Endocrine Abstracts

SLDP is where the onset of puberty is more than 2-2.5 standard deviations later than the population mean age and is often familial with strong genetic determinants. The reproductive axis is regulated by gonadotropin-releasing hormone (GnRH), which plays a crucial role in initiating puberty and maintaining fertility through its pulsatile secretion. Disruption in GnRH neuron development or hypothalamic function can lead to DP. UK Biobank data has identified negative health outcomes associated with SLDP including early menopause/andropause and cognitive and psychosocial disabilities. Consequently, there has been extensive research to investigate genes affecting the hypothalamic-pituitary-gonadal (HPG) axis that might be implicated in the pathogenesis of DP by our group and others which has identified sequence variation contributing to the aetiology of SLDP. However, factors beyond nucleotide variations, such as epigenetic changes and CNVs can also lead to pubertal timing disorders. Moreover, CNVs are seen in multiple individuals (n = 92) from the Deciphering Developmental Disorders study (https://www.deciphergenomics.org) with a phenotype including DP (HP:0000823). We performed whole genome sequencing on 49 probands with SLDP and subsequently, analysed the data for CNV. The data was initially called, annotated, filtered then partitioned for classification of CNVs using a command-line tool that implements the ACMG guidelines to evaluate the pathogenicity of germline duplications and deletions. Using an unbiased candidate gene approach, we identified several deletions that affected 60 known/predicted dosage sensitive genes and combines with functional enrichment analysis; This approach revealed potential molecular pathways and biological processes involved in the pathogenesis of SLDP, including neural plate and embryo developments. To refine our findings, we applied additional filters, including known HPG axis genes, GWAS loci associated with pubertal timing, DP gene panels and GnRH neurons RNA sequencing data, to narrow down large number of rare predicted damaging CNVs and prioritize those with potential relevance to DP.