Third, we sought to ascertain whether PTB was associated with progesterone levels among patients treated with VP. Plasma progesterone levels were measured at 24 and 32 weeks, coinciding with routine blood samples obtained for prenatal care. Progesterone was measured based on methods described by Honda et al.The association of progesterone blood levels with PTB was also compared with the rate of adherence.
Fourth, we compared pregnancy outcomes for patients who declined any use of progestogens during the study with those treated with VP to address selection bias of the study cohort. Pregnancy outcomes for patients who declined progestogen use during the study period were analyzed for both PTB history and gestational age at delivery. This analysis included comparison of specific PTB profiles according to patient history.
The overall rate of recurrent PTB was 24.0% for the VP cohort compared with the 16.8% expected rate in the matched historical Parkland obstetric population (
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Extensive European study finds very high rates of long-COVIDIn a recent study published by the European Center for Disease Prevention and Control, researchers assessed the prevalence of post-coronavirus disease 2019 (COVID-19) condition symptoms.
Source: NewsMedical - 🏆 19. / 71 Read more »
scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies - Genome BiologyBackground The rapid accumulation of single-cell RNA sequencing (scRNA-seq) data presents unique opportunities to decode the genetically mediated cell-type specificity in complex diseases. Here, we develop a new method, scGWAS, which effectively leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest and (2) to construct cellular modules which imply disease-specific activation of different processes. Results scGWAS only utilizes the average gene expression for each cell type followed by virtual search processes to construct the null distributions of module scores, making it scalable to large scRNA-seq datasets. We demonstrated scGWAS in 40 genome-wide association studies (GWAS) datasets (average sample size N ≈ 154,000) using 18 scRNA-seq datasets from nine major human/mouse tissues (totaling 1.08 million cells) and identified 2533 trait and cell-type associations, each with significant modules for further investigation. The module genes were validated using disease or clinically annotated references from ClinVar, OMIM, and pLI variants. Conclusions We showed that the trait-cell type associations identified by scGWAS, while generally constrained to trait-tissue associations, could recapitulate many well-studied relationships and also reveal novel relationships, providing insights into the unsolved trait-tissue associations. Moreover, in each specific cell type, the associations with different traits were often mediated by different sets of risk genes, implying disease-specific activation of driving processes. In summary, scGWAS is a powerful tool for exploring the genetic basis of complex diseases at the cell type level using single-cell expression data.
Source: BioMedCentral - 🏆 22. / 71 Read more »