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The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

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.

DNA-sequencing data from primary tumours and paired metastases from participants in the TRACERx lung study and PEACE autopsy programme are used to analyse the metastatic diversity of advanced non-small cell lung cancer and the seeding patterns that underpin it.

The study identifies novel genetic variants linked to core cerebrospinal fluid Alzheimer’s Disease biomarkers using a genome-wide analysis, showing how endophenotypes can identify genes and disease mechanisms not captured by case-control studies.

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.

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.

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.

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.

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.

SARS-CoV-2 infection is associated with an increased risk of arterial and venous thrombotic events. Here, the authors investigate the degree to which this association is modified by virus variant and vaccination using electronic health record data for ~18 million adults in England.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Genome-wide analysis coupled with long-read sequencing identifies a repeat expansion in GOLGA8A associated with high risk for atypical frontotemporal lobar degeneration with ubiquitin-positive inclusions.

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

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 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.

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.

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.

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.

The authors present nuclear magnetic resonance data on lanthanum superhydrides (LaHx) under high pressure. They find that the hydrogen is in a highly diffusive state which results in a dynamic de-hydrogenation of the sample on a time scale of weeks.

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.

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.

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.

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.

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.

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.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

The heterogeneity of whole-exome sequencing (WES) data generation methods presents a challenge to joint analysis. Here, the authors present a bioinformatics strategy to generate high-quality data from processing diversely generated WES samples, as applied in the Alzheimer’s Disease Sequencing Project.

A series of spontaneously blinking dyes in the far-red range facilitate single-molecule localization microscopy. These dyes vary in their blinking properties and can be matched to the applications and microscopy modalities as needed.

A sophisticated study of error-related brain potentials in patients with prefrontal lesions addresses how we monitor performance and adjust cognitive control based on task demands.

Mutations in amyloid precursor protein (APP) and presenilin 1 (PSEN1) cause autosomal dominant AD (ADAD). Here, the authors perform single-nucleus RNA-sequencing of ADAD and other disease risk modifying variant carriers and report altered expression states of specific brain cell types.

Meningeal lymphatic drainage can affect the microglial inflammatory response and anti-amyloid-β immunotherapy in mouse models of Alzheimer’s disease.

Evo 2 is an artificial intelligence-based biological foundation model trained on 9 trillion DNA base pairs spanning all domains of life that predicts functional properties from genomic sequences and provides a rich generative model for researchers in biology.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

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.

A multi-cohort genome-wide association study of tau PET, a brain imaging-based marker of Alzheimer’s disease, identifies a CYP1B1-RMDN2 locus as associated with higher tau and faster cognitive decline. These results suggest a new genetic contribution to cerebral tau and target for Alzheimer’s disease research.

In gastrointestinal stromal tumours early mutations in known genes are frequently followed by chromosome 14q deletion. Here the authors find mutations resulting in loss of MAX protein expression conserved between primary tumours and metastases in the same patients, suggesting thatMAXmutation is an early event.

Perivascular and leptomeningeal macrophages, collectively termed here parenchymal border macrophages, are shown to regulate flow dynamics of cerebrospinal fluid, implicating this cell population as new therapeutic targets in neurological diseases such as Alzheimer’s.

Leveraging pythons as an extreme model of feeding and fasting behaviour, this study uncovers para-tyramine-O-sulphate as a conserved postprandial metabolite that links nutrient intake to energy balance by activating hypothalamic neurons and suppressing food intake in pythons and mice.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

It's not surprising that some academic papers seem to swim before our eyes — the scientific literature has become steadily less accessible over the past half-century. Can we stop this trend, asks Jonathan Knight.

Genetic deletion or transcriptional silencing of HERV-H elements in human pluripotent stem cells (hPSCs) eliminates nearby topologically associating domain boundaries, while de novo insertion of HERV-H elements can introduce new ones. Mutations of specific HERV-H elements can impact hPSC differentiation.

Last month, a handful of scientists who have toyed with the idea of writing for the movies were given a masterclass by Tinseltown's finest. Jonathan Knight joined them.