ESPE Abstracts (2016) 86 FC8.2

ESPE2016 Free Communications Growth: Clinical (6 abstracts)

Whole Exome Sequencing can Identify Defects not Detected by Candidate Gene Sequencing in Patients with Short Stature and Features of Growth Hormone Insensitivity (GHI)

Lucy Shapiro , Martin Savage , Kate Davies , Lou Metherell & Helen Storr

Centre for Endocrinology, William Harvey Research Institute, London, UK

Background: GH insensitivity (GHI) encompasses growth failure, low serum IGF-1 and normal/elevated serum growth hormone (GH) (basal level >5 μg/L and/or peak on provocation testing >10 μg/L). In a significant number of children the molecular cause is unknown.

Objective: To investigate the genetic etiology of GHI in a cohort of children by candidate gene (CGS) and whole exome (WES) sequencing.

Methods: About 109 patients (61 M, median age 6.5 yr [range 0.4–17.0]) with a phenotype consistent with GHI (mean height SDS −4.8; mean IGF-1 SDS −2.7) were accepted for genetic investigation since 2008. CGS was undertaken for GH-IGF1 axis [GHR, STAT5B, IGFALS, IGF1] and 3M [CUL7, CCDC8, OBSL1] genes and WES was performed in unsolved cases (to date, 53 patients). A bioinformatic pipeline was developed to interrogate the WES data and identify potential causative genetic variants.

Results: CGS identified homozygous mutations in the following genes in 36 patients: GHR [26], IGFALS [3], OBSL1 [6] and CUL7 [1]. WES identified changes in 13 patients: compound heterozygous IGFALS [1], homozygous GHR [5], heterozygous PTPN11 [2], homozygous CCDC8 [3], homozygous CUL7 [1], and heterozygous SOS1 [1]. 14 of these genetic variants are novel. In two subjects who were small for gestational age (birth weight SDS −2.3 and −1.8) hypomethylation in the imprinting control region 11p15 or mUPD7 was demonstrated confirming Silver Russell Syndrome (SRS). Mining the WES data of patients without a genetic diagnosis identified 24 candidate genes having deleterious variants in more than one GHI patient.

Conclusions: A genetic diagnosis was obtained in 51 (47%) patients. These included 14 novel variants. Importantly, WES identified 13 mutations in known genes, which had not been detected on CGS. Diagnoses with phenotypes overlapping with GHI included SRS, 3M and Noonan syndrome. Variants in novel genes with potential impact on growth have been identified and are under further investigation.

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