Dr Ganna Leonenko

2025

• Bellou, E. et al. 2025. Benchmarking Alzheimer's disease prediction: personalised risk assessment using polygenic risk scores across various methodologies and genome-wide studies. Alzheimer's Research and Therapy 17(1), article number: 6. (10.1186/s13195-024-01664-9)

2024

• Simmonds, E. et al. 2024. Chromosome X-wide association study in case control studies of pathologically confirmed Alzheimer’s disease in a European population. Translational Psychiatry 14(1), article number: 358. (10.1038/s41398-024-03058-9)
• Manzoni, C. et al. 2024. Genome-wide analyses reveal a potential role for the MAPT, MOBP, and APOE loci in sporadic frontotemporal dementia. American Journal of Human Genetics 111(7), pp. 1316-1329. (10.1016/j.ajhg.2024.05.017)
• Leonenko, G. et al. 2024. Dementias Platform UK: Bringing genetics into life. Alzheimer's & Dementia: The Journal of the Alzheimer's Association 20(5), pp. 3281-3289. (10.1002/alz.13782)
• Martin Flores, N. et al. 2024. Downregulation of Dickkopf-3, a Wnt antagonist elevated in Alzheimer’s disease, restores synapse integrity and memory in a disease mouse model. eLife 12, article number: RP89453. (10.7554/elife.89453)

2023

• Stevenson-Hoare, J., Leonenko, G. and Escott-Price, V. 2023. Comparison of long-term effects of metformin on longevity between people with type 2 diabetes and matched non-diabetic controls. BMC Public Health 23, article number: 804. (10.1186/s12889-023-15764-y)
• Leonenko, G. and Phillips, T. N. 2023. Transient numerical approximation of hyperbolic diffusions and beyond. Journal of Computational and Applied Mathematics 422, article number: 114893. (10.1016/j.cam.2022.114893)
• Simmonds, E. et al. 2023. What does heritability of Alzheimer’s disease represent?. PLoS ONE 18(4), article number: e0281440. (10.1371/journal.pone.0281440)
• Stevenson-Hoare, J. et al. 2023. Plasma biomarkers and genetics in the diagnosis and prediction of Alzheimer's disease. Brain 146(2), pp. 690-699. (10.1093/brain/awac128)

2022

• Crawford, K. et al. 2022. Golgi apparatus, endoplasmic reticulum and mitochondrial function implicated in Alzheimer's disease through polygenic risk and RNA sequencing. Molecular Psychiatry (10.1038/s41380-022-01926-8)
• Stevenson-Hoare, J. O. et al. 2022. Blood plasma biomarkers improve prediction accuracy over and above genetic predictors of Alzheimer's disease [Abstract]. Alzheimer's & Dementia: The Journal of the Alzheimer's Association 18(S6), article number: e064192. (10.1002/alz.064192)
• Bracher-Smith, M. et al. 2022. Whole genome analysis in APOE4 homozygotes identifies the DAB1-RELN pathway in Alzheimer’s disease pathogenesis. Neurobiology of Aging 119, pp. 67-76. (10.1016/j.neurobiolaging.2022.07.009)
• Hou, J. et al. 2022. Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease. Translational Psychiatry 12(1), article number: 296. (10.1038/s41398-022-02055-0)
• Crawford, K. et al. 2022. Analysis of Alzheimer's disease Polygenic Risk Scores using RNA-sequencing provides further novel biological pathways. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2022.06.29.22276952) Available at: https://doi.org/10.1101/2022.06.29.22276952

2021

• Di Florio, A. et al. 2021. Post-partum psychosis and its association with bipolar disorder in the UK: a case-control study using polygenic risk scores. The Lancet Psychiatry 8(12), pp. 1045-1052. (10.1016/S2215-0366(21)00253-4)
• Leonenko, G. et al. 2021. Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores. Nature Communications 12, article number: 4506.
• Harwood, J., Leonenko, G., Sims, R., Escott-Price, V., Williams, J. and Holmans, P. 2021. Defining functional variants associated with Alzheimer's disease in the induced immune response. Brain Communications 3(2), article number: fcab083. (10.1093/braincomms/fcab083)
• Katzourou, I. et al. 2021. Cognitive decline in Alzheimer’s disease is not associated with APOE. Journal of Alzheimer's Disease 84(1), pp. 141-149. (10.3233/jad-210685)

2020

• Bellou, E. et al. 2020. Age-dependent effect of APOE and polygenic component on Alzheimer's disease. Neurobiology of Aging 93, pp. 69-77., article number: Neurobiology of Aging Volume 93, September 2020, Pages 69-77. (10.1016/j.neurobiolaging.2020.04.024)
• Lewis, K. J. et al. 2020. Comparison of genetic liability for sleep traits among individuals with Bipolar Disorder I or II and control participants. JAMA Psychiatry 77(3), pp. 303-310. (10.1001/jamapsychiatry.2019.4079)

2019

• Leonenko, G. et al. 2019. Genetic risk for Alzheimer's disease is distinct from genetic risk for amyloid deposition. Annals of Neurology 86(3), pp. 427-435. (10.1002/ana.25530)
• Baker, E. et al. 2019. Gene-based analysis in HRC imputed genome wide association data identifies three novel genes for Alzheimer’s disease. PLoS ONE 14(7), article number: e0218111. (10.1371/journal.pone.0218111)
• Escott-Price, V., Baker, E., Shoai, M., Leonenko, G., Myers, A. J., Huentelman, M. and Hardy, J. 2019. Genetic analysis suggests high misassignment rates in clinical Alzheimer's cases and controls. Neurobiology of Aging 77, pp. 178-182. (10.1016/j.neurobiolaging.2018.12.002)
• Kunkle, B. W. et al. 2019. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nature Genetics 51(3), pp. 414-430. (10.1038/s41588-019-0358-2)
• Leonenko, G. et al. 2019. Polygenic risk and hazard scores for Alzheimer's disease prediction. Annals of Clinical and Translational Neurology 6(3), pp. 456-465. (10.1002/acn3.716)

2018

• Leonenko, G. et al. 2018. A data-driven investigation of relationships between bipolar psychotic symptoms and schizophrenia genome-wide significant genetic loci. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 177(4), pp. 468-475. (10.1002/ajmg.b.32635)
• Sims, R. et al. 2018. Meta-analysis of genetic association with diagnosed Alzheimer's disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing. [Online]. bioRxiv. (10.1101/294629) Available at: https://doi.org/10.1101/294629
• Allardyce, J. et al. 2018. Association between schizophrenia-related polygenic liability and the occurrence and level of mood-incongruent psychotic symptoms in bipolar disorder. JAMA Psychiatry 75(1), pp. 28-35. (10.1001/jamapsychiatry.2017.3485)

2017

• Leonenko, G. et al. 2017. Mutation intolerant genes and targets of FMRP are enriched for nonsynonymous alleles in schizophrenia. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 174(7), pp. 724-731. (10.1002/ajmg.b.32560)
• Legge, S. E. et al. 2017. Genome-wide common and rare variant analysis provides novel insights into clozapine-associated neutropenia. Molecular Psychiatry 22, pp. 1502-1508. (10.1038/mp.2016.97)
• Leonenko, G. et al. 2017. Investigation of relationships between bipolar disorder phenotypes and genome-wide significant loci from PGC2 schizophrenia. European Neuropsychopharmacology 27(S3), pp. S383-S384. (10.1016/j.euroneuro.2016.09.416)

2016

• Richards, A. et al. 2016. Exome arrays capture polygenic rare variant contributions to schizophrenia. Human Molecular Genetics 25(5), pp. 1001-1007. (10.1093/hmg/ddv620)

2015

• Loohuis, L. M. O. et al. 2015. Genome-wide burden of deleterious coding variants increased in schizophrenia. Nature Communications 6, article number: 7501. (10.1038/ncomms8501)
• Leonenko, G. M. and Phillips, T. N. 2015. Numerical approximation of high-dimensional Fokker-Planck equations with polynomial coefficients. Journal of computational and applied mathematics 273, pp. 296-312. (10.1016/j.cam.2014.05.024)

2014

• Verrelst, J., Rivera, J. P., Leonenko, G. M., Alonso, L. and Moreno, J. 2014. Optimizing LUT-based RTM inversion for semiautomatic mapping of crop biophysical parameters from Sentinel-2 and -3 Data: role of cost functions. IEEE Transactions on Geoscience and Remote Sensing 52(1), pp. 257-269. (10.1109/TGRS.2013.2238242)

2013

• Rivera, J. P., Verrelst, J., Leonenko, G. M. and Moreno, J. 2013. Multiple cost functions and regularization options for improved retrieval of leaf chlorophyll content and LAI through inversion of the PROSAIL model. Remote Sensing 5(7), pp. 3280-3304. (10.3390/rs5073280)
• Leonenko, G. M., Los, S. and North, P. 2013. Statistical distances and their applications to biophysical parameter estimation: information measures, m-estimates, and minimum contrast methods. Remote Sensing 5(3), pp. 1355-1388. (10.3390/rs5031355)
• Leonenko, G. M., Los, S. O. and North, P. R. J. 2013. Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment 139, pp. 257-270. (10.1016/j.rse.2013.07.012)

2012

• Leonenko, G. M. and Phillips, T. N. 2012. High-order approximation of Pearson diffusion processes. Journal of Computational and Applied Mathematics 236(11), pp. 2853-2868. (10.1016/j.cam.2012.01.022)
• Verrelst, J., Rivera, G. P., Leonenko, G. M., Alonso, L. and Moreno, J. 2012. Optimizing LUT-based radiative transfer model inversion for retrieval of biophysical parameters using hyperspectral data. Presented at: 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 20122012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Picastaway, NJ: IEEE pp. 7325-7328., (10.1109/IGARSS.2012.6351969)

2011

• Leonenko, G. M. and Phillips, T. N. 2011. The prediction of plane Couette flow for a FENE fluid using a reduced basis approximation of the Fokker-Planck equation. International Journal for Multiscale Computational Engineering 9(1), pp. 73-88. (10.1615/IntJMultCompEng.v9.i1.60)

2009

• Leonenko, G. M. and Phillips, T. N. 2009. On the solution of the Fokker-Planck equation using a high-order reduced basis approximation. Computer Methods in Applied Mechanics and Engineering 199(1-4), pp. 158-168. (10.1016/j.cma.2009.09.028)
• Leonenko, G. M. 2009. A new formula for the transient solution of the Erlang queueing model. Statistics & Probability Letters 79(3), pp. 400-406. (10.1016/j.spl.2008.09.014)

2008

• Griffiths, J. D., Leonenko, G. M. and Williams, J. E. 2008. Time-dependent analysis of non-empty M/E k/1 queue. Quality Technology and Quantitative Management 5(3), pp. 309-320. (10.1080/16843703.2008.11673403)
• Griffiths, J. D., Leonenko, G. M. and Williams, J. E. 2008. Approximation to the Transient Solution of the M/Ek/1 Queue. INFORMS Journal on Computing 20(4), pp. 510-515. (10.1287/ijoc.1070.0262)
• Leonenko, G. M. and Phillips, T. N. 2008. Reduced basis function method for solving the 2D Fokker-Planck equation. Presented at: SASOR 2008: 2nd Southern African Conference of Rheology, Cape Town, South Africa, 6-8 October 2008.

2006

• Griffiths, J. D., Leonenko, G. M. and Williams, J. E. 2006. The transient solution to M/Ek/1 queue. Operations Research Letters 34(3), pp. 349-354. (10.1016/j.orl.2005.05.010)
• Kozachenko, Y. V. and Leonenko, G. M. 2006. Extremal behavior of the heat random field. Extremes 8(3), pp. 191-205. (10.1007/s10687-006-7967-8)

2005

• Griffiths, J. D., Leonenko, G. M. and Williams, J. E. 2005. Generalization of the modified Bessel function and its generating function. Fractional Calculus and Applied Analysis 8(3), pp. 267-276.
• Leonenko, G. 2005. Transient solution of the M/Ek/1 queueing system. PhD Thesis, Cardiff University.

2002

• Kozachenko, Y. V. and Leonenko, G. M. 2002. Large deviation type inequality for the supremum of the heat random fields. Methods of Functional Analysis and Topology 8(3), pp. 46-49.