limited by the small sample sizes of the brain eQTL or mQTL data (often in ...
Table 3 Prevalence of Pb and Cd in Blood of Sample Population Full size table Fig. 2 Jitter plot with median (IQR) for blood Pb and Cd levels in both study population Full size image In inhabitants around Qaroun Lake, our results found that the critical Pb levels were detected more among...
The impacts of PM2.5 on blood pressure were explained by multiple biological mechanisms. One possible mechanism is that exposure to PM2.5 may lead to oxidative stress and systemic inflammation, consequently, it could influence hemodynamic responses and thus lead to arterial remodeling (Boos and Gregory...
Results: In comparison with control conditions, the heart rate and the peripheral blood lactate level were significantly lower at depth for all workloads. Conclusions: The differences between the normobaric and hyperbaric lactate values may be explained by an overall improvement in lactate metabolism at...
Consistent with prior results, a locus on chromosome 19, which includes nine single nucleotide polymorphisms (SNPs) (top SNP, rs888663,p= 1.690 × 10-35), was significantly associated with blood MIC-1/GDF-15 concentration, and explained 21.47% of its variance. COJO analysis showed evidence ...
We calculated the phenotypic variations explained by the top significant SNPs using (V reduce –V full)/V reduce, where V full and V reduce are residual variances of the models for association analysis with and without SNP term, respectively. We also searched candidate genes with functional ...
At the same time, lymphocyte enrichment was found to be reduced in the COVID-19 sample groups, most prominently in G1 and G2 (Additional file 2: Figure S2E). The linear deconvolution results were then validated by flow cytometry. Blood composition of COVID-19 donors confirmed an increased...
The model tested explained 49.9% of the dependent variable, and the F-test result was statistically significant (F = 6.306; p < 0.05). The results of the statistical analysis demonstrated significant positive correlations between the content of zinc and copper, manganese and lead, ...
2). The accuracy of any predictor depends on the sample size and the feature space on which it is trained. To supplement the number of features used to train our predictors, we applied linear regression to fill missing values for 30–60% (depending on the feature type) of the samples in...