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The authors analyzed the whole-exome sequences of over 16,000 individuals and found that very rare variants predicted to disrupt the SETD1A gene confer substantial risk for schizophrenia. Damaging variants in SETD1A were also associated with diverse, severe developmental disorders, providing an important genetic link between schizophrenia and other neurodevelopmental 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.

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.

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.

Noise due to genetic heterogeneity potentially impacts the the discovery of genes that contribute to diseases such as schizophrenia (SCZ). In this study, authors minimize the disease-irrelevant noise between SCZ and healthy individuals by profiling transcriptional signatures among discordant monozygotic twin pairs, and demonstrate that although sexes share many of the final common pathways, the underlying primary pathophysiology of SCZ differs between males and females.

Various types of genetic variation contribute to the etiology of intellectual disability (ID). Here, the authors study a cohort of ID patients enriched for mild ID from Finland, to investigate contributions of rare and common variants associated with ID of different levels of severity.

To better understand the etiology of frailty, the authors perform a large genetic study. They identified 45 additional variants and implicated MET, CHST9, ILRUN, APOE, CGREF1 and PPP6C as potential causal genes, linking frailty to immune regulation, metabolism and cellular signaling.

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.

Impulsive behaviour characterizes several psychiatric diseases and violent behaviour but its origins are complex. Here, exon sequencing focused on fourteen serotonin- and dopamine-related genes identified a mutation in HTR2B, which was associated with psychiatric diseases marked by impulsivity in a Finnish population. The role of this serotonin receptor in impulsivity is further supported by the knockout mouse phenotype.

By examining the genetic makeup of Northern Finnish sub-isolate populations, Stoll et al. show association between deletion of a topoisomerase III gene (TOP3B) and both schizophrenia and cognitive impairment. They also uncover a mechanism for the concomitant integration of TOP3β with the fragile X protein FMRP into messenger ribonucleoprotein complexes

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.

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.

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.

A genome-wide association study suggests 41 previously unreported loci on top of the 23 known loci that influence the disease risk for lumbar disc herniations. Many of these loci harbour genes implicated in disc structure and inflammation, as well as genes related to the nervous system and nerve function.

A strategy for inferring phase for rare variant pairs is applied to exome sequencing data for 125,748 individuals from the Genome Aggregation Database (gnomAD). This resource will aid interpretation of rare co-occurring variants in the context of recessive disease.

A genomic constraint map for the human genome constructed using data from 76,156 human genomes from the Genome Aggregation Database shows that non-coding constrained regions are enriched for regulatory elements and variants associated with complex diseases and traits.

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.

Multi-nucleotide variants (MNV) are genetic variants in close proximity of each other on the same haplotype whose functional impact is difficult to predict if they reside in the same codon. Here, Wang et al. use the gnomAD dataset to assemble a catalogue of MNVs and estimate their global mutation rate.

Upstream open reading frames (uORFs), located in 5’ untranslated regions, are regulators of downstream protein translation. Here, Whiffin et al. use the genomes of 15,708 individuals in the Genome Aggregation Database (gnomAD) to systematically assess the deleteriousness of variants creating or disrupting uORFs.

A large empirical assessment of sequence-resolved structural variants from 14,891 genomes across diverse global populations in the Genome Aggregation Database (gnomAD) provides a reference map for disease-association studies, population genetics, and diagnostic screening.

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.

A novel variant annotation metric that quantifies the level of expression of genetic variants across tissues is validated in the Genome Aggregation Database (gnomAD) and is shown to improve rare variant interpretation.

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.

A catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.

Narcolepsy has genetic and environmental risk factors, but the specific genetic risk loci and interaction with environmental triggers are not well understood. Here, the authors identify genetic loci for narcolepsy, suggesting infection as a trigger and dendritic and helper T cell involvement.

Many genetic factors that contribute to uterine leiomyomata (UL) - the most common tumours of the female genital tract - remain to be discovered. Here, the authors conduct a UL meta-genome-wide association study, and find loci related to altered muscle tissue biology that are associated with UL.

Kari Stefansson and colleagues identify a nonsense mutation in RBM12 segregating with psychosis in an extended Icelandic pedigree and an independent frameshift mutation in RBM12 segregating with psychosis in a Finnish family. They further show that carriers of the Icelandic mutation who are unaffected by psychosis exhibit a psychiatric disorder and cognitive test battery profile resembling that of patients with schizophrenia.

Jeffrey Barrett, Tarjinder Singh and colleagues present a meta-analysis of rare coding variants and copy number variants in a large collection of schizophrenia cases and controls, combined with de novo mutation data from family trios. They find that rare, damaging variants contribute to risk of schizophrenia both with and without intellectual disability and that there is overlap between genetic risk for schizophrenia and other neurodevelopmental disorders.

Rare genetic mutations that disrupt the functionality of important genes increase the risk of psychiatric and neurodevelopmental disorder. This study found that, in the general population not diagnosed with such disorders, these same mutations affect the average educational level. Carriers of these mutations have on average half a semester less of education than noncarriers.

Analysis of rare coding variants in the UK Biobank identifies eight genes associated with adult cognitive function, including KDM5B. Rare and common variant signals overlap and contribute additively to the phenotype.

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.

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.

Levels of circulating thyrotropin and free thyroxine reflect thyroid function, however, their genetic underpinnings remain poorly understood. Taylor et al. take advantage of whole-genome sequence data from cohorts within the UK10K project to identify novel variants associated with these traits.

Imputation uses genotype information from SNP arrays to infer the genotypes of missing markers. Here, the authors show that an imputation reference panel derived from whole-genome sequencing of 3,781 samples from the UK10K project improves the imputation accuracy and coverage of low frequency variants compared to existing methods.

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.

Population-based genome sequencing provides an increasingly rich resource for the identification of low-frequency, large effect variants associated with clinically important phenotypes. Timpson et al. use UK10K data to identify a variant of the APOC3gene strongly associated with plasma triglyceride levels.

Size and shape of the brain are, among others, influenced by the dimensions of the skull. Here, the authors report genome-wide association studies for head circumference and intracranial volume in children and adults and the identification of nine common or low-frequency variants associated with these traits.

Low read depth sequencing of whole genomes and high read depth exomes of nearly 10,000 extensively phenotyped individuals are combined to help characterize novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with lipid-related traits; in addition to describing population structure and providing functional annotation of rare and low-frequency variants the authors use the data to estimate the benefits of sequencing for association studies.

Severe congenital development defects such as Jeune syndrome can result from the malfunction of primary cilia and dynein. Here Schmidts et al. report unique biallelic null mutations in a gene encoding a dynein light chain, helping to explain the nature of ciliopathies in human patients.

Analysis of predicted loss-of-function variants from 125,748 human exomes and 15,708 whole genomes in the Genome Aggregation Database (gnomAD) provides a roadmap for human ‘knockout’ studies and a guide for future research into disease biology and drug-target selection.

The Schizophrenia Psychiatric Genome-Wide Association Study Consortium reports five genetic loci newly associated with risk of schizophrenia, involving 17,836 cases of schizophrenia and 33,859 healthy controls. The new locus with the strongest support of association was located within an intron for microRNA 137, a known regulator of neuronal development. Four other genome-wide significant loci for schizophrenia contain predicted targets of MIR137, suggesting that disruption to pathways involving MIR137 may be an etiologic mechanism in schizophrenia.