Search for obesity-associated genes with protective effects on metabolic health

寻找对代谢健康具有保护作用的肥胖相关基因

• 批准号: 9750108
• 负责人: Ruth JF Loos
• 金额: $ 57.95万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-20 至 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9750108
• 关键词: Address; Adipose tissue; Affect; Animal Model; Biological; Biological Models; Biology; CRISPR/Cas technology; Candidate Disease Gene; Cardiovascular Diseases; Cardiovascular system; Clinical; Clinical Research; Data; Dyslipidemias; Endocrine; Etiology; Fatty acid glycerol esters; Gene Expression; General Population; Genes; Genetic; Genome; Genotype; Health; Human; Hypertension; Individual; Knowledge; Larva; Lead; Link; Meta-Analysis; Metabolic; Methods; Molecular; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Outcome; Pathway interactions; Phenotype; Physiological; Prevention; Research Personnel; Risk; Risk Factors; Role; Sample Size; Testing; Thinness; Time; Tissues; Transcriptional Regulation; Transgenic Organisms; Translational Research; Weight; Zebrafish; adipocyte differentiation; base; biobank; cardiometabolic risk; cardiometabolism; causal variant; cell type; design; disorder risk; epigenetic regulation; experimental study; follow-up; genetic variant; genome wide association study; genome-wide; genome-wide analysis; high throughput screening; induced pluripotent stem cell; innovation; insight; lipid biosynthesis; mouse model; obesity genetics; obesity risk; obesity treatment; phenotypic data; protective effect; statistics; stem cell differentiation; trait; transcriptomics; treatment strategy

Obesity is a major risk factor for a number of metabolic and cardiovascular complications. However, a substantial proportion of obese individuals are protected from cardiometabolic complications, despite their excess adiposity (the so-called metabolically healthy obese, MHO). Conversely, not all normal weight individuals are metabolically healthy, despite being lean (the metabolically obese normal weight, MONW). The physiological mechanisms that determine why some obese individuals are protected, and why some normal weight individuals are at risk, are poorly understood, because clinical studies are often too small and methods to test presumed pathways involved are too invasive. Identifying genes and the pathways in which they are implicated provides an alternative strategy to elucidate the biology that underlies the MHO and MONW. Genome-wide association studies (GWAS) have so far identified >300 loci for obesity traits. However, these loci have provided only limited insight into the mechanisms that link obesity and its complications, because the GWAS examine each trait in isolation and ignore the fact that obesity is a heterogeneous clinical condition. Therefore, we propose to [1] perform a multi-trait genome-wide search for obesity-increasing loci with protective effects on cardiometabolic traits and vice versa, [2] prioritize candidate genes within identified loci, and [3] functionally characterize prioritized candidate genes in model systems. Specifically, we apply two complementary discovery approaches. In the first approach (Aim 1a), we perform multi-trait correlated meta-analyses that combine summary statistics of adiposity and cardiometabolic GWAS from large-scale genetic consortia and the UK Biobank (Ntotal~840,000). We aim to identify SNPs simultaneously associated with increased adiposity and a favorable cardiometabolic risk profile, and vice versa. In the second approach (Aim 1b), we use individual-level data from the UKBiobank (N~500,000) to perform GWAS on new outcomes derived from the difference between a cardiometabolic and an adiposity trait. Next, we prioritize the most likely candidate genes in identified loci and the most relevant tissues using functional annotation pipelines (Aim 2a) and high-throughput screens in transgenic CRISPR-Cas9-based zebrafish model systems (Aim 2b). Lastly, we investigate the functional impact of prioritized genes using CRISPR-Cas9 in human-induced pluripotent stem cells (hiPSCs) differentiated into relevant cell types (Aim 3a) and tissue-specific transcriptomic analyses in transgenic zebrafish model systems (Aim 3b). Our focus on obesity-associated loci with protective effects on health (and vice versa) is unique and targets a biology that has not been accessed with single-trait GWAS. Our approaches that use model systems to prioritize and characterize genes are innovative and will provide the critical insights needed for in-depth follow- up in murine models and clinical studies. Some identified genes may point towards actionable targets for the prevention and treatment of obesity and its complications with clinical impact for the general population.

肥胖是许多代谢和心血管并发症的主要危险因素。然而,一个