Unravelling genes and pathways implicated in working memory of schizophrenia in Han Chinese

AIDA-1/ANKS1B Binds to the SynGAP Family RasGAPs with High Affinity and Specificity

AIDA-1, encoded by ANKS1B, is an abundant postsynaptic scaffold protein essential for brain development. Mutations of ANKS1B are closely associated with various psychiatric disorders. However, very little is known regarding the molecular mechanisms underlying AIDA-1's involvements under physiological and pathophysiological conditions. Here, we discovered an interaction between AIDA-1 and the SynGAP family Ras-GTPase activating protein (GAP) via affinity purification using AIDA-1d as the bait. Biochemical studies showed that the PTB domain of AIDA-1 binds to an extended NPx[F/Y]-motif of the SynGAP family proteins with high affinities. The high-resolution crystal structure of AIDA-1 PTB domain in complex with the SynGAP NPxF-motif revealed the molecular mechanism governing the specific interaction between AIDA-1 and SynGAP. Our study not only explains why patients with ANKS1B or SYNGAP1 mutations share overlapping clinical phenotypes, but also allows identification of new AIDA-1 binding targets such as Ras and Rab interactors.

A permutation-based approach using a rank-based statistic to identify sex differences in epigenetics

Epigenetic sex differences and their resulting implications for human health have been studied for about a decade. The objective of this paper is to use permutation-based inference and a new ranked-based test statistic to identify sex-based epigenetic differences in the human DNA methylome. In particular, we examine whether we could identify separations between the female and male distributions of DNA methylation across hundred of thousands CpG sites in two independent cohorts, the Swedish Adoption Twin study and the Lamarck study. Based on Fisherian p-values, we set a threshold for methylation differences "worth further scrutiny". At this threshold, we were able to confirm previously-found CpG sites that stratify with respect to sex. These CpG sites with sex differences in DNA methylation should be further investigated for their possible contribution to various physiological and pathological functions in the human body. We followed-up our statistical analyses with a literature review in order to inform the proposed disease implications for the loci we uncovered.

A genome-wide association study identified one variant associated with static spatial working memory in Chinese population

Spatial working memory (SWM) is a kind of memory that temporarily preserves spatial information (the location or order of objects, etc.). Individuals with mental disorders tend to show worse performance in SWM task. This study investigated the genetic basis of two subtypes of SWM, static spatial working memory (SSWM) and dynamic spatial working memory (DSWM) in humans, using quantitative genomic analyses. A total of 451 Chinese students were tested on their magnitudes of SSWM and DSWM. A genome-wide association study (GWAS) was performed. Two SNPs (top SNP: rs80263879, p = 1.6 × 10−9, gene: epoxide hydrolase 2, EPHX2) reaching genome-wide significance for SSWM were identified. There is a high linkage disequilibrium between these two SNPs. The data of expression quantitative trait locus (eQTL) showed that different genotypes of rs80263879 and rs72478903 made significant differences in the expression of EPHX2 gene in the spinal cord (p = 0.022, p = 0.048). Enrichment analysis identified a gene set significantly associated with DSWM. Overall, our study discovered a candidate genetic locus and gene set for the genetics of the SWM.

Sex differences in schizophrenia: a longitudinal methylome analysis

DNA methylation analysis at the genome-wide level is a useful tool to explore potential sex differences in SCZ patients. The primary aim of the current study was to identify differentially methylated regions of DNA between males and females with schizophrenia. We collected DNA samples from 134 schizophrenia patients to measure genome-wide methylation at single-base resolution in 96 males and 38 females. We further repeated the analysis in 13 subjects (9 females, 4 males) to confirm the sex differences and to reduce the effect of potential confounders. The longitudinal methylation analysis found significant replication of several genes across the genome. These genes included RFTN1, TLE1, DAZL, PRR4, UTP14C, RNU12, and LOC644649. The overall results showed robust association between autosomal CpG sites and sex. Longitudinal methylation analysis can be used as internal replication to confirm epigenetic variants that are stable over time.

Haploinsufficiency in the ANKS1B gene encoding AIDA-1 leads to a neurodevelopmental syndrome

Neurodevelopmental disorders, including autism spectrum disorder, have complex polygenic etiologies. Single-gene mutations in patients can help define genetic factors and molecular mechanisms underlying neurodevelopmental disorders. Here we describe individuals with monogenic heterozygous microdeletions in ANKS1B, a predicted risk gene for autism and neuropsychiatric diseases. Affected individuals present with a spectrum of neurodevelopmental phenotypes, including autism, attention-deficit hyperactivity disorder, and speech and motor deficits. Neurons generated from patient-derived induced pluripotent stem cells demonstrate loss of the ANKS1B-encoded protein AIDA-1, a brain-specific protein highly enriched at neuronal synapses. A transgenic mouse model of Anks1b haploinsufficiency recapitulates a range of patient phenotypes, including social deficits, hyperactivity, and sensorimotor dysfunction. Identification of the AIDA-1 interactome using quantitative proteomics reveals protein networks involved in synaptic function and the etiology of neurodevelopmental disorders. Our findings formalize a link between the synaptic protein AIDA-1 and a rare, previously undefined genetic disease we term ANKS1B haploinsufficiency syndrome.

Polygenic risk score, genome-wide association, and gene set analyses of cognitive domain deficits in schizophrenia

This study assessed genetic contributions to six cognitive domains, identified by the MATRICS Cognitive Consensus Battery as relevant for schizophrenia, cognition-enhancing, clinical trials. Psychiatric Genomics Consortium Schizophrenia polygenic risk scores showed significant negative correlations with each cognitive domain. Genome-wide association analyses identified loci associated with attention/vigilance (rs830786 within HNF4G), verbal memory (rs67017972 near NDUFS4), and reasoning/problem solving (rs76872642 within HDAC9). Gene set analysis identified unique and shared genes across cognitive domains. These findings suggest involvement of common and unique mechanisms across cognitive domains and may contribute to the discovery of new therapeutic targets to treat cognitive deficits in schizophrenia.