Dr Helen R Warren
Lecturer in Statistical Genetics
Centre: Clinical Pharmacology
Email: email@example.comTelephone: +44(0) 20 7882 2120
After receiving a 1st Class Honours BSc degree in Mathematics with Statistics at Royal Holloway University of London in 2007, and then my PhD in Statistics from the University of Surrey, I joined the field of Genetic Epidemiology. During my first PostDoc (2010-2013) as a Research Fellow in Genetic Epidemiology & Statistics at The London School of Hygiene and Tropical Medicine, I worked on a methodology project investigating statistical methods for genetic risk prediction, alongside breast cancer genetics analysis projects and contribution to the UCLEB consortium. I joined Queen Mary University of London in 2013 as a Postdoctoral Statistical Geneticist, and was promoted to a Lecturer in Statistical Genetics in 2017.
- British and Irish Hypertension Society (BIHS Executive Committee Young Investigator Representative)
- International Genetic Epidemiology Society
- American Society of Human Genetics
- “James V. Neel” Young Investigator Postdoctoral Award at International Genetic Epidemiology Society (IGES) conference, Baltimore, USA, October 2015, for oral presentation “Investigating the Association of Rare Genetic Variants with Blood Pressure traits”
- Young Investigator Poster Award at the British and Irish Hypertension Society conference, Dublin, September 2016, for “Novel Loci Discovery for Blood Pressure and Heart Rate using the Exome Chip”
Travel Grant Awards
- CHARGE Junior Travel Grant Award, March 2017
- Postdoctoral Travel Grant from QMUL Life Sciences Institute, 2016
- Bloomsbury Centre for Genetic Epidemiology and Statistics (BCGES) Postdoctoral Travel Grant, 2015
I am a Lecturer within the Clinical Pharmacology research groups led by Prof Mark Caulfield and Prof Patricia Munroe at QMUL.
There are two main strands to my research areas in statistical genetics:
(i) genetic discovery of blood pressure, ECG & other cardiovascular traits
(ii) pharmacogenetics (blood pressure / anti-hypertensive drugs, lipids / statins)
As an analyst for the ASCOT and BRIGHT studies, I also contribute data and results to many international consortia projects for the genetic association of common complex traits.
- Warren HR* et al, "Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk." (2017) Nature Genetics 49: 403-415.
- Surendran P*, Drenos F*, Young R*, Warren H*, Cook JP*, Mannings AK*, Grarup N*, Sim X*, et al. “Trans-ancestry meta-analysis identifies rare and common variants associated with blood pressure and hypertension.” (2016) Nature Genetics 48: 1151-1161.
- Van den Berg M*, Warren HR*, et al, "Discovery of novel heart rate-associated loci using the Exome Chip." (2017) Hum. Mol. Genet. doi: 10.1093/hmg/ddx113.
- Warren H et al, “Genetic Prediction of Quantitative Lipid Traits: Comparing Shrinkage Models to Gene Scores.” (2014) Genetic Epidemiology 38 (1): 72-83#.
- Iris Postmus*, Helen R Warren*, Stella Trompet* et al. “Meta-analysis of genome-wide association studies of HDL cholesterol response to statins.” (2016) Journal of Medical Genetics, DOI: 10.1136/jmedgenet-2016-103966.
- NIHR Cardiovascular Biomedical Research Unit, QMUL (2013-2017)
- NIHR Cardiovascular Biomedical Research Centre, QMUL (2017 – present)
01 February 2017
Over 100 Genetic Signals Influence Blood Pressure