Silver-Russell Syndrome (SRS) is a clinical diagnosis requiring the fulfilment of ≥4/6 Netchine-Harbison Clinical Scoring System (NH-CSS) criteria. A score of ≥4/6 (or ≥3/6 with strong clinical suspicion) NH-CSS warrants (epi)genetic confirmation as an underlying cause can be identified in ∼60% patients. The approach to the investigation and diagnosis of SRS is detailed in the only international consensus guidance, published in 2016. In the intervening years, the clinical, biochemical, and (epi)genetic characteristics of SRS have rapidly expanded, largely attributable to advancing molecular genetic techniques and a greater awareness of related disorders. The commonest etiologies of SRS remain loss of methylation of chromosome 11p15 (11p15LOM) and maternal uniparental disomy of chromosome 7 (upd(7)mat). Rarer causes of SRS include monogenic pathogenic variants in imprinted (CDKN1C and IGF2) and non-imprinted (PLAG1 and HMGA2) genes. Although the age-specific NH-CSS can identify commoner molecular causes of SRS, its use in identifying monogenic causes is unclear. Preliminary data suggest NH-CSS is poor at identifying many of these cases. Additionally, there has been increased recognition of conditions with phenotypes overlapping with SRS that may fulfil NH-CSS criteria but have distinct genetic aetiologies and disease trajectories. This group of conditions is frequently overlooked and under-investigated, leading to no or delayed diagnosis. Like SRS, these conditions are multisystem disorders requiring multidisciplinary care and tailored management strategies. Early identification is crucial to improve outcomes and reduce the major burden of the diagnostic odyssey for patients and families. This article aims to enable clinicians to identify key features of rarer causes of SRS and conditions with overlapping phenotypes, show a logical approach to the molecular investigation and highlight the differences in clinical management strategies.

Silver-Russell syndrome (SRS) is a representative imprinting disorder characterized by pre- and postnatal growth failure. We encountered two Japanese SRS cases with a de novo pathogenic frameshift variant of HMGA2 (NM_003483.6:c.138_141delinsCT, p.(Lys46Asnfs*16)) and a de novo ~ 3.4 Mb microdeletion at 12q14.2-q15 involving HMGA2, respectively. Furthermore, we compared clinical features in previously reported patients with various genetic conditions leading to compromised IGF2 expression, i.e., HMGA2 aberrations, PLAG1 aberrations, IGF2 aberrations, and H19/IGF2:IG-DMR epimutations (hypomethylations). The results provide further support for HMGA2 being involved in the development of SRS and imply some characteristic features in patients with HMGA2 aberrations.

Silver-Russell syndrome (SRS) is a well-known syndrome but with heterogeneous etiologies. We present the case of a child with severe SRS-like features resulting from a complex rearrangement of chromosome 11 inherited from his mother. We studied the index case with karyotyping, MS-MLPA and molecular karyotyping. The mother was studied with karyotyping and subtelomeric FISH. We found a child with marked developmental delay and fatal outcome due to failure to thrive, carrying an 11p15 duplication and an 11q25 deletion of maternal origin. We discovered that the mother was a carrier of a pericentric inversion of chromosome 11, with a history of recurrence in other family members who had severe growth retardation and early death. To our knowledge, no similar SRS-like cases have been described in the literature. This report supports the importance of identification the causative genetic mechanism in SRS-like individuals with duplication in 11p15 region due to high risk of recurrence and to provide an appropriate genetic counseling to the family.

Silver-Russell syndrome (SRS, OMIM, 180860) is a rare genetic disorder with a wide spectrum of symptoms. The most common features are intrauterine growth retardation (IUGR), poor postnatal development, macrocephaly, triangular face, prominent forehead, body asymmetry, and feeding problems. The diagnosis of SRS is based on a combination of clinical features. Up to 60% of SRS patients have chromosome 7 or 11 abnormalities, and <1% show abnormalities in IGF2 signaling pathway genes (IGF2, HMGA2, PLAG1 and CDKN1C). The underlying genetic cause remains unknown in about 40% of cases (idiopathic SRS). We report a novel IGF2 variant c.[-6-2A>G] (NM_000612) in a child with severe IUGR and clinical features of SRS and confirm the utility of targeted exome sequencing in patients with negative results to common genetic analyses. In addition, we report that long-term growth hormone treatment improves height SDS in this patient.

BACKGROUND: Nonallelic homologous recombination (NAHR) of segmental duplications or low copy repeats (LCRs) result in DNA gain/loss and play an important role in the origin of genomic disorders.
METHODS: A 3-year- old boy was referred for genetic analysis. Comparative genomic hybridization array analysis revealed a loss of 3776 kb in the 4p16.3 chromosomal region and a gain of 3201 kb in the 11p15.5p15.4 chromosomal region.
CONCLUSIONS: Genomic imbalances caused by NAHR in LCRs result in deletion and duplication syndromes.

Silver-Russell syndrome (SRS) is a heterogeneous disorder characterized by intrauterine and postnatal growth retardation. HMGA2 variants are a rare cause of SRS and its functional role in human linear growth is unclear. Patients with suspected SRS negative for 11p15LOM/mUPD7 underwent whole-exome and/or targeted-genome sequencing. Mutant HMGA2 protein expression and nuclear localization were assessed. Two Hmga2-knockin mouse models were generated. Five clinical SRS patients harbored HMGA2 variants with differing functional impacts: 2 stop-gain nonsense variants (c.49G>T, c.52C>T), c.166A>G missense variant, and 2 frameshift variants (c.144delC, c.145delA) leading to an identical, extended-length protein. Phenotypic features were highly variable. Nuclear localization was reduced/absent for all variants except c.166A>G. Homozygous knockin mice recapitulating the c.166A>G variant (Hmga2K56E) exhibited a growth-restricted phenotype. An Hmga2Ter76-knockin mouse model lacked detectable full-length Hmga2 protein, similarly to patient 3 and 5 variants. These mice were infertile, with a pygmy phenotype. We report a heterogeneous group of individuals with SRS harboring variants in HMGA2 and describe the first Hmga2 missense knockin mouse model (Hmga2K56E) to our knowledge causing a growth-restricted phenotype. In patients with clinical features of SRS but negative genetic screening, HMGA2 should be included in next-generation sequencing testing approaches.

SRS is classified as a rare syndrome with an estimated incidence of 1 in 30.000/100.000 [Christoforidis A. et al., 2005]. It\'s a clinically and genetically heterogeneous disorder that presents a very wide phenotypic range. Due to its heterogeneity, SRS diagnosis is difficult, and the disease is probably underdiagnosed [Eggermann T. et al., 2009].
M., a 7-year-old patient affected by SRS syndrome, comes to the first visit with a history of pain in the upper retroincisive gum due to the deep bite (gingival impingement). The pain prevents the correct chewing during meals and makes the orthodontic treatment necessary.
The elaboration of a personal orthodontic treatment plan allows the patient to recover the correct masticatory function and improve her facial aesthetic.

BACKGROUND: DNA methylation is one of the most stable and well-characterized epigenetic alterations in humans. Accordingly, it has already found clinical utility as a molecular biomarker in a variety of disease contexts. Existing methods for clinical diagnosis of methylation-related disorders focus on outlier detection in a small number of CpG sites using standardized cutoffs which differentiate healthy from abnormal methylation levels. The standardized cutoff values used in these methods do not take into account methylation patterns which are known to differ between the sexes and with age.
RESULTS: Here we profile genome-wide DNA methylation from blood samples drawn from within a cohort composed of healthy controls of different age and sex alongside patients with Prader-Willi syndrome (PWS), Beckwith-Wiedemann syndrome, Fragile-X syndrome, Angelman syndrome, and Silver-Russell syndrome. We propose a Generalized Additive Model to perform age and sex adjusted outlier analysis of around 700,000 CpG sites throughout the human genome. Utilizing z-scores among the cohort for each site, we deployed an ensemble based machine learning pipeline and achieved a combined prediction accuracy of 0.96 (Binomial 95% Confidence Interval 0.868[Formula: see text]0.995).
CONCLUSIONS: We demonstrate a method for age and sex adjusted outlier detection of differentially methylated loci based on a large cohort of healthy individuals. We present a custom machine learning pipeline utilizing this outlier analysis to classify samples for potential methylation associated congenital disorders. These methods are able to achieve high accuracy when used with machine learning methods to classify abnormal methylation patterns.

[This corrects the article DOI: 10.3389/fgene.2023.1198821.].

BACKGROUND: Low birth weight, as seen in Silver-Russell syndrome (SRS), is associated with later cardiometabolic disease. Data on long term outcomes and adult body composition in SRS are limited.
OBJECTIVE: To evaluate body composition and metabolic health in adults with SRS.
METHODS: This was an observational study. Body composition and metabolic health were assessed at a single appointment. Individuals with SRS were compared with unaffected men and women (from the Southampton Women\'s Survey (SWS)).
METHODS: Clinical research facilities across the UK.
METHODS: 25 individuals with molecularly-confirmed SRS aged ≥18 years.
METHODS: Fat mass, lean mass, bone mineral density (BMD), blood pressure, lipids, and blood glucose were measured.
RESULTS: 25 adults with SRS were included (52% female). The median age was 32.9 years (range 22.0-69.7). Fat percentage was greater in the SRS group than the SWS cohort (44.1% vs 30.3%, p<0.001). Fat mass index was similar (9.6 vs 7.8, p=0.3). Lean mass percentage (51.8% vs 66.2%, p<0.001) and lean mass index (13.5 kg/m2 vs 17.3 kg/m2, p<0.001) were lower in the SRS group than the SWS cohort. BMD was lower in the SRS group than the SWS cohort (1.08 vs 1.24, p<0.001) (all median values). Total cholesterol was ≥5mmol/L in 52.0%. Triglyceride levels were ≥1.7mmol/L in 20.8%. Fasting blood glucose levels were ≥6.1mmol/L in 25.0%. Hypertension was present in 33.3%.
CONCLUSIONS: Adults with SRS have an unfavourable body composition and predisposition to cardiometabolic disease. These results support the need for a health surveillance strategy to mitigate adverse outcomes.