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Showing results 1 to 20 of 37  next >
Issue DateTitleAuthor(s)
1-Jan-2013A Comparison of Non-Intrusive SNR Estimation Algorithms and the Use of Mapping FunctionsEaton, D; Brookes, DM; Naylor, PA; , et al
1-Dec-2018A 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 StudyGibson, R; Frost, G; Chan, Q; Elliott, P; Singh, D, et al
26-Apr-2016A Data-Driven Non-intrusive Measure of Speech Quality and IntelligibilitySharma, D; Naylor, PA; Wang, Y; Brookes, DM;
15-Feb-2018A large-scale multi-ancestry genome-wide study accounting for smoking bahavior identifies multiple genome-wide significant loci for systolic and diastolic blood pressureSung, YJ; Lehne, B; Scott, WR; Sever, P; Chambers, J, et al
26-Apr-2016A novel method for power analysis and sample size determination in metabolic phenotypingBlaise, B; Correia, G; Tin, A; Young, J; Vergnaud, A, et al
3-Jan-2019Associations of mitochondrial and nuclear mitochondrial variants and genes with seven metabolic traitsKraja, AT; Liu, C; Fetterman, JL; Graff, M; Have, CT, et al
1-Apr-2017Dietary 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-2022Differential and shared genetic effects on kidney function between diabetic and non-diabetic individualsWinkler, TW; Rasheed, H; Teumer, A; Gorski, M; Rowan, BX, et al
Dec-2020Discovery of rare variants associated with blood pressure regulation trhough meta-analaysis of 1.3 million individualsSurendran, P; Gao, H; Zhang, W; Evangelou, E; Poulter, N, et al
30-Jun-2021Effect of ultraprocessed food intake on cardiometabolic risk is mediated by diet quality: a cross-sectional studyGriffin, J; Albaloul, AH; Kopytek, A; Elliott, P; Frost, G, et al
14-May-2021Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumptionKarabegović, I; Dehghan, A; Elliott, P; Vineis, P; Ghanbari, M, et al
12-Apr-2022Finding 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-2019Gene-diet quality interactions on HbA1c and type 2 diabetes risk: The Airwave Health Monitoring StudyEriksen, R; Gibson, R; Aresu, M; Heard, A; Chan, Q, et al
17-Sep-2018Genetic analysis of over one million people identifies 535 new loci associated with blood pressure traitsEvangelou, E; Warren, HR; Mosen-Ansorena, D; Mifsud, B; Pazoki, R, et al
29-Jun-2021Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of agingMcCartney, DL; Min, JL; Richmond, RC; Lu, AT; Sobczyk, MK, et al
3-Nov-2021Higher thyrotropin leads to unfavorable lipid profile and somewhat higher cardiovascular disease risk: evidence from multi-cohort Mendelian randomization and metabolomic profilingVan Vliet, NA; Bos, MM; Thesing, CS; Chaker, L; Pietzner, M, et al
8-Aug-2019Intakes 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 StudyGibson, R; Eriksen, R; Chambers, E; Gao, H; Aresu, M, et al
1-Oct-2019Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic lociErzurumluoglu, AM; Chambers, JC; Elliott, P; Evangelou, E; Kooner, JS, et al
Jun-2019Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactionsDe Vries, PS; Brown, MR; Bentley, AR; Sung, YJ; Winkler, TW, et al
1-Apr-2019Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipidsBentley, AR; Sung, YJ; Brown, MR; Winkler, TW; Kraja, AT, et al