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Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

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.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

A combination of biochemical, cell biological and electron microscopy analyses reveal a ‘nucleotide code’ that coordinates Lis1–dynein binding stoichiometry, which in turn governs Lis1’s ability to relieve dynein autoinhibition.

The metastatic potential of patients following breast cancer neoadjuvant therapy is highly variable. Here, the authors demonstrated the predictive and prognostic value of ctDNA in 723 patients with high-risk early-stage breast cancer using serial analysis.

Glaciers in New Zealand retreated at about the same time as mid-latitude glaciers in the Northern Hemisphere during Heinrich Stadials, indicating strong global teleconnections during the last glacial period, according to a marine sediment record.

The mechanisms of intratumoral subtype heterogeneity in pancreatic ductal adenocarcinoma (PDAC) remain unclear. Here, the authors analyse PDAC tumours and preclinical models using multi-omics and imaging; they demonstrate that AP1 dichotomy influences tumor plasticity, heterogeneity, and immune response, with potential therapeutic implications.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

Marsh et al. demonstrate that enzymatic dissociation induces an aberrant ex vivo gene expression signature, most prominently in microglia, which when not addressed can substantially confound downstream analyses. They also identify a similar signature in postmortem human brain in snRNA-seq.

Magnetic phase transitions typically lead to changes in a materials magnetostrictive properties. Here, Šiškins et al use the motion of a nanodrum to study the nonlinear magneto-mechanical response of FePS₃, and observe changes in the nonlinear stiffness and damping near the Neel temperature.

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

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.

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.

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.

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.

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.

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.

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.

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.

Here the authors use a range of approaches to examine the interplay between genetic variants linked to risk for polygenic skin diseases and transcription factors (TFs) important for skin homeostasis. The findings implicate dysregulated binding of specific TF families in risk for diverse skin diseases.

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.

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.

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.

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.

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.

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.

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.

The genomic and immune landscape of pre-invasive lung adenocarcinoma is poorly understood. Here, the authors perform exome and transcriptome sequencing on precursor legions and invasive lung adenocarcinomas, identifying recurrently mutated genes in pre/minimally invasive cases, and arm level alteration events linked to immune infiltration.

During chronic but not acute inflammation, chromatin remodelling is influenced by nuclear autophagy through WSTF interaction with ATG8 in the nucleus, leading to WSTF nuclear export and its subsequent degradation.

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.

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.

DeepRETStroke is a deep learning system using retinal photographs to detect silent brain infarction and predict future stroke events.

Light can control neural activity but often requires genetic modification. Here, the authors present a graphene-based platform for non-genetic light controlled neuronal stimulation, enabling all-optical network analysis, stem cell derived neuron maturation, and closed-loop robotics.

Early cancer detection by cell-free DNA (cfDNA) is challenged by the low amount of tumour DNA in cfDNA, tumour heterogeneity and the small patient cohorts. Here, the authors develop a method, cfMethyl-Seq, for cost-effective methylome profiling of cfDNA and for detecting and locating cancer.

Here, the authors clarify the architecture of genetic risk on chromosome X in three male-biased psychiatric disorders. Leveraging this information they identify an exome-wide significant autism risk gene, MAGEC3, and provide a path forward for future gene discovery on this chromosome.

Direct, site-specific methods of protein functionalization are of interest, but challenging due to difficulty in chemically differentiating a single site within a large protein. Here, the authors develop a Copper Assisted Sequence-specific conjugation Tag (CAST) method to achieve rapid, site-specific protein backbone chemical modification with pinpoint accuracy, and prepare various on-demand modified recombinant proteins using CAST.

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.

Zhou and colleagues demonstrate that thiopurine chemotherapy in mismatch repair-deficient ALL cells leads to R248Q TP53 mutations and clonal selection that favors on-treatment ALL relapse and chemoresistance.

Analysis of 46 newly sequenced or re-sequenced Tausch’s goatgrass (Aegilops tauschii) accessions establishes the origin of the bread wheat (Triticum aestivum) D genome from genetically and geographically discrete Ae. tauschii subpopulations.

Fang and colleagues show that the metabolite succinate can inhibit succinylation, and consequently protection from ubiquitin-mediated degradation, of the transcription factor FOXP3, with consequences on T_reg cell-suppressive function and IBD pathology.