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An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

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.

Muller et al. show that some neurons in the cortex learn faster from better-than-expected outcomes compared to worse-than-expected ones; others do the converse, resulting in simultaneous optimism and pessimism, as predicted by distributional reinforcement learning.

David Page and colleagues report the sequence of the chicken W sex chromosome and compare ancestral W-linked genes across bird species. They find that the W chromosome did not acquire genes expressed exclusively in reproductive tissue, but retained genes through selection to maintain appropriate dosage levels of broadly expressed genes.

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.

Mechanical confinement of cancer cells at the tumour–microenvironment interface induces phenotype switching through chromatin remodelling by HMGB2, leading to a more invasive and drug-resistant state in melanoma.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

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.

Whole-genome sequencing analysis of individuals with primary immunodeficiency identifies new candidate disease-associated genes and shows how the interplay between genetic variants can explain the variable penetrance and complexity of the disease.

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.

Transcriptome-wide m⁶A RNA methylation profile in 162 primary prostate tumors identifies m⁶A association with prognostic clinical features and disease aggression.

Chromodomain Helicase DNA-binding (CHD) proteins have been implicated in neurodevelopmental processes. Here, the authors identify missense variants in CHD3 that disturb its chromatin remodeling activities and cause a neurodevelopmental disorder with macrocephaly and speech and language impairment.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

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.

An investigation using various methods reports an association between adeno-associated virus 2 and paediatric hepatitis of unknown aetiology.

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.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Azobenzene-based photoswitchable drugs traditionally require activation with UV-blue light having poor tissue penetration. Here, the authors show triplet sensitized photoisomerization of an azo drug with far-red and NIR light, allowing deep tissue penetration and in vivo heart rate control in frog tadpoles.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

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.

Whole-exome analysis of individuals with developmental disorders shows that de novo mutations can equally cause loss or altered protein function, but that most mutations causing altered protein function have not yet been described.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

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.

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.

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.

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.

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.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

Analysing camera-trap data of 163 mammal species before and after the onset of COVID-19 lockdowns, the authors show that responses to human activity are dependent on the degree to which the landscape is modified by humans, with carnivores being especially sensitive.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Here the authors characterise the cellular and molecular progression of lung alveolar damage in severe COVID-19 patients using integrated histopathology and cell atlassing, pinpointing a role for macrophage SPP1 signalling to vasculature in this process.

Exposure of mice to high fructose during gestation or early postnatal life causes decreased microglial phagocytosis during brain development and leads to anxiety-like behaviour in adolescence.

A case–control study investigating the causes of recent cases of acute hepatitis of unknown aetiology in 32 children identifies an association between adeno-associated virus infection and host genetics in disease susceptibility.

Using genome-wide miRNA mimic and hairpin inhibitor screens, Li et al. identify 31 miRNAs that either inhibit or promote hepatitis C virus (HCV) replication at different steps of the viral life cycle. Furthermore, human liver biopsies show that HCV down-regulates identified miRNAs with antiviral function.

Developmental disorders (DDs) are more prevalent in males, thought to be due to X-linked genetic variation. Here, the authors investigate the burden of X-linked coding variants in 11,044 DD patients, showing that this contributes to ~6% of both male and female cases and therefore does not solely explain male bias in DDs.

Independent of antigen presentation, migratory CCR7⁺ dendritic cells orchestrate the influx, proliferation and cytotoxic action of natural killer cells to control cancer cell growth in the leptomeninges.

Aberrant changes in DNA methylation have been implicated in various neurodevelopmental disorders but remain under studied in developmental and epileptic encephalopathies. Here, the authors demonstrate the diagnostic utility of genome-wide DNA methylation analyses toward identifying molecular etiologies in developmental and epileptic encephalopathies.

Spinal and bulbar muscular atrophy (SBMA) is a neurodegenerative disorder that results from a polyglutamine repeat expansion in the androgen receptor (polyQ-AR). In this study, the authors show that autophagy is dysregulated in SBMA mice and in neural precursors obtained from iPSCs derived from human patients and that this results from an impaired interaction between AR and the transcription factor TFEB.

In the first results from an ongoing global cancer screening data repository, screening program organization was better overall in Europe compared to other continents; however, there were substantial gaps in implementation across both high- and low-resource settings.

CCR5 is a co-receptor for many transmitted HIV strains. Here, the authors show that biweekly injection of the CCR5-specific antibody Leronlimab protects rhesus macaques against infection following repeated intrarectal challenges of a CCR5-tropic SHIV.

A variant of group A Streptococcus serotype M1 (UK) has been increasingly reported and can be differentiated from the global variant by its overexpression of the superantigen SpeA. Here, Davies et al probe the mechanism behind enhanced SpeA expression and demonstrate that a SNP in the 5’ leader sequence of ssrA is responsible for this virulence phenotype.

By integrating healthcare and exome-sequencing data from parent–offspring trios of patients with developmental disorders, 28 genes that had not previously been associated with developmental disorders were identified.