Genetic Liability for Depression, Social Factors and Their Interaction Effect in Depressive Symptoms and Depression Over Time in Older Adults

Journal Article (2020)
Author(s)

N. Stringa (Amsterdam UMC)

Yuri Milaneschi (Amsterdam UMC, GGZ in Geest, Amsterdam)

Natasja M. van Schoor (Amsterdam UMC)

Bianca Suanet (Vrije Universiteit Amsterdam)

S.J. van der Lee (Vrije Universiteit Amsterdam, Amsterdam UMC)

H. Holstege (Vrije Universiteit Amsterdam, Amsterdam UMC)

M.J.T. Reinders (TU Delft - Pattern Recognition and Bioinformatics)

Aartjan T.F. Beekman (GGZ in Geest, Amsterdam, Amsterdam UMC)

Martijn Huisman (Vrije Universiteit Amsterdam, Amsterdam UMC)

Research Group
Pattern Recognition and Bioinformatics
DOI related publication
https://doi.org/10.1016/j.jagp.2020.02.011
More Info
expand_more
Publication Year
2020
Language
English
Research Group
Pattern Recognition and Bioinformatics
Issue number
8
Volume number
28
Pages (from-to)
844-855

Abstract

Objectives: The objectives of this study were to investigate the effect of genetic and social factors on depressive symptoms and depression over time and to test whether social factors moderate the relationship between depressive symptoms and its underlying genetics in later life. Methods: The study included 2,279 participants with a mean follow-up of 15 years from the Longitudinal Aging Study Amsterdam with genotyping data. The personal genetic loading for depression was estimated for each participant by calculating a polygenic risk scores (PRS-D), based on 23,032 single nucleotide polymorphisms associated with major depression in a large genome-wide association study. Partner status, network size, received and given emotional support were assessed via questionnaires and depressive symptoms were assessed using the CES-D Scale. A CES-D Scale of 16 and higher was considered as clinically relevant depression. Results: Higher PRS-D was associated with more depressive symptoms whereas having a partner and having a larger network size were independently associated with less depressive symptoms. After extra adjustment for education, cognitive function and functional limitations, giving more emotional support was also associated with less depressive symptoms. No evidence for gene-environment interaction between PRS-D and social factors was found. Similar results were found for clinically relevant depression. Conclusion: Genetic and social factors are independently associated with depressive symptoms over time in older adults. Strategies that boost social functioning should be encouraged in the general population of older adults regardless of the genetic liability for depression.

No files available

Metadata only record. There are no files for this record.