Spontaneous mouse mutants greatly contributed to our initial understanding of CPHD genetics. The Snell and Jackson mice had GH, prolactin and TSH deficiencies. In the early '90s, mutations in Pit1, which encodes pituitary-specific transcription factor-1, were described in these animals (7,8). This finding quickly led to the detection of mutations in the human homologue gene POU1F1 (previously known as PIT1) with a similar phenotype (9,10). The Ames dwarf mouse, another spontaneous mutant mouse with a similar phenotype, but without mutations in Pit1, had the genetic cause established a little while later: mutations in a paired-like homeodomain transcription factor termed 'Prophet of Pit1' (Prop1) (11). The Ames dwarf phenotype resulted from an apparent failure of initial determination of the Pit1 lineage, required for

No abstract

PROP1 mutations are a prevalent cause of congenital CPHD with OPP, and therefore, PROP1 sequencing must be the first step of molecular investigation in patients with CPHD and OPP, especially in populations with a high frequency of PROP1 mutations. In the absence of mutations, massively parallel sequencing is a promising approach. The high prevalence and diversity of PROP1 mutations is associated with the ethnic background of this cohort.

Background When evaluating peripubertal short stature patients, the interpretation of insulin-like growth factor 1 (IGF-1) levels based on chronological age (CA) can be inaccurate due to the influence of sex steroids and, presently, there is no evidence to support the assessment of IGF-1 values according to bone age (BA) and pubertal status (PS). Our objective was to assess the discriminatory performance of IGF-1 levels based on CA, BA and PS in the diagnosis of growth hormone (GH) deficiency. Methods We evaluated IGF-1 levels from 154 peripubertal short stature patients classified as GH deficient (GHD, n=23) or non-GHD (n=131). IGF-1 was assayed by a chemiluminescent immunometric assay and transformed into standard deviation scores (SDS) according to CA (IGF-1-SDS-CA), BA (IGF-1-SDS-BA) and PS (IGF-1-SDS-PS). Results The performances of IGF-1-SDS-CA, IGF-1-SDS-BA and IGF-1-SDS-PS in the receiver operator characteristics (ROC) curves were similar. There were greater accuracy and specificity of IGF-1-SDS-PS (98.4% and 93.3%, respectively) and IGF-1-SDS-BA (92.7% and 90.1%, respectively) when compared to IGF-1-SDS-CA (65.6% and 69.5%, respectively). The post-test probability of the IGF-1-SDS was also improved when compared to PS and BA – 44.8% (IGF-1-SDS-PS), 16.8% (IGF-1-SDS-BA) and 5.1% (IGF-1-SDS-CA), with similar negative predictive values. Conclusions The evaluation of IGF-1 levels based on CA has a higher sensitivity than those based on BA or PS, which justify its use as a screening tool. Additionally, IGF-1 assessed by PS has the best positive predictive power for GHD diagnosis in peripubertal age and could reduce the necessity of a second GH stimulation test.

Aim Congenital hypopituitarism has an incidence of 1:3500–10,000 births and is defined by the impaired production of pituitary hormones. Early diagnosis has an impact on management and genetic counselling. The clinical and genetic heterogeneity of hypopituitarism poses difficulties to select the order of genes to analyse. The objective of our study is to screen hypopituitarism genes (candidate and previously related genes) simultaneously using a target gene panel in patients with congenital hypopituitarism. Methods Screening of 117 subjects with congenital hypopituitarism for pathogenic variants in 26 genes associated with congenital hypopituitarism by massively parallel sequencing using a customized target gene panel. Results We found three novel pathogenic variants in OTX2 c.295C>T:p.Gln99*, GLI2 c.1681G>T:p.Glu561* and GHRHR c.820_821insC:p.Asp274Alafs*113, and the previously reported variants in GHRHR c.57+1G>A and PROP1 [c.301_302delAG];[c.109+1G>A]. Conclusions Our results indicate that a custom-designed panel is an efficient method to screen simultaneously variants of biological and clinical relevance for congenital GH deficiency. A genetic diagnosis was possible in 5 out of 117 (4%) patients of our cohort. We identified three novel pathogenic variants in GHRHR, OTX2 and GLI2 expanding the spectrum of variants associated with congenital hypopituitarism.