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Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

Polygenic risk scores can help identify individuals at higher risk of type 2 diabetes. Here, the authors characterise a multi-ancestry score across nearly 900,000 people, showing that its predictive value depends on demographic and clinical context and extends to related traits and complications.

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.

2D semiconductors hold promise for solution-processed circuits requiring low-cost components and manufacturing scalability. Here, the authors investigate the criteria for the electrochemical exfoliation of high aspect-ratio nanosheets from 28 different layered materials, identifying the most promising candidates and key bottlenecks for solution-processed complementary electronics and functional circuits.

This study found higher RSV antibody levels were associated with lower RSV risk in children outside the hospital. An earlier rise in incidence and higher incidence rates were observed among children <5 years compared to older children and adults.

Zhou, Novak and colleagues identify that the Caenorhabditis elegans hypodermis, a peripheral liver-like metabolic tissue, regulates memory via insulin/IGF-1 and Notch signaling, and show that activating this pathway rescues CREB-dependent memory in aged worms.

Metformin may serve as a non-toxic intervention to inhibit mitochondrial metabolism and slow DNMT3A-R882 clonal haematopoiesis expansion, thus delaying or averting progression to acute myeloid leukaemia.

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.

The transcription factors TCF1 and LEF1 promote self-renewal and regulatory functions in B-1a cells.

Here the authors unveil the essential role of MCL-1 for adult hair follicle regeneration and inhibition of proliferation stress-induced apoptosis in mice. They also identify a P53/MCL-1/BAK axis balancing proliferation and death of activated hair follicle stem cells to ensure proper hair growth.

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.

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.

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.

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.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

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.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

To better understand the etiology of frailty, the authors perform a large genetic study. They identified 45 additional variants and implicated MET, CHST9, ILRUN, APOE, CGREF1 and PPP6C as potential causal genes, linking frailty to immune regulation, metabolism and cellular signaling.

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.

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.

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.

The transcriptional regulation of the differentiation of innate lymphoid cells remains incompletely characterized. Kaye and colleagues show that the transcriptional regulator TOX is required for the differentiation of common lymphoid progenitors into the innate lymphoid cell lineage.

An RNA-binding protein on leukemia cells provides an effective target in mouse models.

Hydrogel materials have emerged as versatile platforms for biomedical applications. Here this group reports an mRNA lipid nanoparticle-incorporated microgel matrix for immune cell recruitment/antigen expression and presentation/cellular interaction thereby eliciting antitumor efficacy with a single dose.

An aromatic metallo-annulene, comprising a 15-carbon macrocycle enclosing an osmium complex, with the metal residing within the plane of the macrocycle is reported.

The bacterial plant pathogen genus Xanthomonas uses two distinct secretion systems for antibacterial competition. Here the authors show that some Xanthomonas lineages have switched from the ancestral X-T4SS state to T6SS-i4 despite the functional similarity of the systems, with X-T4SS gene clusters subject to degradation and loss and T6SS-i4-encoding sequences inserted through independent gains.

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.

Resistance to menin inhibitors often occurs in the initially sensitive MLL-rearranged (MLLr) leukemias. Here authors discover that inhibition of guanine nucleotide biosynthesis leads to myeloid differentiation and sensitization to menin inhibitors in leukemia stem cells of MLLr leukemia.

Vaccination efficiency in HIV infection is hampered by the low immunogenicity of HIV-1 Env glycoprotein (Env). Here authors optimise the neutralising antibody response to Env by stabilizing the Env trimers in the context of expressing them in a Newcastle Disease Virus-like particle and providing conditions that mimics replicating virus infection.

Akincilar, Fidan et al. report a conserved role for telomerase reverse transcriptase in regulating inflammation via the cGAS–STING nucleic acid-sensing pathway in myeloid cells, independent of its telomerase activity.

The authors analyze rare coding variants in 1990 individuals with congenital kidney anomalies, finding diagnostic variants in 14.1% of cases. They identify two new causal genes, ARID3A and NR6A1, along with 38 candidate genes, providing evidence for shared genetics with other developmental disorders.

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.

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.

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.

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.

A preinfusion circulatory inflammation biomarker-based signature predicts the likelihood of treatment failure in patients with non-Hodgkin lymphoma who were treated with CAR-T cell therapy, with an inflammatory cluster assignment being prognostic of clinical response and survival outcomes.

Hematopoietic deficiency in the Notch target Hes1 results in severe defects in the T cell lineage. Bhandoola and colleagues show that Hes1 constrains myeloid gene-expression programs in T cell progenitors.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

The European Commission has set a regulatory benchmark for classifying green hydrogen in the European Union. New research finds that by regulating the power purchase for electrolysers, emission savings from green hydrogen production is ensured, but cost is also affected.