Polygenic Scores for Education, Health, and Personality as Predictors of Subjective Age Among Older Individuals of European Ancestry: Evidence From the Health and Retirement Study

The present study aimed to identify whether polygenic scores (PGSs) for education, health and psychological factors are related to subjective age in a large sample of older adults. Participants were 7,763 individuals of European ancestry (57% women, Mean age = 69.15, SD = 10.18) from the Health and Retirement Study who were genotyped and provided subjective age data. Higher PGSs for educational achievement and well-being were related to a younger subjective age, whereas higher PGSs for neuroticism, body mass index, waist circumference, and depressive symptoms were associated with an older subjective age. This study provides new evidence on the potential genetic underpinnings of subjective age.

[1]  A. Terracciano,et al.  Subjective Age and Mortality in Three Longitudinal Samples , 2018, Psychosomatic medicine.

[2]  Robert Plomin,et al.  The new genetics of intelligence , 2018, Nature Reviews Genetics.

[3]  M. Diehl,et al.  How do views on aging affect health outcomes in adulthood and late life? Explanations for an established connection. , 2017, Developmental review : DR.

[4]  H. Wahl,et al.  Feeling Sad Makes Us Feel Older: Effects of a Sad-Mood Induction on Subjective Age , 2017, Psychology and aging.

[5]  T. Hess,et al.  Context Influences on the Relationship Between Views of Aging and Subjective Age: The Moderating Role of Culture and Domain of Functioning , 2017, Psychology and aging.

[6]  A. Kornadt,et al.  Genetic and Environmental Sources of Individual Differences in Views on Aging , 2017, Psychology and aging.

[7]  Christopher R. Gignoux,et al.  Human demographic history impacts genetic risk prediction across diverse populations , 2016, bioRxiv.

[8]  T. Esko,et al.  Educational Attainment and Personality Are Genetically Intertwined , 2016, bioRxiv.

[9]  A. Terracciano,et al.  Feeling Older and the Development of Cognitive Impairment and Dementia , 2016, The journals of gerontology. Series B, Psychological sciences and social sciences.

[10]  A. Terracciano,et al.  Subjective Age and Changes in Memory in Older Adults. , 2016, The journals of gerontology. Series B, Psychological sciences and social sciences.

[11]  M. Lachman,et al.  Social Comparisons of Health and Cognitive Functioning Contribute to Changes in Subjective Age , 2016, The journals of gerontology. Series B, Psychological sciences and social sciences.

[12]  Jonathan P. Beauchamp,et al.  Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses , 2016, Nature Genetics.

[13]  Jonathan P. Beauchamp,et al.  Genome-wide association study identifies 74 loci associated with educational attainment , 2016, Nature.

[14]  L. Bierut,et al.  Genome-wide polygenic scores for age at onset of alcohol dependence and association with alcohol-related measures , 2016, Translational Psychiatry.

[15]  A. Terracciano,et al.  Feeling older and risk of hospitalization: Evidence from three longitudinal cohorts. , 2016, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[16]  M. Diehl,et al.  Examination of Associations Among Three Distinct Subjective Aging Constructs and Their Relevance for Predicting Developmental Correlates , 2015, The journals of gerontology. Series B, Psychological sciences and social sciences.

[17]  Y. Stephan,et al.  Looking Beyond Chronological Age: Current Knowledge and Future Directions in the Study of Subjective Age , 2015, Gerontology.

[18]  Yannick Stephan,et al.  How Old Do You Feel? The Role of Age Discrimination and Biological Aging in Subjective Age , 2015, PloS one.

[19]  Ross M. Fraser,et al.  Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.

[20]  A Hofman,et al.  Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949) , 2015, Molecular Psychiatry.

[21]  I. Rippon,et al.  Feeling old vs being old: associations between self-perceived age and mortality. , 2015, JAMA internal medicine.

[22]  Tamara S. Roman,et al.  New genetic loci link adipose and insulin biology to body fat distribution , 2014, Nature.

[23]  J. Montepare,et al.  The influence of subjective aging on health and longevity: a meta-analysis of longitudinal data. , 2014, Psychology and aging.

[24]  Ross M. Fraser,et al.  Defining the role of common variation in the genomic and biological architecture of adult human height , 2014, Nature Genetics.

[25]  C. Spencer,et al.  Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.

[26]  S. Purcell,et al.  Pleiotropy in complex traits: challenges and strategies , 2013, Nature Reviews Genetics.

[27]  M. Daly,et al.  Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis , 2013, The Lancet.

[28]  F. Dudbridge.  Power and Predictive Accuracy of Polygenic Risk Scores , 2013, PLoS genetics.

[29]  T. Hess,et al.  The impact of age stereotypes on self-perceptions of aging across the adult lifespan. , 2012, The journals of gerontology. Series B, Psychological sciences and social sciences.

[30]  A. Terracciano,et al.  Personality, self-rated health, and subjective age in a life-span sample: the moderating role of chronological age. , 2012, Psychology and aging.

[31]  M. Lachman,et al.  Factorial structure and age-related psychometrics of the MIDUS personality adjective items across the life span. , 2012, Psychological assessment.

[32]  C. Keyes,et al.  Chronological and subjective age differences in flourishing mental health and major depressive episode , 2012, Aging & mental health.

[33]  Lorna M. Lopez,et al.  The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data , 2011, Translational Psychiatry.

[34]  G. Abecasis,et al.  Genome-wide association scan for five major dimensions of personality , 2010, Molecular Psychiatry.

[35]  Ming D. Li,et al.  Genome-wide meta-analyses identify multiple loci associated with smoking behavior , 2010, Nature Genetics.

[36]  David Reich,et al.  Discerning the Ancestry of European Americans in Genetic Association Studies , 2007, PLoS genetics.

[37]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[38]  F. Neto.  The Satisfaction With Love Life Scale , 2005 .

[39]  L. Excoffier.  Human demographic history: refining the recent African origin model. , 2002, Current opinion in genetics & development.

[40]  Anita M. Hubley,et al.  The Relationship of Personality Trait Variables to Subjective Age Identity in Older Adults , 1994 .

[41]  Dawn Iacobucci,et al.  Introduction to Mediation , 2019, Mediation Theory and Practice.

[42]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .