The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Genome-Wide Joint Meta-Analysis of SNP and SNP-by-Smoking Interaction Identifies Novel Loci for Pulmonary Function
Open accessAbstract
Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00×10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35×10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28×10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Self-citationMETAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
The Cardiovascular Health Study: design and rationale.
Fried, L. P., Borhani, N. O., Enright, P., Furberg, C. D., Gardin, J. M., Kronmal, R. A., Kuller, L. H., Manolio, T. A., Mittelmark, M. B., Newman, A., et al. (1991) · Annals of Epidemiology · doi:10.1016/1047-2797(91)90005-w · Cited by 3,652
Self-citationHundreds of variants clustered in genomic loci and biological pathways affect human height
Lango Allen, H., Estrada, K., Lettre, G., Berndt, S. I., Weedon, M. N., Rivadeneira, F., Willer, C. J., Jackson, A. U., Vedantam, S., Raychaudhuri, S., et al. (2010) · Nature · doi:10.1038/nature09410 · Cited by 1,945
Self-citationAge, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics
Harris, T. B., Launer, L. J., Eiriksdottir, G., Kjartansson, O., Jonsson, P. V., Sigurdsson, G., Thorgeirsson, G., Aspelund, T., Garcia, M. E., Cotch, M. F., et al. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwk115 · Cited by 592
Self-citationDetecting shared pathogenesis from the shared genetics of immune-related diseases
Zhernakova, A., van Diemen, C. C., & Wijmenga, C. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2489 · Cited by 551
Self-citationAndrew, T., Hart, D. J., Snieder, H., de Lange, M., Spector, T. D., & MacGregor, A. J. (2001) · Twin Research · doi:10.1375/1369052012803 · Cited by 440
Self-citationExploiting Gene-Environment Interaction to Detect Genetic Associations
Kraft, P., Yen, Y.-C., Stram, D. O., Morrison, J., & Gauderman, W. J. (2007) · Human Heredity · doi:10.1159/000099183 · Cited by 439
Self-citationStolk, R. P., Rosmalen, J. G. M., Postma, D. S., de Boer, R. A., Navis, G., Slaets, J. P. J., Ormel, J., & Wolffenbuttel, B. H. R. (2008) · European Journal of Epidemiology · doi:10.1007/s10654-007-9204-4 · Cited by 391
Self-citation
Research works printed but not linked: 73
- DJ Hole, 1996, Impaired lung function and mortality risk in men and women: findings from the Renfrew and Paisley prospective population study, BMJ, 313, 711, 10.1136/bmj.313.7059.711 · DOI · Paper page
- HJ Schunemann, 2000, Pulmonary function is a long-term predictor of mortality in the general population: 29-year follow-up of the Buffalo Health Study, Chest, 118, 656, 10.1378/chest.118.3.656 · DOI · Paper page
- PK Myint, 2005, Respiratory function and self-reported functional health: EPIC-Norfolk population study, Eur Respir J, 26, 494, 10.1183/09031936.05.00023605 · DOI
- S Redline, 1987, Assessment of genetic and nongenetic influences on pulmonary function. A twin study, Am Rev Respir Dis, 135, 217
- HB Hubert, 1982, Genetic and environmental influences on pulmonary function in adult twins, Am Rev Respir Dis, 125, 409
- JB Wilk, 2009, A genome-wide association study of pulmonary function measures in the Framingham Heart Study, PLoS Genet, 5, e1000429, 10.1371/journal.pgen.1000429 · DOI · Paper page
- SG Pillai, 2009, A genome-wide association study in chronic obstructive pulmonary disease (COPD): identification of two major susceptibility loci, PLoS Genet, 5, e1000421, 10.1371/journal.pgen.1000421 · DOI · Paper page
- DB Hancock, 2010, Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function, Nat Genet, 42, 45, 10.1038/ng.500 · DOI · Paper page
- E Repapi, 2010, Genome-wide association study identifies five loci associated with lung function, Nat Genet, 42, 36, 10.1038/ng.501 · DOI · Paper page
- M Soler Artigas, 2011, Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function, Nat Genet, 43, 1082, 10.1038/ng.941 · DOI · Paper page
- TH Beaty, 2011, Evidence for gene-environment interaction in a genome wide study of nonsyndromic cleft palate, Genet Epidemiol, 35, 469
- Y Liu, 2011, Genome-wide interaction-based association analysis identified multiple new susceptibility Loci for common diseases, PLoS Genet, 7, e1001338, 10.1371/journal.pgen.1001338 · DOI
- MJ Ege, 2011, Gene-environment interaction for childhood asthma and exposure to farming in Central Europe, J Allergy Clin Immunol, 127, 138, 10.1016/j.jaci.2010.09.041 · DOI
- AK Manning, 2012, A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance, Nat Genet, 44, 659, 10.1038/ng.2274 · DOI · Paper page
- AK Manning, 2011, Meta-analysis of gene-environment interaction: joint estimation of SNP and SNPxEnvironment regression coefficients, Genet Epidemiol, 35, 11, 10.1002/gepi.20546 · DOI · Paper page
- H Aschard, 2010, Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effects, Hum Hered, 70, 292, 10.1159/000323318 · DOI
- W Wen, 2012, Meta-analysis identifies common variants associated with body mass index in east Asians, Nat Genet, 44, 307, 10.1038/ng.1087 · DOI · Paper page
- MC Cornelis, 2012, Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes, Am J Epidemiol, 175, 191, 10.1093/aje/kwr368 · DOI
- CE Elks, 2010, Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies, Nat Genet, 42, 1077, 10.1038/ng.714 · DOI · Paper page
- CM Lindgren, 2009, Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution, PLoS Genet, 5, e1000508, 10.1371/journal.pgen.1000508 · DOI · Paper page
- MF Moffatt, 2010, A large-scale, consortium-based genomewide association study of asthma, N Engl J Med, 363, 1211, 10.1056/NEJMoa0906312 · DOI · Paper page
- R Kohansal, 2009, The natural history of chronic airflow obstruction revisited: an analysis of the Framingham offspring cohort, Am J Respir Crit Care Med, 180, 3, 10.1164/rccm.200901-0047OC · DOI · Paper page
- JZ Liu, 2010, Meta-analysis and imputation refines the association of 15q25 with smoking quantity, Nat Genet, 42, 436, 10.1038/ng.572 · DOI · Paper page
- T Barrett, 2011, NCBI GEO: archive for functional genomics data sets–10 years on, Nucleic Acids Res, 39, D1005, 10.1093/nar/gkq1184 · DOI · Paper page
- BG Harvey, 2007, Modification of gene expression of the small airway epithelium in response to cigarette smoking, J Mol Med (Berl), 85, 39, 10.1007/s00109-006-0103-z · DOI · Paper page
- JJ Caulfield, 1999, Regulation of major histocompatibility complex class II antigens on human alveolar macrophages by granulocyte-macrophage colony-stimulating factor in the presence of glucocorticoids, Immunology, 98, 104, 10.1046/j.1365-2567.1999.00862.x · DOI
- AR Glanville, 1989, The distribution of MHC class I and II antigens on bronchial epithelium, Am Rev Respir Dis, 139, 330, 10.1164/ajrccm/139.2.330 · DOI
- AL Dixon, 2007, A genome-wide association study of global gene expression, Nat Genet, 39, 1202, 10.1038/ng2109 · DOI · Paper page
- A Tohgo, 2006, Impaired cerebellar functions in mutant mice lacking DNER, Mol Cell Neurosci, 31, 326, 10.1016/j.mcn.2005.10.003 · DOI
- N Fukazawa, 2008, Receptor type protein tyrosine phosphatase zeta-pleiotrophin signaling controls endocytic trafficking of DNER that regulates neuritogenesis, Mol Cell Biol, 28, 4494, 10.1128/MCB.00074-08 · DOI
- JR Park, 2010, DNER modulates adipogenesis of human adipose tissue-derived mesenchymal stem cells via regulation of cell proliferation, Cell Prolif, 43, 19, 10.1111/j.1365-2184.2009.00650.x · doi:10.1111/j.1365-2184.2009.00650.x
- L Kowalik, 2011, A search for factors specifying tonotopy implicates DNER in hair-cell development in the chick's cochlea, Dev Biol, 354, 221, 10.1016/j.ydbio.2011.03.031 · DOI
- JS Guseh, 2009, Notch signaling promotes airway mucous metaplasia and inhibits alveolar development, Development, 136, 1751, 10.1242/dev.029249 · DOI · Paper page
- PN Tsao, 2009, Notch signaling controls the balance of ciliated and secretory cell fates in developing airways, Development, 136, 2297, 10.1242/dev.034884 · DOI · Paper page
- AE Tilley, 2009, Down-regulation of the notch pathway in human airway epithelium in association with smoking and chronic obstructive pulmonary disease, Am J Respir Crit Care Med, 179, 457, 10.1164/rccm.200705-795OC · DOI · Paper page
- S Raychaudhuri, 2012, Five amino acids in three HLA proteins explain most of the association between MHC and seropositive rheumatoid arthritis, Nat Genet, 44, 291, 10.1038/ng.1076 · DOI · Paper page
- T Hirota, 2011, Genome-wide association study identifies three new susceptibility loci for adult asthma in the Japanese population, Nat Genet, 43, 893, 10.1038/ng.887 · DOI · Paper page
- DG Torgerson, 2011, Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations, Nat Genet, 43, 887, 10.1038/ng.888 · DOI · Paper page
- H Mahdi, 2009, Specific interaction between genotype, smoking and autoimmunity to citrullinated alpha-enolase in the etiology of rheumatoid arthritis, Nat Genet, 41, 1319, 10.1038/ng.480 · DOI · Paper page
- CT Gordon, 2009, Long-range regulation at the SOX9 locus in development and disease, J Med Genet, 46, 649, 10.1136/jmg.2009.068361 · DOI · Paper page
- H Oonuma, 2002, Inward rectifier K(+) current in human bronchial smooth muscle cells: inhibition with antisense oligonucleotides targeted to Kir2.1 mRNA, Am J Respir Cell Mol Biol, 26, 371, 10.1165/ajrcmb.26.3.4542 · doi:10.1165/ajrcmb.26.3.4542
- G Andelfinger, 2002, KCNJ2 mutation results in Andersen syndrome with sex-specific cardiac and skeletal muscle phenotypes, Am J Hum Genet, 71, 663, 10.1086/342360 · DOI · Paper page
- W Bi, 1999, Sox9 is required for cartilage formation, Nat Genet, 22, 85, 10.1038/8792 · DOI · Paper page
- Y Liu, 2002, Differential gene expression in the distal tip endoderm of the embryonic mouse lung, Gene Expr Patterns, 2, 229, 10.1016/S1567-133X(02)00057-1 · DOI
- W Bi, 2001, Haploinsufficiency of Sox9 results in defective cartilage primordia and premature skeletal mineralization, Proc Natl Acad Sci U S A, 98, 6698, 10.1073/pnas.111092198 · DOI · Paper page
- JW Foster, 1994, Campomelic dysplasia and autosomal sex reversal caused by mutations in an SRY-related gene, Nature, 372, 525, 10.1038/372525a0 · DOI · Paper page
- CS Houston, 1983, The campomelic syndrome: review, report of 17 cases, and follow-up on the currently 17-year-old boy first reported by Maroteaux et al in 1971, Am J Med Genet, 15, 3, 10.1002/ajmg.1320150103 · DOI · Paper page
- BM Psaty, 2009, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts, Circ Cardiovasc Genet, 2, 73, 10.1161/CIRCGENETICS.108.829747 · DOI · Paper page
- The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators, Am J Epidemiol, 129, 687, 10.1093/oxfordjournals.aje.a115184 · DOI · Paper page
- DP Strachan, 2007, Lifecourse influences on health among British adults: effects of region of residence in childhood and adulthood, Int J Epidemiol, 36, 522, 10.1093/ije/dyl309 · DOI
- GH Hughes, 1987, Recruitment in the Coronary Artery Disease Risk Development in Young Adults (Cardia) Study, Control Clin Trials, 8, 68S, 10.1016/0197-2456(87)90008-0 · DOI · Paper page
- GD Friedman, 1988, CARDIA: study design, recruitment, and some characteristics of the examined subjects, J Clin Epidemiol, 41, 1105, 10.1016/0895-4356(88)90080-7 · DOI · Paper page
- PG Burney, 1994, The European Community Respiratory Health Survey, Eur Respir J, 7, 954, 10.1183/09031936.94.07050954 · DOI · Paper page
- N Day, 1999, EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer, Br J Cancer, 80, 95
- TR Dawber, 1966, The Framingham study. An epidemiological approach to coronary heart disease, Circulation, 34, 553, 10.1161/01.CIR.34.4.553 · DOI · Paper page
- M Feinleib, 1975, The Framingham Offspring Study. Design and preliminary data, Prev Med, 4, 518, 10.1016/0091-7435(75)90037-7 · DOI · Paper page
- S Yende, 2006, Inflammatory markers are associated with ventilatory limitation and muscle dysfunction in obstructive lung disease in well functioning elderly subjects, Thorax, 61, 10, 10.1136/thx.2004.034181 · DOI · Paper page
- MR Jarvelin, 1993, Labour induction policy in hospitals of different levels of specialisation, Br J Obstet Gynaecol, 100, 310, 10.1111/j.1471-0528.1993.tb12971.x · DOI · Paper page
- P Rantakallio, 1969, Groups at risk in low birth weight infants and perinatal mortality, Acta Paediatr Scand, 193, 191+
- DE Bild, 2002, Multi-ethnic study of atherosclerosis: objectives and design, Am J Epidemiol, 156, 871, 10.1093/aje/kwf113 · DOI · Paper page
- J Rodriguez, 2010, The association of pipe and cigar use with cotinine levels, lung function, and airflow obstruction: a cross-sectional study, Ann Intern Med, 152, 201, 10.7326/0003-4819-152-4-201002160-00004 · DOI
- A Hofman, 2011, The Rotterdam Study: 2012 objectives and design update, Eur J Epidemiol, 26, 657, 10.1007/s10654-011-9610-5 · DOI · Paper page
- BW Martin, 1997, SAPALDIA: methods and participation in the cross-sectional part of the Swiss Study on Air Pollution and Lung Diseases in Adults, Soz Praventivmed, 42, 67, 10.1007/BF01318136 · DOI · Paper page
- H Volzke, 2011, Cohort profile: the study of health in Pomerania, Int J Epidemiol, 40, 294, 10.1093/ije/dyp394 · DOI · Paper page
- AK Shahani, 1970, A Saturated Experiment in Sequential Determination of Operating Conditions, Journal of the Royal Statistical Society Series D (The Statistician), 19, 403
- C Kooperberg, 2008, Increasing the power of identifying gene x gene interactions in genome-wide association studies, Genet Epidemiol, 32, 255, 10.1002/gepi.20300 · DOI · Paper page
- CE Murcray, 2011, Sample size requirements to detect gene-environment interactions in genome-wide association studies, Genet Epidemiol, 35, 201, 10.1002/gepi.20569 · DOI
- CE Murcray, 2009, Gene-environment interaction in genome-wide association studies, Am J Epidemiol, 169, 219, 10.1093/aje/kwn353 · DOI · Paper page
- WJ Gauderman, 2010, Efficient genome-wide association testing of gene-environment interaction in case-parent trios, Am J Epidemiol, 172, 116, 10.1093/aje/kwq097 · DOI
- I Pe'er, 2008, Estimation of the multiple testing burden for genomewide association studies of nearly all common variants, Genet Epidemiol, 32, 381, 10.1002/gepi.20303 · DOI · Paper page
- AD Johnson, 2008, SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap, Bioinformatics, 24, 2938, 10.1093/bioinformatics/btn564 · DOI · Paper page
- SJ Wadsworth, 2006, Glucocorticoids increase repair potential in a novel in vitro human airway epithelial wounding model, J Clin Immunol, 26, 376, 10.1007/s10875-006-9029-z · doi:10.1007/s10875-006-9029-z
- I Sayers, 2006, The effect of beta2-adrenoceptor agonists on phospholipase C (beta1) signalling in human airway smooth muscle cells, Eur J Pharmacol, 531, 9, 10.1016/j.ejphar.2005.11.026 · doi:10.1016/j.ejphar.2005.11.026
Cited by
COPDGene Investigators, Hobbs, B. D., ECLIPSE Investigators, LifeLines Investigators, SPIROMICS Research Group, International COPD Genetics Network Investigators, UK BiLEVE Investigators, International COPD Genetics Consortium, de Jong, K., Lamontagne, M., et al. (2017) · Nature Genetics · doi:10.1038/ng.3752 · Cited by 398
Self-citationCho, M. H., McDonald, M.-L. N., Zhou, X., Mattheisen, M., Castaldi, P. J., Hersh, C. P., DeMeo, D. L., Sylvia, J. S., Ziniti, J., Laird, N. M., et al. (2014) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(14)70002-5 · Cited by 347
Self-citationGenetic Determinants of Depression: Recent Findings and Future Directions
Dunn, E. C., Brown, R. C., Dai, Y., Rosand, J., Nugent, N. R., Amstadter, A. B., & Smoller, J. W. (2015) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000054 · Cited by 158
Functional implications of Neandertal introgression in modern humans
Dannemann, M., Prüfer, K., & Kelso, J. (2017) · Genome biology · doi:10.1186/s13059-017-1181-7 · Cited by 92
Levy, J. I., Quirós-Alcalá, L., Fabian, M. P., Basra, K., & Hansel, N. N. (2018) · Current Epidemiology Reports · doi:10.1007/s40471-018-0149-9 · Cited by 31
Metadata
- Authors
- Hancock, D. B., Artigas, M. S., Gharib, S. A., Henry, A., Manichaikul, A., Ramasamy, A., Loth, D. W., Imboden, M., Koch, B., McArdle, W. L., Smith, A. V., Smolonska, J., Sood, A., Tang, W., Wilk, J. B., Zhai, G., Zhao, J. H., Aschard, H., Burkart, K. M., Curjuric, I., Eijgelsheim, M., Elliott, P., Gu, X., Harris, T. B., Janson, C., Homuth, G., Hysi, P. G., Liu, J. Z., Loehr, L. R., Lohman, K., Loos, R. J. F., Manning, A. K., Marciante, K. D., Obeidat, M., Postma, D. S., Aldrich, M. C., Brusselle, G. G., Chen, T.-H., Eiriksdottir, G., Franceschini, N., Heinrich, J., Rotter, J. I., Wijmenga, C., Williams, O. D., Bentley, A. R., Hofman, A., Laurie, C. C., Lumley, T., Morrison, A. C., Joubert, B. R., Rivadeneira, F., Couper, D. J., Kritchevsky, S. B., Liu, Y., Wjst, M., Wain, L. V., Vonk, J. M., Uitterlinden, A. G., Rochat, T., Rich, S. S., Psaty, B. M., O'Connor, G. T., North, K. E., Mirel, D. B., Meibohm, B., Launer, L. J., Khaw, K.-T., Hartikainen, A.-L., Hammond, C. J., Gläser, S., Marchini, J., Kraft, P., Wareham, N. J., Völzke, H., Stricker, B. H. C., Spector, T. D., Probst-Hensch, N. M., Jarvis, D., Jarvelin, M.-R., Heckbert, S. R., Gudnason, V., Boezen, H. M., Barr, R. G., Cassano, P. A., Strachan, D. P., Fornage, M., Hall, I. P., Dupuis, J., Tobin, M. D., & London, S. J.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-12-20
- Volume
- 8
- Issue
- 12
- Pages
- e1003098
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W2104443125
- Cited by
- 166
- References
- 11
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Genome-Wide Joint Meta-Analysis of SNP and SNP-by-Smoking Interaction Identifies Novel Loci for Pulmonary Function. https://app.cochat.ai/papers/10.1371/journal.pgen.1003098
- The paper
- Hancock, D. B., Artigas, M. S., Gharib, S. A., Henry, A., Manichaikul, A., Ramasamy, A., Loth, D. W., Imboden, M., Koch, B., McArdle, W. L., Smith, A. V., Smolonska, J., Sood, A., Tang, W., Wilk, J. B., Zhai, G., Zhao, J. H., Aschard, H., Burkart, K. M., . . . London, S. J. (2012). Genome-Wide Joint Meta-Analysis of SNP and SNP-by-Smoking Interaction Identifies Novel Loci for Pulmonary Function. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1003098
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.