Browsing by Subject "unen häiriöt"

Objectives: Sleep difficulties are more frequent and have a wide effect on health and mental health. Epigenetics studies the complex interplay of genetics and environmental factors, thus helping to locate networks relating to sleep difficulties. This thesis investigates how epigenetic markers, discovered in 2019 in Health 2000 data, that were associated with sleep difficulties associated with DILGOM 2007 data’s wellbeing factors. We hypothesize that they relate to sleep and mood variables also in this data. Methods: DILGOM 2007 data is a part of THLs FINRISKI 2007 population data and it was originally collected for metabolic syndrome research. The sample size that included methylation data was 511 with ages ranging from 25 to 74. This thesis compares 203 differentially methylated positions (DMP), found in both data sets, to wellbeing variables. At first, correlations were examined between systemic methylation levels and fenotype variables. Then, correlations of white blood cell populations to psychosocial variables were examined. Lastly 5 DMPs were chosen based on previous research for further examination, and regression analyses were conducted to model their methylations. Results and conclusions: In this data DMPs were not significantly related to sleep or mood variables anymore as previously assumed. Instead, DMPs strongly correlated with BMI in the whole data. In white blood cell populations CD8T significantly correlated with psychosocial burden. Additionally antidepressants, BMI and CD8T cells explained the variance of methylation in genes chosen for further examination. High BMI in the data seems to mediate the results reflecting underlying low grade inflammation. Epigenetic markers relating to sleep difficulties could reflect low grade inflammation, which is either caused by sleep difficulties or manifests as sleep difficulties.