Dr Brandon Whitcher

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. Advanced online publication. https://doi.org/10.1016/j.ajhg.2022.04.013

A Randomised Crossover Trial: Exploring the Dose-Response effect Of Carbohydrate restriction on glycaemia in people with well-controlled type 2 diabetes (D-ROC2)
Al Ozairi, E., Al Awadi, R., El Samad, A., Taghadom, E., Al-Kandari, J., Abdul-Ghani, M., Oliver, N., Whitcher, B. and Guess, N. 2022. A Randomised Crossover Trial: Exploring the Dose-Response effect Of Carbohydrate restriction on glycaemia in people with well-controlled type 2 diabetes (D-ROC2). Journal of Human Nutrition and Dietetics. Advanced online publication. https://doi.org/10.1111/jhn.13030

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

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 architecture of 11 organ traits derived from abdominal MRI using deep learning.
Liu, Y., Basty, N., Whitcher, B., Bell, J.D., Sorokin, E., van Bruggen, Nick, Thomas, E.L. and Cule, M. 2021. Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning. eLife. 10. https://doi.org/10.7554/elife.65554

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

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

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

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

Ethnic differences in adiposity and diabetes risk – insights from genetic studies
Yaghootkar, H., Bell, J.D., Whitcher, B. and Thomas, E.L. 2020. Ethnic differences in adiposity and diabetes risk – insights from genetic studies. Journal of Internal Medicine. 288 (3), pp. 271-283. https://doi.org/10.1111/joim.13082

Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81

Ethnic differences in intrahepatic lipid and its association with hepatic insulin sensitivity and insulin clearance between men of Black and White ethnicity with early type 2 diabetes
Hakim, O., Bello, O., Bonadonna, O.C., Mohandas, C., Shojaee-Moradie, F., Jackson, N., Boselli, L., Whitcher, B., Shuaib, H., Alberti, K.G.M.M., Peacock, J.L., Umpleby, A.M., Charles-Edwards, E., Amiel, S.A. and Goff, L.M. 2019. Ethnic differences in intrahepatic lipid and its association with hepatic insulin sensitivity and insulin clearance between men of Black and White ethnicity with early type 2 diabetes. Diabetes, Obesity and Metabolism. 21 (9), pp. 2163-2168. https://doi.org/10.1111/dom.13771

Sub‐phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets
Linge, J., Whitcher, B., Borga, M. and Dahlqvist Leinhard, O. 2019. Sub‐phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets. Obesity. 27 (7), pp. 1190-1199. https://doi.org/10.1002/oby.22510

Neuroconductor: an R platform for medical imaging analysis
Muschelli, J., Gherman, A., Fortin, J.P., Avants, B., Whitcher, B., Clayden, J.D., Caffo, B.S. and Crainiceanu, C.M. 2019. Neuroconductor: an R platform for medical imaging analysis. Biostatistics. 20 (2), pp. 218-239. https://doi.org/10.1093/biostatistics/kxx068

Genetic variation in GOLM1 and prefrontal cortical volume in Alzheimer's disease
Inkster, B., Rao, A.W., Ridler, K., Filippini, N., Whitcher, B., Nichols, T.E., Wetten, S., Gibson, R.A., Borrie, M., Kertesz, A., Guzman, D.A., Loy-English, I., Williams, J., Saemann, P.G., Auer, D.P., Holsboer, F., Tozzi, F., Muglia, P., Merlo-Pich, E. and Matthews, P.M. 2012. Genetic variation in GOLM1 and prefrontal cortical volume in Alzheimer's disease. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2010.04.018