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Analyses of snRNA genes in a French cohort of people with rare disorders, with validation through international collaboration, identify monoallelic and biallelic variants in RNU2-2 as frequent causes of neurodevelopmental disorders with epilepsy.

Patients with myelodysplastic syndromes (MDS) have limited therapeutic options. Here the authors show that functionally impaired NK cells contribute to immune escape of pre-malignant clones in early stage MDS and that NK adoptive cell therapy can be considered to prevent or delay the development of MDS.

Magrinelli et al. link biallelic PSMF1 variants to phenotypes from parkinsonism to perinatal lethality, implicating proteasomal and mitochondrial dysfunction. PI31 loss in fly and mouse models causes age-dependent motor deficits and neurodegeneration.

Raam, Li, Gu and colleagues identify neural mechanisms underlying group huddling in mice during cold exposure. They find that the prefrontal cortex encodes decisions to huddle and that silencing neural activity in some animals causes partners to compensate in response.

Zeng et al. show that TDP-43, known for repressing cryptic exon usage in frontotemporal dementia/amyotrophic lateral sclerosis, also controls alternative polyadenylation, impacting expression of disease-linked genes (SFPQ, NEFL and TMEM106B).

ATF6α activation in human and preclinical models of hepatocellular carcinoma is significantly associated with an aggressive tumour phenotype characterized by reduced survival, glycolytic reprogramming and local immunosuppression.

The authors resolve 63 structurally diverse haplotype structures for the 22q11.2 deletion syndrome region. Deletion risk differs depending on structure; individuals of African ancestry are enriched for inverted repeats that predispose to inversion.

Genomic analyses suggest that ~15% of transcript molecules are spliced into unproductive transcripts targeted by nonsense-mediated decay, which have a larger effect on gene expression than previously thought.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

The aging immune system is characterized by changes in immune cell frequencies and functionality. Here the authors report dynamics of age-related divergence of circulating immune responses in patients with solid tumors treated with immune checkpoint inhibitors

Decreased brain volumes and increased NfL levels can be observed earlier than disease diagnosis in short-tandem-repeat-associated neurological diseases.

From 2014–2017, marine heatwaves caused global mass coral bleaching, where the corals lose their symbiotic algae. The authors find, this event exceeded the severity of all prior global bleaching events in recorded history, with approximately half the world’s reefs bleaching and 15% experiencing substantial mortality.

The authors identify brain RNA targets for TDP-43, a RNA binding protein linked to ALS. RNAs derived from genes with very long introns were more affected by TDP-43 levels. TDP-43 also auto-regulated its own synthesis, partly by binding and enhancing the splicing of an intron in its 3′ UTR

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.

Multidomain RNA-binding proteins recognize specific target sequences through mechanisms that are not well understood. Here the authors present an integrated approach to define the RNA-binding specificity and RNP topology and apply it to the analysis of the prototypical multidomain RNA-binding protein IMP3.

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.

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.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

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.

Similarities in cancers can be studied to interrogate their etiology. Here, the authors use genome-wide association study summary statistics from six cancer types based on 296,215 cases and 301,319 controls of European ancestry, showing that solid tumours arising from different tissues share a degree of common germline genetic basis.

Sparse labelling and whole-brain imaging are used to reconstruct and classify brain-wide complete morphologies of 1,741 individual neurons in the mouse brain, revealing a dependence on both brain region and transcriptomic profile.

Liver neuroendocrine neoplasms (NEN) without clinically known primary tumor are often classified as primary hepatic NEN. Here, the authors build a classifier accurately predicting the origin sites for NEN based on DNA methylation patterns and show that hepatic NEN with unknown primary tumor are predicted to display a non-hepatic origin.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

Stephanie London, Martin Tobin and colleagues report meta-analyses of genome-wide association studies for forced vital capacity (FVC), a spirometric measure of pulmonary function that reflects lung volume. They identify six regions newly associated with FVC and demonstrate that candidate genes at these loci are expressed in lung tissue and primary lung cells.

Increasing evidence suggests that activation of oncogenic pathways contributes to an unfavorable tumor microenvironment. Here, the authors show that wild-type KRAS plays a key role in immune evasion in hepatocellular carcinoma by impairing interferon-mediated immunity and promoting resistance to immunotherapy via the EGFR/MEK/ERK pathway.

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.

Mastomys natalensis, a mouse found closely to rural human dwellings in Sub-Saharan Africa, is a major reservoir for Lassa Virus (LASV). Here, the authors show that LASV causes transient infections in adult M. natalensis, but persistent infections in young animals despite antibodies. LASV is found in various organs without causing pathology and infected animals efficiently transmit the virus.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

Employing a candidate gene approach, Mancina et al. identify a genetic variant of the Pleckstrin and Sec7 domain-containing 3 (PSD3) gene that reduces susceptibility to fatty liver disease. Functional studies in vitro and in vivo demonstrate that targeting PSD3 protects against fatty liver disease.

Pooling participant-level genetic data into a single analysis can result in variance stratification, reducing statistical performance. Here, the authors develop variant-specific inflation factors to assess variance stratification and apply this to pooled individual-level data from whole genome sequencing.