Genetic influences on hormonal markers of chronic hypothalamic–pituitary–adrenal function in human hair. Issue 8 (19th January 2017)

• Record Type: Journal Article
• Authors: Tucker-Drob, E. M.; Grotzinger, A. D.; Briley, D. A.; Engelhardt, L. E.; Mann, F. D.; Patterson, M.; Kirschbaum, C.; Adam, E. K.; Church, J. A.; Tackett, J. L.; Harden, K. P.
• Is Part Of: Psychological medicine. Volume 47:Issue 8(2017)
• Page Start: 1389
• Page End: 1401
• Publication Date: 2017-01-19
• Subjects: Cortisol, -- gene–age interaction, -- hair hormones, -- hypothalamic–pituitary–adrenal axis, -- quantitative genetics; Psychiatry -- Periodicals; Medicine and psychology -- Periodicals; Clinical psychology -- Periodicals; 616.89
• DOI: 10.1017/S0033291716003068
• Languages: English
• ISSNs: 0033-2917

Abstract

Abstract : Background: Cortisol is the primary output of the hypothalamic–pituitary–adrenal (HPA) axis and is central to the biological stress response, with wide-ranging effects on psychiatric health. Despite well-studied biological pathways of glucocorticoid function, little attention has been paid to the role of genetic variation. Conventional salivary, urinary and serum measures are strongly influenced by diurnal variation and transient reactivity. Recently developed technology can be used to measure cortisol accumulation over several months in hair, thus indexing chronic HPA function. Method: In a socio-economically diverse sample of 1070 twins/multiples (ages 7.80–19.47 years) from the Texas Twin Project, we estimated effects of sex, age and socio-economic status (SES) on hair concentrations of cortisol and its inactive metabolite, cortisone, along with their interactions with genetic and environmental factors. This is the first genetic study of hair neuroendocrine concentrations and the largest twin study of neuroendocrine concentrations in any tissue type. Results: Glucocorticoid concentrations increased with age for females, but not males. Genetic factors accounted for approximately half of the variation in cortisol and cortisone. Shared environmental effects dissipated over adolescence. Higher SES was related to shallower increases in cortisol with age. SES was unrelated to cortisone, and did not significantly moderate genetic effects on either cortisol or cortisone. Conclusions: Genetic factors account for sizable proportions of glucocorticoid variation across the entire age range examined, whereas shared environmental influences are modest, and only apparent at earlier ages. Chronic glucocorticoid output appears to be more consistently related to biological sex, age and genotype than to experiential factors that cluster within nuclear families.