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Multi-ancestry genome-wide and transcriptome-wide association studies of aortic stenosis identify more than 200 independent risk loci and provide insights into its genetic architecture.

Caspase 8 protein expression is largely absent in small cell lung cancer (SCLC) patients. Here, the authors generate a caspase 8 deletion SCLC mouse model and show that it promotes a neuronal progenitor-like cell state and pre-tumoral immunosuppression triggered by necroptosis that promotes metastasis.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Kaiser et al. characterize the disordered extracellular N-terminus of a peptide-activated G protein-coupled receptor. They combine biophysical, biochemical, and computational methods to uncover its role in the activation of G protein and arrestin pathways.

Protein folding is facilitated by cellular machinery, but studying folding in the cellular context is challenging. Here, the authors developed Arrest Peptide Profiling to map co-translational folding and chaperone interactions in living cells.

Exome sequencing within a structured diagnostic process for rare diseases in Germany shows how facial image analysis and machine learning can guide variant prioritization and uncover many ultrarare diseases.

In a mouse model, maternal obesity during pregnancy can lead to fatty liver disease in the offspring, driven by aberrant developmental programming of Kuppfer cells.

Plasma cells (PC) contribute to the pathogenesis of autoimmune diseases by secreting autoantibodies. Strategies to target pathogenic PCs are thus required. Here, the authors profile different PC subsets in naïve and lupus-prone mice and report the emergence and expansion of a CD19^– PC subset in diseased mice that could compromise the effectiveness of CD19-targeting therapies.

In 1923, Otto Warburg published his landmark study, in which he described his seminal observations related to metabolic shifts in cancer, often referred to as the Warburg effect. His work laid the foundation for an understanding of how metabolic reconfiguration contributes to cancer onset and progression. Several researchers in the field share their thoughts on what this discovery means to them and how it has inspired their scientific journey.

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.

Genome-wide association analyses identify new risk loci for heart failure and its subtypes, extending understanding of the underlying biological pathways and disease mechanisms.

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.

Wetlands cover more than 6% of the global ice-free land area, and represent an important arsenic sink. Laboratory experiments suggest that natural organic matter plays an active role in the immobilization of arsenic in anoxic wetlands.

Mechanical unfolding of huntingtin mRNA with optical tweezers reveals how CAG repeat expansion triggers base pair reshuffling and favors RNA aggregation that is a hallmark of Huntington’s Disease.

Analysis of the ejection of electrons in a plane perpendicular to an incident electron beam reveals unexpected differences between the ionization behaviour of atoms and molecules. For molecules that have nuclei at their centres of mass, the angular distribution of emitted electrons is similar to that of atoms. But for those that don’t, the shape of this distribution is qualitatively different.

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.

A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

Estimates from the Global Dietary Database indicated that 2.2 million new type 2 diabetes and 1.2 million new cardiovascular disease cases were attributable to sugar-sweetened beverages worldwide in 2020, with the highest burdens in sub-Saharan Africa, Latin America and the Caribbean.

Targeting transcription factors with small molecules remains a significant challenge in drug discovery. Here, the authors present a structure-based approach to stabilize ChREBPα/14-3-3 interactions, suppressing ChREBPβ and protecting β-cells from glucolipotoxicity, showcasing ‘molecular glues’ as tools to control difficult to target transcription factors.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

Modelling of the evolution of atmospheric methane emissions from the 2022 Nord Stream subsea pipeline leaks shows that the event emitted the largest recorded amount of methane from a single transient event.

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.

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.

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.

Recent estimates of sugar-sweetened beverages (SSBs) intake are generally unavailable. Here the authors show a global SSBs intake of 2.7 servings/week in 2018 in adults (range: 0.7 South Asia, 7.8 Latin America/Caribbean); intakes were higher among males, younger, more educated, and urban adults.

Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.

IL-36 receptor is crucial for host defense and tissue repair. Here, the authors describe identification and characterization of low molecular weight inhibitors of the IL-36 receptor using encoded library technologies. This represents a rare example of small molecules inhibiting a member of IL-1 receptor family.

Loss-of-function variants in thyroid hormone transporter MCT8 cause a neurodevelopmental and metabolic disorder. Here the authors identify genotype-phenotype relationships, advance insights in MCT8 (dys)function and create a pathogenicity-severity variant classifier.