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The Taiwan Precision Medicine Initiative recruited and genotyped more than half a million Taiwanese participants, almost all of Han Chinese ancestry, and performed comprehensive genomic analyses and developed polygenic risk score prediction models for numerous health conditions.

Response to immune therapy varies among cancer types and individual cancer patients; thus, predictive biomarkers of success are urgently needed. Here, the authors present a computational framework that integrates tumor clonality and neoantigen characterization data to predict patient outcomes upon immune checkpoint inhibitor treatment.

Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

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.

MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language models on real-world clinical tasks.

A majority methylammonium and iodine edge termination is observed by electron ptychography in the perovskite methylammonium lead iodide, and the stability of its edges and internal defects depends on the concentration and type of vacancies present.

Polycystic ovary syndrome (PCOS) is a common disorder, the causes of which remain incompletely understood. Here the authors report the discovery of gene regulatory mechanisms that help to explain genetic associations with PCOS in the GATA4, FSHB and DENND1A loci.

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

Glioblastoma (GBM) is characterized by a high degree of heterogeneity and plasticity due to interplay with neural developmental programs. Here, the authors develop a model of GBM by introducing sequential oncogenic mutations in human neural stem cells and using this, identify INSM1 as a driver of a neural progenitor gene network promoting tumorigenesis.

Species’ traits and environmental conditions determine the abundance of tree species across the globe. Here, the authors find that dominant tree species are taller and have softer wood compared to rare species and that these trait differences are more strongly associated with temperature than water availability.

A multi-ancestry genome-wide association meta-analysis of kidney cancer identifies 63 regions associated with disease susceptibility including one locus that was associated with increased risk in individuals with African ancestry.

nELISA miniaturizes the sandwich immunoassay and transforms it into a massively scalable platform for quantitative proteomics.

Therapeutic options for patients with renal medullary carcinoma (RMC) are limited. Here the authors report the results of a phase II clinical trial of anti-PD1 nivolumab plus anti-CTLA4 ipilimumab in RMC, associating the activation of a myeloid mimicry program in tumor cells to the rapid disease progression and hyper-progression observed in treated patients.

The presentation of systemic lupus erythematosus has been known to differ by ancestry, but the underlying genetic factors remain unclear. Here, the authors report ancestry-specific susceptibility loci and better risk prediction when using data from matched ancestral groups.

Adjuvants are an important component of modern vaccines. Here, the authors employ a phenotypic screen of ~200k compounds and identify PVP-057, a TLR3 agonist with a simple scalable 3-step synthesis, as an adjuvant that induces durable humoral and cellular immunity to varicella-zoster virus (VZV) gE in mice.

An increasing number of inflammatory pathologies is associated with IL-1 production downstream of caspases 1 and 11. Here the authors show that graft-versus-host-disease (GvHD) is diminished in mice with genetic or pharmacological ablation of caspase-11, and provide mechanistic insights into the signals leading to caspase-11 activation in GvHD.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.

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.

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.

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.

When interfaced with a current-carrying heavy metal, spin orbit effects can generate a torque on the magnetization of a ferromagnet, understood as a bulk effect. Here, the authors show evidence of an interfacial contribution to such spin orbit torque in O-doped W/CoFeB thin film systems.

The reaction O(³P) + H₂ → OH(X²Π) + H has, until now, eluded detailed experimental investigation. Now, a laser-induced fluorescence study of the deuterated analogue has revealed product-state distributions that defy the current descriptions of non-Born–Oppenheimer mixing on coupled potential energy surfaces, issuing new challenges to theory.

Genome-wide association analyses of prostate cancer in men from sub-Saharan Africa identify population-specific risk variants and regional differences in effect sizes. Founder effects contribute to continental differences in the genetic architecture of prostate cancer.

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.

Several studies show that APOE-ε4 coding variants are associated with Alzheimer’s disease (AD) risk. Here, Zhou et al. perform fine-mapping of the APOE region and find AD risk haplotypes with non-coding variants in the PVRL2 and APOC1 regions that are associated with relevant endophenotypes.

Systemic lupus erythematosus (SLE) is an autoimmune disease with a strong ethnic and gender bias. In a transancestral genetic association study, Langefeldet al. identify 24 novel regions associated with risk to lupus and propose a cumulative hits hypothesis for loci conferring risk to SLE.