Human Genetic risk factors for Disseminated Coccidioidomycosis (DCM)

播散性球孢子菌病 (DCM) 的人类遗传危险因素

• 批准号: 10554385
• 负责人: Valerie A Arboleda
• 金额: $ 13.48万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-24 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10554385
• 关键词: ATAC-seq; Acute Lymphocytic Leukemia; African American; African American population; Asthma; Biological Models; Blood; Chromatin; Clinical; Coccidioides immitis; Coccidioides posadasii; Coccidioidomycosis; Code; DNA; Data; Data Analyses; Data Set; Defect; Diagnosis; Disease; Eczema; Environment; Epigenetic Process; Ethnic Origin; Ethnic Population; European ancestry; Genes; Genetic; Genetic Markers; Genetic Models; Genetic Predisposition to Disease; Genetic Risk; Genetic Variation; Genetic study; Genomics; Human; Human Genetics; Immune; Immune Response Genes; Immune signaling; Immunogenetics; In Vitro; Individual; Infection; Inherited; Latino; Lung infections; Malignant Neoplasms; Molecular; Morbidity - disease rate; Mus; Mutation; Natural Immunity; North America; Observational epidemiology; Pathogenesis; Pathogenicity; Pathway interactions; Patient Self-Report; Patients; Persons; Population; Population Group; Primary Infection; Proteins; Publishing; RNA; RNA Splicing; Race; Regulation; Regulator Genes; Regulatory Pathway; Risk; Risk Factors; Role; Sample Size; Severities; Signal Pathway; Signal Transduction; Source; Transcriptional Regulation; Untranslated RNA; Validation; Variant; Virulence; adaptive immunity; desert fever; epidemiology study; exome sequencing; functional genomics; genetic risk factor; genetic variant; genome sequencing; genome-wide; genomic data; genomic tools; high risk; immunomodulatory therapies; insight; mortality; mouse genetics; multiple omics; novel; racial population; rare variant; risk variant; sex; single-cell RNA sequencing; sociodemographics; software development; terabyte; transcriptome; transcriptome sequencing; transcriptomics

Scientific Project 3: Human Genetic Risk Factors for Disseminated Coccidioidomycosis (DCM) ABSTRACT This project will focus on elucidating human host genetic risk variants that predispose individuals to DCM. For the past 80 years, epidemiological studies have demonstrated that certain specific racial and ethnic groups were more likely to progress towards severe disseminated Coccidioidomycosis, While many of these observations have held up over, the underlying mechanistic and genetic pathogenesis underlying these epidemiological observation have not been fully evaluated. There have been several major barriers to these types of genomic studies where the relationship between host-genetic background and environment (here infection): 1) small- sample sizes for most studies; 2) challenge of handling terabytes of genomic data; 3) limited sequencing data for non-european populations;and 4) identifying relevant functional readouts to confirm the effect of variants in relevant model systems. In this U19 proposal, project 3 brings together over 600 existing exome and genome sequencing datasets and proposes to collect and sequence over 500 additional cases and controls. This will be the largest genetic study of coccidioidomycosis to date. Key to this data analysis is the experts in this proposal whose expertise enables us to handle Terabytes of data and to analyze it using ancestry-specific approaches. We will explore two major hypotheses: that common variants that make up ancestry-specific approaches underly race and ethnicity specific differences in DCM or that rare genetic variants in key immune signaling pathways increase risk of DCM. Both hypotheses are not necessarily mutually exclusive and may explain some of the disease associations that have been observed. In addition to identifying the DNA variants, we will perform ATAC-seq, RNA-sequencing studies to functionally validate non-coding and splicing changes caused by non- coding genetic variants. A key aspect of this project is its ability to rapidly integrate with projects 1 and 2 and Core C in order to validate novel genetic variants and their effects on immune pathways. It will allow us to directly bridge the gap between identified genetic variants and clinical function.

科学项目3：播散性球孢子菌病（DCM）的人类遗传危险因素