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

@article{Hancock2010MetaanalysesOG,
  title={Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function},
  author={Dana B Hancock and Mark Eijgelsheim and Jemma B. Wilk and Sina A Gharib and Laura R. Loehr and Kristin D. Marciante and Nora Franceschini and Yannick M T A van Durme and Ting-hsu Chen and Robert G. Barr and Matthew B. Schabath and David Couper and Guy G Brusselle and Bruce M. Psaty and Cornelia M. van Duijn and Jerome I. Rotter and Andr{\'e} G. Uitterlinden and Albert Hofman and Naresh M. Punjabi and Fernando Rivadeneira and Alanna C. Morrison and Paul L. Enright and Kari E. North and Susan R. Heckbert and Thomas S Lumley and Bruno C. Stricker and George T. O'Connor and Stephanie J London},
  journal={Nature Genetics},
  year={2010},
  volume={42},
  pages={45-52}
}
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 (FEV1) and its ratio to forced vital capacity (FEV1/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in… CONTINUE READING
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