Research output per year
Research output per year
Personal profile
Further information
Overview
I am a Lecturer in Cardiovascular Computational Biology interested in studying the biological impact of genetic, transcriptomic and epigenetic variation on human health using high-throughput sequencing technologies. I apply experimental approaches from the fields of multi-omics, deep-learning and data-science to answer research questions directly relevant to our understanding of biological disease processes. I have a special interest in translational research in cardiovascular medicine (hypertension, coronary artery disease) and nephrology (chronic kidney disease and renal histopathology) informed by genomics and transcriptomics.
I have been performing computational experiments for the large-scale analysis of genomics, transcriptomics, and epigenomics data for the last 10 years and have a particular interest in techniques for summarisation, visualisation and communication of high-dimensionality data for identifying causal disease genes.
The work in my lab is funded by the British Heart Foundation, Translation Manchester and Health Innovation Manchester.
I have over 20 peer-reviewed publications, many in high-impact journals including Nature Genetics, the European Heart Journal, Nature Communications, Arteriosclerosis, Thrombosis and Vascular Biology and Journal of the American Society of Nephrology. I am also a recent reviewer for the European Heart Journal, Cardiovascular Research, Journal of Hypertension, Physiological Genomics, Journal of Human Hypertension and Scientific Reports. My work has over 1,500 citations and an H-index of 20.
I'm always happy to engage on twitter as well @EalesJames
My group
PhD Students
Steph Brown - PhD Student - Sequence-based deep learning models for prioritisation of disease-associated non-coding variants in cardiovascular disease
Qi Wang - PhD student - A deep learning model of tissue-specific alternative splicing in cardiovascular disease genes
Yong Sun - PhD Student - Insights into mechanisms of chronic kidney disease from human tissue multi-omics - co-supervised with Prof Maciej Tomaszewski
Kate Campbell - PhD Student - Drosophila based screening to replace mammalian systems to identify the functional role of candidate genes in controlling muscle dyadic architecture - co-supervised with Prof Andrew Trafford, Dr Kat Dibb, Prof Andreas Prokop.
Dr Sushant Saluja - Clinical PhD Student - Therapeutic targeting of blood pressure-associated kidney genes - co-supervised with Prof Maciej Tomaszewski
Maciej Drzal - PhD Student - Multi-omic profiling of the hypertensive kidney - co-supervised with Prof. Maciej Tomaszewski
David Scannali - PhD Student - Transcriptomics and epigenomics of chronic kidney disease - co-supervised with Dr Sabu Abraham, Dr Nick Ashton and Prof Maciej Tomaszewski
Collaborators
I also collaborate with the research groups of Prof Maciej Tomaszewski and Prof Bernard Keavney.
Opportunities
PhD opportunities
None available at this time.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Areas of expertise
- QH301 Biology
- QH426 Genetics
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Uncovering genetic mechanisms of hypertension through multi-omic analysis of the kidney
Eales, J., Jiang, X., Xu, X., Saluja, S., Akbarov, A., Cano-Gomez, E., McNulty, M. T., Finan, C., Guo, H., Wystrychowski, W., Szulinska, M., Thomas, H., Pramanik, S., Chopade, S., Prestes, P. R., Wise, I., Evangelou, E., Salehi, M., Shakanti, Y. & Ekholm, M. & 30 others, , 6 May 2021, In: Nature Genetics. 53, 5, p. 630–637 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile114 Downloads (Pure) -
Hypertension and renin-angiotensin system blockers are not associated with expression of angiotensin-converting enzyme 2 (ACE2) in the kidney
Jiang, X., Eales, J. M., Scannali, D., Nazgiewicz, A., Prestes, P., Maier, M., Denniff, M., Xu, X., Saluja, S., Cano-Gamez, E., Wystrychowski, W., Szulinska, M., Antczak, A., Byars, S., Skrypnik, D., Glyda, M., Król, R., Zywiec, J., Zukowska-Szczechowska, E. & Burrell, L. M. & 13 others, , 27 Oct 2020, In: European Heart Journal . 41, 48, p. 4580-4588 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Plasma Proteomics of Renal Function: A Trans-ethnic Meta-analysis and Mendelian Randomization Study
Matías-García, P., Wilson, R., Guo, Q., Zaghlool, S., Eales, J., Xu, X., Charchar, F., Dormer, J., Maalmi, H., Schlosser, P., Elhadad, M., Nano, J., Sharma, S., Peters, A., Fornoni, A., Mook-Kanamori, D., Winkelmann, J., Danesh, J., Di Angelantonio, E. & Ouwehand, W. & 16 others, , Jul 2021, In: Journal of the American Society of Nephrology : JASN. 32, 7, p. 1747-1763 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile191 Downloads (Pure) -
Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets
Human Kidney Tissue Resource Study Group, Xu, X., Khunsriraksakul, C., Eales, J. M., Rubin, S., Scannali, D., Saluja, S., Talavera, D., Markus, H., Wang, L., Drzal, M., Maan, A., Lay, A. C., Prestes, P. R., Regan, J., Diwadkar, A. R., Denniff, M., Rempega, G., Ryszawy, J. & Król, R. & 19 others, , 19 Mar 2024, In: Nature Communications. 15, 1, 2359.Research output: Contribution to journal › Article › peer-review
Open Access -
Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas.
Hughes, O., Bentley, A., Breeze, C., Aguet, F., Xu, X., Nadkarni, G., Sun, Q., Lin, B., Gilliland, T., Meyer, M., Du, J., Raffield, L., Kramer, H., Morton, R., Gouveia, M., Atkinson, E., Valladares-Salgado, A., Wacher-Rodarte, N., Dueker, N. & Guo, X. & 31 others, , 10 Jan 2024, In: Cell genomics. 4, 1, 100468.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Summary statistics of UK Biobank blood pressure genome-wide association studies (GWAS) using 337,422 unrelated white European individuals
Xu, X. (Creator), Khunsriraksakul, C. (Contributor), Eales, J. M. (Contributor), Rubin, S. (Contributor), Scannali, D. (Contributor), Saluja, S. (Contributor), Talavera, D. (Contributor), Markus, H. (Contributor), Wang, L. (Contributor), Drzal, M. (Contributor), Maan, A. (Contributor), Lay, A. C. (Contributor), Prestes, P. R. (Contributor), Regan, J. (Contributor), Diwadkar, A. R. (Contributor), Denniff, M. (Contributor), Rempega, G. (Contributor), Ryszawy, J. (Contributor), Król, R. (Contributor), Dormer, J. P. (Contributor), Szulinska, M. (Contributor), Walczak, M. (Contributor), Antczak, A. (Contributor), Matías-García, P. R. (Contributor), Waldenberger, M. (Contributor), Woolf, A. S. (Contributor), Keavney, B. (Contributor), Zukowska-Szczechowska, E. (Contributor), Wystrychowski, W. (Contributor), Zywiec, J. (Contributor), Bogdanski, P. (Contributor), Danser, A. H. J. (Contributor), Samani, N. J. (Contributor), Guzik, T. J. (Contributor), Morris, A. (Contributor), Liu, D. J. (Contributor), Charchar, F. J. (Contributor) & Tomaszewski, M. (Contributor), University of Manchester Figshare, 22 Mar 2024
DOI: 10.48420/24851436, https://figshare.manchester.ac.uk/articles/dataset/UK_Biobank_blood_pressure_GWAS_summary_statistics_using_337_422_unrelated_white_European_individuals/24851436/2
Dataset