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Asexual-to-sexual switching underpins malaria transmission. Prajapati et al. identify an AP2-G loss-of function mutation and use it as a genetic tool to show that GDV1 is essential for initial ap2-g activation and sexual commitment initiation.

Cerebrospinal fluid neurofilament light (NfL) is a biomarker for neurodegeneration that can also be assessed in blood. Here the authors show in a validation study the potential for plasma NfL as a biomarker for several neurodegenerative diseases.

Plant traits drive ecosystem dynamics yet are challenging to map globally due to sparse measurements. Here, the authors combine crowdsourced biodiversity observations with Earth observation data to accurately map 31 plant traits at 1 km² resolution.

Multi-ancestry genome-wide and transcriptome-wide association studies of aortic stenosis identify more than 200 independent risk loci and provide insights into its genetic architecture.

Research in the tropics is unevenly distributed across regions and biomes. Here, the authors find that moist broadleaf forests account for 73% of all tropical citations but cover 29% of the land area, while drier, climate-vulnerable areas with fewer trees remain under-sampled and under-cited.

Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

Vassy, Dornisch and colleagues developed a genomics-based prostate cancer risk model to support a randomized clinical trial of precision screening in a national healthcare system.

De novo and inherited dominant variants in genes encoding U4 and U6 small nuclear RNAs are identified in individuals with retinitis pigmentosa. The variants cluster at nucleotide positions distinct from those implicated in neurodevelopmental disorders.

The ALICE Collaboration provides details on the microscopic mechanism that ends up creating antideuteron in high-energy proton–proton collisions at the Large Hadron Collider.

Infant KMT2A-rearranged acute lymphoblastic leukemia is associated with poor overall survival rates. Here, the authors use WGS and WES of 36 relapsed KMT2A-rearranged ALL and AML patients and find alterations in drug response genes in ALL, which may correspond with relapse time. Longitudinal analyses of >250 samples could track residual leukemia cells, clonal drug responses, and the upcoming relapse.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

The authors synthesize bee assemblage data from 681 crop fields across three continents, finding that local pesticide hazards and decreasing adjacent semi-natural habitats both negatively affected wild bee abundance and species richness in crop fields, while pesticides also reduced functional diversity.

Immunoglobulin A protects against infectious disease and contributes to autoimmune and inflammatory disorders. Here, the authors perform a genome-wide association study for serum IgA levels, identifying 20 genome-wide significant loci, providing new insights into the genetic regulation of IgA levels.

Plasma eMTBR-tau243 is a specific biomarker of tau tangles in Alzheimer’s disease and enables the detecting and tracking of Alzheimer’s clinical impairment.

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.

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 development of DNA-based machines is transforming fields such as drug delivery and biosensing. Here, design strategies are discussed and key performance metrics — speed, force generation, efficiency and autonomy — are examined to provide insights into the future of DNA nanotechnology.

A generative artificial intelligence-powered method enables de novo design of highly active enzymes based on information about the geometry of residues in the active site, without requiring protein backbone or sequence information.

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

A PET tracer for α-synuclein would help diagnosis and treatment of α-syn-related diseases. Here the authors show that ACI-12589 shows an uptake in the cerebellar white matter in patients with multiple-system atrophy.

A recombinant antivenom composed of eight nanobodies provides broad protection against venom-induced lethality and dermonecrosis in mice challenged with venoms from cobras, mambas and rinkhals snakes.

Mitochondrial complex I deficiency is the most common respiratory chain defect in mitochondrial disease in children and currently there is no effective treatment. In this study, the authors show that succinate prodrugs can alleviate metabolic decompensation in Leigh syndrome patient fibroblasts.

Idiopathic pulmonary fibrosis is a disease caused by persistent micro-injuries to the lung ultimately resulting in death. Here, the authors describe the use of a small molecule OGG1 inhibitor, TH5487, as a potent and potentially clinically relevant treatment for IPF.

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.

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.

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.

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.

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.

Longitudinal study of plasma biomarkers, in two independent cohorts, highlighted only p-tau217 as a surrogate marker of disease progression in early Alzheimer’s disease, supporting the development of new disease-modifying treatments.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

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.

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.

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.

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 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.

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.

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 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.

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.

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.

The molecular basis of the clinically important MAM blood group antigen present in most humans is unknown. We identify EMP3 as its encoding gene, establishing MAM as a new blood group system, and demonstrate the role of EMP3 in erythropoiesis through its interaction with the signalling molecule CD44.

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.

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.

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.