2019
DOI: 10.1038/s41597-019-0109-3
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X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline

Abstract: 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… Show more

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Cited by 6 publications
(12 citation statements)
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“…After that, we decide to characterize the asthmatic cohort with respect to non-asthmatic children, using a well-known cohort [ 22 ]. The clinical, biochemical, and inflammatory biomarkers in the BIOASMA cohort compared to the control population are summarized in Table 3 .…”
Section: Resultsmentioning
confidence: 99%
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“…After that, we decide to characterize the asthmatic cohort with respect to non-asthmatic children, using a well-known cohort [ 22 ]. The clinical, biochemical, and inflammatory biomarkers in the BIOASMA cohort compared to the control population are summarized in Table 3 .…”
Section: Resultsmentioning
confidence: 99%
“…A total of 104 non-asthmatic children (30 normal-weight, 18 overweight, and 56 obese children) recruited in the Hospital Reina Sofia of Cordoba, described elsewhere [22] were used as a control group to determine the main basal biochemical and anthropometric differences between allergic asthmatic and non-asthmatic children.…”
Section: Study Design and Subjectsmentioning
confidence: 99%
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“…In order to demonstrate how the pGRS can quantify inherited susceptibility to obesity, and its cardio-metabolic comorbidities, we counted on a cross-sectional cohort of Spanish children. This cohort was referred to as study population 1 and is based on a previously conducted case-control multicentre cross-sectional design ( Figure 1 A) [ 26 , 27 ]. Among all available participants from the previous work ( N = 1699), current genetic analyses were performed in a subset population of 574 children (293 girls) who had good quality DNA samples.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, the IR status was defined by means of the homeostatic model assessment for insulin resistance (HOMA-IR) index. Since HOMA-IR strongly varies with age, sex and diseases [31], and since no reference values have been yet established in neither children nor adult populations [31,32], cut-off points were extracted from a previous well-described Spanish cohort composed of 1669 children and adolescents [27,33]. For the prepubertal stage, a single cut-off value of HOMA-IR ≥ 2.5 was considered for IR [26,33].…”
Section: Study Population 2: Longitudinal Approachmentioning
confidence: 99%