Dr Archana Sharma-Oates PhD

Dr Archana Sharma-Oates

School of Biosciences
Lecturer/Assistant Professor

Contact details

Dr Sharma-Oates’s research interest include the influence of ethnicity on disease onset and disease severity with a focus on autoimmune inflammatory diseases.


  • BSc, Biochemistry, University of Liverpool, UK
  • MRes (Distinction), Bioinformatics, University of Leeds, UK
  • PhD “Interpretation of C. elegans Genome Sequence Data through Gene Expression Patterns”, University of Leeds, UK


Following her undergraduate degree, she spent a year working as a research assistant at the Lombardi Cancer Centre, Georgetown University, Washington DC, USA. She returned to the UK to start a Masters in Bioinformatics at the University of Leeds and then went on to pursue a PhD. Following on from PhD, she spent a number of years working as post-doctoral research fellow in a wider range of research areas encompassing cancer, animal development and disease, and more recently, COVID-19. She started in my current position as Lecturer in Bioinformatics at University of Birmingham in 2021.


Module Lead for Computational Biology for Complex Systems (Dubai), on the MSc Bioinformatics program at the Centre for Computational Biology (CCB).

Module Lead MSc. Bioinformatics Computational Biology for Complex Systems (DL), MSc Bioinformatics at the Centre for Computational Biology (CCB).

Tutor for Introduction to Biology and Programming (DL BIO – 37399), Introduction to Probabilities (DL BIO – 37418).

She teaches on various modules on MSc Bioinformatics, MSc Health Data Science and MSc Genomic Medicine as well as on Undergraduate module “Omics for Biomedical Research”.

Postgraduate supervision

Students interested in the possibility of a PhD position are encouraged to contact Dr Sharma-Oates directly via email.


She has extensive experience in transcriptomics, whole genome sequence analysis applied to cancer research, as well as the analysis of the methylome applied to musculoskeletal and ageing research.   However, her particular research interest is in determining the underlying biological mechanisms behind the onset of disease between different ethnicities, specifically to determine the contribution of the environment versus genetics. 

Other activities

She is a member of the Biosciences Equality Diversity and Inclusion (EDI) Committee and the British Society for Research on Ageing


Alnajjar F, Sharma-Oates A, Wijesinghe SN, Farah H, Nanus DE, Nicholson T, Davis ET, Jones SW. The expression and function of Metastases Associated Lung Adenocarcinoma Transcript-1 long non-coding RNA in subchondral bone and osteoblasts from patients with osteoarthritis. Cells [IF: 4.8]2021, 10(4), 786.

Parry HM, Zuo J, Cutmore N, Mirajkar N, Vong L, Kinsella-Mitchell F, Pachnio A, Ciaurriz M, Begum J, Croft W, Sharma-Oates A, Pratt G, Moss P. PD-1 is imprinted on cytomegalovirus-specific CD4+ T cells and attenuates Th1 cytokine production whilst maintaining cytotoxicity. PLoS Pathog [IF: 6.2]. 2021, 17(3): e1009349.

Chin IK, Galavotti S, Yip KP, Curley H, Arnold R, Sharma-Oates A, Chegwidden L, Lee SI, Lee LYW, Pinato DJ, Dettorre GM, Palles C. Influence of clinical characteristics and anti-cancer therapy on outcomes from SARS-CoV-2 infection: a systematic review and meta-analysis of 5,678 cancer patients. medRxiv 2021 doi: 10.1101/2020.12.15.20248195.

Lee LYW, Cazier JB,[Sharma-Oates A and others]. COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study. Lancet Oncol. [IF:33.8] 2020 Oct;21(10):1309-1316.

Lee LYW, Cazier JB, [Sharma-Oates A and others]. COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study. Lancet [IF: 59.1]. 2020 Jun 20;395(10241):1919-1926.

The UK Coronavirus Cancer Monitoring Project: protecting patients with cancer in the era of COVID-19. Lancet Oncol. [IF:33.8] 2020 May;21(5):622-624.

Kwok, M. C. K., Rawstron, A., Goel, A., Papatzikas, G., Oldreive, C., Jones, R., Drennan, S., Agathanggelou, A., Sharma-Oates, A., Evans, P., Smith, E., Dalal, S., Mao, J., Hollows, R., Gordon, N., Hamada, M., Davies, N., Parry, H., Beggs, A., Munir, T. & 10 others, Moreton, P., Paneesha, S., Pratt, G., Taylor, M., Forconi, F., Baird, D., Cazier, J-B., Moss, P., Hillmen, P. & Stankovic, T., Natural history and mechanism of spontaneous CLL regression: an integrative analysis of 20 cases Leukemia & Lymphoma [IF:2.9]. Taylor & Francis, 2020, Vol. 61. p. 225-226

Kwok M , Oldreive C , Rawstron AC, Goel A, Papatzikas G, Jones RE, Drennan S, Agathanggelou A, Sharma-Oates A, Evans P, Smith E, Dalal S, Mao J, Hollows R, Gordon N, Hamada M, Davies NJ, Parry H, Beggs AD, Munir T, Moreton P, Paneesha S, Pratt G, A. Taylor MR, Forconi F, Baird DM, Cazier J-B, Moss P, Hillmen P and Stankovic T. Integrative analysis of spontaneous CLL regression highlights genetic and microenvironmental interdependency in CLL. Blood [IF:17.5]. 2020, 6:135(6):411-428.

Law P, Timofeeva M, Fernandez-Rozadilla C, [A. Sharma-Oates and 94 others,] Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat Commun. [IF:12.1] 2019 May 14;10(1):2154.

Sharma-Oates A, Shabaan A, Tomlinson I, Wynn L, Cazier J-B and Sundar S. Landscape of germline variants in breast and ovarian cancer susceptibility genes in India and clinico-pathological correlation - a systematic review. Precision Clinical Medicine, 2018 1 September:1(2), 75–87.

Inman C, Eldershaw S, Croudace J, Davies N, Sharma-Oates A,  Rai T, Pearce H, Sirovica M, Cham T,  Zuo J, Nagra S, Kinsella F,  Nunnick J, Amel-Kashipaz R, Craddock C, Malladi R and Moss P. Unique features and clinical importance of acute alloreactive immune responses. JCI Insight [IF:6.2]. 2018;3(10):e97219.

Davidson RL, Weber RJM, Liu H, Sharma-Oates A and Viant MR: Galaxy-M: A Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data. GigaScience [IF:6.0]. 2016 5(1)

Sharma-Oates A, Quirke P. and Westhead D.R. TmaDB: a repository for tissue microarray data. BMC Bioinformatics [IF:5.3] 2005 Sep 1;6:218

Molin L, Mounsey A, Aslam S, Bauer P, Young J, James M, Sharma-Oates A, Hope IA.  Evolutionary conservation of redundancy between a diverged pair of forkhead transcription factor homologues. Development [IF: 6.2] 2000 Nov;127(22):4825-35.