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Large-scale biological data repositories, particularly when deployed as single, non-mirrored instances or governed within narrow contexts, face structural vulnerabilities, from cyberattacks to funding disruptions. We propose a hybrid framework that integrates federated and decentralized models to ensure the resilience, sustainability and FAIR/CARE stewardship of scientific data as a global public good.

Leonard van den Berg, Roel Ophoff and colleagues present a genome-wide association study of sporadic amyotrophic lateral sclerosis. The work uncovers associated SNPs at 9p21.2 and an associated locus at 19p13.3 mapping to the UNC13A gene.

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.

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

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.

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.

This study used fine-mapping to analyze genetic regions associated with bipolar disorder, identifying specific risk genes and providing new insights into the biology of the condition that may guide future research and treatment approaches.

Schizophrenia is a complex disorder with high heritability but poorly understood genetics. Here Olde Loohuis et al.compare schizophrenia patients to unaffected individuals and identify an increased individual burden of rare deleterious mutations in patients.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

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.

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.

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.

Human brain structure changes throughout the lifespan. Brouwer et al. identified genetic variants that affect rates of brain growth and atrophy. The genes are linked to early brain development and neurodegeneration and suggest involvement of metabolic processes.

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.

Genome-wide analysis identifies variants associated with the volume of seven different subcortical brain regions defined by magnetic resonance imaging. Implicated genes are involved in neurodevelopmental and synaptic signaling pathways.

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.

Data from over 700,000 individuals reveal the identity of 83 sequence variants that affect human height, implicating new candidate genes and pathways as being involved in growth.

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.

The hippocampus in mammalian brain varies in size across individuals. Here, Hibar and colleagues perform a genome-wide association meta-analysis to find six genetic loci with significant association to hippocampus volume.

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.

Comparing white matter disconnectivity across 12 psychiatric and neurological disorders, this study finds that the connections most important for global communication and network integration are particularly vulnerable to alterations across multiple brain disorders.

A genome-wide association study of 1.7 million individuals identified 41 genetic variants associated with left-handedness and 7 associated with ambidexterity. The genetic correlation between the traits was low, thereby implying different aetiologies.

In a GWAS study of 32,438 adults, the authors discovered five novel loci for intracranial volume and confirmed two known signals. Variants for intracranial volume were also related to childhood and adult cognitive function and to Parkinson's disease, and enriched near genes involved in growth pathways, including PI3K-AKT signaling.

Nona Sotoodehnia and colleagues report a meta-analysis of 14 genome-wide association studies for QRS interval, an electrocardiogram measurement of cardiac ventricular conduction. They identify 22 loci associated with QRS duration.

Exome-wide analysis identifies rare and low-frequency coding variants associated with body mass index. Gene-based meta-analysis and functional studies implicate 13 genes, eight of which are novel, and neuronal pathways as factors in human obesity.

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.

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.

David van Heel and colleagues report results of a large genome-wide association study of celiac disease. Most of the associated loci contain genes with immune functions, and over half harbor risk variants that are correlated with variation in cis gene expression.

A transcriptome-wide association study integrating genome-wide association data with expression data from brain, blood and adipose tissues identifies new candidate susceptibility genes for schizophrenia, providing a step toward understanding the underlying biology.

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.

Integration of GWAS and single-cell transcriptomic data from the entire nervous system systematically identifies cell types underlying brain complex traits and provides insights into the etiology of Parkinson’s disease.

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.

Cortex morphology varies with age, cognitive function, and in neurological and psychiatric diseases. Here the authors report 160 genome-wide significant associations with thickness, surface area and volume of the total cortex and 34 cortical regions from a GWAS meta-analysis in 22,824 adults.

Genome-wide analyses identify eight independent loci associated with anorexia nervosa. Genetic correlations implicate both psychiatric and metabolic components in the etiology of this disorder, even after adjusting for the effects of common variants associated with body mass index.

The genetics of schizophrenia and other mental disorders are complex and poorly understood, and made even harder to study due to reduced reproduction resulting in negative selection pressure on risk alleles. Two independent large-scale genome wide studies of thousands of patients and controls by two international consortia confirm a previously identified locus, but also reveal novel associations. In this study, de novo (spontaneous) copy number variants are reported on chromosomes 1 and 15.

Here, in the first of three papers on the genetics of schizophrenia, a genome-wide association study of single nucleotide polymorphisms using data from several large genome-wide scans reveals significant associations to individual loci that implicate perturbations in immunity, brain development, memory and cognition in the predisposition to schizophrenia.

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.

Thorunn Rafnar and colleagues identify a variant on 4p16.3 near FGFR3 associated with increased risk of urinary bladder cancer. They find that the risk allele is more frequent among individuals with tumors that carry an activating somatic mutation in FGFR3, suggesting a link between germline variation, somatic mutation status and cancer risk.

Genome-wide association studies are used to identify common genetic variants that affect the structure of selected subcortical regions of the human brain; their identification provides insight into the causes of variability in brain development and may help to determine mechanisms of neuropsychiatric dysfunction.

Timothy Radstake and Maureen Mayes and colleagues report results of a genome-wide association study of systemic sclerosis. They identify a new susceptibility locus at CD247.