Publications

Airwave Study Publications

These are the publications in scientific journals which have resulted or benefited from the data or samples collected by the Airwave Study.

  • Gibson R, Eriksen R, Chambers E, Gao H, Aresu M, Heard A, Chan Q, Elliott P, Frost G Intakes and Food Sources of Dietary Fibre and Their Associations with Measures of Body Composition and Inflammation in UK Adults: Cross-Sectional Analysis of the Airwave Health Monitoring Study. Nutrients. 2019 Aug 8;11(8). pii: E1839, doi:10.3390/nu11081839 (2019). https://www.ncbi.nlm.nih.gov/pubmed/31398891

  • Evangelou, E. et al. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nat Hum Behav, 2019 Jul 29. doi:10.1038/s41562-019-0653-z (2019). https://www.ncbi.nlm.nih.gov/pubmed/31358974

  • Sung, Y. J. et al. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum Mol Genet, doi:10.1093/hmg/ddz070 (2019). https://www.ncbi.nlm.nih.gov/pubmed/31127295

  • Kraja, A. T. et al. Associations of Mitochondrial and Nuclear Mitochondrial Variants and Genes with Seven Metabolic Traits. Am J Hum Genet 104, 112-138, doi:10.1016/j.ajhg.2018.12.001 (2019). https://www.ncbi.nlm.nih.gov/pubmed/30595373

  • Eriksen R, Gibson R, Aresu M, Gary Frost et al. Gene‐diet quality interactions on haemoglobin A1c and type 2 diabetes risk: The Airwave Health Monitoring Study. Wiley Online Library, 11 July 2019, https://doi.org/10.1002/edm2.74

  • Wuttke, M. et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet 51, 957-972, doi:10.1038/s41588-019-0407-x (2019). https://www.ncbi.nlm.nih.gov/pubmed/31152163

  • Elliott, P. et al. Use of TETRA personal radios and sickness absence in the Airwave Health Monitoring Study of the British police forces. Environ Res 175, 148-155, doi:10.1016/j.envres.2019.05.012 (2019). https://www.ncbi.nlm.nih.gov/pubmed/31125718

  • Bentley, A. R. et al. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat Genet 51, 636-648, doi:10.1038/s41588-019-0378-y (2019).https://www.ncbi.nlm.nih.gov/pubmed/30926973

  • Gao, H. et al. Personal radio use and cancer risks among 48,518 British police officers and staff from the Airwave Health Monitoring Study. Br J Cancer 120, 375-378, doi:10.1038/s41416-018-0365-6 (2019). https://www.ncbi.nlm.nih.gov/pubmed/30585256 

  • Vergnaud, A. C. et al. Estimation of TETRA radio use in the Airwave Health Monitoring Study of the British police forces. Environ Res 167, 169-174, doi:10.1016/j.envres.2018.07.015 (2018). https://www.ncbi.nlm.nih.gov/pubmed/30014898 

  • Turcot, V. et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet 50, 26-41, doi:10.1038/s41588-017-0011-x (2018). https://www.ncbi.nlm.nih.gov/pubmed/29273807

  • Sung, Y. J. et al. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet, doi:10.1016/j.ajhg.2018.01.015 (2018). https://www.ncbi.nlm.nih.gov/pubmed/29455858

  • Gibson, R. et al. A cross-sectional investigation into the occupational and socio-demographic characteristics of British police force employees reporting a dietary pattern associated with cardiometabolic risk: findings from the Airwave Health Monitoring Study. Eur J Nutr 57, 2913-2926, doi:10.1007/s00394-017-1562-4 (2018). https://www.ncbi.nlm.nih.gov/pubmed/29098424

  • Evangelou, E. et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet, doi:10.1038/s41588-018-0205-x (2018). https://www.ncbi.nlm.nih.gov/pubmed/30224653

  • Eriksen, R. et al. Nutrient profiling and adherence to components of the UK national dietary guidelines association with metabolic risk factors for CVD and diabetes: Airwave Health Monitoring Study. Br J Nutr 119, 695-705, doi:10.1017/S0007114518000016 (2018). https://www.ncbi.nlm.nih.gov/pubmed/29455679

  • Davies, G. et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat Commun 9, 2098, doi:10.1038/s41467-018-04362-x (2018). https://www.ncbi.nlm.nih.gov/pubmed/29844566

  • Warren, H. R. et al. Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat Genet 49, 403-415, doi:10.1038/ng.3768 (2017). https://www.ncbi.nlm.nih.gov/pubmed/28135244

  • Wain, L. V. et al. Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. Hypertension, doi:10.1161/HYPERTENSIONAHA.117.09438 (2017). https://www.ncbi.nlm.nih.gov/pubmed/28739976

  • Marouli, E. et al. Rare and low-frequency coding variants alter human adult height. Nature 542, 186-190, doi:10.1038/nature21039 (2017). https://www.ncbi.nlm.nih.gov/pubmed/28146470 

  • Gibson, R. et al. Dietary assessment of British police force employees: a description of diet record coding procedures and cross-sectional evaluation of dietary energy intake reporting (The Airwave Health Monitoring Study). BMJ Open 7, e012927, doi:10.1136/bmjopen-2016-012927 (2017). https://www.ncbi.nlm.nih.gov/pubmed/28377391 

  • Vergnaud, A. C. et al. Validation of objective records and misreporting of personal radio use in a cohort of British Police forces (the Airwave Health Monitoring Study). Environ Res 148, 367-375, doi:10.1016/j.envres.2016.04.018 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27131074

  • van Leeuwen, E. M. et al. Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels. J Med Genet 53, 441-449, doi:10.1136/jmedgenet-2015-103439 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27036123 

  • Tajuddin, S. M. et al. Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases. Am J Hum Genet 99, 22-39, doi:10.1016/j.ajhg.2016.05.003 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27346689

  • Surendran, P. et al. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet 48, 1151-1161, doi:10.1038/ng.3654 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27618447 

  • Schumann, G. et al. KLB is associated with alcohol drinking, and its gene product beta-Klotho is necessary for FGF21 regulation of alcohol preference. Proc Natl Acad Sci U S A 113, 14372-14377, doi:10.1073/pnas.1611243113 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27911795 

  • Lewis, M. R. et al. Development and Application of Ultra-Performance Liquid Chromatography-TOF MS for Precision Large Scale Urinary Metabolic Phenotyping. Anal Chem 88, 9004-9013, doi:10.1021/acs.analchem.6b01481 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27479709

  • Eicher, J. D. et al. Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals. Am J Hum Genet 99, 40-55, doi:10.1016/j.ajhg.2016.05.005 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27346686

  • Chami, N. et al. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits. Am J Hum Genet 99, 8-21, doi:10.1016/j.ajhg.2016.05.007 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27346685 

  • Burgess, A. P. et al. Acute Exposure to Terrestrial Trunked Radio (TETRA) has effects on the electroencephalogram and electrocardiogram, consistent with vagal nerve stimulation. Environ Res 150, 461-469, doi:10.1016/j.envres.2016.06.031 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27419367  

  • Blaise, B. J. et al. Power Analysis and Sample Size Determination in Metabolic Phenotyping. Anal Chem 88, 5179-5188, doi:10.1021/acs.analchem.6b00188 (2016). https://www.ncbi.nlm.nih.gov/pubmed/27116637

  • Elliott, P. et al. The Airwave Health Monitoring Study of police officers and staff in Great Britain: rationale, design and methods. Environ Res 134, 280-285, doi:10.1016/j.envres.2014.07.025 (2014). https://www.ncbi.nlm.nih.gov/pubmed/25194498 

​​

Proceedings from Conferences

  • Gibson, R., et al. (2016). Sex differences in the relationship between work patterns and diet in British police force employees: a nested cross-sectional study. Proceedings of the Nutrition Society 75(Oce1): E20-E20.

 

  • Epstein, S., et al. (2014). Numerical assessment of the stiffness index. Conf Proc IEEE Eng Med Biol Soc 2014: 1969-1972.