This study seeks to explain the poor overlap of genome-wide association study and cis-expression quantitative trait locus variants using a model of differential selective constraint, suggesting that these two study types have biases towards different functional classes of variants.

Mouse lineage tracing in regenerating bone marrow after myeloablation shows a dynamic dedifferentiation of mature adipocytes into bone marrow stromal cells. Lipolysis disruption obstructs adipocyte dedifferentiation and hematopoietic stem cell regeneration.

Epigenomic profiling and massively parallel reporter assays identify 892 functional differentially-active single-nucleotide variants (daSNVs) linked to ten neuropsychiatric diseases. CRISPRi and gene editing approaches show magnesium transport dysfunction as a common genetic pathomechanism.

De novo genome assemblies of 12 species from Aurantioideae and pangenome analyses provide insights into the origin and evolution of the orange subfamily and the genetic basis of flavor in citrus fruits.

Single-cell transcriptomes and single-cell chromatin accessibility profiles generated using EasySci provide a global view of aging and Alzheimer’s pathogenesis-associated cell population dynamics in human and mouse brains.

Analysis of single-nucleus RNA sequencing and single-nucleus assay for transposase-accessible chromatin with sequencing data derived from synovium of patients with rheumatoid arthritis identifies regions with dynamic accessibility that correlate with cell states. Dynamic peaks are more strongly enriched for autoimmune disease heritability.

A downsampling approach to assess causal variant fine-mapping, replication failure rate, finds that commonly used methods may be miscalibrated. Simulations suggest this is probably due to a nonsparse genetic architecture model misspecification. Incorporating infinitesimal effects in the SuSiE and FINEMAP frameworks improves performance.

Cross-ancestry genome-wide association meta-analyses identify new risk loci for peptic ulcer diseases and provide evidence that gastrointestinal cell differentiation and hormone regulation contribute to their etiology.

Neural networks are a common machine learning architecture for predicting phenotype from genomic sequence. This analysis finds that they err in calling the variant direction of effect, with important implications for personalized predictions.

Population analysis of 516 wild and domesticated broomcorn millet genomes and a graph-based pangenome based on de novo assemblies of 32 representative accessions identify genomic variations associated with domestication traits.

Implementing human genetics research: an itinerary of a researcher from low-income settings.

The preparedness of Africa for genomic medicine remains a matter of debate because this question is always evaluated from a technological standpoint. Yet the resilience of African researchers and the cultural values of equity and fairness are important assets to be considered in planning for the future of genomic medicine in Africa.