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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 110 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. Multivariate genome-wide analyses of the well-being spectrum

      Bart M. L. Baselmans, Rick Jansen, Hill F. Ip, et al.

      1. Psychology
      2. Medicine
      3. Science And Technology
      4. Well Being
      5. Health
      6. Biology
      7. Genetics
    3. Testosterone, risk, and socioeconomic position in British men: exploring causal directionality

      Amanda Hughes and Meena Kumari

      1. Social Stratification
      2. Biology
      3. Genetics
    4. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

      Richard Karlsson Linnér, Pietro Biroli, Edward Kong, et al.

      1. Drug/Alcohol Abuse
      2. Social Behaviour
      3. Biology
      4. Genetics
    5. Assessing the robustness of sisVIVE in a Mendelian randomization study to estimate the causal effect of body mass index on income using multiple SNPs from Understanding Society

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

      1. Income Dynamics
      2. Biology
      3. Genetics
    6. 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
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. 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
    15. 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

    Media

    Displaying media publications 1 - 15 of 21 in total

    1. Working mothers disproportionately more stressed, study claims

    2. Full-time working mothers are 40% more stressed, study finds

    3. Working moms 40% more stressed than women without kids: study

    4. Full-time working moms with two kids are highly stressed: study

    5. Working mothers ‘up to 40% more stressed’

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

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

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

    9. How your blood may predict your future health

    10. Is working long hours bad for your heart?

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

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

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

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

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


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