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The authors find that TDP-43 loss of function—the pathology defining the neurodegenerative conditions ALS and FTD—induces novel mRNA polyadenylation events, which have different effects, including an increase in RNA stability, leading to higher protein levels.

Anterior Uveitis is a common inflammatory eye disease that can result in vision loss. Here, the authors perform GWAS and whole-exome analyses of Anterior Uveitis to identify the underlying genetics of HLA-B*27 positive and negative forms of the disease.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

Genome-wide analysis identifies 30 loci associated with bipolar disorder, allowing for comparisons of shared genes and pathways with other psychiatric disorders, including schizophrenia and depression.

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.

In vitro modelling of the adipose tissue-liver axis can advance understanding and therapy of metabolic disease, including by distinguishing effects of obesity and inflammation. Here, authors develop such a system based on isogenic human iPSCs and interconnected microphysiological devices.

Eli Stahl and colleagues report results of a genome-wide association study meta-analysis and replication study for rheumatoid arthritis. Their work identifies several new risk loci and highlights genetic overlap with other autoimmune diseases.

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.

This study uses gene expression predictors for the dorsolateral prefrontal cortex and other brain regions to perform a transcriptomic imputation analysis of schizophrenia, identifying 413 genic associations across 13 brain regions and 36 significantly enriched pathways.

Eli Stahl, Robert Plenge and colleagues report the application of a polygenic analysis, using a Bayesian inference framework, to rheumatoid arthritis GWAS datasets. They find that polygenic risk scores are associated with rheumatoid arthritis case-control status and estimate the total variance explained by common variants in these GWAS. They show comparable estimates for applications to GWAS for celiac disease, myocardial infarction and coronary artery disease and type 2 diabetes.

An exome-wide association study of six smoking phenotypes in up to 749,459 individuals identifies associations of rare coding variants in CHRNB2 that may reduce the likelihood of smoking.

Stratified medicine promises to tailor treatment for individual patients, however it remains a major challenge to leverage genetic risk data to aid patient stratification. Here the authors introduce an approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue-specific gene expression levels, and highlight its ability to identify biologically meaningful and clinically actionable patient subgroups, supporting the notion of different patient ‘biotypes’ characterized by partially distinct disease mechanisms.

Genome-wide association analysis of gout and urate identifies 148 new loci, implicating biological pathways and prioritizing candidate genes involved in inflammatory processes.

Genomic studies often lack representation from diverse populations, limiting equitable insights. Here, the authors show that the BIG Initiative captures extensive genetic diversity and reveals ancestry-linked health disparities in a community-based Mid-South cohort.

Joint analysis of multiple traits can increase power and provide insights into shared genetic architecture. Here, Nguyen et al. develop multi-trait TADA (mTADA), an extension of TADA (transmission and de novo association test) that jointly analyses de novo mutations of traits for improved risk-gene identification power.

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.

The authors defined a roadmap for investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders. Their proof-of-concept study using the largest available common variant data sets for schizophrenia and volumes of several (mainly subcortical) brain structures did not find evidence of genetic overlap.

Whole-exome sequencing identifies ten risk genes for schizophrenia implicated by rare protein-coding variants, a subset of which overlap with risk genes in other neurodevelopmental disorders.

The CNV analysis group of the Psychiatric Genomic Consortium analyzes a large schizophrenia cohort to examine genomic copy number variants (CNVs) and disease risk. They find an enrichment of CNV burden in cases versus controls and identify 8 genome-wide significant loci as well as novel suggestive loci conferring either risk or protection to schizophrenia.

Rheumatoid arthritis patients respond differently to anti-TNF treatment. Using community-based challenge, the authors show that currently available data does not reveal meaningful genetic predictors of response to anti-TNF therapy, thus confirming clinical observations.

Sexual dimorphism in genetic vulnerability to schizophrenia, systemic lupus erythematosus and Sjögren’s syndrome is linked to differential protein abundance from alleles of complement component 4.

Schizophrenia is a highly heritable genetic disorder, however, identification of specific genetic risk variants has proven difficult because of its complex polygenic nature—a large multi-stage genome-wide association study identifies 128 independent associations in over 100 loci (83 of which are new); key findings include identification of genes involved in glutamergic neurotransmission and support for a link between the immune system and schizophrenia.

A cross-ancestry meta-analysis identified 126 genetic loci associated with chronic pain intensity, revealing correlations with substance use and psychiatric traits.

Exome sequencing analysis of 13,933 individuals with bipolar disorder finds enrichment of ultra-rare protein-truncating variants in constrained genes. Combined analysis with schizophrenia exome data identifies AKAP11 as a risk gene for both disorders.

Analysis of chromatin state at a single-cell level in samples of developing human forebrain demonstrate both cell-type-specific and region-specific changes during neurogenesis.

Breen et al. map RNA editing profiles in cortical samples from individuals with schizophrenia and controls, and find links between altered RNA editing in glutamatergic and postsynaptic density genes and schizophrenia genetic risk architecture.

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.

Phenotypic variation and diseases are influenced by factors such as genetic variants and gene expression. Here, Barbeira et al. develop S-PrediXcan to compute PrediXcan results using summary data, and investigate the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes.

Exome sequence analysis of more than 5,000 schizophrenia cases and controls identifies a polygenic burden primarily arising from rare, disruptive mutations distributed across many genes, among which are those encoding voltage-gated calcium ion channels and the signalling complex formed by the ARC protein of the postsynaptic density; as in autism, mutations were also found in homologues of known targets of the fragile X mental retardation protein.

Durable agonism of NPR1 achieved with a novel investigational monoclonal antibody could mirror the positive hemodynamic changes in blood pressure and heart failure identified in humans with lifelong exposure to NPR1 coding variants.

Both rare and common variants contribute to the aetiology of complex traits such as type 2 diabetes (T2D). Here, the authors examine the effect of coding variation on glycaemic traits and T2D, and identify low-frequency variation in GLP1Rsignificantly associated with these traits.

Relatives of patients with amyotrophic lateral sclerosis have an unexpectedly high incidence of schizophrenia. Here, the authors show a genetic link between the two conditions, suggesting shared neurobiological mechanisms.

Genome-wide meta-analysis of SARS-CoV-2 susceptibility and severity phenotypes in up to 756,646 samples identifies a rare protective variant proximal to ACE2. A 6-SNP genetic risk score provides additional predictive power when added to known risk factors.

A dataset of coding variation, derived from exome sequencing of nearly one million individuals from a range of ancestries, provides insight into rare variants and could accelerate the discovery of disease-associated genes and advance precision medicine efforts.

Whole-exome sequencing analysis of 454,787 individuals in the UK Biobank is used to examine the association of protein-coding variants with nearly 4,000 health-related traits, identifying 564 distinct genes with significant trait associations.

The study reports a genome-wide significant locus for cannabis use disorder, replicating in an independent cohort, and implicates CHRNA2, which encodes an acetylcholine receptor subunit, in the disorder by analyses of genetically regulated gene expression.

Combinatorial perturbation of schizophrenia risk loci in human induced pluripotent stem cell–derived neuronal cells demonstrates a synergistic effect converging on synaptic function.

Rheumatoid arthritis (RA) is partly heritable; genetic and serological markers are known to confer risk of developing pathology. But given clinical heterogeneity in RA, can we predict who will develop severe disease? Substantial heritability of erosive progression rates has now been identified, but better prognostic biomarkers remain wanting.

Soumya Raychaudhuri, Buhm Han and colleagues present a statistical method to distinguish whether shared genetic risk variants among complex traits are driven by whole-group pleiotropy or a subset of individuals who constitute a genetically heterogeneous subgroup. They use the method to examine genetic sharing among autoimmune diseases and between major depressive disorder and schizophrenia and find that most genetic sharing cannot be explained by subgroup heterogeneity but that, in contrast, seronegative rheumatoid arthritis is a heterogeneous condition.

Stroke is a multifactorial disease influenced by genetic and environmental factors. Here, the authors apply exome-wide association analysis to find rare coding variants associated with stroke in a Pakistani cohort, finding a significant association of a variant in NOTCH3 that is highly enriched in South Asians.

Genotype and exome sequencing of 150,000 participants and whole-genome sequencing of 9,950 selected individuals recruited into the Mexico City Prospective Study constitute a valuable, publicly available resource of non-European sequencing data.

A COVID-19 test implemented in an automated microfluidic device and leveraging isothermal RNA amplification followed by T7 transcription and Cas13-mediated cleavage of a quenched fluorophore rapidly detects SARS-CoV-2 RNA in saliva samples.

Deploying two unrelated CRISPR nucleases in tandem, with multiplexed CRISPR RNAs and a chemically stabilized activator, creates a simple, one-step assay that can rapidly detect attomolar concentrations of RNA without needing target amplification.

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.

The CommonMind Consortium sequenced RNA from dorsolateral prefrontal cortex of subjects with schizophrenia (N = 258) and control subjects (N = 279), creating a resource of gene expression and its genetic regulation. Using this resource, they found that ∼20% of schizophrenia loci have variants that may contribute to altered gene expression and liability.