Details

Autor(en) / Beteiligte

• Wilk, Jemma B
• Loehr, Laura R
• Eijgelsheim, Mark
• Chen, Ting-hsu
• Stricker, Bruno H C
• Enright, Paul L
• van Durme, Yannick M T A
• Couper, David J
• Schabath, Matthew B
• London, Stephanie J
• Franceschini, Nora
• van Duijn, Cornelia M
• Rivadeneira, Fernando
• North, Kari E
• Morrison, Alanna C
• Heckbert, Susan R
• Hancock, Dana B
• Psaty, Bruce M
• Punjabi, Naresh M
• Lumley, Thomas
• O'Connor, George T
• Hofman, Albert
• Uitterlinden, André G
• Barr, R Graham
• Brusselle, Guy G
• Gharib, Sina A
• Marciante, Kristin D
• Rotter, Jerome I

Titel

Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function

Ist Teil von

• Nature genetics, 2010-01, Vol.42 (1), p.45-52

Ort / Verlag

New York, NY: Nature Publishing Group

Erscheinungsjahr

2010

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.