Whole-genome analysis as a diagnostic tool for patients referred for diagnosis of Silver-Russell syndrome: a real-world study.
Autor: | Alhendi ASN; Human Genetics and Genomic Medicine, Faculty of Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Lim D; Department of Clinical Genetics, Birmingham Women's and Children's Hospital, Birmingham, UK., McKee S; Department of Genetic Medicine, Belfast City Hospital, Belfast, UK., McEntagart M; Department of Clinical Genetics, St George's Healthcare NHS Trust, London, UK., Tatton-Brown K; Department of Clinical Genetics, St George's Healthcare NHS Trust, London, UK., Temple IK; Human Genetics and Genomic Medicine, Faculty of Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Davies JH; Human Genetics and Genomic Medicine, Faculty of Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Mackay DJG; Human Genetics and Genomic Medicine, Faculty of Medicine, University Hospital Southampton NHS Foundation Trust, Southampton, UK djgm@soton.ac.uk.; Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK. |
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Jazyk: | angličtina |
Zdroj: | Journal of medical genetics [J Med Genet] 2022 Jun; Vol. 59 (6), pp. 613-622. Date of Electronic Publication: 2021 Jun 16. |
DOI: | 10.1136/jmedgenet-2021-107699 |
Abstrakt: | 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. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.) |
Databáze: | MEDLINE |
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