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The effect of X-linked dosage compensation on complex trait variation
Quantitative genetics theory predicts that X-chromosome dosage compensation (DC) will have a detectable effect on the amount of genetic and therefore phenotypic trait variances at associated loci in males and females. Here, we systematically examine the role of DC in humans in 20 complex traits in a...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614401/ https://www.ncbi.nlm.nih.gov/pubmed/31285442 http://dx.doi.org/10.1038/s41467-019-10598-y |
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author | Sidorenko, Julia Kassam, Irfahan Kemper, Kathryn E. Zeng, Jian Lloyd-Jones, Luke R. Montgomery, Grant W. Gibson, Greg Metspalu, Andres Esko, Tonu Yang, Jian McRae, Allan F. Visscher, Peter M. |
author_facet | Sidorenko, Julia Kassam, Irfahan Kemper, Kathryn E. Zeng, Jian Lloyd-Jones, Luke R. Montgomery, Grant W. Gibson, Greg Metspalu, Andres Esko, Tonu Yang, Jian McRae, Allan F. Visscher, Peter M. |
author_sort | Sidorenko, Julia |
collection | PubMed |
description | Quantitative genetics theory predicts that X-chromosome dosage compensation (DC) will have a detectable effect on the amount of genetic and therefore phenotypic trait variances at associated loci in males and females. Here, we systematically examine the role of DC in humans in 20 complex traits in a sample of more than 450,000 individuals from the UK Biobank and 1600 gene expression traits from a sample of 2000 individuals as well as across-tissue gene expression from the GTEx resource. We find approximately twice as much X-linked genetic variation across the UK Biobank traits in males (mean h(2)(SNP) = 0.63%) compared to females (mean h(2)(SNP) = 0.30%), confirming the predicted DC effect. Our DC estimates for complex traits and gene expression are consistent with a small proportion of genes escaping X-inactivation in a trait- and tissue-dependent manner. Finally, we highlight examples of biologically relevant X-linked heterogeneity between the sexes that bias DC estimates if unaccounted for. |
format | Online Article Text |
id | pubmed-6614401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66144012019-07-10 The effect of X-linked dosage compensation on complex trait variation Sidorenko, Julia Kassam, Irfahan Kemper, Kathryn E. Zeng, Jian Lloyd-Jones, Luke R. Montgomery, Grant W. Gibson, Greg Metspalu, Andres Esko, Tonu Yang, Jian McRae, Allan F. Visscher, Peter M. Nat Commun Article Quantitative genetics theory predicts that X-chromosome dosage compensation (DC) will have a detectable effect on the amount of genetic and therefore phenotypic trait variances at associated loci in males and females. Here, we systematically examine the role of DC in humans in 20 complex traits in a sample of more than 450,000 individuals from the UK Biobank and 1600 gene expression traits from a sample of 2000 individuals as well as across-tissue gene expression from the GTEx resource. We find approximately twice as much X-linked genetic variation across the UK Biobank traits in males (mean h(2)(SNP) = 0.63%) compared to females (mean h(2)(SNP) = 0.30%), confirming the predicted DC effect. Our DC estimates for complex traits and gene expression are consistent with a small proportion of genes escaping X-inactivation in a trait- and tissue-dependent manner. Finally, we highlight examples of biologically relevant X-linked heterogeneity between the sexes that bias DC estimates if unaccounted for. Nature Publishing Group UK 2019-07-08 /pmc/articles/PMC6614401/ /pubmed/31285442 http://dx.doi.org/10.1038/s41467-019-10598-y Text en © The Author(s) 2019 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 Sidorenko, Julia Kassam, Irfahan Kemper, Kathryn E. Zeng, Jian Lloyd-Jones, Luke R. Montgomery, Grant W. Gibson, Greg Metspalu, Andres Esko, Tonu Yang, Jian McRae, Allan F. Visscher, Peter M. The effect of X-linked dosage compensation on complex trait variation |
title | The effect of X-linked dosage compensation on complex trait variation |
title_full | The effect of X-linked dosage compensation on complex trait variation |
title_fullStr | The effect of X-linked dosage compensation on complex trait variation |
title_full_unstemmed | The effect of X-linked dosage compensation on complex trait variation |
title_short | The effect of X-linked dosage compensation on complex trait variation |
title_sort | effect of x-linked dosage compensation on complex trait variation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614401/ https://www.ncbi.nlm.nih.gov/pubmed/31285442 http://dx.doi.org/10.1038/s41467-019-10598-y |
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