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Application of multiancestry and ensemble-based approaches yields improved polygenic risk prediction models for breast cancer and its subtypes among women of African ancestry.

CDK4/6 inhibitors are promising treatments for ER+ breast cancer, however resistance remains a challenge. Here, the authors analyse the NeoPalANA cohort and indicate that a 33 gene signature was predictive of response to neoadjuvant anastrozole and palbociclib.

Affinity-proteomics platforms often yield poorly correlated measurements. Here, the authors show that protein-altering variants drive a portion of inter-platform inconsistency and that accounting for genetic variants can improve concordance of protein measures and phenotypic associations across ancestries.

Researchers studied the blood-based metabolome of over 23,000 people from ten ethnically diverse cohorts. They identified 235 metabolites associated with future risk of type 2 diabetes (T2D). By integrating genetic and modifiable lifestyle factors, their findings provide insights into T2D mechanisms and could improve risk prediction and inform precision prevention.

While antivirals like nirmatrelvir/ritonavir and molnupiravir are known to reduce severe COVID-19, their impact on cardiovascular outcomes is unclear. Here, the authors use a target trial emulation design to show that nirmatrelvir/ritonavir significantly lowers long-term cardiovascular risks among hospitalized patients, highlighting its potentials over molnupiravir for mitigating post-COVID-19 cardiovascular complications.

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.

Pan-expansion microscopy of tissue combines staining of proteins and lipids with immunolabeling.

Heo, Xu et al. used comprehensive plasma proteomics to identify 416 plasma proteins (294 new) associated with Alzheimer’s disease and applied machine learning to select 7 proteins that were highly predictive of Alzheimer’s disease across multiple cohorts.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

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.

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.

This Consensus Statement presents the standards for technical reporting in environmental and host-associated microbiome studies (STREAMS) guidelines.

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.

Here, the authors integrate genomic and transcriptomic data obtained from African-ancestry female participants and identify six genes associated with breast cancer risk which provides biological insights into this common cancer in an underrepresented population.

SARS-CoV-2 rebound is a recurrence of symptoms or return to test positivity after initial recovery. Here, the authors demonstrate an association between SARS-CoV-2 rebound and post-acute COVID conditions using data from Hong Kong.

The tumor environment is nutrient deficient. Here the authors show that early availability of methionine is critical for optimal T cell activation and prevents T cell dysfunction, and that dietary methionine can improve the efficacy of cancer immunotherapy in mice.

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.

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.

Regulatory T (Treg) cells are important modulators of the tumor microenvironment. Here the authors perform transcriptome profiling of immune cells from patients with renal clear cell carcinoma to find a Treg signature that correlates with poorer prognosis, with CD177 being implicated as the main mediator for related alterations in Treg activity and tumor outcome.

Meng et al. develop the adeno-associated virus 9-based therapy CM-YAP^on to transiently and inducibly express YAP in the heart. In mice, CM-YAP^on promoted cardiomyocyte cell cycle reentry and reprogrammed the cardiac microenvironment. The CM-YAP^on gene therapy improved cardiac function after myocardial infarction (MI) and conferred cardioprotection before MI.

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.

Short-read sequencing has inherent limitations in the characterisation of long repeat elements. Shi and Guo et al.combine single-molecule real-time sequencing and IrysChip to construct a Chinese reference genome that fills many gaps in the reference genome, and identify novel spliced genes.

Multi-ancestry fine-mapping of breast cancer susceptibility regions identifies candidate causal variants and prioritizes likely effector genes supported by functional genomic evidence.

In November 2023, the Division of Aging Biology of the National Institute on Aging held a workshop to discuss the long-term effects of pregnancy on aging. A synthesis of these discussions and a set of considerations are presented in this Meeting Report.

The role of vascular plasticity in brain function remains poorly understood. Here, the authors demonstrate that a significant portion of blood vessels in the adult brain periodically occlude and regress, a process that is associated with a reduction in neuronal activity.

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.

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.

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 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.

Data from over 700,000 individuals reveal the identity of 83 sequence variants that affect human height, implicating new candidate genes and pathways as being involved in growth.

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.

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.

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.

This paper reports integrative molecular analyses of urothelial bladder carcinoma at the DNA, RNA, and protein levels performed as part of The Cancer Genome Atlas project; recurrent mutations were found in 32 genes, including those involved in cell-cycle regulation, chromatin regulation and kinase signalling pathways; chromatin regulatory genes were more frequently mutated in urothelial carcinoma than in any other common cancer studied so far.

A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.

Structural variants (SVs) in human genomes contribute diversity and diseases. Here, the authors use a multi-platform strategy to generate haplotype-resolved SVs for three human parent–child trios.

Z. Liu, Y. Liu and Z. Yu et al. discovered a subtype of valve interstitial cells underneath the valve endothelial cells sensing unidirectional flow. These cells express high levels of APOE, which is responsible for JAG1–NOTCH2-mediated fetal elastogenesis.

Exome-wide analysis identifies rare and low-frequency coding variants associated with body mass index. Gene-based meta-analysis and functional studies implicate 13 genes, eight of which are novel, and neuronal pathways as factors in human obesity.

A sequencing chemistry that separates nucleotide identification from nucleotide incorporation achieves high accuracy.

Images made up of metal-nanostructure pixels could be used for security or optical data storage.

Improved imaging methods are crucial to map pancreatic ductal adenocarcinoma (PDAC). Here, the authors analyse PDAC samples using spatial transcriptomics and proteomics, identify claudin-4 as a potential theranostic target, and develop an imaging agent to track claudin-4 in primary and metastatic PDAC tumours.

It is commonly assumed that bacterial cells within biofilms are glued together by matrix components, but the details are poorly understood. Here, Moreau et al. show how dynamic changes in attractive and repulsive interactions between cells and various matrix components drive biofilm growth and disassembly in Vibrio cholerae.

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.

Genome-wide association analyses identify risk loci for breast cancer in women of African ancestry. Polygenic risk scores derived from these data improve ancestry-specific risk prediction.

For many neurodevelopmental disorder (NDD) risk genes, the significance for mutational burden is unestablished. Here, the authors sequence 125 candidate NDD genes in over 16,000 NDD cases; case-control mutational burden analysis identifies 48 genes with a significant burden of severe ultra-rare mutations.

A strategy for inferring phase for rare variant pairs is applied to exome sequencing data for 125,748 individuals from the Genome Aggregation Database (gnomAD). This resource will aid interpretation of rare co-occurring variants in the context of recessive disease.

Combinatorial CRISPR screens are improved by using Cas9 enzymes from two different organisms.

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.