Genome-wide association studies (GWAS) of neurological diseases have identified thousands of variants associated with disease phenotypes. However, the majority of these variants do not alter coding sequences, making it difficult to assign their function. Here, we present a multi-omic epigenetic atlas of the adult human brain through profiling of single-cell chromatin accessibility landscapes and three-dimensional (3D) chromatin interactions of diverse adult brain regions across a cohort of cognitively healthy individuals. We developed a machine-learning classifier to integrate this multi-omic framework and predict dozens of functional single-nucleotide polymorphisms (SNPs) for Alzheimer’s disease (AD) and Parkinson’s disease (PD), nominating target genes and cell types for previously orphaned GWAS loci. Moreover, we dissected the complex inverted haplotype of the MAPT (encoding tau) PD risk locus, identifying putative ectopic regulatory interactions in neurons that may mediate this disease association. This work expands our understanding of inherited variation and provides a roadmap for the epigenomic dissection of causal regulatory variation in disease.

Allele expression (AE) analysis robustly measures cis-regulatory effects. Here, we present and demonstrate the utility of a vast AE resource generated from the GTEx v8 release, containing 15,253 samples spanning 54 human tissues for a total of 431 million measurements of AE at the SNP level and 153 million measurements at the haplotype level. In addition, we develop an extension of our tool phASER that allows effect sizes of cis-regulatory variants to be estimated using haplotype-level AE data. This AE resource is the largest to date, and we are able to make haplotype-level data publicly available. We anticipate that the availability of this resource will enable future studies of regulatory variation across human tissues.

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Autism spectrum disorder (ASD) is a pervasive, multifactorial neurodevelopmental disorder diagnosed according to deficits in three behavioral domains: communication, social interaction, and stereotyped/repetitive behaviors. Mutations in Shank genes account for ~1% of clinical ASD cases with Shank3 being the most common gene variant. In addition to maintaining synapses and facilitating dendritic maturation, Shank genes encode master scaffolding proteins that build core complexes in the postsynaptic densities of glutamatergic synapses. Male mice with a deletion of the PDZ domain of Shank3 (Shank3B KO) were previously shown to display ASD-like behavioral phenotypes with reported self-injurious repetitive grooming and aberrant social interactions. Our goal was to extend these previous findings and use a comprehensive battery of highly detailed ASD-relevant behavioral assays including an assessment of mouse ultrasonic communication carried out on key developmental days and male and female Shank3B KO mice. We demonstrate that ASD-related behaviors, atypical reciprocal social interaction and indiscriminate repetitive grooming, are apparent in juvenile stages of development of Shank3B KO mice. Our findings underscore the importance of utilizing Shank mutant models to understand the impact of this gene in ASD etiology, which may enable future studies focusing on etiological gene-environment interactions in ASD.