Abstract
Context
Silver–Russell Syndrome (SRS) is a growth retardation disorder characterized by pre- and postnatal growth failure, relative macrocephaly at birth, prominent forehead, body asymmetry, and feeding difficulties. The main molecular mechanisms are imprinting alterations at multiple loci, though a small number of pathogenic variants have been reported in the SRS genes IGF2-PLAG1-HMGA2 and CDKN1C. However, around 40% of clinically suspected SRS cases do not achieve a molecular diagnosis, highlighting the necessity to uncover the underlying mechanism in unsolved cases.
Objective
Evaluate the frequency of genetic variants in undiagnosed SRS patients [Netchine–Harbison Clinical Scoring System (NH-CSS) ≥ 4], and investigate whether (epi)genetic patients may be distinguished from genetic patients.
Methods
One hundred thirty-two clinically SRS patients without (epi)genetic deregulations were investigated by whole-exome (n = 15) and targeted (n = 117) Sequencing. Clinical data from our cohort and from an extensive revision of the literature were compared.
Results
Pathogenic variants were identified in 9.1% of this cohort: 3% in IGF2, PLAG1, and HMGA2 genes and 3% in the IGF1R gene, associated with IGF-1 resistance (IGF1RES), an SRS differential diagnosis. Overall, IGF2-PLAG1-HMGA2 and IGF1R account for 3.6% of SRS with NH-CSS score ≥ 4. A clinical cross-comparison of (epi)genetic vs genetic SRS underlined (epi)genotype-phenotype correlation highlighted the prevalence of body asymmetry and relative macrocephaly in mosaic (epi)genetic SRS and recurrence of genetic familial cases. Furthermore, overlapping features were evidenced in (epi)genetic SRS and IGF1RES patients.
Conclusion
Our study explores the frequency of genetic SRS, underscores body asymmetry as a distinctive phenotype in (epi)genetic SRS and suggests IGF1R sequencing in a SRS diagnostic flowchart.
Overview publication
Title | Distinguishing Genetic Alterations Versus (Epi)Mutations in Silver–Russell Syndrome and Focus on the IGF1R Gene |
Date | October 16th, 2024 |
Issue name | The Journal of Clinical Endocrinology & Metabolism |
Issue number | doi:10.1210/clinem/dgae730 |
DOI | 10.1210/clinem/dgae730 |
Authors | |
MTGs | MTG5 |
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