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The authors conducted a genetic meta-analysis of depression and found 269 associated genes. These genes highlight several potential drug repositioning opportunities, and relationships with depression were found for neuroticism and smoking.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

Genome-wide association meta-analyses of attention-deficit/hyperactivity disorder symptom measures and clinical diagnoses identify new risk loci, highlight putative effector genes and yield improved polygenic risk scores.

The authors report a meta-analysis of methylome-wide association studies, identifying 15 significant CpG sites linked to major depression, revealing associations with inflammatory markers and suggesting potential causal relationships through Mendelian randomization analysis.

Circuit and cell type prioritization for complex disorders is crucial to direct future efforts. Here the authors integrate GWAS, human single-cell RNA-seq and fMRI analysis suggesting multi-modality convergence on amygdalar and hippocampal circuits.

Naomi Wray, Peter Visscher and colleagues report analyses of the common variation that contributes to schizophrenia risk within three independent case-control datasets from the Psychiatric GWAS Consortium for schizophrenia. They estimate that 23% of the variation in liability to schizophrenia is captured by SNPs on current platforms.

Sex differences are well established in the prevalence and symptoms of depression. Here, the authors identify a novel X chromosome variant, greater genetic risk, and stronger links to metabolic traits in females, highlighting the importance of sex-aware approaches.

Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease. Here, Wray and colleagues identify association of the GPX3-TNIP1 locus with ALS using cross-ethnic meta-analyses.

A genome-wide association meta-analysis of individuals with clinically assessed or self-reported depression identifies 44 independent risk loci. Comparisons with other psychiatric disorders and candidate gene analyses provide new insights into major depressive disorder.

This large meta-analysis of 11 GWAS identified 7 genetic loci associated with strabismus, esotropia and exotropia. Mendelian randomisation provided genetic evidence of the causal link between maternal smoking to increased strabismus risk in offspring.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Vitamin D is a precursor of the steroid hormone 1,25-dihydroxyvitamin D3, and its deficiency is associated with many adverse health outcomes. Here, Revez et al. perform a genome-wide association study for circulating 25-hydroxyvitamin D in 417,580 individuals and test for potential causal relationships with other traits using Mendelian randomization.

An understanding of the genetic variants associated with medication use may shed light on the underlying biological pathways of disease, and aid in drug development. Here, Wu and colleagues conduct a GWAS for self-reported medication-use in the UK Biobank, finding more than 500 independent variants and many promising leads for future work.

Insulin resistance is emerging as an early metabolic risk marker in youth with mood disorders. In this Comment, we examine the interplay of insulin resistance, inflammation and circadian disruption that worsens both metabolic symptoms and mood symptoms, highlighting the potential for early integrated interventions.

Naomi Wray and colleagues report an analysis of genome-wide association data sets from the Psychiatric Genomics Consortium for five psychiatric disorders. They find that common variation explains 17–29% of the variance in liability and provide further support for a shared genetic etiology for these related psychiatric disorders.

Genetic factors contribute to peptic ulcer disease (PUD). Here, the authors perform a genome-wide association analysis on PUD in the UK Biobank, highlighting shared architecture with other gastrointestinal disorders and possible causal links with depression.

Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.

In this study the authors measure the concentration of 25-hydroxyvitamin D and vitamin D binding protein (DBP) in 65,589 neonatal dried blood samples. Findings from further analyses include that the genetic correlates of DBP concentration predict the risk of vitamin D deficiency.

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.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

Depression is correlated with many brain-related traits. Here, Shen et al. perform phenome-wide association studies of a depression polygenic risk score (PRS) and find associations with 51 behavioural and 26 neuroimaging traits which are further followed up on using Mendelian randomization and mediation analyses.

The availability of longitudinal data in large biobanks is increasing. Here, using data from the UK Biobank, the authors develop and apply analytical approaches to quantify genetic contributions to change over time for traits like height and weight.

Most functional genomic resources have been based on individuals with European ancestry. Here, the authors perform DNA methylation quantitative trait locus (mQTL) analyses in 3,701 European and 2,099 East Asian individuals to identify thousands of genetic variants, a large degree of which are shared between the two populations.

Genome-wide association analyses of 41,917 bipolar disorder cases and 371,549 controls of European ancestry provide new insights into the etiology of this disorder and identify novel therapeutic leads and potential opportunities for drug repurposing.

There are various measures to quantify the contribution of genetic variants to disease risk, but differing terminology and assumptions obfuscate their use and interpretation. In this Analysis, the authors consider and contrast six commonly used measures that assess disease risk of individual variants, and provide numerical examples in breast cancer, Crohn's disease, rheumatoid arthritis and schizophrenia.

SBayesRC integrates genome-wide association summary statistics with functional annotations to improve polygenic prediction of complex traits. Functional partitioning highlights a major contribution of evolutionarily constrained regions to prediction accuracy.

Most genetic studies of glucose levels have been done on fasting samples, which can be difficult to obtain. Here, the authors identify 156 genetic loci controlling the physiological variation of glucose levels in healthy non-fasting individuals, demonstrating that the results non-fasting samples can be used to predict fasting glucose levels.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Dysregulation of lipid metabolism is associated with coronary artery disease (CAD). Here, the authors perform GWAS of the serum lipidome to identify variants associated with lipid species that are putatively in the mechanistic pathway to CAD.

Patrick Sullivan and colleagues report a multi-stage genome-wide association study for schizophrenia in a Swedish population. They identify 13 loci newly associated with schizophrenia.

A cross-ancestry genome-wide association meta-analysis of amyotrophic lateral sclerosis (ALS) including 29,612 patients with ALS and 122,656 controls identifies 15 risk loci with distinct genetic architectures and neuron-specific biology.

Despite the identification of genetic risk loci for late-onset Alzheimer’s disease (LOAD), the genetic architecture and prediction remains unclear. Here, the authors use genetic risk scores for prediction of LOAD across three datasets and show evidence suggesting oligogenic variant architecture for this disease.

Conflicting reports have found disease to sometimes be positively and sometimes negatively correlated with alcohol consumption. Here, the authors show that misreporting and reduction of alcohol consumption is associated with disease, leading to misleading associations between alcohol and disease.

Plasma levels of neurological proteins have the potential to serve as biomarkers for neurological conditions. Here, Hillary et al. perform genome- and epigenome-wide association studies for 92 neurological proteins and identify 41 genomic loci for 33 proteins and 26 CpG sites for 9 proteins.

Parkinson’s disease (PD) is a common neurodegenerative disorder with a complex etiology involving genetics and the environment. Here, Vallerga et al. identify two CpG probes associated with PD in a blood cell type-corrected epigenome-wide meta-analysis, implicating the SLC7A11 gene as a plausible biological target.

Mating between first or second-degree relatives is prohibited in most countries, yet it occurs and is under-studied. Here, Yengo et al. use large runs of homozygosity from the UK Biobank resource to provide DNA-based quantification of extreme inbreeding and its consequence for health and other complex traits.

Promoter-anchored chromatin interaction (PAI) is a mechanism by which gene expression is regulated, but methods to measure PAIs are costly and currently not scalable. Here, the authors develop an approach by which PAIs can be predicted using summary-level data from methylation QTL studies.

A new GWAS of schizophrenia (11,260 cases and 24,542 controls) and meta-analysis identifies 50 new associated loci and 145 loci in total. The common variant association signal is highly enriched in mutation-intolerant genes and in regions under strong background selection.

Detailed analyses pairing deep phenotyping and molecular profiles reveal mediating roles of plasma lipids in genetic and environmental factors associated with autism-related traits in children.