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Multicohort analysis of the maternal age effect on recombination
Several studies have reported that the number of crossovers increases with maternal age in humans, but others have found the opposite. Resolving the true effect has implications for understanding the maternal age effect on aneuploidies. Here, we revisit this question in the largest sample to date us...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580993/ https://www.ncbi.nlm.nih.gov/pubmed/26242864 http://dx.doi.org/10.1038/ncomms8846 |
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author | Martin, Hilary C. Christ, Ryan Hussin, Julie G. O'Connell, Jared Gordon, Scott Mbarek, Hamdi Hottenga, Jouke-Jan McAloney, Kerrie Willemsen, Gonnecke Gasparini, Paolo Pirastu, Nicola Montgomery, Grant W. Navarro, Pau Soranzo, Nicole Toniolo, Daniela Vitart, Veronique Wilson, James F. Marchini, Jonathan Boomsma, Dorret I. Martin, Nicholas G. Donnelly, Peter |
author_facet | Martin, Hilary C. Christ, Ryan Hussin, Julie G. O'Connell, Jared Gordon, Scott Mbarek, Hamdi Hottenga, Jouke-Jan McAloney, Kerrie Willemsen, Gonnecke Gasparini, Paolo Pirastu, Nicola Montgomery, Grant W. Navarro, Pau Soranzo, Nicole Toniolo, Daniela Vitart, Veronique Wilson, James F. Marchini, Jonathan Boomsma, Dorret I. Martin, Nicholas G. Donnelly, Peter |
author_sort | Martin, Hilary C. |
collection | PubMed |
description | Several studies have reported that the number of crossovers increases with maternal age in humans, but others have found the opposite. Resolving the true effect has implications for understanding the maternal age effect on aneuploidies. Here, we revisit this question in the largest sample to date using single nucleotide polymorphism (SNP)-chip data, comprising over 6,000 meioses from nine cohorts. We develop and fit a hierarchical model to allow for differences between cohorts and between mothers. We estimate that over 10 years, the expected number of maternal crossovers increases by 2.1% (95% credible interval (0.98%, 3.3%)). Our results are not consistent with the larger positive and negative effects previously reported in smaller cohorts. We see heterogeneity between cohorts that is likely due to chance effects in smaller samples, or possibly to confounders, emphasizing that care should be taken when interpreting results from any specific cohort about the effect of maternal age on recombination. |
format | Online Article Text |
id | pubmed-4580993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45809932016-02-05 Multicohort analysis of the maternal age effect on recombination Martin, Hilary C. Christ, Ryan Hussin, Julie G. O'Connell, Jared Gordon, Scott Mbarek, Hamdi Hottenga, Jouke-Jan McAloney, Kerrie Willemsen, Gonnecke Gasparini, Paolo Pirastu, Nicola Montgomery, Grant W. Navarro, Pau Soranzo, Nicole Toniolo, Daniela Vitart, Veronique Wilson, James F. Marchini, Jonathan Boomsma, Dorret I. Martin, Nicholas G. Donnelly, Peter Nat Commun Article Several studies have reported that the number of crossovers increases with maternal age in humans, but others have found the opposite. Resolving the true effect has implications for understanding the maternal age effect on aneuploidies. Here, we revisit this question in the largest sample to date using single nucleotide polymorphism (SNP)-chip data, comprising over 6,000 meioses from nine cohorts. We develop and fit a hierarchical model to allow for differences between cohorts and between mothers. We estimate that over 10 years, the expected number of maternal crossovers increases by 2.1% (95% credible interval (0.98%, 3.3%)). Our results are not consistent with the larger positive and negative effects previously reported in smaller cohorts. We see heterogeneity between cohorts that is likely due to chance effects in smaller samples, or possibly to confounders, emphasizing that care should be taken when interpreting results from any specific cohort about the effect of maternal age on recombination. Nature Publishing Group 2015-08-05 /pmc/articles/PMC4580993/ /pubmed/26242864 http://dx.doi.org/10.1038/ncomms8846 Text en Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Martin, Hilary C. Christ, Ryan Hussin, Julie G. O'Connell, Jared Gordon, Scott Mbarek, Hamdi Hottenga, Jouke-Jan McAloney, Kerrie Willemsen, Gonnecke Gasparini, Paolo Pirastu, Nicola Montgomery, Grant W. Navarro, Pau Soranzo, Nicole Toniolo, Daniela Vitart, Veronique Wilson, James F. Marchini, Jonathan Boomsma, Dorret I. Martin, Nicholas G. Donnelly, Peter Multicohort analysis of the maternal age effect on recombination |
title | Multicohort analysis of the maternal age effect on recombination |
title_full | Multicohort analysis of the maternal age effect on recombination |
title_fullStr | Multicohort analysis of the maternal age effect on recombination |
title_full_unstemmed | Multicohort analysis of the maternal age effect on recombination |
title_short | Multicohort analysis of the maternal age effect on recombination |
title_sort | multicohort analysis of the maternal age effect on recombination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580993/ https://www.ncbi.nlm.nih.gov/pubmed/26242864 http://dx.doi.org/10.1038/ncomms8846 |
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