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Analysis of snRNA genes in individuals with rare disorders identifies de novo and recurrent variants in RNU5B-1 and RNU5A-1, in addition to previously unreported cases with pathogenic or likely pathogenic variants in RNU4-2.

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.

Surprisingly consistent replication failure of gray matter correlates of childhood maltreatment raises questions about publication bias in prior literature and about prevailing models linking maltreatment to brain structure in adult populations.

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.

TCR-TRANSLATE, a deep learning framework adapting machine translation to immune design, demonstrates the successful generation of a functional T cell receptor sequence for a cancer epitope from the target sequence alone.

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.

The US COVID-19 Scenario Modeling Hub produced medium to long term projections based on different epidemic scenarios. In this study, the authors evaluate 14 rounds of projections by comparing them to the epidemic trajectories that occurred, and discuss lessons learned for future similar projects.

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.

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.

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.

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).

This analysis of whole-genome sequencing data from 421 multiple myeloma samples elucidates the timing of key genomic events and shows associations between the timing of 1q gain and clinical outcome.

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.

Not all megakaryocytes are created equal, with sub-populations identified that generate platelets and differentially regulate blood stem cells. These sub-populations, conserved in humans, are important in treating blood and clotting disorders.

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.

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.

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.

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 blood-brain barrier (BBB) regulates the extracellular composition of the central nervous system (CNS), but it is not known whether its properties differ across CNS regions. Here, the authors show in mice that the BBB exhibits regional specializations, and that such specializations can be important for the function of specific neural circuits.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

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 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.

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.

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.

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.

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.

Serpentine subducted below the Lesser Antilles volcanic arc supplies water to the arc, controlling the location of seismicity, volcanic productivity and thickness of crust.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

The vectorial force fields of singly clamped nanowires are imaged by measuring the pertubation of the spectral and geometrical properties of the thermal noise of the nanowires.

Small intestinal neuroendocrine tumours (siNETs) are rare bowel tumors generally considered to be a single entity. Here, the authors perform a multiomics analysis of siNETs and reveal four distinct molecular groups with clinical relevance, including groups linked to differentiation patterns, immunity, and mesenchymal properties.

Analysis of data from multiple instruments reveals a giant exoplanet in orbit around the 0.2-solar-mass star TOI-6894. The existence of this exoplanetary system challenges assumptions about planet formation and it is an excellent target for atmospheric characterization.

Loiasis poses significant treatment challenges, particularly in regions where onchocerciasis is hypoendemic and coendemic. Here, the authors demonstrate that a 5-day levamisole regimen is safe and more effective than shorter treatments in reducing Loa loa microfilarial densities, offering an alternative approach for managing loiasis in affected areas.

In the phase 2 study LCCC1520 (NCT02690558), clinical activity of pembrolizumab in combination with gemcitabine and cisplatin as neoadjuvant therapy in patients with muscle-invasive bladder cancer has been reported. Here the authors present molecular and immune cellular features associated with response to neoadjuvant chemo-immunotherapy.

Electrical excitability in neuroendocrine SCLC cells promotes tumour progression through action potential firing, increasing ATP demand and oxidative phosphorylation dependency, whereas non-neuroendocrine cells provide metabolic support, driving a tumour-autonomous cycle that enhances tumorigenesis and metastasis.

Alterations of therapeutic pressures have been shown to affect clonal evolution of resistance. Here, the authors conducted a single arm, phase 2 trial consisting of alternating osimertinib and gefitinib in non-small cell lung cancer, and found ctDNA dynamics were predictive of response.

A20, encoded by TNFAIP3, is a negative-feedback inhibitor of NF-κB. Grey and colleagues identify natural human variants of TNFAIP3, which lower A20 activity and increase autoinflammatory responses. These alleles were inherited by descendants of Denisovans who crossed the Wallace Line to inhabit Oceania.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

COVID-19 can be associated with neurological complications. Here the authors show that markers of brain injury, but not immune markers, are elevated in the blood of patients with COVID-19 both early and months after SARS-CoV-2 infection, particularly in those with brain dysfunction or neurological diagnoses.

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.

Two-dimensional synthetic polymers can be produced through solid-state topochemical polymerization, but achieving this through a single-crystal-to-single-crystal transformation has not yet been demonstrated. Now, a fluorinated Y-shaped monomer has been preorganized in a lamellar crystal, which goes through two successive single-crystal-to-single-crystal phototransformations to give a 2D polymer; single-crystal X-ray diffraction has been used to elucidate its structure.

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.