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Genome-wide gene-by-smoking interaction analysis of pulmonary function

肺功能的全基因组基因与吸烟的相互作用分析

基本信息

批准号：
8807329
负责人：
Alanna C Morrison
金额：
$ 15.4万
依托单位：
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-12-15 至 2017-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8807329
关键词：
Adult Affect African Aging Architecture Biological Chronic Obstructive Airway Disease Cigarette Smoker Clinical Complex Data Data Analyses Data Set Development Diagnosis Environment Environmental Risk Factor Epidemiology Equation Etiology European Family Study Forced expiratory volume function Frequencies Genes Genetic Genetic Predisposition to Disease Genetic Variation Genome Genomics Genotype Heart Heritability Individual Investigation Joints Lung Lung diseases Measures Methods Open Reading Frames Pathway interactions Phenotype Play Publishing Pulmonary Function Test/Forced Expiratory Volume 1 Reporting Research Research Infrastructure Resources Respiratory physiology Risk Risk Factors Role Severities Single Nucleotide Polymorphism Smoking Smoking History Statistical Methods Testing Time Twin Studies Variant Vital capacity Work base bead chip cigarette smoking cohort cost effective exome gene environment interaction genome wide association study genome-wide genome-wide analysis insight interest novel organizational structure public health relevance pulmonary function rare variant response tool trait working group

项目摘要

DESCRIPTION (provided by applicant): This proposal is in response to PAR-13-382, supporting secondary data analyses of existing large genomic datasets for the purpose of identifying gene-by-environment (GxE) interactions. Lung function and its decline in older adulthood is likely the result of genetic and environmental influences. Cigarette smoking is a key environmental context for loss of lung function over time. Genome-wide association studies (GWAS) identified 26 genetic loci associated with cross-sectional spirometric measures of lung function. Recent GWAS of the longitudinal change in lung function have identified additional novel loci. To date, there is only one published genome-wide study of GxE interaction on lung function that considers smoking as the environment of interest. This genome-wide GxE study used common variation and cross-sectional information on lung function and smoking to identify three novel loci not previously associated with lung function. In aggregate, these published studies made important contributions to understanding the etiology of lung function, and were facilitated by the organizational structure and support of the Cohorts for Heart and Aging in Genomic Epidemiology (CHARGE) consortium and the CHARGE Pulmonary Working Group. Additional investigation is warranted to further understand how smoking interacts with genetic factors to influence lung function. The objective of this proposal is to elucidate the complex interplay of genes and environment underlying lung function using state-of-the-art statistical methods and analysis strategies that leverage available data resources. Ongoing work within the CHARGE Pulmonary Working Group includes analysis of data from the Illumina HumanExome BeadChip (the "exome chip") for ~33,800 individuals of European ancestry with spirometric measures of lung function, all of whom also have longitudinal measures of smoking history and lung function. An additional ~6,000 individuals of African ancestry have measures of lung function, smoking history, and exome chip data, and ~3,800 also have longitudinal measures. Spirometric measures include forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and their ratio (FEV1/FVC). These measures of lung function are important clinical tools for diagnosing pulmonary disease, classifying its severity, and evaluating its progression over time. The large volume of phenotype and exome chip data available within the CHARGE consortium provides a unique, cost-effective opportunity to apply new analytical approaches and methods. This application has two novel aspects: 1) investigation of rare variation and environmental interactions, and 2) investigation of longitudinal measures of environmental factors. The proposed research represents the "next step" in the efforts to investigate the interplay of genetic variation and environmental factors influencing lung function. Results from this study may disclose novel genetic susceptibilities to smoking exposure or a greater understanding of the role of smoking in the development, progression, and severity of declining lung function.