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Here the authors perform a trans expression quantitative trait locus meta-analysis study of over 3,700 people and link a USP18 variant to expression of 50 inflammation genes and lupus risk, highlighting how genetic regulation of immune responses drives autoimmune disease and informs new therapies.

A very uncommon detached binary system with a 20.5-min orbital period has been discovered to harbour a carbon–oxygen white dwarf star and a low-mass subdwarf B star with a seven-Earth radius that traces the theoretical limit of binary evolution predicted 20 years ago.

Mendelian randomization (MR) identifies causal relationships from observational data but has increased error rates when the genetic variants used as instruments come from a single region, a typical scenario when assessing molecular traits like protein or metabolite levels as risk factors. Here the authors introduce a single-region pleiotropy-robust MR method, validating the method on three ground truth sources, showing its capability to identify disease-causing molecular traits.

Current models of Galactic chemical evolution under predict the phosphorus we observe in our Solar System. Here, the authors show the discovery of 15 phosphorus-rich stars with a peculiar abundance pattern that challenges the present stellar nucleosynthesis theoretical predictions, but which could explain the missing source of phosphorus in the Galaxy.

Analyses of expression profiles from whole blood of 31,684 individuals identify cis-expression quantitative trait loci (eQTL) effects for 88% of genes and trans-eQTL effects for 37% of trait-associated variants.

Numerous eclipses have been observed towards the binary central star of planetary nebula WeSb 1, probably caused by debris from disintegrated rocky bodies. This finding suggests that planetary systems undergo a violent evolution during the planetary nebula stage.

The authors identify genetic variation associated with properties of the internal biological structures of blood cells in hundreds of genes and show how such discoveries can be used to improve understanding of cellular mechanisms causing disease.

Circulating metabolites reflect complex disease risk and are shaped by diverse genetic factors. Here, the authors show widespread pleiotropy across 249 metabolic traits, identify rare variant and sex-specific effects, and implicate lipid-related pathways in metabolism.

Here, the authors present a TWAS framework OTTERS that adapts multiple polygenic risk score methods to estimate eQTL weights from summary-level eQTL data. Both simulation and real studies show OTTERS is powerful across a wide range of genetic architectures.

Inflammation is associated with a variety of diseases. Here, the authors identify 266 genetic loci associated with C-reactive protein levels, a marker of inflammation, in >500,000 Europeans, along with associated pathways, clinical outcomes and potential causal associations with disease.

The 20-million-year-old, solar-type star V1298 Tau hosts a multiplanet system. The two outermost planets, gas giants with masses of 0.64 and 1.16 Jupiter masses, respectively, defy current formation models as their mass–radius relationship should be reached much later in the stages of planetary evolution.

Analysis of human genotypes and 16S microbiome data of 18,473 individuals from 25 cohorts through a genome-wide association study, a phenome-wide association study and Mendelian randomization identifies host genetic and microbial trait associations.

Folkersen et al. report the first results from the SCALLOP consortium, a collaborative framework for pQTL mapping and biomarker analysis of proteins on the Olink platform. A total of 315 primary and 136 secondary pQTLs for 85 circulating cardiovascular proteins from over 30,000 individuals were identified and replicated to yield new insights for translational studies and drug development.

Here the authors identify genetic effectors of the level of inflammation-related plasma proteins and use Mendelian randomization to identify proteins that contribute to immune-mediated disease risk.

A genetic study identifies hundreds of loci associated with risk tolerance and risky behaviors, finds evidence of substantial shared genetic influences across these phenotypes, and implicates genes involved in neurotransmission.

Lipopolysaccharide derived from gut bacteria can accelerate the formation of cerebral cavernous malformations by activating TLR4 on endothelial cells, and polymorphisms that increase expression of the genes encoding TLR4 or its co-receptor CD14 are associated with higher CCM lesion burden in humans.

Many genetic variants identified in genome-wide association studies are associated with gene expression. Here, Porcu et al. propose a transcriptome-wide summary statistics-based Mendelian randomization approach (TWMR) that, applied to 43 human traits, uncovers hundreds of previously unreported gene–trait associations.

GWAS have so far identified 129 loci associated with type 2 diabetes (T2D). Here, the authors meta-analyse three large T2D GWA studies which uncovers 42 additional loci, further prioritize 33 functional genes using eQTL and mQTL data and propose regulatory mechanisms for three putative T2D genes.

Circulating lipids can influence immune cell function, which could have implications for inflammatory diseases such as rheumatoid arthritis. Here, the authors use Mendelian randomization to identify genes whose expression is influenced by triglyceride levels in blood, implicating genes involved in lipid metabolism and allergic response.

This genome-wide study of age at first sexual intercourse and first birth identifies 371 signals driven by reproductive biology, externalising behaviour and environmental effects, with later onset associated with lower incidence of some diseases.

To comprehend the genetic regulatory mechanisms underlying brain-related traits in humans, Qi et al. estimate the correlation of expression and DNA methylation QTL effects in cis between blood and brain and show that using blood eQTL/mQTL data of large sample size  can increase power in gene discovery for brain-related traits and diseases.

Yao Yao et al. perform transcriptome-wide association analysis through integration of gene expression data and results of a previously-published genome-wide association study for neutrophil count. They find 34 independent genomic regions associated with expression changes and show that knockout of one candidate gene, TAF9, in CD34⁺ progenitor cells increases neutrophil maturation in vitro.

Mendelian randomization analyses using genotyping data, gut metagenomic sequence and fecal short-chain-fatty-acid levels from 952 individuals combined with GWAS data show evidence of a causal effect of the gut microbiome on metabolic traits.