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Professor Meena Kumari Professor of Biological and Social Epidemiology, University of Essex

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Email
mkumari@essex.ac.uk
Telephone
01206 873573
Office
2N2.5A.13

Research Interests:

  • The biological pathways by which the social environment and health are linked over the lifecourse
  • Use of genetic epidemiology to inform understanding of the causal influence of environmentally modifiable risk factors

Meena is a leading expert in biomarkers and genetics, and has worked to apply insights from these areas to better understand ageing, cardiovascular disease, and health inequalities using the Whitehall II cohort study of British civil servants and the English Longitudinal Study of Ageing. She remains an Honorary Professor at UCL.

Meena is the topic champion for health and biomarker content and research in Understanding Society and continues to lead research on the social-biological interface and genetic epidemiology as an investigator for the study.

Additionally Professor Kumari leads the Centre for Doctoral Training in Biosocial Research (Soc-B) at Essex University (in collaboration with UCL and University of Manchester).

Soc-B is now open and accepting applications studentships for October 2018 entry.

See here for publications pre-April 2014


Latest Blog Posts


    Publications

    Displaying publications 1 - 15 of 107 in total

    1. Informal caregiving and diurnal patterns of salivary cortisol: results from the Whitehall II cohort study

      Jesper Mortensen, Nadya Dich, Alice Jessie Clark, et al.

      1. Health
      2. Caregiving
      3. Biology
    2. Testosterone, risk, and socioeconomic position in British men: exploring causal directionality

      Amanda Hughes and Meena Kumari

      1. Social Stratification
      2. Biology
      3. Genetics
    3. Assessing potential shared genetic aetiology between body mass index and sleep duration in 142,209 individuals

      Victoria Garfield, Ghazaleh Fatemifar, Caroline Dale, et al.

      1. Science And Technology
      2. Health
      3. Biology
      4. Genetics
    4. Socioeconomic position and DNA methylation age acceleration across the lifecourse

      Amanda Hughes, Melissa Smart, Tyler Gorrie-Stone, et al.

      1. Health
      2. Life Course Analysis
      3. Social Stratification
      4. Biology
      5. Genetics
    5. Is pre-operation social connectedness associated with weight loss up to 2 years post bariatric surgery?

      Urszula Tymoszuk, Meena Kumari, Andrea Pucci, et al.

      1. Social Networks
      2. Medicine
      3. Health
      4. Social Psychology
    6. Leveraging DNA-methylation quantitative-trait loci to characterize the relationship between methylomic variation, gene expression, and complex traits

      Eilis Hannon, Tyler J. Gorrie-Stone, Melissa Smart, et al.

      1. Science And Technology
      2. Research
      3. Health
      4. Biology
      5. Genetics
    7. Social support and trajectories of body mass index and waist to hip ratio from mid-adulthood to old age

      Urszula Tymoszuk, Meena Kumari, Rachel Batterham, et al.

      1. Older People
      2. Social Networks
      3. Psychology
      4. Health
      5. Life Course Analysis
      6. Biology
    8. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

      James J. Lee, Robbee Wedow, Aysu Okbay, et al.

      1. Education
      2. Biology
      3. Genetics
    9. A comparison of robust methods for Mendelian randomization using multiple genetic variants

      Yanchun Bao, Paul Clarke, Melissa Smart, et al.

      1. Income Dynamics
      2. Biology
      3. Genetics
    10. Age modification of the relationship between C-reactive protein and fatigue: findings from Understanding Society (UKHLS)

      Amanda Hughes and Meena Kumari

      1. Medicine
      2. Health
      3. Biology
    11. Better governance, better access: practising responsible data sharing in the METADAC governance infrastructure

      Madeleine J. Murtagh, Mwenza T. Blell, Olly W. Butters, et al.

      1. Medicine
      2. Science And Technology
      3. Research
      4. Surveys
      5. Biology
      6. Genetics
    12. Leveraging DNA methylation quantitative trait loci to characterize the relationship between methylomic variation, gene expression and complex traits

      Eilis Hannon, Tyler J. Gorrie-Stone, Melissa Smart, et al.

      1. Science And Technology
      2. Research
      3. Health
      4. Biology
      5. Genetics
    13. Retirement and socioeconomic differences in diurnal cortisol: longitudinal evidence from a cohort of British civil servants

      Tarani Chandola, Patrick Rouxel, Michael G. Marmot, et al.

      1. Older People
      2. Labour Market
      3. Health
      4. Life Course Analysis
      5. Social Stratification
      6. Biology
    14. Gene-environment interactions between education and body mass: evidence from the UK and Finland

      Vikesh Amin, Petri Böckerman, Jutta Viinikainen, et al.

      1. Education
      2. Health
      3. Biology
      4. Genetics
    15. Metabolic profiling of adiponectin levels in adults Mendelian randomization analysis

      Maria Carolina Borges, Aluísio J.D. Barros, Diana L. Santos Ferreira, et al.

      1. Medicine
      2. Health
      3. Biology
      4. Genetics

    Media

    Displaying media publications 1 - 15 of 16 in total

    1. Difficult childhood experiences could make us age prematurely – new research

    2. How to fix health by looking upstream: 5 must-reads

    3. Blood, sweat and tears: creating the CLOSER biomarker catalogue

    4. How your blood may predict your future health

    5. Is working long hours bad for your heart?

    6. It’s official: your boss is less stressed than you!

    7. Being retired is no less stressful than working – unless you were in a top job

    8. High earners can expect relaxing retirement but stress RISES for lower paid

    9. Retirement is no less stressful than working - especially if you had a lower paid, undemanding job, study finds

    10. Study dispels myth of links between poverty and weight: unemployed more likely than those in work to be very thin, says report

    11. Job insecurity tied to increased risk of diabetes

    12. University of Essex at forefront of biosocial postgraduate research training

    13. Genome shrinks uncover gene variants linked with sense of well-being

    14. Genetic variants linked to well-being, depression, neuroticism identified

    15. Scientists identify genes connected to wellbeing, depression and neuroticism


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