Linkage and whole genome sequencing identify a locus on 6q25-26 for formal thought disorder and implicate MEF2A regulation.

Schizophr Res

Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Boserupvej 2, 4000 Roskilde, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark; Institute of Clinical Sciences, Faculty of Medicine and Health Sciences, University of Copenhagen, Blegdamsvej 3, 2300 Copenhagen N, Denmark. Electronic address:

Published: December 2015

AI Article Synopsis

  • Formal thought disorder is a key characteristic of schizophrenia and can be inherited, but specific genetic factors are not well understood.
  • This study, involving a large family study in Copenhagen, used advanced genetic analysis to pinpoint a significant region on chromosome 6 linked to formal thought disorder.
  • Results suggest that a specific genetic variant may impact a transcription factor related to schizophrenia, indicating a potential risk factor for developing formal thought disorder.

Article Abstract

Formal thought disorder is a major feature of schizophrenia and other psychotic disorders. It is heritable, found in healthy relatives of patients with schizophrenia and other mental disorders but knowledge of specific genetic factors is lacking. The aim of this study was to search for biologically relevant high-risk variants. Formal thought disorder was assessed in participants in the Copenhagen Schizophrenia Linkage Study (N=236), a unique high-risk family study comprised of six large pedigrees. Microsatellite linkage analysis of formal thought disorder was performed and subsequent haplotype analysis of the implicated region using phased microsatellite and SNP genotypes. Whole genome sequencing (N=3) was used in the attempt to identify causative variants in the linkage region. Linkage analysis of formal thought disorder resulted in a single peak at chromosome 6(q26-q27) centred on marker D6S1277, with a maximum LOD score of 4.0. Phasing and fine mapping of the linkage peak identified a 5.5Mb haplotype (chr6:162242322-167753547, hg18) in 31 individuals, all belonging to the same pedigree sharing the haplotype from a common ancestor. The haplotype segregated with increased total thought disorder index score (P=4.9 × 10(-5)) and qualitatively severe forms of thought disturbances. Whole genome sequencing identified a novel nucleotide deletion (chr6:164377205 AG>A, hg18) predicted to disrupt the potential binding of the transcription factor MEF2A. The MEF2A binding site is located between two genes previously reported to associate with schizophrenia, QKI (HGNC:21100) and PDE10A (HGNC:8772). The findings are consistent with MEF2A deregulation conferring risk of formal thought disorder.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.schres.2015.08.037DOI Listing

Publication Analysis

Top Keywords

thought disorder
28
formal thought
24
genome sequencing
12
thought
8
linkage analysis
8
analysis formal
8
disorder
7
linkage
6
formal
6
linkage genome
4

Similar Publications

The Three-Class Annotation Method Improves the AI Detection of Early-Stage Osteosarcoma on Plain Radiographs: A Novel Approach for Rare Cancer Diagnosis.

Cancers (Basel)

December 2024

Science of Functional Recovery and Reconstruction, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan.

: Developing high-performance artificial intelligence (AI) models for rare diseases is challenging owing to limited data availability. This study aimed to evaluate whether a novel three-class annotation method for preparing training data could enhance AI model performance in detecting osteosarcoma on plain radiographs compared to conventional single-class annotation. : We developed two annotation methods for the same dataset of 468 osteosarcoma X-rays and 378 normal radiographs: a conventional single-class annotation (1C model) and a novel three-class annotation method (3C model) that separately labeled intramedullary, cortical, and extramedullary tumor components.

View Article and Find Full Text PDF

The substantial evidence supporting the ketogenic diet (KD) in epilepsy management has spurred research into its effects on other neurological and psychiatric conditions. Despite differences in characteristics, symptoms, and underlying mechanisms, these conditions share common pathways that the KD may influence. The KD reverses metabolic dysfunction.

View Article and Find Full Text PDF

Mechanism and Application of Biomaterials Targeting Reactive Oxygen Species and Macrophages in Inflammation.

Int J Mol Sci

December 2024

School of Basic Medicine, Soochow University, Dushu Lake Campus, 199 Renai Road, Suzhou Industrial Park, Suzhou 215123, China.

Inflammation, an adaptive reaction to harmful stimuli, is a necessary immune system response and can be either acute or chronic. Since acute inflammation tends to eliminate harmful stimuli and restore equilibrium, it is generally advantageous to the organism. Chronic inflammation, however, is caused by either increased inflammatory signaling or decreased pro-anti-inflammatory signaling.

View Article and Find Full Text PDF

SUGT1 is a prognostic biomarker and is associated with immune infiltrates in ovarian cancer.

Eur J Med Res

January 2025

Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, NO. 3 Qingchun East Road, Hangzhou, 310016, China.

Background: Ovarian cancer (OC) is a prevalent gynecological malignancy with a relatively dismal prognosis. The SGT1 homolog (SUGT1) protein, which interacts with heat shock protein 90 and is essential for the G1/S and G2/M transitions, was formerly thought to be a cancer promoter, but its precise role in OC remains unknown.

Methods: We conducted a comprehensive bioinformatics analysis of SUGT1 expression in patients with OC compared with their normal controls, including the data from the cancer genome atlas (TCGA), genotype-tissue expression (GTEx) databases, gene ontology (GO) analysis, Kyoto Encylopedia of Genes and Genomes (KEGG) analysis, gene set enrichment analysis (GSEA), single sample gene set enrichment analysis (ssGSEA).

View Article and Find Full Text PDF

Background: Seasonal vaccination is the mainstay of human influenza prevention. Licensed influenza vaccines are regularly updated to account for viral mutations and antigenic drift and are standardised for their haemagglutinin content. However, vaccine effectiveness remains suboptimal.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!