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X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline

X chromosome genetic variation has been proposed as a potential source of missing heritability for many complex diseases, including obesity. Currently, there is a lack of public available genetic datasets incorporating X chromosome genotype data. Although several X chromosome-specific statistics hav...

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Autores principales: Anguita-Ruiz, Augusto, Plaza-Diaz, Julio, Ruiz-Ojeda, Francisco Javier, Rupérez, Azahara I., Leis, Rosaura, Bueno, Gloria, Gil-Campos, Mercedes, Vázquez-Cobela, Rocío, Cañete, Ramón, Moreno, Luis A., Gil, Ángel, Aguilera, Concepción María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646348/
https://www.ncbi.nlm.nih.gov/pubmed/31332195
http://dx.doi.org/10.1038/s41597-019-0109-3
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author Anguita-Ruiz, Augusto
Plaza-Diaz, Julio
Ruiz-Ojeda, Francisco Javier
Rupérez, Azahara I.
Leis, Rosaura
Bueno, Gloria
Gil-Campos, Mercedes
Vázquez-Cobela, Rocío
Cañete, Ramón
Moreno, Luis A.
Gil, Ángel
Aguilera, Concepción María
author_facet Anguita-Ruiz, Augusto
Plaza-Diaz, Julio
Ruiz-Ojeda, Francisco Javier
Rupérez, Azahara I.
Leis, Rosaura
Bueno, Gloria
Gil-Campos, Mercedes
Vázquez-Cobela, Rocío
Cañete, Ramón
Moreno, Luis A.
Gil, Ángel
Aguilera, Concepción María
author_sort Anguita-Ruiz, Augusto
collection PubMed
description X chromosome genetic variation has been proposed as a potential source of missing heritability for many complex diseases, including obesity. Currently, there is a lack of public available genetic datasets incorporating X chromosome genotype data. Although several X chromosome-specific statistics have been developed, there is also a lack of readily available implementations for routine analysis. Here, we aimed: (1) to make public and describe a dataset incorporating phenotype and X chromosome genotype data from a cohort of 915 normal-weight, overweight and obese children, and (2) to deeply describe a whole implementation of the special X chromosome analytic process in genetics. Datasets and pipelines like this are crucial to get familiar with the steps in which X chromosome requires special attention and may raise awareness of the importance of this genomic region.
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spelling pubmed-66463482019-07-23 X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline Anguita-Ruiz, Augusto Plaza-Diaz, Julio Ruiz-Ojeda, Francisco Javier Rupérez, Azahara I. Leis, Rosaura Bueno, Gloria Gil-Campos, Mercedes Vázquez-Cobela, Rocío Cañete, Ramón Moreno, Luis A. Gil, Ángel Aguilera, Concepción María Sci Data Data Descriptor X chromosome genetic variation has been proposed as a potential source of missing heritability for many complex diseases, including obesity. Currently, there is a lack of public available genetic datasets incorporating X chromosome genotype data. Although several X chromosome-specific statistics have been developed, there is also a lack of readily available implementations for routine analysis. Here, we aimed: (1) to make public and describe a dataset incorporating phenotype and X chromosome genotype data from a cohort of 915 normal-weight, overweight and obese children, and (2) to deeply describe a whole implementation of the special X chromosome analytic process in genetics. Datasets and pipelines like this are crucial to get familiar with the steps in which X chromosome requires special attention and may raise awareness of the importance of this genomic region. Nature Publishing Group UK 2019-07-22 /pmc/articles/PMC6646348/ /pubmed/31332195 http://dx.doi.org/10.1038/s41597-019-0109-3 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Anguita-Ruiz, Augusto
Plaza-Diaz, Julio
Ruiz-Ojeda, Francisco Javier
Rupérez, Azahara I.
Leis, Rosaura
Bueno, Gloria
Gil-Campos, Mercedes
Vázquez-Cobela, Rocío
Cañete, Ramón
Moreno, Luis A.
Gil, Ángel
Aguilera, Concepción María
X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline
title X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline
title_full X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline
title_fullStr X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline
title_full_unstemmed X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline
title_short X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline
title_sort x chromosome genetic data in a spanish children cohort, dataset description and analysis pipeline
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646348/
https://www.ncbi.nlm.nih.gov/pubmed/31332195
http://dx.doi.org/10.1038/s41597-019-0109-3
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