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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 101 in total

    1. 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. Genetics
    2. 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. Biology
      2. Genetics
    3. 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
    4. 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
    5. 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
    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. 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
    8. 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
    9. 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
    10. Associations of C-reactive protein and psychological distress are modified by antidepressants, supporting an inflammatory depression subtype: findings from UKHLS

      Amanda Hughes and Meena Kumari

      1. Psychology
      2. Medicine
      3. Well Being
      4. Health
      5. Biology
    11. Vitamin D and cognitive function: a Mendelian randomisation study

      Jane Maddock, Ang Zhou, Alana Cavadino, et al.

      1. Older People
      2. Psychology
      3. Science And Technology
      4. Health
      5. Life Course Analysis
      6. Genetics
    12. Long working hours as a risk factor for atrial fibrillation: a multi-cohort study

      Mika Kivimäki, Solja T. Nyberg, G. David Batty, et al.

      1. Labour Market
      2. Well Being
      3. Health
      4. Biology
    13. Unemployment and inflammatory markers in England, Wales and Scotland, 1998–2012: meta-analysis of results from 12 studies

      Amanda Hughes, Meena Kumari, Anne McMunn, et al.

      1. Medicine
      2. Unemployment
      3. Well Being
      4. Health
      5. Biology
    14. Age at first birth and cardiovascular risk factors in the 1958 British birth cohort

      Rebecca E. Lacey, Meena Kumari, Amanda Sacker, et al.

      1. Childbearing: Fertility
      2. Health
      3. Life Course Analysis
    15. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals

      Emily R. Holzinger, Shefali S. Verma, Carrie B. Moore, et al.


    Media

    Displaying all 15 media publications

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

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

    3. How your blood may predict your future health

    4. Is working long hours bad for your heart?

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

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

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

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

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

    10. Job insecurity tied to increased risk of diabetes

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

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

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

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

    15. Healthy and unhealthy connections: our biology influences our health and lives, while the environments in which we live alter our biology


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