000096255 001__ 96255
000096255 005__ 20220525082805.0
000096255 0247_ $$2doi$$a10.1038/s41597-019-0109-3
000096255 0248_ $$2sideral$$a113034
000096255 037__ $$aART-2019-113034
000096255 041__ $$aeng
000096255 100__ $$aAnguita-Ruiz, Augusto
000096255 245__ $$aX chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline
000096255 260__ $$c2019
000096255 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096255 5203_ $$aX 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.
000096255 536__ $$9info:eu-repo/grantAgreement/ES/ISCIII-FEDER/PI051968$$9info:eu-repo/grantAgreement/ES/ISCIII-FEDER/PI1102042$$9info:eu-repo/grantAgreement/ES/ISCIII-FEDER/PI1600871$$9info:eu-repo/grantAgreement/ES/ISCIII/i-PFIS-IFI17-00048$$9info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD12-0026-0015
000096255 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000096255 590__ $$a5.541$$b2019
000096255 591__ $$aMULTIDISCIPLINARY SCIENCES$$b11 / 71 = 0.155$$c2019$$dQ1$$eT1
000096255 592__ $$a3.099$$b2019
000096255 593__ $$aComputer Science Applications$$c2019$$dQ1
000096255 593__ $$aEducation$$c2019$$dQ1
000096255 593__ $$aStatistics, Probability and Uncertainty$$c2019$$dQ1
000096255 593__ $$aLibrary and Information Sciences$$c2019$$dQ1
000096255 593__ $$aStatistics and Probability$$c2019$$dQ1
000096255 593__ $$aInformation Systems$$c2019$$dQ1
000096255 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096255 700__ $$aPlaza-Diaz, Julio
000096255 700__ $$aRuiz-Ojeda, Francisco Javier
000096255 700__ $$0(orcid)0000-0002-3850-8235$$aRuperez, Azahara I.$$uUniversidad de Zaragoza
000096255 700__ $$aLeis, Rosaura
000096255 700__ $$0(orcid)0000-0002-0902-387X$$aBueno, Gloria$$uUniversidad de Zaragoza
000096255 700__ $$aGil-Campos, Mercedes
000096255 700__ $$aVazquez-Cobela, Rocío
000096255 700__ $$aCanete, Ramón
000096255 700__ $$0(orcid)0000-0003-0454-653X$$aMoreno, Luis A.$$uUniversidad de Zaragoza
000096255 700__ $$aGil, Ángel
000096255 700__ $$aAguilera, Concepción María
000096255 7102_ $$11006$$2255$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Enfermería
000096255 7102_ $$11010$$2670$$aUniversidad de Zaragoza$$bDpto. Pediatría Radiol.Med.Fís$$cÁrea Pediatría
000096255 773__ $$g6 (2019), 130 [10 pp]$$pSci. data$$tSCIENTIFIC DATA$$x2052-4463
000096255 8564_ $$s1220298$$uhttps://zaguan.unizar.es/record/96255/files/texto_completo.pdf$$yVersión publicada
000096255 8564_ $$s170835$$uhttps://zaguan.unizar.es/record/96255/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000096255 909CO $$ooai:zaguan.unizar.es:96255$$particulos$$pdriver
000096255 951__ $$a2022-05-25-08:25:08
000096255 980__ $$aARTICLE