BMC Medical Genetics · 2018 · 44 citations · 17 references
Life SciencesGeneticsMolecular GeneticsGenetic EpidemiologyHuman GeneticsMedical GeneticsChronic Obstructive Pulmonary DiseaseDisease Susceptibility LociGenetic RiskGenome-wide Association StudiesRare Variant Association StudiesRespiratory DiseaseCopd PhenotypesGenome-wide Association MappingGenome-wide Association Study DesignLung Function DeclineLung Function TestingRare Variant ContributionRare Variant DiscoverySmoking-related Genetic Risk
The aim of this study is to identify genetic loci associated with post-bronchodilator FEV 1 /FVC and FEV 1 , and develop a multi-gene predictive model for lung function in COPD. Genome-wide association study (GWAS) of post-bronchodilator FEV 1 /FVC and FEV 1 was performed in 1645 non-Hispanic White European descent smokers. A functional rare variant in SERPINA1 (rs28929474: Glu342Lys) was significantly associated with post-bronchodilator FEV 1 /FVC ( p = 1.2 × 10 − 8 ) and FEV 1 ( p = 2.1 × 10 − 9 ). In addition, this variant was associated with COPD (OR = 2.3; p = 7.8 × 10 − 4 ) and severity (OR = 4.1; p = 0.0036). Heterozygous subjects (CT genotype) had significantly lower lung function and higher percentage of COPD and more severe COPD than subjects with the CC genotype. 8.6% of the variance of post-bronchodilator FEV 1 /FVC can be explained by SNPs in 10 genes with age, sex, and pack-years of cigarette smoking ( P < 2.2 × 10 − 16 ). This study is the first to show genome-wide significant association of rs28929474 in SERPINA1 with lung function. Of clinical importance, heterozygotes of rs28929474 (4.7% of subjects) have significantly reduced pulmonary function, demonstrating a major impact in smokers. The multi-gene model is significantly associated with CT-based emphysema and clinical outcome measures of severity. Combining genetic information with demographic and environmental factors will further increase the predictive power for assessing reduced lung function and COPD severity.
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SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
Andrew D. Johnson, Robert E. Handsaker, Sara L. Pulit et al. · Bioinformatics · 2008 · 1.4K citations · Full text