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A proteomic risk score for cardiorespiratory fitness, comprising as few as 21 proteins, is dynamic with exercise training and helps predict the risk of mortality and a range of cardiovascular, metabolic and neurological conditions.

The MAGIC investigators report results of a large genome-wide association study meta-analysis to identify common variants influencing fasting glucose homeostasis. They further show that several of the newly discovered loci influencing glycemic traits are also associated with risk of type 2 diabetes.

A genome-wide association study in more than 400,000 individuals identifies 139 new signals for lung function. These variants can predict chronic obstructive pulmonary disease in independent, transancestral cohorts.

Muscle weakness has been associated with morbidity and mortality in older people. Here, the authors have investigated this trait further by performing a genome-wide meta-analysis of grip strength and Mendelian randomization to discover causal relationships between muscle weakness and other diseases.

Genome-wide association meta-analyses of waist-to-hip ratio adjusted for body mass index in more than 224,000 individuals identify 49 loci, 33 of which are new and many showing significant sexual dimorphism with a stronger effect in women; pathway analyses implicate adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution.

Here the authors report 20 novel genomic risk loci for calcific aortic valve stenosis, the most common heart valve disorder. Using RNA sequencing in 500 human aortic valves, they prioritize candidate causal genes including TWIST1, a gene involved in endothelial-mesenchymal transition.

Cardiovascular and thromboembolic events (CVE) are common among hospitalised COVID-19 patients and are causes of many COVID-19-related deaths. Here, the authors examine whether genetic predisposition and lifestyle factors are associated with the risk of post-COVID-19 CVE using data from UK Biobank.

Panos Deloukas, Nilesh Samani and colleagues report a large-scale association analysis using the Metabochip array in 63,746 coronary artery disease cases and 130,681 controls. They identify 15 susceptibility loci, refine previous associations and use network analysis to highlight biological pathways.

Koprulu et al. integrate antibody-based proteomic data with genomics to link protein-encoding genes to human metabolic disease.

Kyle Gaulton, Mark McCarthy, Andrew Morris and colleagues report fine mapping and genomic annotation of 39 established type 2 diabetes susceptibility loci. They find that the set of potential causal variants is enriched for overlap with FOXA2 binding sites in human islet and liver cells, and they show that a likely causal variant near MTNR1B increases FOXA2-bound enhancer activity, providing a molecular mechanism to explain the effect of this locus on disease risk.

Vitamin D deficiency is associated with multiple human pathologic conditions. In a genome-wide association study of 79,366 individuals, Jiang et al. replicate four and identify two new genetic loci for serum levels of 25-hydroxyvitamin D and find evidence for a shared genetic basis with autoimmune diseases.

Associations between of omega-3 fatty acids and mortality are not clear. Here the authors report that, based on a pooled analysis of 17 prospective cohort studies, higher blood omega-3 fatty acid levels correlate with lower risk of all-cause mortality.

Metabolomic profiling identified widespread adrenal insufficiency in patients with asthma receiving inhaled corticosteroids, which is a mainstay of asthma treatment, arguing for the need for regular monitoring of such patients to avoid adverse effects of adrenal suppression.

Sekar Kathiresan and colleagues examine 185 common variants using a modified mendelian randomization approach and provide evidence supporting a causal role of triglyceride-rich lipoproteins in the development of coronary artery disease.

The diagnosis of diabetes mellitus in clinical practice has been mainly based on the measurement of glucose levels in blood. Growing evidence, including results from a new large-scale population study, however, strongly suggests that the assessment of glycated hemoglobin levels has advantages over measurement of glucose levels in predicting the risk of developing diabetes or cardiovascular disease.

This very large genome-wide association study identifies hundreds of new genetic variants influencing adult height in at least 180 loci enriched for genes involved in skeletal growth defects. The results show that the likely causal gene is often located near the most strongly associated variant, that many loci have multiple independently associated variants and that associated variants are enriched for likely functional effects on genes.

A large-scale genome-wide meta-analysis conducted across different platforms identifies genetic loci regulating levels of circulating metabolites.

Previous studies have linked over 100 genomic loci to age-at-menarche but that work was restricted to common autosomal variation. Here, Lunetta et al. identify associations with rare protein-coding and X-linked variants, implicating new mechanisms that regulate puberty timing.

Paul Elliott, Martin Tobin, Cornelia van Duijn and colleagues report a genome-wide association study for pulse pressure and mean arterial pressure, identifying six new loci influencing these two traits.

Serum proteins are easily accessible biomarkers and drug targets. Here, the authors use whole genome sequencing data to describe the genetic architecture of neurologically-relevant serum proteins and establish causal protein-neurological disease relationships.

Broad-capture affinity-based proteomic technologies inform how the readout of our genes affects human health. Here, the authors integrate aptamer- and antibody-based profiling to understand the mechanisms underlying gene-protein-disease associations.

Multi-ancestry genome-wide association analyses for birth weight in 153,781 individuals identified 60 genomic loci in which birth weight and fetal genotype were associated and found an inverse genetic correlation between birth weight and cardiometabolic risk.

Finding effective treatments for COVID-19 depends upon understanding genetic regulation of proteins involved in SARS-CoV-2 infection and host response. Here, the authors identify genetic variants linked to expression of such proteins, data which could lead to the discovery of therapeutic targets.

Mosaic loss of chromosome Y (LOY) is a common form of clonal mosaicism in leukocytes. Here, the authors extend genetic association analyses to rare variation using exome-sequence data from 82,277 males, finding that loss-of-function alleles in GIGYF1 are associated with six-fold higher susceptibility to both LOY and Type 2 Diabetes.

Mark McCarthy and colleagues identify twelve new risk loci for type 2 diabetes through a large-scale genome-wide association and replication study in individuals of European ancestry. The identified loci affect both beta-cell function and insulin action and are enriched for genes involved in cell cycle regulation.

In mouse studies, metformin treatment results in increased secretion of growth/differentiation factor 15 (GDF15), which prevents weight gain in response to high-fat diet, and GDF15-independent lowering of circulating blood glucose.

Martin Tobin and colleagues present genome-wide association studies for pulmonary function as part of the SpiroMeta consortium.

Christopher Newton-Cheh and colleagues report a genome-wide association study for blood pressure traits as part of the Global BPgen consortium. They report eight loci with replicated association to systolic and/or diastolic blood pressure, with each also showing association to hypertension.

This paper describes the largest genome-wide association study to date on polycystic ovary syndrome (PCOS), a common reproductive disorder in women. Six genetic loci—including known targets of cancer chemotherapy—were identified, and the authors infer causal and balancing selection mechanisms involved in PCOS risk and susceptibility.

A genome-wide association study of mosaic loss of chromosome Y (LOY) in UK Biobank participants identifies 156 genetic determinants of LOY, showing that LOY is associated with cancer and non-haematological health outcomes.

Genetic and environmental factors impact on lung function, important in the diagnosis of pulmonary diseases. Here the authors use imputation of genotypes to the 1000 Genomes Project reference panel to identify novel, low frequency variants associated with lung function.

Louise Wain, Ian Hall, Martin Tobin and colleagues report genome-wide association analyses of lung function, identifying 43 new signals associated with one or more lung function traits. A genetic risk score derived from these results was significantly associated with risk for chronic obstructive pulmonary disease in independent populations.

Genetic variation in ANGPTL4 is associated with lipid traits. Here, the authors find that predicted loss-of-function variants in ANGPTL4 are associated with glucose homeostasis and reduced risk of type 2 diabetes and that Angptl4^−/− mice on a high-fat diet show improved insulin sensitivity.

Genetic factors have been found to be associated with severe COVID-19. Here, the authors integrated genomic, proteomic, and single-cell data to identify ELF5 as a candidate risk gene with a possible role in respiratory epithelial cells, which are targeted by SARS-CoV-2.

A new study combines large-scale proteomics and machine learning to identify proteins that can be used to identify individuals with isolated impaired glucose tolerance, who would otherwise only be detectable with oral glucose tolerance tests.

Joel Hirschhorn and colleagues report results of a large-scale genome-wide association and replication study for obesity-related traits. The newly discovered loci are enriched for genes expressed in the central nervous system, and may thus contribute to weight gain by modulating food intake. Similar results are reported in a related study by Gudmar Thorleifsson and colleagues.

Genetic analysis of data from over 400,000 participants in the UK Biobank Study shows that circulating testosterone levels have sex-specific implications for cardiometabolic diseases and cancer outcomes.

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.

Large-scale aptamer-based scanning of plasma proteins coupled with machine learning demonstrates proof-of-concept and feasibility of an individualized health check using a single blood sample.

Sequencing data from two large-scale studies show that most of the genetic variation influencing the risk of type 2 diabetes involves common alleles and is found in regions previously identified by genome-wide association studies, clarifying the genetic architecture of this disease.

Martin Tobin and colleagues report a meta-analysis of 23 genome-wide association studies for pulmonary function. They identify 16 loci newly associated with variation in two cross-sectional measures of lung function, used to define airway obstruction and to grade the severity of obstruction.

A meta-analysis of genome-wide association studies of phenotypic variation for height and body mass index in human populations using 170,000 samples shows that one single nucleotide polymorphism at the FTO locus, which is associated with obesity, is also associated with phenotypic variation.

Cristen Willer and colleagues report genome-wide association analyses for blood lipid levels in 188,578 individuals. They identify 62 loci newly associated with blood lipid levels, refine the association signals at 12 loci and examine associations with cardiovascular and metabolic traits.

Untargeted metabolomics profiling coupled with analysis of electronic health records in over 11,000 participants in the EPIC-Norfolk cohort reveals shared pathways that contribute to multimorbidity of noncommunicable diseases.