Study Report - Meta-analysis of pulmonary function (HGVST498)
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Explore Study in Browser| Identifier | HGVST498 | ||||||||||||||||||||
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| Study name | Meta-analysis of pulmonary function | ||||||||||||||||||||
| Total p-values imported | 8 | ||||||||||||||||||||
| Phenotype(s) tested | Forced expiratory volume in one second Forced expiratory volume in one second/forced vital capacity ratio |
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| Study design | Quantitative trait analysis with replication | ||||||||||||||||||||
| Genotype platforms |
Affymetrix & Illumina 2,534,500 (imputed) | ||||||||||||||||||||
| Abstract | Spirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV(1)) and its ratio to forced vital capacity (FEV(1)/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study. We identified eight loci associated with FEV(1)/FVC (HHIP, GPR126, ADAM19, AGER-PPT2, FAM13A, PTCH1, PID1 and HTR4) and one locus associated with FEV(1) (INTS12-GSTCD-NPNT) at or near genome-wide significance (P < 5 x 10(-8)) in the CHARGE Consortium dataset. Our findings may offer insights into pulmonary function and pathogenesis of chronic lung disease. | ||||||||||||||||||||
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Author communication  |
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| Related links |
NHGRI GWAS catalog study annotation for HGVST498 |
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| Background | Not supplied | ||||||||||||||||||||
| Objectives | Not supplied | ||||||||||||||||||||
| Key results | Not supplied | ||||||||||||||||||||
| Conclusions | Not supplied | ||||||||||||||||||||
| Reason for study size | Not supplied | ||||||||||||||||||||
| Study power | Not supplied | ||||||||||||||||||||
| Sources of bias | Not supplied | ||||||||||||||||||||
| Limitations | Not supplied | ||||||||||||||||||||
| Acknowledgements | Not supplied | ||||||||||||||||||||
| Related citations |
Hancock DB, Eijgelsheim M, Wilk JB et al.
Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function. Nature genetics 2010;42(1):45-52
Hindorff LA, Sethupathy P, Junkins HA et al.
Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proceedings of the National Academy of Sciences U S A. 2009 May 27 |
