Sara Hägg
Associate Professor in Molecular Epidemiology at Karolinska Institutet.
My main research interest is in the field of aging and age-related diseases, applying molecular epidemiological methods. At the moment I am conducting analyses of different biological age predictors (telomere length, epigenetic clock, frailty index, etc) in several twin studies of aging (SATSA, GENDER, HARMONY, OCTO-Twin, TwinGene) within the Swedish Twin Registry and also using UK biobank data. Methods that I use include longitudinal modelling, causal analyses using Mendelian Randomization, and large-scale genome-wide approaches.
Visit website: https://staff.ki.se/people/sarhag
See also: Karolinska Institutet - Public Medical university.
Details last updated 14-Jan-2021
Sara Hägg News
Highlights from eLife's Aging, Geroscience and Longevity Symposium
eLife Sciences - 17-Dec-2020
Authors covered biological age clocks, senescent cells, longevity genes, and more
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