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| Issue Date | Title | Author(s) |
| 1-Jan-2013 | A Comparison of Non-Intrusive SNR Estimation Algorithms and the Use of Mapping Functions | Eaton, D; Brookes, DM; Naylor, PA; , et al |
| 1-Dec-2018 | 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 | Gibson, R; Frost, G; Chan, Q; Elliott, P; Singh, D, et al |
| 26-Apr-2016 | A Data-Driven Non-intrusive Measure of Speech Quality and Intelligibility | Sharma, D; Naylor, PA; Wang, Y; Brookes, DM; |
| 15-Feb-2018 | A large-scale multi-ancestry genome-wide study accounting for smoking bahavior identifies multiple genome-wide significant loci for systolic and diastolic blood pressure | Sung, YJ; Lehne, B; Scott, WR; Sever, P; Chambers, J, et al |
| 26-Apr-2016 | A novel method for power analysis and sample size determination in metabolic phenotyping | Blaise, B; Correia, G; Tin, A; Young, J; Vergnaud, A, et al |
| 3-Jan-2019 | Associations of mitochondrial and nuclear mitochondrial variants and genes with seven metabolic traits | Kraja, AT; Liu, C; Fetterman, JL; Graff, M; Have, CT, et al |
| 1-Apr-2017 | 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) | Gibson, R; Eriksen, R; Lamb, K; Mcmeel, Y; Vergnaud, A, et al |
| 13-Jun-2022 | Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals | Winkler, TW; Rasheed, H; Teumer, A; Gorski, M; Rowan, BX, et al |
| Dec-2020 | Discovery of rare variants associated with blood pressure regulation trhough meta-analaysis of 1.3 million individuals | Surendran, P; Gao, H; Zhang, W; Evangelou, E; Poulter, N, et al |
| 30-Jun-2021 | Effect of ultraprocessed food intake on cardiometabolic risk is mediated by diet quality: a cross-sectional study | Griffin, J; Albaloul, AH; Kopytek, A; Elliott, P; Frost, G, et al |
| 14-May-2021 | Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption | Karabegović, I; Dehghan, A; Elliott, P; Vineis, P; Ghanbari, M, et al |
| 12-Apr-2022 | Finding correspondence between metabolomic features in untargeted liquid chromatography-mass spectrometry metabolomics datasets. | Climaco Pinto, R; Karaman, I; Lewis, MR; Hällqvist, J; Kaluarachchi, M, et al |
| Oct-2019 | Gene-diet quality interactions on HbA1c and type 2 diabetes risk: The Airwave Health Monitoring Study | Eriksen, R; Gibson, R; Aresu, M; Heard, A; Chan, Q, et al |
| 17-Sep-2018 | Genetic analysis of over one million people identifies 535 new loci associated with blood pressure traits | Evangelou, E; Warren, HR; Mosen-Ansorena, D; Mifsud, B; Pazoki, R, et al |
| 29-Jun-2021 | Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging | McCartney, DL; Min, JL; Richmond, RC; Lu, AT; Sobczyk, MK, et al |
| 3-Nov-2021 | Higher thyrotropin leads to unfavorable lipid profile and somewhat higher cardiovascular disease risk: evidence from multi-cohort Mendelian randomization and metabolomic profiling | Van Vliet, NA; Bos, MM; Thesing, CS; Chaker, L; Pietzner, M, et al |
| 8-Aug-2019 | 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 | Gibson, R; Eriksen, R; Chambers, E; Gao, H; Aresu, M, et al |
| 1-Oct-2019 | Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci | Erzurumluoglu, AM; Chambers, JC; Elliott, P; Evangelou, E; Kooner, JS, et al |
| Jun-2019 | Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions | De Vries, PS; Brown, MR; Bentley, AR; Sung, YJ; Winkler, TW, et al |
| 1-Apr-2019 | Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids | Bentley, AR; Sung, YJ; Brown, MR; Winkler, TW; Kraja, AT, et al |