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Whole-genome analysis as a diagnostic tool for patients referred for diagnosis of Silver-Russell syndrome: a real-world study.

Authors :
Alhendi, Ahmed S. N.
Lim, Derek
McKee, Shane
McEntagart, Meriel
Tatton-Brown, Katriona
Temple, I. Karen
Davies, Justin H.
Mackay, Deborah J. G.
Source :
Journal of Medical Genetics; Jun2022, Vol. 59 Issue 6, p613-622, 10p
Publication Year :
2022

Abstract

Background Silver-Russell syndrome (SRS) is an imprinting disorder characterised by prenatal and postnatal growth restriction, but its clinical features are non-specific and its differential diagnosis is broad. Known molecular causes of SRS include imprinting disturbance, single nucleotide variant (SNV), CNV or UPD affecting several genes; however, up to 40% of individuals with a clinical diagnosis of SRS currently receive no positive molecular diagnosis. Methods To determine whether whole-genome sequencing (WGS) could uncover pathogenic variants missed by current molecular testing, we analysed data of 72 participants recruited to the 100,000 Genomes Project within the clinical category of SRS. Results In 20 participants (27% of the cohort) we identified genetic variants plausibly accounting for SRS. Coding SNVs were identified in genes including CDKN1C, IGF2, IGF1R and ORC1. Maternal-effect variants were found in mothers of five participants, including two participants with imprinting disturbance and one with multilocus imprinting disorder. Two regions of homozygosity were suggestive of UPD involving imprinted regions implicated in SRS and Temple syndrome, and three plausibly pathogenic CNVs were found, including a paternal deletion of PLAGL1. In 48 participants with no plausible pathogenic variant, unbiased analysis of SNVs detected a potential association with STX4. Conclusion WGS analysis can detect UPD, CNV and SNV and is potentially a valuable addition to diagnosis of SRS and related growth-restricting disorders. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00222593
Volume :
59
Issue :
6
Database :
Complementary Index
Journal :
Journal of Medical Genetics
Publication Type :
Academic Journal
Accession number :
157675067
Full Text :
https://doi.org/10.1136/jmedgenet-2021-107699