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The HNF4α gene contains two promoters, which are thought to be active in the fetal and adult liver, the latter contributing to hepatic glucose production. Here the authors show that the fetal isoform of HNF4a is induced in mouse livers upon fasting and in type-2 diabetes in a manner regulated by TET3.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

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.

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.

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.

Stratified medicine promises to tailor treatment for individual patients, however it remains a major challenge to leverage genetic risk data to aid patient stratification. Here the authors introduce an approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue-specific gene expression levels, and highlight its ability to identify biologically meaningful and clinically actionable patient subgroups, supporting the notion of different patient ‘biotypes’ characterized by partially distinct disease mechanisms.

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.

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.

An assessment of the habitat of native vertebrate species burnt by the 2019–2020 Australian mega-fires shows that 70 taxa were severely affected.

Sexual dimorphism in genetic vulnerability to schizophrenia, systemic lupus erythematosus and Sjögren’s syndrome is linked to differential protein abundance from alleles of complement component 4.

Investigation of variation in three cohorts has identified multiple genetic signals associated with the pregnancy-specific liver disorder, intrahepatic cholestasis of pregnancy, giving insight into the disease which can cause preterm birth and stillbirth.

The Sc2.0 consortia is reengineering the yeast genome. To expand the Sc2.0 genetic repertoire, the authors build a neo-chromosome comprising variable loci from diverse yeast isolates, providing phenotypic plasticity for use in synthetic backgrounds.

The CNV analysis group of the Psychiatric Genomic Consortium analyzes a large schizophrenia cohort to examine genomic copy number variants (CNVs) and disease risk. They find an enrichment of CNV burden in cases versus controls and identify 8 genome-wide significant loci as well as novel suggestive loci conferring either risk or protection to schizophrenia.

Whole-genome sequencing analysis of individuals with primary immunodeficiency identifies new candidate disease-associated genes and shows how the interplay between genetic variants can explain the variable penetrance and complexity of the disease.

Julie Williams and colleagues report a genome-wide association study for Alzheimer's disease. They identify variants at the CLU and PICALM loci associated with susceptibility to late-onset Alzheimer's disease.

Sequences of high-resolution radio images and optical polarization measurements of the blazar BL Lacertae are reported. The data reveal a bright feature in the jet that causes a double flare of radiation from optical frequencies to TeV γ-ray energies. It is concluded that the event starts in a region with a helical magnetic field as envisaged by the theories.

The MAGIC investigators report results of a large genome-wide association study meta-analysis to identify common variants influencing fasting glucose homeostasis. They further show that several of the newly discovered loci influencing glycemic traits are also associated with risk of type 2 diabetes.

Little is known about the transcription factors that facilitate NK cell differentiation. Brady and colleagues find that the basic leucine zipper transcription factor E4bp4 is essential for NK cell development in mice.

Comparisons within the human pangenome establish that homologous regions on short arms of heterologous human acrocentric chromosomes actively recombine, leading to the high rate of Robertsonian translocation breakpoints in these regions.

This study uses gene expression predictors for the dorsolateral prefrontal cortex and other brain regions to perform a transcriptomic imputation analysis of schizophrenia, identifying 413 genic associations across 13 brain regions and 36 significantly enriched pathways.

A multi-centre genome-wide association study of severe malaria in African children uncovers a new resistance locus close to a cluster of genes encoding glycophorins, which are receptors used by the malaria-causing parasite to invade red blood cells.

Building shapes are making exciting departures from the rectilinear boxes that have dominated in architectural history, leading people to draw similes with the natural world. But there is the potential for architects to learn more deeply from nature, and use biomimetic materials and technologies in improved buildings for the future.

Relatives of patients with amyotrophic lateral sclerosis have an unexpectedly high incidence of schizophrenia. Here, the authors show a genetic link between the two conditions, suggesting shared neurobiological mechanisms.

The authors defined a roadmap for investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders. Their proof-of-concept study using the largest available common variant data sets for schizophrenia and volumes of several (mainly subcortical) brain structures did not find evidence of genetic overlap.

Julie Williams, Michael Owen and colleagues report staged follow-up and meta-analyses of genome-wide association studies for Alzheimer's disease from the GERAD+ consortium. They identify common variants at ABCA7 and MS4A6A/MS4A4E associated with Alzheimer's disease and support for several additional susceptibility loci.

A clock synchronization method, which is based on optical clock distribution and clock phase caching, can provide subnanosecond clock and data recovery times for fast optical switching in large-scale data centre networks using off-the-shelf commercial transceivers.

The Royal Society International Seminar Consortium describes what the next decade of mental-health drug development should look like.

Dominic Kwiatkowski and colleagues of the MalariaGEN and the WTCCC consortiums report a genome-wide analysis of severe malaria in The Gambia. They provide guidance for design of GWAS in African populations, and demonstrate the usefulness of multipoint imputation based on population-specific sequencing data.

Christopher Newton-Cheh and colleagues report a genome-wide association study for blood pressure traits as part of the Global BPgen consortium. They report eight loci with replicated association to systolic and/or diastolic blood pressure, with each also showing association to hypertension.