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Eu(Ga_1−xAl_x)₄has been found to host a charge density wave and have rich magnetic phase diagram, including multiple skyrmion lattice phases, however, it is unclear how the former relates to the latter. Here, using soft-xray angle-resolved photoemission spectroscopy, Arai et al find an emergent Fermi surface pocket, with nesting vectors that match the periodicity of the skyrmion lattice, suggesting a common electronic origin for Eu(Ga_1−xAl_x)₄rich magnetic phase diagram.

Using blood-based genome sequence data, non-genetic and genetic factors associated with control of Epstein–Barr virus during persistent infection are reported.

A genome-wide association study highlights a variant in DOCK2, which is common in East Asian populations but rare in Europeans, as a host genetic risk factor for severe COVID-19.

A single-cell multiomic immune cell atlas from 235 Japanese, including patients with COVID-19 and healthy individuals, linked with host genetics including germline and somatic mutation, plasma proteomics and metagenomics data reveals that immune cells are dynamically regulated in a cell state-dependent manner.

Using more than 100 independent iPSC lines derived from patients with Alzheimer’s disease, the authors discovered loci associated with the neuronal production of amyloid β and confirmed their influence using RNA interference.

Peripheral blood mononuclear cells from 73 Japanese patients with coronavirus disease 2019 (COVID-19) and 75 healthy controls were analyzed using single-cell transcriptomics. Combining these data with genotyping data highlights the interplay between host genetics and the immune response in modulating disease severity.

Genetic mechanisms influencing COVID-19 susceptibility are not well understood. Here, the authors analyzed whole blood RNA-seq data of 465 Japanese individuals with COVID-19, highlighting thousands of fine-mapped variants affecting expression and splicing of genes, as well as the presence of COVID-19 severity-interaction eQTLs.

Analysis of the blood DNA virome in patients with COVID-19 and autoimmune disease associates endogenous HHV-6 (eHHV-6) and high anellovirus load with increased disease risk, most notably for systemic lupus erythematosus. eHHV-6 carriers show a distinct immune response.

Myasthenia Gravis and thymoma are frequently associated with patients suffering from both diseases. Here the authors perform single cell sequencing of thymoma and find that there are autoimmune antigens such as neuromuscular proteins expressed aberrantly in neuromuscular mTECs in patients with both diseases.

Whole-genome analysis of 876 Aspergillus fumigatus strains including 171 strains from Japan highlights the diversity in the A. fumigatus strains isolated in Japan as well as the complexity in the global distribution of the pathogenic strains.

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.

A cross-ancestry genomic and transcriptomic cohort of gastric cancer highlights significantly mutated genes and mutational signatures, some of which are ancestry-specific.

Current sequencing technologies can shed light on the stepwise progression of lung adenocarcinoma. Here, the authors characterize tumor progression in lung adenocarcinomas from an early stage using short and long read whole-genome sequencing, bulk and spatial transcriptomics, and epigenomics.

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.

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.

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.

The development of tissue-engineered vascular grafts heavily relies on the availability of large animal models that allow long-term assessment of graft patency. Here Itoh et al. propose a novel model of immunodeficient pigs that allows long-term accommodation of human cell-derived three-dimensional bioprinted vascular tubes.

The saccus vasculosus is a circumventricular organ of the hypothalamus of many jawed fish whose function has remained a mystery for more than 300 years. Here the authors provide evidence that the saccus vasculosus functions as a sensor of seasonal changes in day length.