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In this study, Leventhal et al. integrate multi-omic data from human and Drosophila models of Alzheimer’s disease to define regulators of age-associated neurodegeneration in Alzheimer’s disease and the pathways through which they act.

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.

David Whitcomb, Bernie Devlin and colleagues report the results of a genome-wide association study of pancreatitis. They identify common variants at two loci associated with risk of this disease, including one on the X chromosome that shows strong evidence of interaction with alcohol consumption.

Laser spectroscopy measurements of the fermium isotopic chain show a smooth trend in the nuclear size of heavy actinide elements, and diminishing shell effects on the size evolution compared with lighter nuclei.

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.

Oyesola and colleagues show that rewilding mice reveals how genotype and environment combine to determine interindividual immune variation.

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.

Different functional variants in ADH1B (and elsewhere) in Europeans and Africans strongly affect risk for alcohol dependence. Dependence only partly genetically correlates with consumption, with strong correlations to other psychiatric disorders.

Autism spectrum disorders (ASDs) are neurodevelopmental disorders characterized by impairments in social and communication skills. Accumulating evidence suggests a genetic component to ASDs, and here a two-stage, genome-wide approach is used to identify candidate genomic loci enriched in ASD cases. The majority of these loci are found to be involved in neuronal adhesion and ubiquitin degradation, suggesting novel susceptibility mechanisms.

Analysis of rare protein-truncating, damaging missense and copy number variants from exome sequencing of 63,237 individuals identifies 72 genes associated with autism spectrum disorder.

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.

Whole-exome sequencing in a large autism study identifies over 100 autosomal genes that are likely to affect risk for the disorder; these genes, which show unusual evolutionary constraint against mutations, carry de novo loss-of-function mutations in over 5% of autistic subjects and many function in synaptic, transcriptional and chromatin-remodelling pathways.

Intraepithelial lymphocytes expressing γ and δ T cell receptor subunits protect Paneth cells from cell death caused by viral infection or Crohn's disease.

Corticobasal degeneration is a rare neurodegenerative disorder that can only be definitively diagnosed by autopsy. Here, Kouri et al. conduct a genome-wide-association study and identify two genetic susceptibility loci 17q21 (MAPT) and 3p12 (MOBP), and a novel susceptibility locus at 8p12.

Structural variants (SVs) contribute to the genetic architecture of many brain-related disorders. Here, the authors integrate SV calls from genome sequencing (n = 755) with RNA-seq data (n = 629) from post-mortem dorsal lateral prefrontal cortex to annotate the gene regulatory effects of SVs in the human brain and their potential to contribute to disease.

Common polygenic variation at chromosome 16p and rare recurrent deletions of 16p11.2 influencing autism risk are associated with reduced expression of genes throughout the 16p region, suggesting functional convergence of rare and common variant effects.

A genome-wide-association meta-analysis of 18,381 austim spectrum disorder (ASD) cases and 27,969 controls identifies five risk loci. The authors find quantitative and qualitative polygenic heterogeneity across ASD subtypes.

The autism spectrum disorders are complex genetic traits characterized by various neurodevelopmental deficits. Here, the authors analyse defective gene family interaction networks in autism cases and healthy controls and identify potential gene family interactions that may contribute to autism aetiology.

Combining single-cell RNA-seq data and microarray-based spatial transcriptomics maps the ___location of different cell types and cell states in pancreatic tumors.

Better analytical methods are needed to extract biological meaning from genome-wide association studies (GWAS) of psychiatric disorders. Here the authors take GWAS data from over 60,000 subjects, including patients with schizophrenia, bipolar disorder and major depression, and identify common etiological pathways shared amongst them.

Joseph Buxbaum and colleagues use an epidemiological sample from Sweden to investigate the genetic architecture of autism spectrum disorders. They conclude that most inherited risk for autism is determined by common variation and that rare variation explains a smaller fraction of total heritability.

The autistic spectrum disorders (ASDs) are highly heritable, yet the underlying genetic determinants remain largely unknown. Here, a genome-wide analysis of rare copy number variants (CNVs) has been carried out, revealing that ASD sufferers carry a higher load of rare, genic CNVs than do controls. Many of these CNVs are de novo and inherited. The results implicate several novel genes in ASDs, and point to the importance of cellular proliferation, projection and motility, as well as specific signalling pathways, in these disorders.

Mark Daly and colleagues present a statistical framework to evaluate the role of de novo mutations in human disease by calibrating a model of de novo mutation rates at the individual gene level. The mutation probabilities defined by their model and list of constrained genes can be used to help identify genetic variants that have a significant role in disease.

This study presents a framework to evaluate rare and de novo variation from whole-genome sequencing (WGS). The work suggests that robust results from WGS studies will require large cohorts and strategies that consider the substantial multiple-testing burden.

Autism is a highly heritable neurodevelopmental disorder, and yet few specific susceptibility genes have been identified to date. A linkage and association mapping study using half a million genome-wide single nucleotide polymorphisms is now described in a common set of 1,031 multiplex autism families. The linkage regions identified provide targets for rare variation screening whereas the discovery of a single novel association, SEMA5A, demonstrates the action of common variants.

Analyses of population-level variation in gene and enhancer expression in the human brain characterize the gene–enhancer regulome and the regulatory mechanisms of transcribed enhancers in neuropsychiatric diseases.

Nelson Freimer and colleagues analyze gene expression data from multiple tissue samples combined with genotype data from vervet monkeys to catalog expression quantitative trait loci (eQTLs). They generate a transcriptome resource analogous to the GTEx project and perform comparative and eQTL enrichment analyses for various traits.

Exome sequencing of 175 autism spectrum disorder parent–child trios reveals that few de novo point mutations have a role in autism spectrum disorder and those that do are distributed across many genes and are incompletely penetrant, further supporting extreme genetic heterogeneity of this spectrum disorder.

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.

Elise Robinson and colleagues present the polygenic transmission disequilibrium test (pTDT) for evaluating transmission of polygenic risk in family-based study designs. The authors apply pTDT to a cohort of autism spectrum disorder (ASD) families and find that common polygenic variation acts additively with de novo variants to contribute to ASD risk.

Unlike language, a uniquely human ability which children naturally develop, reading is a learnt skill that requires tuition and practice. Learning to read is likely to involve structural brain changes, but these are nearly impossible to isolate in children owing to other concurrent changes. A population of former Colombian guerrillas learning to read as adults is now studied, using structural brain scans to compare changes in the brains of these late-literates with those of illiterates.

The Human BioMolecular Atlas Program (HuBMAP) presents its production phase: the generation of spatial maps of functional tissue units across organs from diverse populations and the creation of tools and infrastructure to advance biomedical research.

Mark Daly and colleagues use population reference samples to refine the role of de novo protein-truncating variants in neurodevelopmental disorders. They show that variants independently observed in population reference samples do not contribute substantively to neurodevelopmental risk, and they use a loss-of-function intolerance metric to identify a small subset of genes that contain the entire observed signal of associated de novo protein-truncating variants in these disorders.

Gerard Schellenberg and colleagues report a genome-wide association study for progressive supranuclear palsy, a movement disorder with prominent tau neuropathology. They identified three new risk loci and confirmed the known risk locus at MAPT.