Imperial College London

DrIngaProkopenko

Faculty of MedicineDepartment of Medicine

Reader in Human Genomics
 
 
 
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Contact

 

i.prokopenko

 
 
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Location

 

E301Burlington DanesHammersmith Campus

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Summary

 

Summary

Dr Inga Prokopenko, MSc, PhD, trained in Biology and Chemistry, Kiev, Ukraine, and subsequently in Molecular Genetics and Genetic Epidemiology at the University of Pavia, Italy. She continued studies for her PhD in Pharmacoepidemiology and Pharmacoeconomy at the University of Pavia. After a two-year R&D experience within Psychiatry Translational Medicine & Genetics at GlaxoSmithKline, Verona, Italy, she undertook a postdoctoral training at the Wellcome Trust Centre for Human Genetics, University of Oxford, UK, before being appointed in 2013 as Senior Lecturer in Human Genomics at Imperial College London. Since then she set up her group focusing on the development of approaches for the analysis of high-dimensional multi-omics data. She expanded her major applied research interest in the genetics of type 2 diabetes, glycaemic and early growth traits to dissection of the longitudinal multi-omics effects for improved profiling, prevention and progression tracking of diabetes and its major comorbidities.

 

Leadership roles:

Group leader within the the Section of Genomics of Complex Disease.

Rising Star award holder from the European Association for the Study of Diabetes, 2011.

Board Member, European Society of Human Genetics (ESHG), 2014-2019.

Educational Committee member, European Society of Human Genetics (ESHG), since 2017.

Section Editor, Statistical Genetics, European Journal of Human Genetics (EJHG), since 2014.

Steering Committee member, MAGIC (Meta-Analysis of Glucose and Insulin-related traits Consortium)

Highly cited researcher in the category “Molecular Biology & Genetics”, 2014-currently.

H-index 68.

 HCR

Key Research Interests:

Large-scale high-dimensional multi-omics data analysis approaches.

Genomics of human complex diseases and their comorbidities.

Relationships between disease and its endophenotypes.

Pleiotropic effects and mediation.

Selected Publications

Journal Articles

Scott RA, Scott LJ, Maegi R, et al., 2017, An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans, Diabetes, Vol:66, ISSN:0012-1797, Pages:2888-2902

Kaakinen M, Magi R, Fischer K, et al., 2017, MARV: a tool for genome-wide multi-phenotype analysis of rare variants, BMC Bioinformatics, Vol:18, ISSN:1471-2105

Magi R, Suleimanov YV, Clarke GM, et al., 2017, SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes, BMC Bioinformatics, Vol:18, ISSN:1471-2105

Fuchsberger C, Flannick J, Teslovich TM, et al., 2016, The genetic architecture of type 2 diabetes, Nature, Vol:536, ISSN:0028-0836, Pages:41-+

Spjuth O, Krestyaninova M, Hastings J, et al., 2016, Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research, European Journal of Human Genetics, Vol:24, ISSN:1018-4813, Pages:521-528

Horikoshi M, Maegi R, van de Bunt M, et al., 2015, Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation, PLOS Genetics, Vol:11, ISSN:1553-7390

Surakka I, Horikoshi M, Magi R, et al., 2015, The impact of low-frequency and rare variants on lipid levels, Nature Genetics, Vol:47, ISSN:1061-4036, Pages:589-597

Fall T, Hagg S, Ploner A, et al., 2015, Age- and Sex-Specific Causal Effects of Adiposity on Cardiovascular Risk Factors, Diabetes, Vol:64, ISSN:0012-1797, Pages:1841-1852

Haegg S, Fall T, Ploner A, et al., 2015, Adiposity as a cause of cardiovascular disease: a Mendelian randomization study, International Journal of Epidemiology, Vol:44, ISSN:0300-5771, Pages:578-586

Marullo L, Moustafa JSE-S, Prokopenko I, 2014, Insights into the Genetic Susceptibility to Type 2 Diabetes from Genome-Wide Association Studies of Glycaemic Traits, Current Diabetes Reports, Vol:14, ISSN:1534-4827

Kraja AT, Chasman DI, North KE, et al., 2014, Pleiotropic genes for metabolic syndrome and inflammation, Molecular Genetics and Metabolism, Vol:112, ISSN:1096-7192, Pages:317-338

Prokopenko I, Poon W, Maegi R, et al., 2014, A Central Role for GRB10 in Regulation of Islet Function in Man, Plos Genetics, Vol:10, ISSN:1553-7404

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