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Johnson et al. link ARIA, a complication of anti-amyloid therapy, to clonal expansion of cytotoxic CD8 + T cells with glycolytic reprogramming and vascular trafficking potential, with implications for biomarker development and risk mitigation.

Linking structural variants to gene expression information identifies aberrant signaling pathways.

This study uses Strand-seq to explore the landscape of mosaic structural variants (mSVs) in human hematopoietic stem and progenitor cells from people of different ages. The analysis highlights patterns of enrichment for mSVs in specific cell types, with associated phenotypes, and suggests that clonal expansions due to mSVs are generally restricted to older individuals.

A genome-wide-association meta-analysis of 18,381 austim spectrum disorder (ASD) cases and 27,969 controls identifies five risk loci. The authors find quantitative and qualitative polygenic heterogeneity across ASD subtypes.

An integrated single-cell multiomic analysis of complex karyotype acute myeloid leukemia characterizes intratumoral heterogeneity and highlights links to therapeutic sensitivities.

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).

IL-33 induces tertiary lymphoid structures.

Complex structural variations in single cells are detected by integrating read depth, template strand and haplotype phase information.

An initial draft of the human pangenome is presented and made publicly available by the Human Pangenome Reference Consortium; the draft contains 94 de novo haplotype assemblies from 47 ancestrally diverse individuals.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

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.

Genome-wide detection of inversions in great ape genomes by using long-read sequencing and single-cell DNA template strand sequencing (Strand-seq) expands the number of known ape inversions and identifies several regions that have recurrently toggled between a direct and an inverted state during primate evolution.

Which combination of current genome sequencing and assembly approaches results in high-quality, complete diploid genome assemblies is determined.

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

Hegazy and colleagues demonstrate that epithelial oncostatin M receptor expression drives gut inflammation and tumor formation.

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 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.

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.

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.

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.

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.

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.

Haplotype information is important in investigating many biological phenomena. Here, Porubsky et al. combine Strand-seq with long-read or linked-read sequencing to obtain complete and genome-wide haplotypes of a single individual genome at manageable costs.

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.

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.

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.

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.

This Resource combines amplicon sequencing, shotgun metagenomic sequencing and untargeted metabolomics to provide a global view of microbial–metabolite associations across Earth’s environments.

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.

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.

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.

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.

Emerging SARS-CoV-2 variants of concern were detected early and multiple cases of virus spread not captured by clinical genomic surveillance were identified using high-resolution wastewater and clinical sequencing.

An integrated data and sample repository for clinical, cellular and multi-omics research from diverse spaceflight missions known as Space Omics and Medical Atlas (SOMA) is presented.

Endoplasmic Reticulum stress induces cell non-autonomous Unfolded Protein Response (UPR) activation. Here the authors show that long-chain ceramides are secreted from muscle cells in extracellular vesicles and induce cell non-autonomous UPR activation in muscle cells in response to lipotoxcity.

Comparisons within the human pangenome establish that homologous regions on short arms of heterologous human acrocentric chromosomes actively recombine, leading to the high rate of Robertsonian translocation breakpoints in these regions.

Constructing genome graphs directly from genome assemblies overcomes single-reference bias.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

As phase 1 of the Earth Microbiome Project, analysis of 16S ribosomal RNA sequences from more than 27,000 environmental samples delivers a global picture of the basic structure and drivers of microbial distribution.

The Strand-seq method independently sequences each parental strand of template DNA from single proliferating cells. It can be used to detect sister chromatid exchange and other chromosomal abnormalities at high resolution and to correct contig misorientations in genome assemblies, with potential for strand-inheritance and haplotyping studies.

Cell-type-specific chromatin accessibility QTL during neurogenesis allow fine mapping of causal variants and more complete underlying of regulatory mechanisms underlying noncoding loci associated with gene expression and neuropsychiatric disorders.

Kristal and Whillans conducted five field experiments (n = 68,915) designed to increase sustainable commuting using standard behavioural science tools. The interventions’ failures highlight the difficulty of changing commuter behaviour using this approach.

A study comparing the pattern of single-nucleotide variation between unique and duplicated regions of the human genome shows that mutation rate and interlocus gene conversion are elevated in duplicated regions.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.