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Dr Yanchun Bao Research Fellow, University of Essex

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Email
ybaoa@essex.ac.uk
Telephone
01206 874780
Office
2N2.5A.17
Curriculum vitae

I am a Research fellow working in Understanding Society Biomarker Project and MiSoc Project. My current research is to apply and develope statistical methods using genetic information to understand the causal effect of exposure to health/social/economic outcomes. I also help to disseminate Understanding Society Genetic/Epigenetic data. Any informal enquiry about Understanding Society Genetic/Epigenetic data could send to our group email address:  genetics@understandingsociety.ac.uk.

My research interests are:

  • Causal pathway through mediators with genetic instrument
  • Instrumental Variables Methods (Mendelian Randomisation)  
  • Methods of Casual analysis
  • Longitudinal data analysis
  • Survival data analysis
  • Next generation data analysis (Hidden Markov / Random Field Model)
  • Epidemiology and life-course study in Ophthalmology research
  • Covariance model

 

 

 


Publications

  1. Linear transformation models for censored data under truncation

    Huan Wang, Hongsheng Dai, Marialuisa Restaino, et al.

  2. Predicting gene expression from genome wide protein binding profiles

    Mohsina M. Ferdous, Yanchun Bao, Veronica Vinciotti, et al.

    1. Computing
    2. Science And Technology
    3. Research
    4. Genetics
  3. 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
  4. 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
  5. BMI and well-being - a Mendelian Randomization study

    Yanchun Bao

    1. Well Being
    2. Health
    3. Biology
    4. Genetics
  6. Combining multiple SNPs in Mendelian randomization studies with continuous outcome

    Yanchun Bao

    1. Health
    2. Biology
    3. Genetics
  7. Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations

    Bram P. Prins, Karoline B. Kuchenbaecker, Yanchun Bao, et al.

    1. Science And Technology
    2. Health
    3. Biology
    4. Genetics
  8. Multivariate genome-wide and integrated transcriptome and epigenome-wide analyses of the well-being spectrum

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

    1. Psychology
    2. Medicine
    3. Science And Technology
    4. Well Being
    5. Health
    6. Biology
    7. Genetics
  9. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

    Amand F. Schmidt, Daniel I. Swerdlow, Michael V. Holmes, et al.

    1. Medicine
    2. Science And Technology
    3. Health
    4. Biology

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