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In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Structural variants in more than 17,000 human genomes are mapped and characterized using whole-genome sequencing, showing how this type of variation contributes to rare deleterious coding and noncoding alleles.

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 pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

The impact of neurodevelopmental mutations on functional brain connectivity is poorly understood. Here the authors identify thalamo-sensorimotor dysconnectivity dimensions shared across 16p11.2 and 22q11.2 copy number variants, autism and schizophrenia, but not ADHD.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Phylogenetic reconstructions with conserved protein markers from the 11 known DPANN phyla reveal their monophyletic placement within the Euryarchaeota.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Analysis of data from multiple instruments reveals a giant exoplanet in orbit around the 0.2-solar-mass star TOI-6894. The existence of this exoplanetary system challenges assumptions about planet formation and it is an excellent target for atmospheric characterization.

Common polygenic variation at chromosome 16p and rare recurrent deletions of 16p11.2 influencing autism risk are associated with reduced expression of genes throughout the 16p region, suggesting functional convergence of rare and common variant effects.

Ancient DNA from the eastern Maghreb (Tunisia and Algeria) dating between 15,000 and 6,000 years ago shows that this region was far less affected by external gene flow than the rest of the Neolithic Mediterranean, including not only Europe but also the western Maghreb (Morocco).

Genome-wide ancient DNA data from 225 individuals who lived in southeastern Europe between 12000 and 500 bc reveals that the region acted as a genetic crossroads before and after the arrival of farming.

New archaeological and ancient genomic data from humans in Papua New Guinea and the Bismarck Archipelago shed light on regional human admixture and genetic isolation over the past 2,500 years.

The extent of problems in quantum chemistry for which quantum algorithms could provide a speedup is still unclear, as well as the kind of speedup one should expect. Here, the authors look at the problem of ground state energy estimation, and gather theoretical and numerical evidence for the fact that an exponential quantum advantage is unlikely for generic problems of interest.

A genome-wide study by the Long COVID Host Genetics Initiative identifies an association between the FOXP4 locus and long COVID, implicating altered lung function in its pathophysiology.

A20, encoded by TNFAIP3, is a negative-feedback inhibitor of NF-κB. Grey and colleagues identify natural human variants of TNFAIP3, which lower A20 activity and increase autoinflammatory responses. These alleles were inherited by descendants of Denisovans who crossed the Wallace Line to inhabit Oceania.

Genome-wide data from 400 individuals indicate that the initial spread of the Beaker archaeological complex between Iberia and central Europe was propelled by cultural diffusion, but that its spread into Britain involved a large-scale migration that permanently replaced about ninety per cent of the ancestry in the previously resident population.

Detailed analyses pairing deep phenotyping and molecular profiles reveal mediating roles of plasma lipids in genetic and environmental factors associated with autism-related traits in children.

Measurements combined with post-processing of their outcomes can be used to prepare ordered quantum states. It has been shown that they can drive a Nishimori phase transition into a disordered state even in the presence of quantum errors.

Analysis of whole-genome sequence data from 3,474 families finds an excess of private, likely gene-disrupting variants in individuals with autism. These variants are under purifying selection and suggest candidate genes not previously associated with autism.

The largest whole-exome sequencing study of sporadic congenital hydrocephalus identities mutations associated with disrupted fetal neuro-gliogenesis as the primary pathophysiological event in a significant number of cases.

Exome sequencing of 851 trios from more than 2,500 individuals finds 187 genes with de novo mutations that contribute to meningomyelocele (spina bifida) and highlights critical pathways required for neural tube closure.

Comprehensive factor analysis of core diagnostic features provides insights into the complex genetic architecture underlying phenotypic heterogeneity in autism.

The palaeogenomic analysis of a pre-Neolithic skeleton associated with a Toalean burial context from Wallacea.

Genome-wide analysis of tandem DNA repeats in the genomes of individuals with autism spectrum disorder and control participants reveals a strong contribution of tandem repeat expansions to the genetic aetiology and phenotypic complexity of autism spectrum disorder.

Detailed analyses of the serotonin receptor 5-HT_1A and the psychedelic 5-methoxy-N,N-dimethyltryptamine reveal the differences in receptor structural pharmacology that mediate signalling specificity, efficacy and potency, findings that may facilitate the development of new neuropsychiatric therapeutics.

Eos is a newly discovered molecular cloud sitting just 94 pc from the Sun. It was detected through the far-UV emission of its molecular hydrogen, having been missed in conventional molecular gas surveys due to a low abundance of common gas tracers.

There is a genetic component to the risk of severe COVID-19, but the genetic effects are difficult to separate from social constructs that covary with genetic ancestry. To address this, the authors identify determinants of COVID-19 severity using admixture mapping, viral phylodynamics, and host immune and metagenomic sequencing.

From 1980 to 2018, the levels of total and non-high-density lipoprotein cholesterol increased in low- and middle-income countries, especially in east and southeast Asia, and decreased in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe.

Engineered switchgrass and poplar are better feedstocks for biofuel synthesis and yield more biomass in multi-year field trials.

Structural variants (SVs) in human genomes contribute diversity and diseases. Here, the authors use a multi-platform strategy to generate haplotype-resolved SVs for three human parent–child trios.

The majority of human genes can produce multiple isoforms, but studying their functional relevance requires tools to target specific isoforms. Here, the authors develop a CRISPR-based exon-exon junction-targeting strategy to achieve isoform-specific RNA knockdown.

Trees come in all shapes and size, but what drives this incredible variation in tree form remains poorly understood. Using a global dataset, the authors show that a combination of climate, competition, disturbance and evolutionary history shape the crown architecture of the world’s trees and thereby constrain the 3D structure of woody ecosystems.

Evan Eichler and colleagues report an expanded copy number variation (CNV) morbidity map of developmental delay, with additional resequencing of candidate genes in regions implicated by large CNVs. They identify several new disease-associated CNVs and show how their combined approach facilitates discovery of new developmental syndromes and disease genes.

Behavioural experiments to study decision-making in response to context-dependent accumulation of evidence provide testable models that are consistent with the heterogeneity in neural signatures among rats that perform well in trials.