Using integrated omics to identify dysfunctional genetic mechanisms influencing schizophrenia and sleep disturbances

使用整合组学来识别影响精神分裂症和睡眠障碍的功能失调的遗传机制

• 批准号: 10770880
• 负责人: Steven Allan Soper
• 金额: $ 25.5万
• 依托单位: UNIVERSITY OF KANSAS MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-01 至 2024-04-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10770880
• 关键词: Biochemical Genetics; Biochemical Pathway; Brain; Brain region; Caring; Communities; Data; Diagnosis; Disease; Drug Targeting; Early Diagnosis; Early Intervention; Female; Genes; Genetic; Genetic Risk; Genetic Variation; Genome; Genomics; Goals; Human; Individual; Investigation; Kansas; Knowledge; Medical; Medical center; Mental Health; Multiomic Data; Outcome; Patients; Pharmacogenetics; Proteins; Proteome; Race; Reporting; Research Personnel; Resources; Risk; Schizophrenia; Severities; Sleep; Sleep Disorders; Sleep disturbances; Sleeplessness; Specimen; Symptoms; Universities; Variant; Work; improved; male; neurodevelopment; pleiotropism; precision medicine; risk prediction; sample collection; sleep behavior; sleep regulation; small molecule; transcriptome

The proposed work aims to decipher genetic factors dysregulated in the brains of individuals with schizophrenia with pleiotropic effects influencing sleep issues. The goals are to inform genomic driven medical care for improved treatment of sleep problems, which are among the most common co-occurring conditions in these patients. Sleep disruptions are associated with more severe schizophrenia-related symptoms. Healthy sleep is important for neurodevelopment, indicating that managing sleep disturbances may have significant impacts on reducing severity of schizophrenia symptoms and improving long-term outcomes. Characterizing pleiotropic genetic effects using multiomics data holds promise for informing precision medicine approaches to treatment of sleep problems in these individuals. Investigators at the University of Kansas Medical Center have whole brain specimens from human donors diagnosed with schizophrenia and confirmed controls. This brain bank reflects a diverse collection of specimens from males and females with different reported race. This project will generate multi-omics data from sleep-wake regulating brain regions in these specimens and identify genetic variation impacting function of pleiotropic genes and proteins evidenced to increase risk for both schizophrenia and insomnia-related symptoms. Variants with evidence for pharmacogenetic and regulatory effects on genes encoding drug targets will be evaluated. Genetic risk scores calculated from sequence data that are useful to predicting risk and aiding in early detection and intervention will be functionally validated. In addition, this project will comprehensively characterize gene and protein coexpression connecting two important brain regions known to regulate human sleep behaviors. Combining evidence from the genome, transcriptome and proteome will allow for discerning the biochemical pathways and genetic mechanisms dysregulated in sleep-wake regulating brain regions from these patients and help identify proteins that can be targeted by small molecule compounds to treat sleep problems more effectively. This work should also provide knowledge of how convergent mechanisms influence risk for multiple disorders in the same individual. The approaches developed and data generated in this project will provide a rich resource that will be shared with the larger scientific community allowing for investigations of the sleep regulation network in a diverse representation of individuals with mental health conditions.

提出的工作旨在破译遗传因素失调的个体的大脑有