Contact information
DPhil research opportunity
Valentina Iotchkova
MRC WIMM Group Leader
Valentina is a mathematician/statistician by training with experience in large-scale analyses of quantitative genetic variation and relevant statistical method development (e.g. multivariate association analysis, missing value imputation, functional enrichment analysis).
Valentina’s current interests lie in the development and application of new computational and statistical approaches aimed at utilizing high-dimensional datasets in biology and medicine to their full potential (e.g. by integration across different layers of information). In particular, she is keen to develop methodological advancements to accelerate the discovery and interpretation of multidimensional phenotypic consequences of common and rare genetic variation as well as to use genetic information to infer direction of causality between different layers of phenotypic information.
Recent publications
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Incidence of symptomatic, image-confirmed venous thromboembolism following hospitalization for COVID-19 with 90-day follow-up.
Journal article
Salisbury R. et al, (2020), Blood Adv, 4, 6230 - 6239
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Mechanisms of Progression of Myeloid Preleukemia to Transformed Myeloid Leukemia in Children with Down Syndrome.
Journal article
Labuhn M. et al, (2019), Cancer Cell, 36, 123 - 138.e10
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Variation in PU.1 binding and chromatin looping at neutrophil enhancers influences autoimmune disease susceptibility
Journal article
Watt S. et al, (2019)
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GARFIELD classifies disease-relevant genomic features through integration of functional annotations with association signals.
Journal article
Iotchkova V. et al, (2019), Nat Genet, 51, 343 - 353
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Low-frequency variation in TP53 has large effects on head circumference and intracranial volume.
Journal article
Haworth S. et al, (2019), Nat Commun, 10