CAN GENETIC VARIANTS UNDERLYING SUBJECTIVE WELL-BEING PREDICT AGE-RELATED HEALTH PROBLEMS?
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ABSTRACT: Abstract Single item measures of Subjective well-being (SWB) are often superior to more objective clinical assessment for predicting an individuals’ morbidity and mortality, suggesting that SWB is a powerful predictor of future health. Little is known about the genetic architecture underlying this link between SWB and healthy aging. Recently, genetic polymorphisms underlying SWB were identified (rs3756290, rs2075677, and rs4958581) using genome-wide data of more than 298,000 individuals. Based on these findings we derived polygenic risk-scores to predict age-related health problems as measured by self-rated health (SRH) and the Cumulative Illness Rating Scale (CIRS). CIRS scores, SRH as well as genetic information were available in 8,000 individuals from the IGEMS consortium. The observed CIRS and SRH scores were regressed on the polygenic risk-score to assess the degree to which variability in CIRS and SRH could be explained by variability in genes underlying SWB. Findings and implications of these analyses will be discussed.
SUBMITTER: Mosing M
PROVIDER: S-EPMC6185070 | biostudies-literature | 2017 Jun
REPOSITORIES: biostudies-literature
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