The value of neck adipose tissue as a predictor for metabolic risk in health and type 2 diabetes

Preprint: MRI assessment of adipose tissue fatty acid composition in the UK Biobank and its association with diet and disease
Marjola Thanaj, Nicolas Basty, Brandon Whitcher, Jimmy D. Bell and E. Louise Thomas 2024. Preprint: MRI assessment of adipose tissue fatty acid composition in the UK Biobank and its association with diet and disease. medRxiv. https://doi.org/10.1101/2024.03.27.24304957

Genetic evidence for distinct biological mechanisms that link adiposity to type 2 diabetes: towards precision medicine
Abraham, Angela, Cule, M., Thanaj, M., Basty, N., Hashemloo, M.A., Sorokin, E., Whitcher, B., Burgess, S., Bell, J.D., Sattar, N., Thomas, E.L. and Yaghootkar, H. 2024. Genetic evidence for distinct biological mechanisms that link adiposity to type 2 diabetes: towards precision medicine. Diabetes. Advanced online publication. https://doi.org/10.2337/db23-1005

Precision MRI phenotyping of muscle volume and quality at a population scale
Thanaj, M., Basty, N., Whitcher, B., Sorokin, E., Liu, Y., Srinivasan, R., Cule, M., Thomas, E.L. and Bell, J.D. 2024. Precision MRI phenotyping of muscle volume and quality at a population scale. Frontiers in Physiology. 15 1288657. https://doi.org/10.3389/fphys.2024.1288657

Liver Shape Analysis using Statistical Parametric Maps at Population Scale
Thanaj, M., Basty, N., Cule, M., Sorokin, E., Whitcher, B., Bell, J.D. and Thomas, E.L. 2024. Liver Shape Analysis using Statistical Parametric Maps at Population Scale. BMC Medical Imaging. 24 15. https://doi.org/10.1186/s12880-023-01149-5

Kidney Shape Statistical Analysis: Associations with Disease and Anthropometric Factors
Thanaj, M., Basty, N., Cule, M., Sorokin, E., Whitcher, B., Srinivasan, R., Lennon, R., Bell, J.D. and Thomas, E.L. 2023. Kidney Shape Statistical Analysis: Associations with Disease and Anthropometric Factors. BMC Nephrology. 24 362. https://doi.org/10.1186/s12882-023-03407-8

Preprint: Kidney Shape Statistical Analysis: Associations with Disease and Anthropometric Factors
Thanaj, M., Basty, N., Cule, M., Sorokin, E., Whitcher, B., Srinivasan, R., Lennon, R., Bell, J.D. and Thomas, E.L. 2023. Preprint: Kidney Shape Statistical Analysis: Associations with Disease and Anthropometric Factors. medRxiv. https://doi.org/10.1101/2023.06.26.23291901

Abdominal imaging associates body composition with COVID-19 severity
Basty, N., Sorokin, E., Thanaj, M., Srinivasan, R., Whitcher, B., Bell, J.D., Cule, M. and Thomas, E.L. 2023. Abdominal imaging associates body composition with COVID-19 severity. PLoS ONE. 18 (4) e0283506. https://doi.org/10.1371/journal.pone.0283506

Preprint: Precision MRI phenotyping of muscle volume and quality at a population scale
Marjola Thanaj, Nicolas Basty, Brandon Whitcher, Elena P. Sorokin, Yi Liu, Ramprakash Srinivasan, Madeleine Cule, E. Louise Thomas and Jimmy D. Bell 2023. Preprint: Precision MRI phenotyping of muscle volume and quality at a population scale. medRxiv. https://doi.org/10.1101/2023.03.02.23286689

Preprint: Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architecture
Nicolas Basty, Elena P. Sorokin, Marjola Thanaj, Brandon Whitcher, Yi Liu, Jimmy D. Bell, E. Louise Thomas and Madeleine Cule 2023. Preprint: Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architecture. medRxiv. https://doi.org/10.1101/2022.08.02.22278060

Artifact-Free Fat-Water Separation in Dixon MRI using Deep Learning
Basty, N., Thanaj, M., Cule, M., Sorokin, E., Liu, Y., Thomas, E.L., Bell, J.D. and Whitcher, B. 2023. Artifact-Free Fat-Water Separation in Dixon MRI using Deep Learning. Journal of Big Data. 10 4. https://doi.org/10.1186/s40537-022-00677-1

Preprint: Liver Shape Analysis using Statistical Parametric Maps at Population Scale
Thanaj, M., Basty, N., Cule, M., Sorokin, E.P., Whitcher, B., Bell, J.D. and Thomas, E.L. 2023. Preprint: Liver Shape Analysis using Statistical Parametric Maps at Population Scale. medRxiv. https://doi.org/10.1101/2022.08.18.22278951

Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling
Asaturyan, A.H., Basty, N., Thanaj, M., Whitcher, B., Thomas, E.L. and Bell, J.D. 2022. Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling. PLoS ONE. 17 (9) e0273171. https://doi.org/10.1371/journal.pone.0273171

Analysis of MRI-derived spleen iron in the UK Biobank identifies genetic variation linked to iron homeostasis and hemolysis
Sorokin, E., Basty, N., Whitcher, B., Liu, Y., Bell, J.D., Cohen, R.L., Cule, M. and Thomas, E.L. 2022. Analysis of MRI-derived spleen iron in the UK Biobank identifies genetic variation linked to iron homeostasis and hemolysis. American Journal of Human Genetics. 109 (6), pp. P1092-1104. https://doi.org/10.1016/j.ajhg.2022.04.013

Precision MRI Phenotyping Enables Detection of Small Changes in Body Composition for Longitudinal Cohorts
Whitcher, B., Thanaj, M., Cule, M., Liu, Y., Basty, N., Sorokin, E., Bell, J.D. and Thomas, E.L. 2022. Precision MRI Phenotyping Enables Detection of Small Changes in Body Composition for Longitudinal Cohorts. Scientific Reports. 12 3748. https://doi.org/10.1038/s41598-022-07556-y

Preprint: Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks
Basty, Nicolas, Thanaj, Marjola, Cule, Madeleine, Sorokin, Elena, Liu, Yi, Bell, Jimmy D., Thomas, E. Louise and Whitcher, Brandon 2021. Preprint: Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks. arXiv. https://doi.org/10.48550/arXiv.2107.14175

Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes
Thanaj, M., Basty, N., Liu, Y., Cule, M., Sorokin, E., Thomas, E.L., Bell, J.D. and Whitcher, B. 2021. Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes. Annual Conference on Medical Image Understanding and Analysis. University of Oxford 12 - 14 Jul 2021 Springer. https://doi.org/10.1007/978-3-030-80432-9_13

Genetic evidence for different adiposity phenotypes and their opposing influence on ectopic fat and risk of cardiometabolic disease
Martin, S., Cule, M, Basty, N., Tyrrell, J., Beaumont, R.N., Wood, A.R., Frayling, T., Sorokin, E., Whitcher, B., Liu, Y., Bell, J.D., Thomas, E.L. and Yaghootkar, H. 2021. Genetic evidence for different adiposity phenotypes and their opposing influence on ectopic fat and risk of cardiometabolic disease. Diabetes. 70 (8), pp. 1843-1856. https://doi.org/10.2337/db21-0129

Preprint: Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank
Basty, N., Liu, Yi, Cule, M., Thomas, E. Louise, Bell, J.D. and Whitcher, B. 2020. Preprint: Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank. arXiv.

Large‑scale analysis of iliopsoas muscle volumes in the UK Biobank
Fitzpatrick, J., Basty, N., Cule, M., Liu, Y., Bell, J.D., Thomas, E.L. and Whitcher, B. 2020. Large‑scale analysis of iliopsoas muscle volumes in the UK Biobank. Scientific Reports. 10 20215. https://doi.org/10.1038/s41598-020-77351-0

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
Atabaki-Pasdar, N., Ohlsson, M., Viñuela, A., Frau, F., Pomares-Millan, H., Haid, M., Jones, A., Thomas, E.L., Koivula, R., Kurbasic, A., Mutie, P., Fitipaldi, H., Fernandez, J., Dawed, A., Giordano, G., Forgie, I., McDonald, T., Rutters, F., Cederberg, H., Chabanova, E., Dale, M., Masi, F., Thomas, C., Allin, K., Hansen, T., Heggie, A., Hong, M., Elders, P., Kennedy, G., Kokkola, T., Pedersen, H., Mahajan, A., McEvoy, D., Pattou, F., Raverdy, V., Häussler, R., Sharma, S., Thomsen, H., Vangipurapu, J., Vestergaard, H., ‘t Hart, L., Adamski, J., Musholt, P., Brage, S., Brunak, S., Dermitzakis, E., Frost, G., Hansen, T., Laakso, M., Pedersen, O., Ridderstråle, M., Ruetten, H., Hattersley, A., Walker, M., Beulens, J., Mari, A., Schwenk, J., Gupta, R., McCarthy, M., Pearson, E., Bell, J.D., Pavo, I. and Franks, P. 2020. Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts. PLoS Medicine. 17 (6) e1003149. https://doi.org/10.1371/journal.pmed.1003149

Snacking on whole almonds for 6 weeks improves endothelial function and lowers LDL cholesterol but does not affect liver fat and other cardiometabolic risk factors in healthy adults: the ATTIS study, a randomized controlled trial
Dikariyanto, V., Smith, L., Francis, L., Robertson, M., Kusaslan, E., O’Callaghan-Latham, M., Palanche, C., D’Annibale, M., Christodoulou, D., Basty, N., Whitcher, B., Shuaib, H., Charles-Edwards, G., Chowienczyk, P.J., Ellis, P. R., Berry, S.E. and Hall, W. 2020. Snacking on whole almonds for 6 weeks improves endothelial function and lowers LDL cholesterol but does not affect liver fat and other cardiometabolic risk factors in healthy adults: the ATTIS study, a randomized controlled trial. American Journal of Clinical Nutrition. 111 (6), p. 1178–1189. https://doi.org/10.1093/ajcn/nqaa100

Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weghted MRI Data
Basty, N., Liu, Y., Cule, M., Thomas, E.L., Bell, J.D. and Whitcher, B. 2020. Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weghted MRI Data. International Symposium on Biomedical Imaging 2020. Iowa City, USA 03 - 07 Apr 2020 IEEE . https://doi.org/10.1109/ISBI45749.2020.9098650

Human metabolic syndrome resulting from dominant-negative mutations in the nuclear receptor peroxisome proliferator-activated receptor-γ
Savage, D.B., Tan, G.D., Acerini, C.L., Jebb, S.A., Agostini, M., Gurnell, M., Williams, R.L., Umpleby, A.M., Thomas, E.L., Bell, J.D., Dixon, A.K., Dunne, F., Boiani, R., Cinti, S., Vidal-Puig, A., Karpe, F., Chatterjee, V.K.K. and O'Rahilly, S. 2003. Human metabolic syndrome resulting from dominant-negative mutations in the nuclear receptor peroxisome proliferator-activated receptor-γ. Diabetes. 52 (4), p. 910. https://doi.org/10.2337/diabetes.52.4.910