Reviews & Analysis

A new study deciphers the origin and evolution of childhood neuroblastoma using genome sequencing data, mathematical models and statistical inference, showing how neuroblastoma evolution is an accurate predictor of outcome.

How histone modifications are reprogrammed through germline development in plants is poorly understood. We found that H3K27me3 and H3K4me3 are extensively reprogrammed throughout the development of Arabidopsis male gametophyte. This reprogramming leads to widespread chromatin bivalency and selective removal of H3K27me3 marks from key developmental regulators in sperm.

Quantifying whether different populations share similar effect sizes of common causal variants is vital to understand the genetic basis of disease and build better prediction models. A new study proposes a method leveraging admixture to estimate the correlation of causal genetic variants and finds they are largely similar across ancestry backgrounds.

We introduce molecular and cellular criteria — based on morphology, ploidy, CpG island methylation and immune infiltration — that improve the characterization of malignant pleural mesothelioma. These criteria reveal adaptation strategies that are adopted by tumor cells and offer new possibilities for classification and clinical management.

Current risk assessment and treatment strategies for venous thromboembolism (VTE) consider genetic factors only in a limited way. New work shows a more pervasive role of common variants in VTE risk, inspiring genetic predictors that surpass and complement individual clinical risk factors and monogenic thrombophilia testing.

The expression of murine endogenous retrovirus-L (MERVL) is transiently upregulated at the two-cell stage in mouse embryos, coinciding with zygotic genome activation and the acquisition of totipotency; however, its role in embryogenesis remains elusive. We show that nuclear expression of MERVL is required for accurate regulation of the host transcriptome and chromatin state during preimplantation development.

Interacting proteins commonly perform similar functions. A protein interaction network analysis of genes linked to 1,002 human traits identifies molecular mechanisms that are shared across traits and so-called pleiotropic biological processes, whose disruption might affect many aspects of human biology.

Multi-omic profiling of lesions at autopsy reveals a plethora of resistance mechanisms present within individual patients with ovarian cancer. This highlights the extreme challenge faced in treating end-stage disease and underscores the need for new methods of early detection and intervention.

A meta-analysis of harmonized human brain RNA-seq datasets creates expression quantitative trait locus (eQTL) maps for multiple ancestries and brain regions, predicts cell-type-dependent eQTLs and produces gene networks. This prioritizes genes for multiple brain-related diseases, serving as a promising step toward the identification of central nervous system (CNS) drug targets.

Using laser-capture microdissection and whole-genome sequencing of individual crypts, we characterized the landscape of somatic mutations in human small intestinal epithelium. Mutational signatures of APOBEC mutagenesis were found frequently and are probably due to the activity of APOBEC1, which is expressed at high levels in the small intestine.

Using a series of mouse mutants, we found that the Sox2 promoter does not require CTCF–cohesin loops to interact with distal enhancers. Surprisingly, mice with varying numbers of CTCF motifs in different positions showed that some distal enhancers can bypass boundaries that are created by CTCF–cohesin loops to ensure robust Sox2 expression.

Current methods of chromatin analysis focus mainly on the most abundant cell types in a sample. We present a workflow that combines enrichment of rare cell types with high-resolution mapping of histone modifications, which enables us to study chromatin dynamics in rare stem and progenitor cell populations.

This Perspective article discusses Singapore’s efforts to implement a National Precision Medicine Strategy through the integration of genomic, clinical and lifestyle data of up to one million Singaporean individuals.

Endometriosis affects around 10% of individuals born with a uterus, yet we know remarkably little about its underlying biology. Our single-cell transcriptional profiling of endometrial-type epithelial and stromal cells is shedding light on the cells and processes that contribute to endometriosis, which opens up new avenues for diagnostics and therapeutics.

A high-throughput reporter gene assay for use in living tissues has been developed. The assay allows investigators to quantify, in parallel, the activities of reporter genes in each of the cell types that constitute a tissue.

A major challenge in human genetics is the prioritization of causal genes in common complex diseases. A genome-wide CRISPR screen for intracellular insulin content in a human β-cell line has now identified a new candidate gene for type 2 diabetes, demonstrating the utility of this screening approach in β-cells.

The cell types of the lung enable gas exchange and protect against infection. Our spatial atlas of the human lung and airways revealed 11 new cell types and mapped their anatomical locations. In particular, we defined the gland-associated immune niche (GAIN), which is involved in fighting respiratory infections.

It is well known that dietary composition affects lifespan, but whether the effects of diet are mediated through interactions with genetics is unknown. By careful tracking of genome-wide allele frequency in Drosophila, we identify hundreds of loci that affect longevity only in the context of a high-sugar diet.

CRISPR cell and gene therapy have been designed largely with respect to a single reference human genome. A new study reveals how human genetic diversity could lead to off-target effects and presents a new tool to identify these risks.

We profiled human DNA methylation for 987 GTEx samples across nine tissues and characterized how genetic regulation of the methylome, compared with the transcriptome, contributes to GWAS phenotypes. This resource contributes to our understanding of molecular regulatory mechanisms in human tissues and their effects on complex traits.