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Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

Tropical forests regulate Earth’s carbon cycle, but what governs carbon sequestration following land use remains unclear. Here Tang et al find a shift from strong nitrogen limitation to no nutrient limitation over tropical forest secondary succession.

Mitochondrial diseases lead to chronic health impairment, aggravated by infections and other environmental exposures. Here authors show, in a mouse model of polymerase gamma (Polg)-related mitochondrial disease, that Pseudomonas aeruginosa infection prompts innate immune hyperreactivity via interferon-mediated upregulation of caspase11 and guanylate-binding proteins, leading to lung inflammation.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

Pathology-oriented multiplexing (PathoPlex) represents a framework for widespread access to multiplexed imaging and computational image analysis of clinical specimens at a relatively high throughput and subcellular resolution.

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.

Magic state distillation is achieved with logical qubits on a neutral-atom quantum computer using a dynamically reconfigurable architecture for parallel quantum operations.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

This study employs a functional genomic approach to identify a synthetic lethal interaction between CDS1 and CDS2 in uveal melanoma and other cancers, which may represent a potential therapeutic target.

ISR-specific contributions to stress-induced cellular outputs are not well understood. Here,

authors use a minimal activation system and multi-omics to define an ISR-sufficient metabolic state that includes protective accumulation of lipid droplets.

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.

Effective anti-PD-1 immunotherapy is associated with the presence of polyclonal CD8⁺ T cells in the tumour and blood specific for a limited number of immunodominant mutations, which are recurrently recognized over time.

Generation of TNF-α in response to chemotherapy has been associated with chemo-resistance and metastasis propagation. Here the authors show that the combination of an anti-TNF antibody and cisplatin doublet chemotherapy increases anti-tumor efficacy in lung cancer preclinical models and report the results of a phase I clinical trial of the anti-TNF-α antibody certolizumab in combination with chemotherapy in patients with stage IV lung adenocarcinomas.

The Cancer Genome Atlas Research Network report integrated genomic and molecular analyses of 164 squamous cell carcinomas and adenocarcinomas of the oesophagus; they find genomic and molecular features that differentiate squamous and adenocarcinomas of the oesophagus, and strong similarities between oesophageal adenocarcinomas and the chromosomally unstable variant of gastric adenocarcinoma, suggesting that gastroesophageal adenocarcinoma is a single disease entity.

Dysregulated immune features in a patient with a homozygous loss-of-function mutation in PDCD1 suggest that IL-6, IL-23, STAT3 and RORγT might be potential targets for treatment of PD-1 blockade-induced autoimmunity.

Genomic analyses of large population-based cohorts uncover the genetic determinants of perivascular space burden, an MRI marker of cerebral small vessel disease, across the lifespan, and reveal potential pathways implicated in the etiology of stroke and dementia.

Degeneration of the retinal pigment epithelium is a hallmark of geographic atrophy, a type of age-related macular degeneration. Kerur et al. show that this degeneration results from a multistep pathway in which mitochondrial dysfunction in RPE cells, triggered by accumulation of Alu RNA, leads to activation of the noncanonical inflammasome via a cGAS–STING–IRF3 signaling axis.

TET mediated RNA-hydroxymethylation (5hmC) has been detected in mammals, but its physiological role remains unclear. Here the authors map 5hmC during embryonic stem cell (ESC) differentiation and find that Tet-mediated RNA hydroxymethylation reduces the stability of crucial pluripotency related transcripts.

Analysis of bronchoalveolar lavage fluid samples from patients with SARS-CoV-2-induced respiratory failure suggests that SARS-CoV-2 infects alveolar macrophages to cause release of T cell chemoattractants, thereby inducing local inflammatory cytokine release and further T cell activation, ultimately resulting in a positive feedback loop that drives alveolar inflammation.

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