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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.

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.

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.

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

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.

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.

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 cell states and lineage connections underlying the progression from Barrett’s esophagus to esophageal adenocarcinoma remain unresolved. Here, the authors use single-cell lineage tracing and transcriptomics to analyse patient samples from the gastroesophageal junction and identify cellular relationships in the progression of Barrett’s esophagus to cancer.

The evolution of cutaneous squamous cell carcinoma (cSCC) remains poorly understood. Here, the authors employ multi-omics and multi-scale analyses to explore the genetic evolution of keratinocytes to cSCC, finding key pathogenic mutations that break the resistance to ultraviolet radiation as well as spatial heterogeneity patterns.

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.

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.

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.

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.

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.

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 genetic susceptibility to breast cancer remains understudied in non-European populations. Here, the authors analyse pathogenic variants associated with breast cancer susceptibility in Hispanic/Latina women using genomics, and find that loss of function variants in FANCM are strongly associated with ER-negative breast cancer risk.

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.

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.

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.

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.

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.

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.

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.

Ataxia telangiectasia and Rad3-related kinase (ATR) is a rational radiosensitization target. This trial evaluates the combination of the ATR inhibitor, ceralasertib, with palliative radiotherapy in 27 patients with advanced solid tumors.

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.

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.

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.

Genome-wide association analyses based on whole-genome sequencing and imputation identify 40 new risk variants for colorectal cancer, including a strongly protective low-frequency variant at CHD1 and loci implicating signaling and immune function in disease etiology.

The GREGoR consortium provides foundational resources and substrates for the future of rare disease genomics.

Analysis of genomic data from 981 colorectal cancers from participants in 11 countries reveals variations in mutational signatures of microsatellite-stable cancers that are dependent on geographical origin and age at which the cancer was diagnosed.

DNA is an attractive digital data storing medium due to high information density and longevity. Here the authors use millions of sequences to investigate inherent biases in DNA synthesis and PCR amplification.

Peptidoglycan fragments derived from gut bacteria modulate aspects of the host’s health. Here, Li et al. profile peptidoglycan fragments in the host gut and show that one of them, the disaccharide GlcNAc-MurNAc, acts as a mild TLR4 agonist and protects against gut inflammation.

Glioma tumours are known to be heterogenous in mutation and gene expression patterns, but sampling limitations can lead to inaccurate detection of evolutionary events. Here, the authors carry out multi-omics analysis of multi-regional biopsies from 68 patients and show differential mutations in non-enhancing regions.

The spatiotemporal activation of phagocytosis by hair follicle cells is orchestrated by lipids released from surrounding apoptotic cells and retinoids released by healthy cells.

A six-letter sequencing workflow can simultaneously detect genetic and epigenetic bases.

Whole-genome sequencing of an ancient male Egyptian revealed a mixture of North African Neolithic and eastern Fertile Crescent ancestry, suggesting human migration between Egypt and Mesopotamia by the Old Kingdom period.

Van Haute et al describe autosomal recessive TEFM variants that impair mitochondrial transcription elongation and reduce the levels of promoter distal mitochondrial RNA transcripts, leading to heterogeneous mitochondrial diseases with a treatable neuromuscular transmission defect.

Genetic variation predisposes to disease via monogenic and polygenic risk variants. Here, the authors assess the interplay between these types of variation on disease penetrance in 80,928 individuals. In carriers of monogenic variants, they show that disease risk is a gradient influenced by polygenic background.

Here, Isaacs, Nieto and Zhang et al. discover a potent nanobody and engineer a dual-action antibody that targets two viral proteins, offering strong protection against Nipah and Hendra viruses while preventing viral escape, potentially contributing to future treatments.

Analysis of medulloblastomas in humans and mice shows that the functional consequences of ZIC1 mutations are exquisitely dependent on the cells of origin that give rise to different subgroups of medulloblastoma.

Many rare high-impact variants have been associated with disease, but the origins and functional impact are not always explored. Here, the authors trace the ancestry of a rare high impact atrial fibrillation allele in KCNQ1, and use iPSC-derived cardiomyocytes to characterize the effect of the allele.