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 ...
Matt and I recently got routine blood tests done in order to get a discount on our health insurance, and when we got our results back, he mentioned how confusing they were. “I bet other people find this confusing, too,” he said. “You should write a blog post abouthow to interpret ...
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...
"This effect on blood clots is important because we know that in the long-term this can lead to clogged-up and narrower blood vessels, and that of course puts people at risk of heart attacks and strokes," Lyytinen explained in a society news release. One U.S. expert wa...
Finally, the metabolites and gut microbiota were comprehensively analyzed, and the mechanism of THSWD in the treatment of blood deficiency and blood stasis syndrome was explained from the perspective of plasma metabolites and intestinal microecology. Our results lay the foundation for the clinical ...
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 ...
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...
Furthermore, certain foods are associated differently in the two age groups, but this could be explained by the physiological aging of liver cells and related DNA error repair mechanisms. The fact remains that the condition of steatosis appears equally distributed between the two age groups, ...
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...
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...