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This study reports that de novo germline missense variants in SF3B1, distinct from the somatic variants frequently observed in cancer, cause a neurodevelopmental disorder and disrupt global RNA splicing.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

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.

Long COVID (LC) involves a spectrum of chronic symptoms after resolution of acute severe acute respiratory syndrome coronavirus 2 infection. Barouch and colleagues show that LC is characterized by persistent activation of chronic inflammatory pathways and T cell exhaustion.

Via high-throughput imaging and tracking over 140 million single mycobacteria, the authors show that drug- and strain-specific killing predict treatment outcomes, with potential to improve drug development and personalized therapy.

Differentiating between wild and domesticated South American camelids in the archaeological record can be challenging. Here, the authors use aDNA to infer ancestry of 49 camelids from the South-Central Andes (3,360–2,370 cal. yr BP), finding that most were not ancestors of living camelids and were likely wild, hunted camelids or herded camelids with selective male culling.

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 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.

Bond et al. predict mechanism of action of hit compounds from a pooled screen of Mycobacterium tuberculosis mutants underproducing essential proteins by comparing the strain-specific responses of screening hits to those elicited by known antimicrobials.

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.

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.

Leng et al. establish CRISPRi screens in astrocytes to dissect pathways controlling inflammatory reactivity. They uncover two distinct inflammatory reactive signatures that are inversely regulated by STAT3 and validate that these exist in human disease.

Here the authors show that REST/NRSF represses non-muscle lineage genes in muscle stem cells and progenitors, preserving their identity and differentiation capacity. Loss of REST disrupts gene silencing, impairs muscle regeneration, and leads to stem cell pool depletion.

Integrated single-cell transcriptomic and genetic characterization of 121 adult glioblastomas identifies heterogeneity at cell type, cell state and baseline expression program levels associated with specific mutations that form three stereotypical ecosystems.

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.

Here, Bottery et al show that resistance to next generation antifungals is more likely to occur within azole resistant Aspergillus fumigatus due to the close linkage between a globally distributed azole resistance allele and a DNA repair variant which elevates mutation rates.

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.

Analyses of ancient human DNA show that cultural and political transformations in Central Europe during the second half of the first millennium ce were associated with movements of Slavic populations into Germany, Poland and Croatia.

Analysis of the longest-lived mammal, the bowhead whale, reveals an improved ability to repair DNA breaks, mediated by high levels of cold-inducible RNA-binding protein.   

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.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Phylogenetic compression achieves performant and lossless compression of massive collections of microbial genomes, facilitating fast BLAST-like search and versatile alignment tasks.

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.

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 study reports whole-genome sequences for 490,640 participants from the UK Biobank and combines these data with phenotypic data to provide new insights into the relationship between human variation and sequence variation.

The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes.

Cells must coordinate cell division with genome replication. Here, the authors combine rapid protein depletion, clinical CDK4/6 inhibitors, and genome-wide EdU sequencing to reveal that the CDK4/6-RB axis ensures timely loading of DNA replication factors in G1 phase in human cells.

To address the question of whether a recurrent tumour is genetically similar to the tumour at diagnosis, the evolution of medulloblastoma has been studied in both an in vivo mouse model of clinical tumour therapy as well as in humans with recurrent disease; targeted tumour therapies are usually based on targets present in the tumour at diagnosis but the results from this study indicate that post-treatment recurring tumours (compared with the tumour at diagnosis) have undergone substantial clonal divergence of the initial dominant tumour clone.

Assaad, Hadi and Levine et al. develop a whole-genome sequencing classifier to improve the detection of homologous recombination deficiency (HRD) across a pan cancer cohort. The classifier detects HRD beyond BRCA1/2 mutations, reveals HRD-related genomic events, and correlates with treatment response in a subset of patients.

Linnerbauer and colleagues find that HB-EGF produced by reactive astrocytes is protective during autoimmune neuroinflammation, but epigenetically suppressed during late stages.

It remains unclear why some paediatric tumours appear to have such a low mutation burden. Here, the authors shed light on this paradox by analysing Wilms tumours using high resolution and high depth sequencing approaches, finding that - due to an unusual clonal architecture - standard methods significantly underestimate the mutation burden at the cellular level.

Whole-gene sequencing of microdissected gastric glands from individuals with and without gastric cancer reveals distinct patterns of somatic mutations and provides insights into influences on the somatic evolution of the gastric epithelium.

A new computational method integrates whole-genome sequencing and transcriptomic data to identify regulatory noncoding variants in an individual cancer genome.

Here the authors analyse rare coding variants to identify schizophrenia risk genes. Associations are reported at exome-wide significance for STAG1 and ZNF136, and at a false discovery rate of 5% for SLC6A1, PCLO, ZMYND11, BSCL2, KLC1 and CGREF1.

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.

Claudia Langenberg, James Meigs and colleagues apply a joint meta-analysis approach that accounts for differences in body mass index to identify variants associated with glycemic traits. They report six new loci associated with fasting insulin levels and provide insights into the genetic basis of insulin resistance.

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 sequencing chemistry that separates nucleotide identification from nucleotide incorporation achieves high accuracy.

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.

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.