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In this study, the authors generated iPSC lines from more than 100 sporadic ALS cases, which recapitulated key disease phenotypes and enabled large-scale drug screening, identifying a promising combination therapy of baricitinib, memantine and riluzole.

A multimodal analysis of patients with 22 different immune-mediated monogenic diseases versus matched healthy controls leads to the development of the immune health metric, which could be implemented broadly to predict responses to aging, vaccination and other immune perturbations.

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.

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.

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.

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.

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 expression of each of the roughly 22,000 genes of the mouse genome has been mapped, at cellular resolution, across all major structures of the mouse brain, revealing that 80% of all genes appear to be expressed in the brain.

Here the authors show that ventrally derived oligodendrocytes (OLs) can myelinate areas usually populated by dorsally derived OLs but cannot functionally compensate, as animals populated only by ventrally derived OLs show locomotor and cognitive deficits.

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.

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.

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.

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.

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 genetic basis of atopic dermatitis is not fully understood. Here, the authors find 91 genetic loci associated with atopic dermatitis in a GWAS of >1million individuals, which highlight the importance of systemic immune regulation.

Abdominal obesity is associated with an increased risk of cardiovascular disease, insulin resistance, type 2 diabetes mellitus and all-cause mortality, whereas gluteofemoral obesity has opposing associations. In this Review Fredrik Karpe and Katherine Pinnick discuss the developmental and functional differences between upper-body and lower-body fat depots and provide mechanistic insight into the disease-protective effects of lower-body fat.

The Zero Childhood Cancer pediatric precision medicine program informs treatment recommendations for children with high-risk cancers through comprehensive molecular profiling

A comprehensive analysis of the ocular networks among various tissues is necessary to understand eye physiology in health and disease. Here the authors present a multi-species single-cell transcriptomic atlas consisting of cells of the cornea, iris, ciliary body, neural retina, retinal pigmented epithelium, and choroid.

It has been previously shown that combining immune checkpoint inhibitors with TGFβ blockade potentiates anti-tumor immune responses. Here the authors show that, in an immune excluded preclinical tumor model, combining therapeutic anti-PD-L1 with anti-TGFβ treatment promotes expansion and differentiation of stem-cell like CD8 + T cells.

An integrated transcriptome, genome, methylome and proteome analysis of over 200 lung adenocarcinomas reveals high rates of somatic mutations, 18 statistically significantly mutated genes including RIT1 and MGA, splicing changes, and alterations in MAPK and PI(3)K pathway activity.

Bhattacharya and colleagues assess the impact of antigenic imprinting using samples from mRNA vaccinated or unvaccinated individuals primarily infected with the SARS-CoV-2 variants Delta and Omicron BA.1.

Avoiding central cell necrosis at the centre of large engineered tissue constructs is an important issue forin vitrotissue engineering. Here, the authors demonstrate that this problem may be overcome by oxygenating human mesenchymal stem cells with artificial membrane-binding proteins.

An expanded GWAS of birth weight and subsequent analysis using structural equation modeling and Mendelian randomization decomposes maternal and fetal genetic contributions and causal links between birth weight, blood pressure and glycemic traits.

Neutrophilic inflammation is a hallmark of many monogenic autoinflammatory diseases. Here the authors report a case series of three unrelated boys with perinatal-onset of neutrophilic cutaneous small vessel vasculitis and systemic inflammation, and identify de novo truncating and missense variants in the Src-family tyrosine kinase LYN.

Potable reuse provides a reliable and sustainable option to drinking-water supply. However, its implementation is hindered by perceptions of potential health risks. Here, comparing potable reuse water with tap water, the authors show a lower level of cytotoxicity in reuse water.

Nacarelli et al. show that the nicotinamide-phosphoribosyltransferase-regulated NAD⁺ biogenesis pathway promotes the proinflammatory senescence-associated secretory phenotype by enhancing glycolysis and mitochondrial respiration during senescence.

Recurrent glioblastomas (rGBM) have dismal outcomes, but long-term survival has been observed in subsets of patients after immunotherapy. Here the authors report a positive association between low tumor mutation burden, inflammatory gene signatures, and survival after immunotherapy in rGBM patients.

Complex diseases such as multiple sclerosis have both genetic and environmental components. This study demonstrates that variants of genes implicated in multiple sclerosis, and alterations in cellular metabolism and vitamin D3 levels, alterN-glycosylation, a post-translational modification causal of the disease in mice.

The Cancer Genome Atlas presents an integrative genome-wide analysis of genetic alterations in 279 head and neck squamous cell carcinomas (HNSCCs), which are classified by human papillomavirus (HPV) status; alterations in EGFR, FGFR, PIK3CA and cyclin-dependent kinases are shown to represent candidate targets for therapeutic intervention in most HNSCCs.

Structural elucidation of the RNA aptamer 'Spinach' reveals that a new G-quadruplex structure forms the fluorophore-binding site that confers the ability of the RNA to function as a GFP mimic.

A non-coding polymorphism at a locus associated with myocardial infarction in humans creates a CCAAT/enhancer binding protein transcription factor binding site and alters the hepatic expression of the SORT1 gene. These authors show that modulating Sort1 levels in mouse liver alters levels of plasma low-density lipoprotein cholesterol and very low-density lipoprotein, potentially explaining why polymorphisms at this locus are associated with heart disease.

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.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

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

The Cancer Genome Atlas reports on molecular evaluation of 295 primary gastric adenocarcinomas and proposes a new classification of gastric cancers into 4 subtypes, which should help with clinical assessment and trials of targeted therapies.

In a new study including 200 families who experienced perinatal death, adding genomic analyses to standard autopsies improved the identification of underlying pathogenic causes and informed genetic counseling.