Title |
Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function
|
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Published in |
PLOS ONE, July 2014
|
DOI | 10.1371/journal.pone.0100776 |
Pubmed ID | |
Authors |
Wenbo Tang, Matthew Kowgier, Daan W Loth, María Soler Artigas, Bonnie R Joubert, Emily Hodge, Sina A Gharib, Albert V Smith, Ingo Ruczinski, Vilmundur Gudnason, Rasika A Mathias, Tamara B Harris, Nadia N Hansel, Lenore J Launer, Kathleen C Barnes, Joyanna G Hansen, Eva Albrecht, Melinda C Aldrich, Michael Allerhand, R Graham Barr, Guy G Brusselle, David J Couper, Ivan Curjuric, Gail Davies, Ian J Deary, Josée Dupuis, Tove Fall, Millennia Foy, Nora Franceschini, Wei Gao, Sven Gläser, Xiangjun Gu, Dana B Hancock, Joachim Heinrich, Albert Hofman, Medea Imboden, Erik Ingelsson, Alan James, Stefan Karrasch, Beate Koch, Stephen B Kritchevsky, Ashish Kumar, Lies Lahousse, Guo Li, Lars Lind, Cecilia Lindgren, Yongmei Liu, Kurt Lohman, Thomas Lumley, Wendy L McArdle, Bernd Meibohm, Andrew P Morris, Alanna C Morrison, Bill Musk, Kari E North, Lyle J Palmer, Nicole M Probst-Hensch, Bruce M Psaty, Fernando Rivadeneira, Jerome I Rotter, Holger Schulz, Lewis J Smith, Akshay Sood, John M Starr, David P Strachan, Alexander Teumer, André G Uitterlinden, Henry Völzke, Arend Voorman, Louise V Wain, Martin T Wells, Jemma B Wilk, O Dale Williams, Susan R Heckbert, Bruno H Stricker, Stephanie J London, Myriam Fornage, Martin D Tobin, George T O'Connor, Ian P Hall, Patricia A Cassano |
Abstract |
Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Comoros | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
Portugal | 1 | <1% |
Unknown | 135 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 35 | 26% |
Student > Master | 20 | 15% |
Student > Ph. D. Student | 16 | 12% |
Student > Bachelor | 12 | 9% |
Student > Doctoral Student | 7 | 5% |
Other | 21 | 15% |
Unknown | 26 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 22% |
Biochemistry, Genetics and Molecular Biology | 13 | 9% |
Agricultural and Biological Sciences | 12 | 9% |
Nursing and Health Professions | 11 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
Other | 26 | 19% |
Unknown | 38 | 28% |