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Institute of Epidemiology & Health Care

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Victoria Garfield

Research interests

• Genetic epidemiological methods 

• Employing genetic data to examine the association of obesity with various phenotypes

• Statistical genetics / bioinformatics / biology 

• Investigation of psychiatric and psychological phenotypes using genetics 

Current research

My doctoral research uses observational and genetic epidemiology to examine the relationship between complex traits, specifically, obesity and sleep duration. I am using large-scale population data to address this question. My research is funded by a multidisciplinary grant from the ESRC and MRC. I will also be visiting the Norwegian University of Science and Technology (NTNU) for 3 months (March-June 2017) to undertake research related to my PhD. 

BIOGRAPHY

Appointments:

• September 2013 - Present: UCL - MRC/ESRC Multidisciplinary 4-year studentship in Genetic Epidemiology

• September 2011 - April 2013: Honorary Research Assistant, InLab, Psychology Department, Goldsmiths, University of London

• September 2011 - June 2012: Honorary Research Assistant - Social, Genetic & Developmental Psychiatry, IoP, King's College London

Qualifications:

• September 2011 - September 2012: MS.c. in Research Methods in Psychology - Goldsmiths, University of London

• September 2007 - June 2011: BS.c. Psychology - Birkbeck, University of London

PUBLICATIONS

  1. Garfield V, Llewellyn CH, Steptoe A, Kumari M. Investigating the Bidirectional Associations of Adiposity with Sleep Duration in Older Adults: The English Longitudinal Study of Ageing (ELSA). Scientific Reports. 2017 Jan 9;7:40250.
  2. Garfield V, Llewellyn CH, Kumari M. The relationship between physical activity, sleep duration and depressive symptoms in older adults: The English Longitudinal Study of Ageing (ELSA). Preventive Medicine Reports. 2016 Dec 31;4:512-6.
  3. Malanchini M, Tosto MG, Garfield V, Dirik A, Czerwik A, Arden R, Malykh S, Kovas Y. Preschool Drawing and School Mathematics: The Nature of the Association. Child development. 2016 May 1;87(3):929-43.
  4. Okbay A, Baselmans BM, De Neve JE, Turley P, Nivard MG, Fontana MA, Meddens SF, Linnér RK, Rietveld CA, Derringer J, Gratten J. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nature genetics. 2016 Apr 18.
  5. Arden R, Trzaskowski M, Garfield V, Plomin R. Genes influence young children's human figure drawings and their association with intelligence a decade later. Psychological science. 2014 Aug 20:0956797614540686.