MOST of us have dated someone different to our usual ‘type on paper’ – celebs included. This week Jackass star Steve-O opened up about his split from Stacey Solomon, after he move…
fell in love and even lived together for four yearsReminiscing about their past romance on The Graham Norton Show in 2018, Dame Helen said: “We didn’t just date, we lived together for four years. We were a serious item for a while. Lucky me!”
Liam added: “Before I met her and we worked together, I had read somewhere that if she fancied a guy she would imitate his walk behind his back. And I turned around one day and she was doing that to me.” The couple split after nearly five years - with Helen, then the more successful actor, getting a "sense from Liam that it was time for him to come out from under my wing".
She added that he handled the break-up "with elegance and grace" but it was difficult to let go because they "loved each other".Mila Kunis and McAuley Culkin dated for nine years between 2002 and 2011
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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.
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When Will We Stop Reducing Women’s Body Types To Trends?“One body type has to go out of fashion for another to come in, as if women’s bodies are able to contort and change of their own accord based on societal whims.”
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