ESPE Abstracts

Background: Current data from genome wide association studies (GWAS) explains 24.6% of the variation in adult height from 3290 single nucleotide polymorphisms (SNPs)1. Data on the genetic control of growth velocity during childhood is more limited and no previous studies have linked childhood growth to changes in the transcriptome (gene expression) or epigenome (DNA methylation). Here we present a systems biology approach to understand mid-child...

Background: Currently, data on the diagnostic yield of targeted gene panels using next generation sequencing (NGS) in children with short stature of undefined aetiology (SSUA) are limited. EPIGROW (ClinicalTrials.gov ID NCT00710307) was a prospective European epidemio-genetic study in which a targeted NGS panel including 69 genes associated with short stature (e.g. primordial growth disorders and skeletal dysplasias) was performed in 263 patients and 263 controls. In these pat...

Introduction: Congenital hyperinsulinism (CHI) is the most common cause of hypoglycaemia in infancy caused by dysregulated insulin secretion. The management of severe hypoglycaemia often requires the administration of high dextrose-containing fluids through a central venous catheter (CVC). However, CVCs carry the risk of complications including thrombosis. We sought to determine the incidence of CVC-associated thrombosis in patients with CHI and examine associated risk factors...

Background: The phases of human growth are associated with gene expression (GE) changes1, raising the possibility that rhythmic patterns of GE occur throughout childhood.Objective: In this study, we have assessed time-series patterns of GE profiles associated with age to characterise oscillations.Methods: GE analysis was conducted on cells of lymphoid origin from normal individuals through childhood (n=87, 43 ma...

Background: GH response is influenced by genetic polymorphisms, including the rs1024531 polymorphism (A/G) in the promoter region of GRB10, a negative regulator of signaling through the IGF1 receptor. Allele A is associated with borderline lower baseline IGF1 SDS and 1.5-fold higher response to GH compared to allele G in children with GHD (P=0.0006).Objective: To test functional impact of the rs1024531 polymorphism in an in vitro</e...

Background: Single nucleotide polymorphisms (SNPs) associated with the response to GH therapy have previously been identified in growth hormone deficient (GHD) children in the PREDICT long-term follow-up (LTFU) study (NCT00699855).Objective and hypotheses: To assess the effect of GHD severity on the predictive value of genetic markers of growth response.Method: We used pre-pubertal GHD children (peak GH <10 μg/l) from the ...

Background: Congenital leptin deficiency (CLD) is characterized by severe early-onset obesity due to hyperphagia and impaired satiety. The impact of obesity in obstructive sleep apnoea hypopnoea syndrome (OSAHS) was originally reported as mechanical, but recent data suggest that adipokines may influence central ventilation. We highlight that treatment with recombinant human leptin (RHL) in CLD with OSAHS improves ventilation before weight loss.Case prese...

Background: GH deficiency (GHD) is classically defined on the basis of a cut-off applied to the peak GH level during stimulation tests; a process with recognised limitations. Identifying the functional role of genes whose expression is associated with pGH may help with our understanding and classification of GHD.Objective and hypotheses: Identify patterns of gene expression (GE) related to pGH and to describe the function, and regulation of these genes.<...

Background: Response to GH treatment has been associated with single nucleotide polymorphisms (SNPs) within the promoter region of growth-related genes including GRB10 (rs1024531 (A/G, allele A increased response)), IGFBP3 (rs3110697 (G/A, G increased response)), CYP19A1 (rs10459592 (T/C, T increased response)) and SOS1 (rs2888586 (G/C, C increased response)). SOS1 is a positive regulator of GH signalling (MAPK pathway); the aromatase CYP19A1 promotes oestrogen synthesis to im...

Background: Prediction of response to recombinant GH (r-GH) is currently based on regression modelling. This approach generates a prediction equation which can be applied to data from an individual child. However this method can underestimate the effect of inter-dependent variables. Random forest classification (RFC) is an alternative prediction method based on decision trees that is not sensitive to the relationships between variables.Objective and hypo...