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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.

Original publication

DOI

10.1038/ng.500

Type

Journal article

Journal

Nature genetics

Publication Date

01/2010

Volume

42

Pages

45 - 52

Addresses

Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.

Keywords

Lung, Humans, Lung Diseases, Genetic Predisposition to Disease, Vital Capacity, Forced Expiratory Volume, Spirometry, Polymorphism, Single Nucleotide, Genome, Human, Databases, Genetic, Female, Male, Meta-Analysis as Topic, Genome-Wide Association Study