Title |
Sixteen new lung function signals identified through 1000 Genomes Project reference panel imputation
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Published in |
Nature Communications, December 2015
|
DOI | 10.1038/ncomms9658 |
Pubmed ID | |
Authors |
María Soler Artigas, Louise V. Wain, Suzanne Miller, Abdul Kader Kheirallah, Jennifer E. Huffman, Ioanna Ntalla, Nick Shrine, Ma’en Obeidat, Holly Trochet, Wendy L. McArdle, Alexessander Couto Alves, Jennie Hui, Jing Hua Zhao, Peter K. Joshi, Alexander Teumer, Eva Albrecht, Medea Imboden, Rajesh Rawal, Lorna M. Lopez, Jonathan Marten, Stefan Enroth, Ida Surakka, Ozren Polasek, Leo-Pekka Lyytikäinen, Raquel Granell, Pirro G. Hysi, Claudia Flexeder, Anubha Mahajan, John Beilby, Yohan Bossé, Corry-Anke Brandsma, Harry Campbell, Christian Gieger, Sven Gläser, Juan R. González, Harald Grallert, Chris J. Hammond, Sarah E. Harris, Anna-Liisa Hartikainen, Markku Heliövaara, John Henderson, Lynne Hocking, Momoko Horikoshi, Nina Hutri-Kähönen, Erik Ingelsson, Åsa Johansson, John P. Kemp, Ivana Kolcic, Ashish Kumar, Lars Lind, Erik Melén, Arthur W. Musk, Pau Navarro, David C. Nickle, Sandosh Padmanabhan, Olli T. Raitakari, Janina S. Ried, Samuli Ripatti, Holger Schulz, Robert A. Scott, Don D. Sin, John M. Starr, Ana Viñuela, Henry Völzke, Sarah H. Wild, Alan F. Wright, Tatijana Zemunik, Deborah L. Jarvis, Tim D. Spector, David M. Evans, Terho Lehtimäki, Veronique Vitart, Mika Kähönen, Ulf Gyllensten, Igor Rudan, Ian J. Deary, Stefan Karrasch, Nicole M. Probst-Hensch, Joachim Heinrich, Beate Stubbe, James F. Wilson, Nicholas J. Wareham, Alan L. James, Andrew P. Morris, Marjo-Riitta Jarvelin, Caroline Hayward, Ian Sayers, David P. Strachan, Ian P. Hall, Martin D. Tobin |
Abstract |
Lung function measures are used in the diagnosis of chronic obstructive pulmonary disease. In 38,199 European ancestry individuals, we studied genome-wide association of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC with 1000 Genomes Project (phase 1)-imputed genotypes and followed up top associations in 54,550 Europeans. We identify 14 novel loci (P<5 × 10(-8)) in or near ENSA, RNU5F-1, KCNS3, AK097794, ASTN2, LHX3, CCDC91, TBX3, TRIP11, RIN3, TEKT5, LTBP4, MN1 and AP1S2, and two novel signals at known loci NPNT and GPR126, providing a basis for new understanding of the genetic determinants of these traits and pulmonary diseases in which they are altered. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 10% |
Spain | 2 | 10% |
Mexico | 1 | 5% |
Belgium | 1 | 5% |
Switzerland | 1 | 5% |
Ireland | 1 | 5% |
United Arab Emirates | 1 | 5% |
Comoros | 1 | 5% |
Unknown | 10 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 70% |
Scientists | 2 | 10% |
Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 2 | 1% |
Finland | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Spain | 1 | <1% |
Unknown | 135 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 35 | 25% |
Student > Master | 21 | 15% |
Student > Ph. D. Student | 12 | 9% |
Professor | 7 | 5% |
Professor > Associate Professor | 6 | 4% |
Other | 27 | 19% |
Unknown | 33 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 18% |
Biochemistry, Genetics and Molecular Biology | 25 | 18% |
Agricultural and Biological Sciences | 16 | 11% |
Nursing and Health Professions | 6 | 4% |
Computer Science | 5 | 4% |
Other | 21 | 15% |
Unknown | 43 | 30% |