Publications

Publications from scientific journals that have resulted or benefited from data or samples collected by the Airwave Study.

  1. O’Farrell, F., Aleyakpo, B., Mustafa, R., et al. Evidence for involvement of the alcohol consumption WDPCP gene in lipid metabolism, and liver cirrhosis.. Sci Rep 13, 20616. (2023) https://pubmed.ncbi.nlm.nih.gov/37996473/

  2. Aljuraiban GS, et al. Lifestyle Score and Risk of Hypertension in the Airwave Health Monitoring Study of British Police Force Employees. Int J Environ Res Public Health. 2023 Feb 24;20(5):4029. (2023) https://pubmed.ncbi.nlm.nih.gov/36901040/

  3. Yu B, et al. Primary Care Consultations Among UK Police Officers and Staff: Links With Adverse Mental Health and Job Strain. J Occup Environ Med. 2023 Jun 1;65(6):502-509. (2023) https://pubmed.ncbi.nlm.nih.gov/36843096/

  4. Kojouri, M., et al. Metabolome-wide association study on physical activity. Sci Rep 13, 2374. (2023) https://pubmed.ncbi.nlm.nih.gov/36759570/

  5. Stebbing, J., et al. Comparison of phenomics and cfDNA in a large breast screening population: the Breast Screening and Monitoring Study (BSMS). Oncogene 42, 825–832. (2023) https://pubmed.ncbi.nlm.nih.gov/36693953/

  6. Garcia-Segura, M. E., et al. Pathway-based integration of multi-omics data reveals lipidomics alterations validated in an Alzheimer´s Disease mouse model and risk loci carriers. Journal of Neurochemistry, 164, 57– 76. (2022) https://pubmed.ncbi.nlm.nih.gov/36326588/

  7. Dehghan, A., et al. Metabolome-wide association study on ABCA7 indicates a role of ceramide metabolism in Alzheimer's disease. PNAS Vol 119 (43) e2206083119. (2022) https://pubmed.ncbi.nlm.nih.gov/36269859/

  8. Irizar, P, et al. A comparison of probable post-traumatic stress disorder and alcohol consumption among active female members of the UK Police Service and UK Armed Forces. Soc Psychiatry Psychiatr Epidemiol. 2022 Sep 7. Epub ahead of print. PMID: 36071141. (2022) https://pubmed.ncbi.nlm.nih.gov/36071141/

  9. Irizar, P, et al. A latent class analysis of health risk behaviours in the UK Police Service and their associations with mental health and job strain. BMC Psychiatry. 2022 Jun 24;22(1):426. (2022) https://pubmed.ncbi.nlm.nih.gov/35751116/

  10. Wielscher, M., et al. DNA methylation signature of chronic low-grade inflammation and its role in cardio-respiratory diseases. Nature Comms, 13(1), 2408. (2022) https://pubmed.ncbi.nlm.nih.gov/35504910/

  11. Khan, M., et al. Simple, sensitive, specific self-sampling assay secures SARS-CoV-2 antibody signals in sero-prevalence and post-vaccine studies. Scientific Reports, 12(1):1885. (2022) https://pubmed.ncbi.nlm.nih.gov/35115570/

  12. Rosadas, C., et al. Detection and quantification of antibody to SARS CoV 2 receptor binding domain provides enhanced sensitivity, specificity and utility. J Virol Methods.; 302:114475. (2022) https://pubmed.ncbi.nlm.nih.gov/35077719/

  13. Davies, B., et al. Acceptability, Usability, and Performance of Lateral Flow Immunoassay Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Antibodies: REACT-2 Study of Self-Testing in Non-healthcare Key Workers.. Open Forum Infectious Diseases, Volume 8, Issue 11, November 2021. (2021) https://pubmed.ncbi.nlm.nih.gov/34796246/

  14. van Vliet, N. A., et al. Higher thyrotropin leads to unfavorable lipid profile and somewhat higher cardiovascular disease risk: evidence from multi-cohort Mendelian randomization and metabolomic profiling. BMC Medicine, 19(1), 266. (2021) https://pubmed.ncbi.nlm.nih.gov/34727949/

  15. Irizar, P, et al. The prevalence of hazardous and harmful drinking in the UK Police Service, and their co-occurrence with job strain and mental health problems. Epidemiol Psychiatr Sci. 2021 Jun 21;30:e51. (2021) https://pubmed.ncbi.nlm.nih.gov/34402422/

  16. Griffin J, et al. Effect of ultraprocessed food intake on cardiometabolic risk is mediated by diet quality: a cross-sectional study. BMJ Nutr Prev Health. 2021 Apr 7;4(1):174-180. (2021) https://pubmed.ncbi.nlm.nih.gov/34308125/

  17. McCartney, D. L., et al. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biol, 22(1): 194. (2021) https://pubmed.ncbi.nlm.nih.gov/34187551/

  18. Yang JJ, et al. Circulating trimethylamine N-oxide in association with diet and cardiometabolic biomarkers: an international pooled analysis. Am J Clin Nutr. 2021 May 8;113(5):1145-1156. (2021) https://pubmed.ncbi.nlm.nih.gov/34020444/

  19. Pazoki R, et al. Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes. Nat Commun. 2021 May 10;12(1):2579. (2021) https://pubmed.ncbi.nlm.nih.gov/33972514/

  20. Irizar, P, et al. Probable post-traumatic stress disorder and harmful alcohol use among male members of the British Police Forces and the British Armed Forces: a comparative study. Eur J Psychotraumatol 12, 1891734. (2021) https://pubmed.ncbi.nlm.nih.gov/33968324/

  21. Moshe M, et al. SARS-CoV-2 lateral flow assays for possible use in covid-19 seroprevalence surveys (REACT 2): diagnostic accuracy study. Br Med J, 37:n423. (2021) https://pubmed.ncbi.nlm.nih.gov/33653694/

  22. Stevelink, S. A. M., et al. Probable PTSD, depression and anxiety in 40,299 UK police officers and staff: Prevalence, risk factors and associations with blood pressure. PLoS One 15, e0240902. (2020) https://pubmed.ncbi.nlm.nih.gov/33180769/

  23. Chen MH, et al. Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. Cell. Sep 3;182(5):1198-1213.e14 (2020). (2020) https://pubmed.ncbi.nlm.nih.gov/32888493/

  24. de Las Fuentes, L., et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021 Jun;26(6):2111-2125. (2020) https://pubmed.ncbi.nlm.nih.gov/32372009/

  25. Robinson, O., et al. Determinants of accelerated metabolomic and epigenetic aging in a UK cohort. Aging Cell 19, e13149. (2020) https://pubmed.ncbi.nlm.nih.gov/32363781/

  26. Hunt, L. C., et al. Quantifying Diet Intake and Its Association with Cardiometabolic Risk in the UK Airwave Health Monitoring Study: A Data-Driven Approach. Nutrients. 2020 Apr 22;12(4):1170. (2020) https://pubmed.ncbi.nlm.nih.gov/32331378/

  27. Bauermeister S, et al. The Dementias Platform UK (DPUK Data Portal). Eur J Epidemiol. Apr 23.. (2020) https://pubmed.ncbi.nlm.nih.gov/32328990/

  28. Pazoki R, et al. GWAS for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits. Nat Commun. 2019 Aug 13;10(1):3653. (2019) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692500/

  29. Noordam R, et al. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration. Nat Commun. Nov 12; 10(1):5121. (2019) https://pubmed.ncbi.nlm.nih.gov/31719535/

  30. Clark, D. W., et al. Associations of autozygosity with a broad range of human phenotypes. Nat Commun 10, 4957. (2019) https://pubmed.ncbi.nlm.nih.gov/31673082/

  31. Eriksen, R., et al. Gene-diet quality interactions on haemoglobin A1c and type 2 diabetes risk: The Airwave Health Monitoring Study.. Endocrinol Diabetes Metab 2, e00074. (2019) https://pubmed.ncbi.nlm.nih.gov/31592155/

  32. Gibson, R., et al. 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):1839. (2019) https://pubmed.ncbi.nlm.nih.gov/31398891/

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

  34. Yu B, et al. The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies. Am J Epidemiol. Jun 1;188(6):991-1012. (2019) https://pubmed.ncbi.nlm.nih.gov/31155658/

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

  36. 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. 2019 Aug 1;28(15):2615-2633. (2019) https://pubmed.ncbi.nlm.nih.gov/31127295/

  37. 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. (2019) https://www.ncbi.nlm.nih.gov/pubmed/31125718/

  38. 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. (2019) https://www.ncbi.nlm.nih.gov/pubmed/30926973/

  39. Kilpeläinen TO, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nat Commun. Jan 22;10(1):376. (2019) https://pubmed.ncbi.nlm.nih.gov/30670697/

  40. Erzurumluoglu AM, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol Psychiatry 25, 2392–2409 (2020). (2019) https://pubmed.ncbi.nlm.nih.gov/30617275/

  41. 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. (2019) https://www.ncbi.nlm.nih.gov/pubmed/30595373/

  42. 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. (2019) https://www.ncbi.nlm.nih.gov/pubmed/30585256/

  43. O. Robinson, et al. Metabolomic aging and its association with depression in a UK cohort. Revue d'Épidémiologie et de Santé Publique, Volume 66, Supplement 5. (2018) https://www.sciencedirect.com/science/article/abs/pii/S0398762018308228/

  44. Evangelou, E., et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018 Oct;50(10):1412-1425. (2018) https://pubmed.ncbi.nlm.nih.gov/30224653/

  45. 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. (2018) https://www.ncbi.nlm.nih.gov/pubmed/30014898/

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

  47. 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. 2018 Mar 1;102(3):375-400. (2018) https://pubmed.ncbi.nlm.nih.gov/29455858/

  48. 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. (2018) https://www.ncbi.nlm.nih.gov/pubmed/29455679/

  49. 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. (2018) https://www.ncbi.nlm.nih.gov/pubmed/29273807/

  50. 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. (2018) https://www.ncbi.nlm.nih.gov/pubmed/29098424/

  51. 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. 2017 Sep;70(3):e4-e19. (2017) https://pubmed.ncbi.nlm.nih.gov/28739976/

  52. 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. (2017) https://www.ncbi.nlm.nih.gov/pubmed/28377391/

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

  54. 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. (2017) https://www.ncbi.nlm.nih.gov/pubmed/28135244/

  55. Gibson, R., et al. 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. (2016) https://www.cambridge.org/core/journals/proceedings-of-the-nutrition-society/article/sex-differences-in-the-relationship-between-work-patterns-and-diet-in-british-police-force-employees-a-nested-crosssectional-study/C3995C962F118C27C100B786CCFA2111/

  56. 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. (2016) https://www.ncbi.nlm.nih.gov/pubmed/27911795/

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

  58. 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. (2016) https://www.ncbi.nlm.nih.gov/pubmed/27479709/

  59. 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. (2016) https://www.ncbi.nlm.nih.gov/pubmed/27419367/

  60. 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. (2016) https://www.ncbi.nlm.nih.gov/pubmed/27346689/

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

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

  63. 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. (2016) https://www.ncbi.nlm.nih.gov/pubmed/27131074/

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

  65. 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. (2016) https://www.ncbi.nlm.nih.gov/pubmed/27036123/

  66. Epstein, S., et al. Numerical assessment of the stiffness index.. Conf Proc IEEE Eng Med Biol Soc 2014: 1969-1972. (2014) https://pubmed.ncbi.nlm.nih.gov/25570367/

  67. 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. (2014) https://www.ncbi.nlm.nih.gov/pubmed/25194498/

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Monday, October 16, 2023 - 12:31