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Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.

The All of Us Research Program has prioritized the enrollment of people from backgrounds that are historically under-represented in medical research to bring precision medicine to the full diversity of the US population and to improve health outcomes for all.

Here, the authors present multi-ancestry genome-wide meta-analyses of uterine fibroids, identifying 11 new gene associations, and demonstrating that heritability is higher in African ancestries.

A neural circuit activated by the male pheromone, darcin, mediates a complex and variable array of innate and reinforced behaviours that may promote mate encounters and mate selection.

Use of general linear mixed models (GLMMs) in genetic variance analysis can quantify the relative contribution of additive effects from genetic variation on a given trait. Here, Jonathan Mosley and colleagues apply GLMM in a phenome-wide analysis and show that genetic variations in the HLA region are associated with 44 phenotypes, 5 phenotypes which were not previously reported in GWASes.

A genome-wide association study using electronic health record data in the Million Veteran Program uncovers new genetic loci associated specifically with peripheral artery disease, as compared to stroke or coronary artery disease.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

Testing the association between genetic variants and a range of phenotypes can assist drug development. Here, in a phenome-wide association study in up to 697,815 individuals, Diogo et al. identify genotype–phenotype associations predicting efficacy, alternative indications or adverse drug effects.

The specifics of the pediatric immune response that gives rise to antibodies capable of neutralising diverse HIV-1 strains is not fully understood. Here the authors characterise the immune environment of Simian-HIV infected paediatric macaques and link to antibody neutralisation induction.

Genome-wide association analysis in over one million individuals of European ancestry identifies 2,103 independent genetic signals (including 113 new loci) associated with blood pressure traits.

While experiments in younger trees support increased production under higher CO₂, it is unclear whether more mature trees can respond similarly. Here, the authors show increased production of biomass in a 180-year-old Quercus robur L. woodland under 7 years of free-air CO₂ enrichment (FACE).

Statins are effectively used to prevent and manage cardiovascular disease, but patient response to these drugs is highly variable. Here, the authors identify two new genes associated with the response of LDL cholesterol to statins and advance our understanding of the genetic basis of drug response.

Analysis of blood pressure data from the Million Veteran Program trans-ethnic cohort identifies common and rare variants, and genetically predicted gene expression across multiple tissues associated with systolic, diastolic and pulse pressure in over 775,000 individuals.

Specific gut microbiota constituents that affect the severity of malaria are unknown. Here, Mandal et al. identify specific Bacteroides species causing susceptibility to severe malaria in mice and correlate with the severity of malaria in Ugandan children.

The emergence of large-scale genomics projects has led to genetic studies across cohorts. Here, the authors conduct genome-wide association studies meta-analyzing in trusted research environments or pooling together and find similar, but not identical results.

Exome-wide genetic analysis on >300,000 individuals identifies associations with plasma lipid traits. Loci significantly associated with cholesterol and triglycerides are examined together to determine the effects of alleles on type 2 diabetes and coronary artery disease risk.

Timothy Frayling, Joel Hirschhorn, Peter Visscher and colleagues report a meta-analysis of genome-wide association studies for adult height in 253,288 individuals. They identify 697 variants in 423 loci significantly associated with adult height and find that these variants cluster in pathways involved in growth and together explain one-fifth of the heritability for this trait.

Christopher Newton-Cheh and colleagues report genome-wide association analyses for QT interval, an electrocardiographic measure reflecting myocardial repolarization, in 100,000 individuals. They identify 35 loci associated with QT interval and highlight a role for calcium regulation in myocardial repolarization.

Prioritizing drug repurposing candidates for downstream studies remains challenging. Here, the authors present a high-throughput approach to identify and validate drug repurposing candidates, integrating human gene expression, drug perturbation, and clinical data from publicly available resources.

Circulatory system diseases and nervous system disorders often co-occur in patients. Here the authors use eMERGE and UK BioBank data to identify genomic regions associated with both phenotypes, providing insight into the relationship between these conditions.

A study describes the release of clinical-grade whole-genome sequence data for 245,388 diverse participants by the All of Us Research Program and characterizes the properties of the dataset.

This large, multi-ethnic genome-wide association study identifies 97 loci significantly associated with atrial fibrillation. These loci are enriched for genes involved in cardiac development, electrophysiology, structure and contractile function.

Immunoglobulin A protects against infectious disease and contributes to autoimmune and inflammatory disorders. Here, the authors perform a genome-wide association study for serum IgA levels, identifying 20 genome-wide significant loci, providing new insights into the genetic regulation of IgA levels.

Multi-ancestry genome-wide association analyses identify 124 risk loci for rheumatoid arthritis, of which 34 are novel. A polygenic risk score based on multi-ancestry data showed comparable performance between populations of European and East Asian ancestries.

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.

A genomic constraint map for the human genome constructed using data from 76,156 human genomes from the Genome Aggregation Database shows that non-coding constrained regions are enriched for regulatory elements and variants associated with complex diseases and traits.

Transfer of a host’s microbiota by faecal microbiota transplantation has shown benefit in the context of recurrent Clostridioides difficle infection. Here the authors shows the inflammatory status of the recipient can impact on engraftment and the efficacy of the introduced microbiota in a model of C.difficile infection.

Examination of predicted loss-of-function (pLOF) genetic variants allows direct identification of genes with therapeutic potential. Here, Emdin et al. perform association analysis for 3759 pLOF variants with 24 traits and highlight protective variants against cardiometabolic and immune phenotypes.

Phenome-wide association is a novel method that links sequence variants to a spectrum of phenotypes and diseases. Here the authors generate detailed mouse genetic and phenome data which links their phenome-wide association study (PheWAS) of mouse to corresponding PheWAS in human.

Patrick Ellinor and colleagues report meta-analyses of common and rare variant association studies for atrial fibrillation across multiple populations. They identify 12 new loci, some of which implicate genes in atrial electrical and mechanical function.

When applied in large scale to electronic medical record data, the PheWAS approach replicates GWAS associations and reveals potentially new pleiotropic associations.

A genome-wide study identifies common variation near IRF6 associated with liver injury induced by IFN-β in individuals treated for multiple sclerosis. The risk locus is associated with differential expression of IRF6 and may help guide safer use of this biologic.

SAIGE (Scalable and Accurate Implementation of GEneralized mixed model) is a generalized mixed model association test that can efficiently analyze large data sets while controlling for unbalanced case-control ratios and sample relatedness, as shown by applying SAIGE to the UK Biobank data for > 1,400 binary phenotypes.

A genome-wide association study meta-analysis of more than 100,000 subjects of European and Asian ancestries reveals 42 new risk loci for rheumatoid arthritis, with follow-up studies identifying 98 biological candidate genes that are either already being targeted by drugs or could be in the future.

Hae Kyung Im and colleagues report a method for predicting gene expression perturbations from genotype data after training on reference transcriptome data sets. Association of predicted gene expression with disease traits identifies known and new candidate disease genes.