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Content aside, I think the labelling and colour choice of this graph is confusing. It is not immediately clear whether the rank order is descending / ascending. Also, intuitively lower brightness (the white part) represents lower value, which does not seem to be the case here.

Simpson strikes again

A lot to learn from this GWAS of heart failure (HF) & subtypes (153,174 cases, 1,793,175 controls) 👉59 conditionally independent variants across 56 loci 👉exploration of genetic effect heterogeneity across 5 ancestries 👉SNP-based heritability (5.4% for combo HF phenotype) 1/5

📢 new preprint alert: So so excited to share our analysis on the impact of common and rare variants on single-cell gene expression in blood, using WGS and scRNA-seq data from nearly 2,000 individuals and 5.4m cells as part of TenK10K phase 1 🧬medrxiv.org/content/10.110… 🧵👇 (1/n)

Most genetic variants associated with human disease are assumed to act by influencing gene expression. Expression is regulated at the cell level, but most resources linking variants to expression come from tissue-level data Two advances in the world of single-cell eQTLs🧵 1/9