Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias

Abstract Cortisol concentrations in hair are used to create hormone profiles spanning months. This method allows assessment of chronic cortisol exposure, but might be biased by hair pigmentation: dark hair was previously related to higher concentrations. It is unclear whether this association arises...

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Main Authors: Alexander Neumann, Gerard Noppe, Fan Liu, Manfred Kayser, Frank C. Verhulst, Vincent W. V. Jaddoe, Elisabeth F. C. van Rossum, Henning Tiemeier
Format: Article
Language:English
Published: Nature Portfolio 2017-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-07034-w
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author Alexander Neumann
Gerard Noppe
Fan Liu
Manfred Kayser
Frank C. Verhulst
Vincent W. V. Jaddoe
Elisabeth F. C. van Rossum
Henning Tiemeier
author_facet Alexander Neumann
Gerard Noppe
Fan Liu
Manfred Kayser
Frank C. Verhulst
Vincent W. V. Jaddoe
Elisabeth F. C. van Rossum
Henning Tiemeier
author_sort Alexander Neumann
collection DOAJ
description Abstract Cortisol concentrations in hair are used to create hormone profiles spanning months. This method allows assessment of chronic cortisol exposure, but might be biased by hair pigmentation: dark hair was previously related to higher concentrations. It is unclear whether this association arises from local effects, such as increased hormone extractability, or whether the association represents systemic differences arising from population stratification. We tested the hypothesis that hair pigmentation gene variants are associated with varying cortisol levels independent of genetic ancestry. Hormone concentrations and genotype were measured in 1674 children from the Generation R cohort at age 6. We computed a polygenic score of hair color based on 9 single nucleotide polymorphisms. This score was used to predict hair cortisol concentrations, adjusted for genetic ancestry, sex, age and corticosteroid use. A 1-standard deviation (SD) higher polygenic score (darker hair) was associated with 0.08 SD higher cortisol levels (SE = 0.03, p = 0.002). This suggests that variation in hair cortisol concentrations is partly explained by local hair effects. In multi-ancestry studies this hair pigmentation bias can reduce power and confound results. Researchers should therefore consider adjusting analyses by reported hair color, by polygenic scores, or by both.
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spelling doaj.art-ec8037b18b92474cb34047d0e27d0ea22022-12-21T22:56:09ZengNature PortfolioScientific Reports2045-23222017-08-01711810.1038/s41598-017-07034-wPredicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation biasAlexander Neumann0Gerard Noppe1Fan Liu2Manfred Kayser3Frank C. Verhulst4Vincent W. V. Jaddoe5Elisabeth F. C. van Rossum6Henning Tiemeier7Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center RotterdamDepartment of Pediatrics, Erasmus MC University Medical Center RotterdamKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of SciencesDepartment of Genetic Identification, Erasmus MC University Medical Center RotterdamDepartment of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center RotterdamThe Generation R Study Group, Erasmus MC University Medical Center RotterdamDepartment of Internal Medicine, Erasmus MC University Medical Center RotterdamDepartment of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center RotterdamAbstract Cortisol concentrations in hair are used to create hormone profiles spanning months. This method allows assessment of chronic cortisol exposure, but might be biased by hair pigmentation: dark hair was previously related to higher concentrations. It is unclear whether this association arises from local effects, such as increased hormone extractability, or whether the association represents systemic differences arising from population stratification. We tested the hypothesis that hair pigmentation gene variants are associated with varying cortisol levels independent of genetic ancestry. Hormone concentrations and genotype were measured in 1674 children from the Generation R cohort at age 6. We computed a polygenic score of hair color based on 9 single nucleotide polymorphisms. This score was used to predict hair cortisol concentrations, adjusted for genetic ancestry, sex, age and corticosteroid use. A 1-standard deviation (SD) higher polygenic score (darker hair) was associated with 0.08 SD higher cortisol levels (SE = 0.03, p = 0.002). This suggests that variation in hair cortisol concentrations is partly explained by local hair effects. In multi-ancestry studies this hair pigmentation bias can reduce power and confound results. Researchers should therefore consider adjusting analyses by reported hair color, by polygenic scores, or by both.https://doi.org/10.1038/s41598-017-07034-w
spellingShingle Alexander Neumann
Gerard Noppe
Fan Liu
Manfred Kayser
Frank C. Verhulst
Vincent W. V. Jaddoe
Elisabeth F. C. van Rossum
Henning Tiemeier
Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
Scientific Reports
title Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
title_full Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
title_fullStr Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
title_full_unstemmed Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
title_short Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
title_sort predicting hair cortisol levels with hair pigmentation genes a possible hair pigmentation bias
url https://doi.org/10.1038/s41598-017-07034-w
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