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Anguita-Ruiz, A.* ; Plaza-Díaz, J.* ; Ruiz Ojeda, F.J. ; Rupérez, A.I.* ; Leis, R.* ; Bueno, G.* ; Gil-Campos, M.* ; Vázquez-Cobela, R.* ; Cañete, R.* ; Moreno, L.A.* ; Gil, A.* ; Aguilera, C.M.*

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

Sci. Data 6:130 (2019)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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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Publication type Article: Journal article
Document type Scientific Article
Keywords Genome-wide Association; Dna Methylation; Inactivation; Expression; Obesity; Tests; Overweight; Landscape; Markers; Weight
Language english
Publication Year 2019
HGF-reported in Year 2019
ISSN (print) / ISBN 2052-4463
e-ISSN 2052-4463
Journal Scientific Data
Quellenangaben Volume: 6, Issue: 1, Pages: , Article Number: 130 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Diabetes and Obesity (IDO)
POF-Topic(s) 30502 - Diabetes: Pathophysiology, Prevention and Therapy
Research field(s) Helmholtz Diabetes Center
PSP Element(s) G-553400-001
DOI 10.1038/s41597-019-0109-3
WOS ID WOS:000477758100003
Scopus ID 85088246799
PubMed ID 31332195
Erfassungsdatum 2019-08-05
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