Pathway-level transcriptional causal mechanism of sleep disordered breathing

睡眠呼吸障碍的通路水平转录因果机制

• 批准号: 10730266
• 负责人: Heming Wang
• 金额: $ 13.2万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10730266
• 关键词: Address; Affect; Apnea; Biochemical; Biological; Biological Markers; Biological Process; Biology; Blood Cells; Body mass index; Breathing; Candidate Disease Gene; Cardiometabolic Disease; Clinical; Complex; Computing Methodologies; Data; Databases; Disease; Disease Outcome; Ethnic Origin; Etiology; Excessive Daytime Sleepiness; Framingham Heart Study; Gene Expression; Genes; Genetic; Genetic Determinism; Genetic Transcription; Genomics; Genotype; Heritability; Heterogeneity; Hypoxemia; Individual; Inflammatory; Knowledge; Mendelian randomization; Meta-Analysis; Methods; Modeling; Molecular; Multi-Ethnic Study of Atherosclerosis; National Heart, Lung, and Blood Institute; Obesity; Older Population; Ontology; Outcome; Pathway interactions; Phenotype; Physiological; Population Study; Process; Proteomics; Publishing; Quantitative Trait Loci; Race; Records; Recurrence; Research; Risk; Sample Size; Sampling; Severities; Signal Transduction; Sleep; Sleep Apnea Syndromes; Sleep Fragmentations; Snoring; System; Testing; Tissues; Trans-Omics for Precision Medicine; Transcript; Women' s Health; biobank; cardiometabolism; case control; data resource; design; genetic association; genome wide association study; genomic data; heme biosynthesis; improved; indexing; instrument; metabolomics; mortality; multiple omics; novel; novel marker; novel strategies; secondary analysis; sex; statistics; trait; transcriptome; transcriptomics; whole genome

ABSTRACT Sleep disordered breathing (SDB) affects more than 20% of the older population and increases the risks of multiple cardiometabolic diseases and mortality. Candidate gene and genome-wide association studies (GWASs) have identified genes and pathways associated with SDB. However, the causality is not clear. Transcriptome- wide Mendelian randomization (MR) studies have recently been conducted to elucidate molecular mechanisms of complex diseases. However, the power is limited by the number of tested genes and tissues and small effects of single genes. Building on our preliminary data, we hypothesize that pathway-level transcriptional MR will have better power than single gene MR to identify causal molecular mechanisms for SDB. In this study, we will leverage well-established canonical pathways and existing methods to calculate pathway expression scores, as well as available transcriptomics and genomics data in population-based studies. We will address the following specific aims: 1) To describe tissue-specific and cross-tissue pathway activities using pathway expression scores and identify genetic associations for these scores by performing GWAS; 2) To identify causal associations between pathway activities and SDB by performing MR using GWAS summary statistics of pathway expression scores and SDB traits. Results of this study will advance our knowledge of the molecular basis of SDB, help identify SDB biomarkers, and provide novel treatment targets. This study also will provide a new approach to understand causal mechanisms for other complex diseases.

抽象的 睡眠呼吸障碍 (SDB) 影响超过 20% 的老年人，并增加了以下风险： 多种心脏代谢疾病和死亡率。候选基因和全基因组关联研究（GWAS） 已经确定了与 SDB 相关的基因和途径。然而，因果关系尚不清楚。转录组- 最近进行了广泛的孟德尔随机化（MR）研究来阐明分子机制 的复杂疾病。然而，其威力受到测试基因和组织数量的限制，且影响较小 单基因。根据我们的初步数据，我们假设通路水平转录 MR 将 比单基因 MR 更能识别 SDB 的因果分子机制。在本研究中，我们将 利用完善的规范途径和现有方法来计算途径表达分数，如 以及基于人群的研究中可用的转录组学和基因组学数据。我们将解决以下问题 具体目标：1）使用通路表达评分来描述组织特异性和跨组织通路活动 并通过进行 GWAS 来确定这些分数的遗传关联； 2）确定因果关系 通过使用通路表达的 GWAS 汇总统计进行 MR，在通路活性和 SDB 之间进行比较 分数和 SDB 特征。这项研究的结果将增进我们对 SDB 分子基础的了解，帮助 识别 SDB 生物标志物，并提供新的治疗靶点。这项研究还将提供一种新方法 了解其他复杂疾病的因果机制。