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

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 loc...

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Autores principales: Neumann, Alexander, Noppe, Gerard, Liu, Fan, Kayser, Manfred, Verhulst, Frank C., Jaddoe, Vincent W. V., van Rossum, Elisabeth F. C., Tiemeier, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561185/
https://www.ncbi.nlm.nih.gov/pubmed/28819144
http://dx.doi.org/10.1038/s41598-017-07034-w
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author Neumann, Alexander
Noppe, Gerard
Liu, Fan
Kayser, Manfred
Verhulst, Frank C.
Jaddoe, Vincent W. V.
van Rossum, Elisabeth F. C.
Tiemeier, Henning
author_facet Neumann, Alexander
Noppe, Gerard
Liu, Fan
Kayser, Manfred
Verhulst, Frank C.
Jaddoe, Vincent W. V.
van Rossum, Elisabeth F. C.
Tiemeier, Henning
author_sort Neumann, Alexander
collection PubMed
description 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 pubmed-55611852017-08-18 Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias Neumann, Alexander Noppe, Gerard Liu, Fan Kayser, Manfred Verhulst, Frank C. Jaddoe, Vincent W. V. van Rossum, Elisabeth F. C. Tiemeier, Henning Sci Rep Article 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. Nature Publishing Group UK 2017-08-17 /pmc/articles/PMC5561185/ /pubmed/28819144 http://dx.doi.org/10.1038/s41598-017-07034-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Neumann, Alexander
Noppe, Gerard
Liu, Fan
Kayser, Manfred
Verhulst, Frank C.
Jaddoe, Vincent W. V.
van Rossum, Elisabeth F. C.
Tiemeier, Henning
Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561185/
https://www.ncbi.nlm.nih.gov/pubmed/28819144
http://dx.doi.org/10.1038/s41598-017-07034-w
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