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Mutation rates in cancer genomes are closely related to chromatin organization, indicating that the arrangement of the genome into heterochromatin- and euchromatin-like domains may be a dominant influence on variation in regional mutation rate in human somatic cells.

Methane emissions from aquatic systems contribute approximately half of global methane emissions, according to meta-analysis of natural, impacted and human-made aquatic ecosystems and indicating potential mitigation strategies to reduce emissions.

Differentiation therapy induces the maturation and clearance of acute myeloid leukemia cells. Here, using a mouse model, the authors show that a specific lineage of mature leukemia-derived cells persists during remission and is responsible for disease relapse.

A study of SARS-CoV-2 variants examining their transmission, infectivity, and potential resistance to therapies provides insights into the biology of the Delta variant and its role in the global pandemic.

The spike protein of the Omicron variant of SARS-CoV-2 has a higher affinity for ACE2 than Delta, and a marked change in its antigenicity increases Omicron’s evasion of therapeutic and vaccine-elicited neutralizing antibodies.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

A new method called polymerase error rate sequencing (PER-seq) can measure the nucleotide misincorporation rate of DNA polymerases. DNA polymerase ε mutants produce an excess of CpG<TpG errors during DNA replication in a deamination-independent manner resembling the mutation spectrum in tumors.

We reconstruct the spatial distribution and timing of wetland loss through conversion to seven human land uses between 1700 and 2020, elucidating the magnitude and land-use drivers of global wetland losses to improve assessments of wetland loss impacts.

Sera from vaccinated individuals and some monoclonal antibodies show a modest reduction in neutralizing activity against the B.1.1.7 variant of SARS-CoV-2; but the E484K substitution leads to a considerable loss of neutralizing activity.

Chronic infection with SARS-CoV-2 leads to the emergence of viral variants that show reduced susceptibility to neutralizing antibodies in an immunosuppressed individual treated with convalescent plasma.

The lack of tumour-specific antigens and control over T-cell activity limits the development of CAR-T cell therapies for solid tumours. Here the authors present an avidity-controlled CAR platform with inducible logic control functions.

Stratified medicine promises to tailor treatment for individual patients, however it remains a major challenge to leverage genetic risk data to aid patient stratification. Here the authors introduce an approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue-specific gene expression levels, and highlight its ability to identify biologically meaningful and clinically actionable patient subgroups, supporting the notion of different patient ‘biotypes’ characterized by partially distinct disease mechanisms.

The interaction of membrane-resident proteins plays an essential role in biological processes. Here the authors describe cellular biosensors based on chimeric receptors, as a tool to study the interaction of receptor-ligand pairs such as immune checkpoint molecules or virus attachment proteins and their receptors.

In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors that contributed to within university transmission and onward spread into the wider community.

The Pharma Proteomics Project generates the largest open-access plasma proteomics dataset to date, offering insights into trans protein quantitative trait loci across multiple biological domains, and highlighting genetic influences on ligand–receptor interactions and pathway perturbations across a diverse collection of cytokines and complement networks.

A genome-wide association study for attention deficit/hyperactivity disorder (ADHD) identifies 12 loci and implicates neurodevelopmental pathways and conserved regions of the genome as being involved in underlying ADHD biology.

Whole-exome sequencing in a large autism study identifies over 100 autosomal genes that are likely to affect risk for the disorder; these genes, which show unusual evolutionary constraint against mutations, carry de novo loss-of-function mutations in over 5% of autistic subjects and many function in synaptic, transcriptional and chromatin-remodelling pathways.

This study uses gene expression predictors for the dorsolateral prefrontal cortex and other brain regions to perform a transcriptomic imputation analysis of schizophrenia, identifying 413 genic associations across 13 brain regions and 36 significantly enriched pathways.

The CNV analysis group of the Psychiatric Genomic Consortium analyzes a large schizophrenia cohort to examine genomic copy number variants (CNVs) and disease risk. They find an enrichment of CNV burden in cases versus controls and identify 8 genome-wide significant loci as well as novel suggestive loci conferring either risk or protection to schizophrenia.

The CommonMind Consortium sequenced RNA from dorsolateral prefrontal cortex of subjects with schizophrenia (N = 258) and control subjects (N = 279), creating a resource of gene expression and its genetic regulation. Using this resource, they found that ∼20% of schizophrenia loci have variants that may contribute to altered gene expression and liability.

SpatialData is a user-friendly computational framework for exploring, analyzing, annotating, aligning and storing spatial omics data that can seamlessly handle large multimodal datasets.

Transcriptomic and proteomic profiling of blood samples from individuals with COVID-19 reveals immune cell and hematopoietic progenitor cell alterations that are differentially associated with disease severity.

Microexons play a crucial role in neural development and are evolutionarily conserved. Comparing microexons across bilaterians, the authors find a new protein domain responsible for the evolution of neural specificity of microexons.

Individuals over eighty years of age are less likely to mount a good immune response against SARS-CoV-2 (measured by neutralization titres) after the first dose of the BNT162b2 mRNA vaccine, but achieve good neutralization after the second dose.

Whereas the toxic effects of ethanol are well-documented, the underlying mechanism is obscure. This study uses the eukaryotic model S. cerevisiae to reveal how exposure to sublethal ethanol concentrations causes DNA replication stress and an increased mutation rate.

A transcriptome-wide association study integrating genome-wide association data with expression data from brain, blood and adipose tissues identifies new candidate susceptibility genes for schizophrenia, providing a step toward understanding the underlying biology.

Schizophrenia is a highly heritable genetic disorder, however, identification of specific genetic risk variants has proven difficult because of its complex polygenic nature—a large multi-stage genome-wide association study identifies 128 independent associations in over 100 loci (83 of which are new); key findings include identification of genes involved in glutamergic neurotransmission and support for a link between the immune system and schizophrenia.

Clozapine-induced agranulocytosis/granulocytopenia, or CIAG, is characterised by a rare and potentially fatal reaction to antipsychotic drugs. Here, the authors identify genetic variants in two immune-related genes that may contribute to the pathophysiology of CIAG.

Mark Daly and colleagues present a statistical framework to evaluate the role of de novo mutations in human disease by calibrating a model of de novo mutation rates at the individual gene level. The mutation probabilities defined by their model and list of constrained genes can be used to help identify genetic variants that have a significant role in disease.

Exome sequencing of 175 autism spectrum disorder parent–child trios reveals that few de novo point mutations have a role in autism spectrum disorder and those that do are distributed across many genes and are incompletely penetrant, further supporting extreme genetic heterogeneity of this spectrum disorder.

Establishing sustainable approaches for human space exploration is key to achieve independency from terrestrial resources, as well as for ethical considerations. Here the authors highlight microbial biotechnologies that will support sustainable processes for space-based in situ resource utilization and loop-closure, and may be translatable to Earth applications.

Megadroughts can be defined as persistent, multi-year droughts that are exceptional compared with other regional events during the Common Era. This Review discusses palaeo reconstructions of megadroughts over the past 2,000 years, and outlines the impact of anthropogenic forcing on the severity and frequency of observed and projected events.

Biotechnology is emerging as a promising approach to increase resilience, flexibility, and efficiency of space missions. In this Perspective, the authors outline design-scenarios and provide a techno-economic analysis of their deployment.

Elise Robinson, Mark Daly and colleagues present an analysis of genetic data from autism spectrum disorder (ASD) and population-based studies and find evidence for genetic correlations between ASDs and typical variation in social behavior and communication traits. These results may inform genetic models of ASDs and other neuropsychiatric disorders.

Exome sequencing on a large cohort of parent–child trios with sporadic autism spectrum disorders shows that de novo point mutations are mainly paternal in origin and positively correlate with paternal age, and identifies a highly interconnected network formed from the products of the most severe mutations.

The Psychiatric GWAS Consortium Bipolar Disorder Working Group reports a large-scale genome-wide association study of 7,481 individuals with bipolar disorder with replication in 4,493 cases. The Consortium identifies a new susceptibility locus near ODZ4 and replicates a known association near CACNA1C for bipolar disorder.

Bogdan Pasaniuc, David Reich, Alkes Price and colleagues report analyses considering the potential of genome-wide association studies (GWAS) based on extremely low-coverage sequence data sets combined with imputation using data sets from the 1000 Genomes Project. They show with simulations and real exome-sequencing data that low-coverage sequencing can increase power for GWAS relative to genotyping arrays.

The Schizophrenia Psychiatric Genome-Wide Association Study Consortium reports five genetic loci newly associated with risk of schizophrenia, involving 17,836 cases of schizophrenia and 33,859 healthy controls. The new locus with the strongest support of association was located within an intron for microRNA 137, a known regulator of neuronal development. Four other genome-wide significant loci for schizophrenia contain predicted targets of MIR137, suggesting that disruption to pathways involving MIR137 may be an etiologic mechanism in schizophrenia.