Associate Professor (Docent) in molecular epidemiology at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet.
- PhD in Computational Biology, Linköping University, 2009
- MSc in Molecular Biology, Stockholm University, 2003
- BSc in Computer Science, Stockholm University, 2003
- Genetic epidemiology, Medical epidemiology and biostatistics (MEB), KI, 2011-2014
- Molecular epidemiology, Department of medical sciences, Uppsala University, 2013-2014
- Stanford University School of Medicine, 2016
My main research interest is in the field of aging and age-related diseases, applying molecular epidemiological methods. At the moment I am conductiong longitudinal epigenetic- and telomere length analyses in elderly twins from the SATSA study, a sub-study within the Swedish Twin Registry. I am also leading a European collaboration where we look at relations between telomere length and cognitive performance as well as depressive symptoms.
Another project was initiated within the ENGAGE consortia, where I was part of leading several studies using a Mendelian Randomization (MR) approach to assess causality. Here we looked for associations between BMI and a number of different outcomes by the help of genetic variants as instruments. The MR method has been successfully used in a number of other studies where I have a leading role as well.
For a more detailed description of my current research please visit my project page Molecular epidemiology studies of aging and aging-related diseases.
- Yiqiang Zhan (Supervisor)
- Yunzhang Wang (Supervisor)
- Ninoa Malki (Co-supervisor)
- Xu Chen (Co-supervisor)
- Ida Karlsson (Co-supervisor)
I am course organizer of Genetic Epidemiology (1.5 ECT) which is a course for PhD-students where we cover basics in genetics and discuss large-scale genetic association studies. I am also coordinator for the Medical degree projects.