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Prospective study of epigenetic alterations responsible for isolated hemihyperplasia/hemihypoplasia and their association with leg length discrepancy

Abstract

Background

Hemihyperplasia and hemihypoplasia result in leg length discrepancy (LLD) by causing skeletal asymmetry. Beckwith–Wiedemann syndrome (BWS) and Silver–Russell syndrome (SRS) are opposite growth-affecting disorders caused by opposite epigenetic alterations at the same chromosomal locus, 11p15, to induce hemihyperplasia and hemihypoplasia, respectively. Because of their somatic mosaicism, BWS and SRS show a wide spectrum of clinical phenotypes. We evaluated the underlying epigenetic alterations and potential epigenotype-phenotype correlations, focusing on LLD, in a group of individuals with isolated hemihyperplasia/hemihypoplasia.

Results

We prospectively collected paired blood-tissue samples from 30 patients with isolated hemihyperplasia/hemihypoplasia who underwent surgery for LLD. Methylation-specific multiplex-ligation-dependent probe amplification assay (MS-MLPA) and bisulfite pyrosequencing for differentially methylated regions 1 and 2 (DMR1 and DMR2) on chromosome 11p15 were performed using the patient samples. Samples from patients showing no abnormalities in MS-MLPA or bisulfite pyrosequencing were analyzed by single nucleotide polymorphism (SNP) microarray and CDKN1C Sanger sequencing. We introduced a metric named as the methylation difference, defined as the difference in DNA methylation levels between DMR1 and DMR2. The correlation between the methylation difference and the predicted LLD at skeletal maturity, calculated using a multiplier method, was evaluated. Predicted LLD was standardized for stature. Ten patients (33%) showed epigenetic alterations in MS-MLPA and bisulfite pyrosequencing. Of these, six and four patients had epigenetic alterations related to BWS and SRS, respectively. The clinical diagnosis of hemihyperplasia/hemihypoplasia was not compatible with the epigenetic alterations in four of these ten patients. No patients showed abnormalities in SNP array or their CDKN1C sequences. The standardized predicted LLD was moderately correlated with the methylation difference using fat tissue (r = 0.53; p = 0.002) and skin tissue (r = 0.50; p = 0.005) in all patients.

Conclusions

Isolated hemihyperplasia and hemihypoplasia can occur as a spectrum of BWS and SRS. Although the accurate differentiation between isolated hemihyperplasia and isolated hemihypoplasia is important in tumor surveillance planning, it is often difficult to clinically differentiate these two diseases without epigenetic tests. Epigenetic tests may play a role in the prediction of LLD, which would aid in treatment planning.

Background

Leg length discrepancy (LLD) is a common orthopedic condition that can cause various problems such as scoliosis and excessive stress on hip or knee joints [1, 2]. The etiology of LLD has long been of interest to orthopedic surgeons. Hemihyperplasia or hemihypoplasia, better known as congenital hemihypertrophy or hemihypotrophy to orthopedic surgeon, results in LLD by causing skeletal asymmetry [3,4,5,6,7,8]. Hemihyperplasia/hemihypoplasia can occur as a part of a recognized clinical syndrome or in isolation. Hemihyperplasia may be caused by neurofibromatosis type 1, Klippel–Trenaunay–Weber syndrome, Proteus syndrome, or Beckwith–Wiedemann syndrome (BWS), whereas hemihypoplasia may arise from Turner syndrome or Silver–Russell syndrome (SRS) [9, 10]. The etiologies of isolated hemihyperplasia/hemihypoplasia are not well-understood [1, 3, 9]. Although the term “hemihyperplasia/hemihypertrophy” has been refined as “lateralized overgrowth” in the genetics community [11], we used the term “hemihyperplasia” in the present study to expand its readership to orthopedic surgeons who are more familiar with the term “hemihyperplasia/hemihypertrophy” than “lateralized overgrowth”.

Epigenetics refers to modification of DNA, chromatin, and associated molecules that regulates gene expression without causing alterations to the DNA sequence itself. The major epigenetic mechanisms include DNA methylation, histone modifications, and RNA-mediated processes. Genomic imprinting is an epigenetic phenomenon resulting in monoallelic expression of a gene in a parent-of-origin-specific manner. Imprinted genes are typically arranged in clusters, where their expression is controlled by differentially methylated regions (DMR) between maternal and paternal chromosomes. BWS and SRS are opposite growth-affecting genomic imprinting disorders caused by opposite epigenetic alterations at the same chromosomal locus, to induce hemihyperplasia and hemihypoplasia, respectively [12, 13]. Epigenetic alterations in a cluster of imprinted genes on chromosome 11p15 are observed in approximately 80 % of patients with BWS and 50 % of patients with SRS [12, 13].

Normally, somatic growth is balanced between two imprinted genes on 11p15, CDKN1C and IGF2 that negatively and positively regulates cell proliferation, respectively [14]. The former is transcribed from the maternal chromosome, whereas the latter is transcribed from the paternal chromosome (Fig. 1) [14]. BWS/SRS can occur by (1) gain of methylation (GOM) or loss of methylation (LOM) at DMR1 or DMR2 on 11p15, (2) 11p15 uniparental disomy (UPD) which refers to the inheritance or presence of two copies of a chromosome, or part of a chromosome, from one parent and no copies from the other parent, (3) germline mutations in CDKN1C or IGF2, or (4) 11p15 copy number variation [14,15,16,17,18,19]. GOM at DMR1, LOM at DMR2, paternal UPD 11p15, and CDKN1C loss-of-function mutations cause overgrowth through overexpression of IGF2 and/or downregulation of CDKN1C, eventually resulting in BWS (Fig. 2) [14, 16, 19]. LOM at DMR1, maternal UPD 11p15, CDKN1C gain-of-function mutations, and IGF2 loss-of-function mutations cause undergrowth through downregulation of IGF2 and/or overexpression of CDKN1C, resulting in SRS (Fig. 3) [15, 17, 18].

Fig. 1
figure 1

 A map of chromosome 11p15. Normally, the maternal allele is methylated at differentially methylated region 2 (DMR2), and the paternal allele is methylated at differentially methylated region 1 (DMR1). Unmethylated DMR1 on the maternal chromosome permits binding of the insulator protein CTCF, which blocks access of enhancers to the IGF2 promoter. Therefore, the maternal copy of H19 uses enhancers and is transcribed. Methylated DMR1 on the paternal chromosome prevents binding of the CTCF. Therefore, enhancers can access the IGF2 promoter, which is transcribed. On the maternal chromosome, DMR2 is methylated, and KCNQ1 and CDKN1C are transcribed. On the paternal chromosome, DMR2 is unmethylated, and KCNQ1OT1 is transcribed. IGF2 positively and CDKN1C negatively regulates cell growth and proliferation. Green triangles indicate enhancers. Lollipops indicate methylated DMR. Genes normally expressed from the maternal chromosome are depicted as red boxes, and genes normally expressed from the paternal chromosome are depicted as blue boxes. Arrows indicate the orientation of transcription. Tel = telomere. Cen = centromere

Fig. 2
figure 2

Molecular mechanism of Beckwith–Wiedemann syndrome. a Gain of methylation (GOM) at differentially methylated region 1 (DMR1) on the maternal chromosome results in downregulation of H19 and expression of IGF2. b Loss of methylation (LOM) at differentially methylated region 2 (DMR2) on the maternal chromosome results in downregulation of KCNQ1 and CDKN1C and expression of KCNQ1OT1. c Paternal uniparental disomy (UPD) occurs when a patient has two copies of the paternal chromosome and none of the maternal chromosome. Paternal UPD 11p15 results in overexpression of IGF2 in addition to downregulation of KCNQ1 and CDKN1C. d CDKN1C loss-of-function mutations on the maternal chromosome also result in Beckwith–Wiedemann syndrome. Green triangles indicate enhancers. Lollipops indicate methylated imprinting centers. Genes normally expressed from the maternal chromosome are depicted as red boxes, and genes normally expressed from the paternal chromosome are depicted as blue boxes. Arrows indicate the orientation of transcription. M = maternal. P = paternal. Tel = telomere. Cen = centromere

Fig. 3
figure 3

Molecular mechanism of Silver–Russell syndrome. a Loss of methylation (LOM) at differentially methylated region 1 (DMR1) on the paternal chromosome results in expression of H19 and downregulation of IGF2. b Maternal uniparental disomy (UPD) occurs when a patient has two copies of the maternal chromosome and none of the paternal chromosome. Maternal UPD 11p15 results in downregulation of IGF2 in addition to overexpression of KCNQ1 and CDKN1C. c CDKN1C gain-of-function mutations on the maternal chromosome and d IGF2 loss-of-function mutations on the paternal chromosome also result in Silver–Russell syndrome. Green triangles indicate enhancers. Lollipops indicate methylated imprinting centers. Genes normally expressed from the maternal chromosome are depicted as red boxes, and genes normally expressed from the paternal chromosome are depicted as blue boxes. Arrows indicate the orientation of transcription. M = maternal. P = paternal. Tel = telomere. Cen = centromere

Somatic mosaicism refers to the occurrence of two genetically distinct cells within an individual, derived from a postzygotic mutation. The phenotypes associated with mosaicism depend on the extent of the mosaic cell population. The international BWS consensus group introduced the concept of the Beckwith–Wiedemann spectrum (BWSp) in 2018 (Fig. 4) [12]. Because epigenetic alterations in BWSp are frequently mosaic, variations in the expression of epigenetic alterations in different tissues can lead to the development of clinical features ranging from classic BWS to isolated hemihyperplasia. Similarly, the mosaic tissue distribution of 11p15 epigenetic alterations in SRS can produce various phenotypes, including isolated hemihypoplasia, as a part of Silver–Russell spectrum (SRSp) [8]. Therefore, some of the isolated hemihyperplasia/hypoplasia cases can be caused by epigenetic changes on 11p15 [20]. Considering the association between mosaicism and variations in phenotypes, we hypothesized that the level of alteration in DNA methylation affects the extent of hemihyperplasia /hemihypoplasia, manifesting clinically as the degree of LLD.

Fig. 4
figure 4

Beckwith–Wiedemann spectrum. The Beckwith–Wiedemann spectrum (BWSp) includes patients who meet the clinical diagnostic criteria of Beckwith–Wiedemann syndrome (BWS) with or without (epi)genetic alterations at the BWS locus on chromosome 11p15, patients with fewer features of BWS and (epi)genetic alterations at 11p15, and patients with isolated hemihyperplasia and (epi)genetic alterations at 11p15. (figure modified from Brioude F et al. Nat Rev Endocrinol. 2018)

In this study, we evaluated the underlying epigenetic alterations and potential epigenotype-phenotype correlations, focusing on LLD, in a group of individuals with isolated hemihyperplasia/hemihypoplasia.

Results

There were 17 male (57 %) and 13 female (30 %) patients. Twenty-eight patients underwent epiphysiodesis and two patients underwent tibial lengthening at a chronological age of 11.6 ± 1.8 years (range 6.9–14.5 years) and at a bone age of 11.7 ± 1.9 years (range 6.1–15 years). The mean chronological age was not different from the mean bone age (p = 0.876). Methylation-specific multiplex-ligation-dependent probe amplification (MS-MLPA) assay detected epigenetic alterations in 9/30 patients (30 %), and bisulfite pyrosequencing detected in 10/30 patients (33 %; Table 1). All nine patients who had epigenetic alterations identified by MS-MLPA also had consistent results with bisulfite pyrosequencing. In the one patient with SRSp (Hemihypoplasia Patient 2 in Table 1), an epigenetic alteration (maternal UPD pattern) was detected but was not in the result of MS-MLPA (skin sample), but rather the result of bisulfite pyrosequencing (skin sample). The pattern of altered methylation identified by bisulfite pyrosequencing tended to be consistent across the samples tested, but not in all tissue samples from each patient (Additional file 1). No patients showed abnormal single nucleotide polymorphism (SNP) array or CDKN1C Sanger sequencing results (n = 20). Of the 10 patients with epigenetic alterations, seven had alterations in both the blood and tissue samples, two had alterations only in the tissue samples, and one had alterations only in the blood sample.

Table 1 Clinical features and results of molecular tests of patients (n = 30)

Of the 10 patients with epigenetic alterations, eight had GOM or LOM at DMR1 or DMR2 on 11p15 and two had a UPD 11p15 pattern. No patients had germline mutations in CDKN1C or 11p15 copy number variation. Of these 10 patients, six had epigenetic alterations of BWSp and four had alterations of SRSp (Table 1) (Fig. 5). The epigenotypes of six patients with BWSp were LOM at DMR2 in four patients, GOM at DMR1 in one, and paternal UPD 11p15 pattern (both GOM at DMR1 and LOM at DMR2) in one. The epigenotypes of four patients with SRSp were LOM at DMR1 in three patients and maternal UPD 11p15 pattern (both LOM at DMR1 and GOM at DMR2) in one. The clinical diagnosis of six patients with BWSp was hemihyperplasia in four and hemihypoplasia in two. The clinical diagnosis of four patients with SRSp was hemihyperplasia in two and hemihypoplasia in two.

Fig. 5
figure 5

Clinical diagnosis and results of molecular tests of patients

Choufani et al. [14] The mean standardized predicted LLD (± standard deviation [SD]) was 2.5 ± 1.5 % (range 1.1–8.7 %). The methylation difference using fat tissue was 2.13 ± 2.23 SD (range 0–10.3 SD) and this showed a moderate correlation with the standardized predicted LLD at skeletal maturity in all patients (r = 0.534; p = 0.002) (Table 2) [21]. The methylation difference using fat tissue was strongly correlated with the standardized predicted LLD in 10 patients with methylation alterations (r = 0.758; p = 0.011) (Fig. 6). The methylation difference using skin tissue was 2.13 ± 1.98 SD (range 0.12–8.73 SD) and also showed a moderate correlation with the standardized predicted LLD at skeletal maturity in all patients (r = 0.504; p = 0.005). However, it showed borderline significance (r = 0.6, p = 0.067) in 10 patients with methylation alterations, probably because of a type-II error. The methylation differences using blood and muscle samples were not correlated with the standardized predicted LLD at skeletal maturity.

Table 2 Correlations between the methylation difference and predicted LLD
Fig. 6
figure 6

Scatterplot of the methylation difference using fat tissue and predicted leg length discrepancy (LLD) at skeletal maturity in 10 patients with methylation alterations. Blue dots refer to patients with Beckwith–Wiedemann spectrum (BWSp) and red dots refer to patients with Silver–Russell spectrum (SRSp)

Discussion

We demonstrated that isolated hemihyperplasia and hemihypoplasia can occur as BWSp and SRSp, and the methylation difference is related to the predicted LLD at skeletal maturity. This is the first study to identify a relationship between the predicted severity of LLD and epigenetic alterations, providing a basis for understanding the development of idiopathic LLD and value of epigenetic tests for patients with isolated hemihyperplasia/hemihypoplasia.

Several previous studies have shown that patients with isolated hemihyperplasia/hemihypoplasia may have epigenetic alterations that are found in BWSp/SRSp [6, 7, 22,23,24]. Shuman et al. reported eight patients with paternal UPD 11p15 and three with LOM at DMR2 among 51 patients with isolated hemihyperplasia [7]. Bliek et al. reported a series of eight patients with clinical features ranging from isolated hemihypoplasia to full-spectrum SRS who had LOM at DMR1 [22]. However, all previous studies of “isolated hemihyperplasia/hemihypoplasia” included both patients with isolated hemihyperplasia/hemihypoplasia and patients with skin pigmentation or other BWSp/SRSp clinical features who did not fit the definition of “isolated” [6, 7, 22,23,24]. Previous studies did not obtain tissue samples from every patient, which may have resulted in false negative results, considering the mosaic distribution of the affected cells. To the best of our knowledge, this is the first study to reveal epigenetic alterations on 11p15 using paired blood-tissue samples in a group of individuals with “pure” isolated hemihyperplasia/hemihypoplasia.

Although CDKN1C mutations have been identified in 8 % of patients with BWSp [14], we did not observe these mutations. This may be because the underlying molecular defect of CDKN1C mutations is a germline mutation that affects all cells in the body rather than a somatic mosaicism and because our study population comprised isolated hemihyperplasia/hemihypoplasia patients. Previous studies of BWSp/SRSp reported the extreme rarity of hemihyperplasia/hemihypoplasia in patients with CDKN1C mutations [16, 20, 25,26,27]. CDKN1C sequencing is therefore thought to be unnecessary in patients with isolated hemihyperplasia/hemihypoplasia.

Because the epigenetic alteration exists in a mosaic form in BWSp/SRSp, it is possible that the proportion of cells with altered methylation is high in hyperplastic/hypoplastic tissues. Therefore, the level of DNA methylation alteration may differ even in patients with the same epigenotype, leading to differences in the phenotype severity. We quantitatively represented this “methylation burden” as the methylation difference between DMR1 and DMR2, which was shown to correlate with the severity of LLD when using skin and fat tissues. Particularly, UPD affects methylation at both DMR1 and DMR2 in opposite directions, resulting in a large methylation difference. In this study, two patients showed a UPD pattern. One patient with a maternal UPD pattern had 57 mm of predicted LLD, and another patient with paternal UPD had 112 mm of predicted LLD. A previous case report described a patient with paternal UPD 11p15 who had hemihyperplasia affecting the right leg and showed 50 mm of LLD at an early age of 8.3 years [28]. Another study also reported that patients with paternal UPD 11p15 had more severe LLD at diagnosis and progression over time than BWSp patients with other molecular defects [29]. Therefore, UPD appears to be associated with severe phenotypes. This is the first study to quantitatively analyze the association between the degree of epigenetic alteration and severity of phenotype in patients with BWSp/SRSp. This strategy may be applicable in patients with BWSp to assess tumor development risk. Correlation analysis using skin tissue might also be better choice than the use of fat tissue for predicting LLD, considering its availability. However, this should be further validated with a larger number of patients with and without methylation alterations.

Whether to perform epigenetic tests using different types of samples on patients with isolated hemihyperplasia/hemihypoplasia could be controversial. If we identify methylation alterations via epigenetic tests, we can reassure patients that the risk of recurrence of hemihyperplasia/hemihypoplasia in their offspring is negligible [19]. If a UPD pattern is observed, we can inform patients of the possibility of lengthening procedures, rather than an operative procedure that suppresses longitudinal bone growth, or epiphysiodesis, for large LLD. In this study, we confirmed epigenetic alterations using peripheral blood samples in 8/10 patients with methylation defect. Therefore, blood sampling only might be adequate as the first step, and multiple tissue sampling could be avoided in most patients with isolated hemihyperplasia and hemihypoplasia for molecular diagnosis of BWSp/SRSp.

Because there are no clinical features other than a size difference between the sides in isolated hemihyperplasia/hemihypoplasia, it is difficult to differentiate these two diseases clinically. Unlike in hemihyperplasia, LLD in hemihypoplasia is rarely more than 25 mm and therefore does not require surgery [3]. However, in this study, the predicted LLDs of two of four patients with the epigenotype of SRSp were 57 and 32 mm. Therefore, LLD due to hemihypoplasia in SRSp can exceed 25 mm, and we should not differentiate these two diseases based on the severity of LLD.

In this study, the clinical diagnosis of hemihyperplasia/hemihypoplasia was not compatible with epigenetic alterations in four of 10 patients. Other studies have also found LOM at DMR1, which should cause hemihypoplasia in patients diagnosed with isolated hemihyperplasia [5, 8]. Because screening for embryonal tumors is recommended only for patients with hemihyperplasia, and not for patients with hemihypoplasia [12, 13], the differentiation of isolated hemihyperplasia from hemihypoplasia has serious prognostic implications. However, without epigenetic tests, this discrimination is nearly impossible, except in a few patients with extreme phenotypes. This problem highlights the need to perform epigenetic tests in patients with isolated hemihyperplasia/hemihypoplasia.

LLD is a common orthopedic condition, which frequently occurs for unknown causes [30]. This study provides a basis for understanding the molecular mechanism underlying idiopathic LLD. When epigenetic alterations of BWSp/SRSp are confined to the thigh and/or leg due to somatic mosaicism, the condition appears as idiopathic LLD. A considerable portion of idiopathic LLD appears to occur as a BWSp/SRSp.

In the present study, tissue samples could be obtained only from the operated legs for ethical reasons. Tibial lengthening was performed only in one of 23 patients with a clinical diagnosis of hemihyperplasia and one of seven patients with clinical diagnosis of hemihypoplasia because the morbidity of tibial lengthening is much greater than that of epiphysiodesis (Additional file 1). Therefore, of 23 patients with a clinical diagnosis of hemihyperplasia, tissue samples were obtained from a longer leg in 22 patients and from a shorter leg in one patient. Of seven patients with a clinical diagnosis of hemihypoplasia, tissue samples were obtained from a shorter leg in one patient and from a longer leg in six patients. Of six patients with BWSp, tissue samples were obtained from an unaffected leg in one patient who underwent tibial lengthening and from an affected leg in the others who underwent epiphysiodesis (Additional file 1). Of four patients with SRSp, tissue samples were obtained from an affected leg in one patient who underwent tibial lengthening and from an unaffected leg in the others who underwent epiphysiodesis. We still do not know whether the tissue samples came from affected or unaffected leg of patients whose epigenetic alterations were not detected. If we could obtain tissue samples from an affected leg in every patient, the detection rate of epigenetic alterations might increase. It is noteworthy that epigenetic alterations were detected in an “unaffected” leg in some patients. Not the presence of epigenetic alteration itself but the difference in the proportion of cells with altered methylation might determine LLD.

This study has several limitations. First, we did not examine other genetic mechanisms affecting growth [31,32,33]. These mechanisms can be confounding factors that may block the correlation between the methylation difference and predicted LLD. In the first five consecutive patients, we examined genes involved in the PI3K/AKT/mTOR pathway, which is also known to cause syndromic hemihyperplasia [32], using tissue-blood paired high-depth exome sequencing. However, we found no meaningful tissue-specific variant in any sample and thus discontinued the examination. Second, the predicted LLD calculated by the multiplier method may differ from the true LLD [34], although this is one of the most frequently used methods for predicting LLD [35]. Because the development of LLD over time can vary between patients with and without epigenetic alterations [29], patient-specific methods to predict LLD at skeletal maturity based on epigenotypes might be applied. Third, the sample size in this study was small for some statistical analysis, to verify the statistical significance.

Conclusions

Isolated hemihyperplasia and hemihypoplasia can occur as a spectrum of BWS and SRS. Although the accurate differentiation between isolated hemihyperplasia and isolated hemihypoplasia is important in tumor surveillance planning, it is often difficult to clinically differentiate these two diseases without epigenetic tests. Epigenetic tests may play a role in the prediction of leg length discrepancy, which would aid in treatment planning.

Methods

Patients

Eighty-eight patients with hemihyperplasia/hemihypoplasia underwent epiphysiodesis or removal of hardware which had been inserted to correct LLD at a single tertiary-care pediatric center between December 2018 and March 2020 (Fig. 7). Because isolated hemihyperplasia/hemihypoplasia is a diagnosis of exclusion, 40 patients whose hemihyperplasia/hemihypoplasia may have been caused by other medical conditions were excluded following discussions between a pediatric orthopedic surgeon (C.H.S.) and clinical geneticist (J.M.K.). This group included 16 patients with genetic syndromes related to hemihyperplasia/hemihypoplasia, six patients with other congenital anomalies, five patients with skin pigmentation, four patients with peripheral nerve palsy, four patients with a history of fracture or tumor of the lower limbs, three patients with chromosomal abnormalities, and two patients with angular deformity of the lower limbs. We excluded all patients who had one of any phenotypes of BWSp/SRSp other than LLD such as umbilical hernia or oligohydramnios to confine the study population to patients with isolated hemihyperplasia/hemihypoplasia. Of the remaining 48 patients, 18 patients (38%) refused to participate. Twenty-three patients with hemihyperplasia and seven patients with hemihypoplasia constituted the study group. Hemihyperplasia and hemihypoplasia were classified by each surgeon preoperatively based on normative height, sitting height, and subischial leg length data [36, 37].

Fig. 7
figure 7

Flowchart of the study population

Bone age was estimated using the Greulich-Pyle atlas method [38]. LLD was measured as the iliac crest height difference on a standing pelvic anteroposterior radiograph (Fig. 8). LLD at skeletal maturity was predicted using a multiplier method at the time of epiphysiodesis or tibial lengthening [39]. Chronological age was used for a multiplier method according to its original description [39]. To standardize the predicted LLD for stature, the predicted LLD was divided by the height at the time of epiphysiodesis or tibial lengthening.

Fig. 8
figure 8

Measurement of leg length discrepancy (LLD) on a standing pelvic anteroposterior radiograph

We introduced a metric named the methylation difference, defined as the difference in DNA methylation levels between DMR1 and DMR2 in the same tissue using bisulfite pyrosequencing. Because GOM at DMR1 promotes growth via transcription of IGF2 and GOM at DMR2 restricts growth via transcription of CDKN1C [14], the methylation difference would determine the direction of growth. We assumed that the methylation difference is correlated with the severity of predicted LLD at skeletal maturity.

Sample collection

Because of somatic mosaicism, 11p15 epigenetic alterations in individual patients may differ between cells from different tissues, and acquisition of tissue samples from overgrown/undergrown regions increases the likelihood of finding epigenetic alterations [7]. We usually perform a molecular test using blood samples as a first line test and consider an additional test using skin or other tissue samples when the blood analysis is negative. Because patients in the present study were supposed to undergo surgery for LLD, we decided to obtain blood and tissue samples at the same time under general anesthesia without causing additional pain from blood sampling. Skin biopsy samples have been preferred because of their high accessibility, relative to other organs, in previous studies [40]. Because we hypothesized that local tissue that had developed from the mesoderm would contribute more to leg length than peripheral blood or local tissue from the ectoderm, we obtained fat and muscle tissues, as well as skin tissue, to increase the rate of molecular detection. Therefore, at the time of operation, we collected paired blood-tissue samples composed of 5 mL of peripheral blood and a small amount of dermis, fat, and muscle. Tissue samples were obtained through the incision made for epiphysiodesis or hardware removal. Muscles were obtained from the vastus lateralis using a 3-mm punch in 17 patients undergoing operations at the distal femur and proximal tibia and in 11 patients at the distal femur, and from the tibialis anterior in two patients undergoing operations at the tibia. The mean age of the patients was 12.9 ± 1.8 years (range 7.9–15.7 years) at the time of sample acquisition.

Molecular testing

Molecular testing to identify the genetic and epigenetic alterations responsible for BWSp/SRSp, (1) GOM or LOM at DMR1 or DMR2 on 11p15, (2) UPD 11p15, (3) germline mutations in CDKN1C, or (4) 11p15 copy number variation [14,15,16,17,18,19], was performed. MS-MLPA assay and bisulfite pyrosequencing for DMR1 and DMR2 on 11p15 were performed for all patients (Fig. 9). MS-MLPA can detect methylation alteration, UPD, and copy number variation, and bisulfite pyrosequencing can detect methylation alteration and UPD. Samples from patients who did not show abnormalities of any tissue in MS-MLPA and bisulfite pyrosequencing (n = 20) were further analyzed by SNP microarray which can detect UPD and copy number variation and CDKN1C Sanger sequencing. We did not perform SNP array for the patients who showed UPD 11p15 pattern in methylation studies. Low-grade tissue mosaicism of UPD or short range (< 10 MB) loss of heterozygosity cannot be detected and reported based on the SNP microarray platform used in the present study (Affymetrix CytoScan 750 K Array [Thermo Fisher Scientific, Walsham, United States]). The details of molecular testing are shown in Additional file 2.

Fig. 9
figure 9

Flowchart of the molecular test

Statistical analysis

The mean chronological age was compared to the mean bone age using the Wilcoxon signed-rank test after the Shapiro-Wilks test for normality. The methylation difference was calculated as altered DNA methylation level (SD) at DMR1 − altered DNA methylation level (SD) at DMR2 in the same tissue using bisulfite pyrosequencing. Methylation differences were calculated in the same way regardless of patients’ epigenotypes. The correlation between the methylation difference and standardized predicted LLD was evaluated using Spearman correlation test. Significance was set at p < 0.05. Statistical analysis was performed using STATA 15.1 (Stata Corp, College Station, TX, USA).

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BWS:

Beckwith–Wiedemann syndrome.

BWSp:

Beckwith–Wiedemann spectrum.

DMR1:

Differentially methylated region 1.

DMR2:

Differentially methylated region 2.

GOM:

Gain of methylation.

LLD:

Leg length discrepancy.

LOM:

Loss of methylation.

MS-MLPA:

Methylation-specific multiplex-ligation-dependent probe amplification assay.

SD:

standard deviation.

SNP:

Single nucleotide polymorphism.

SRS:

Silver–Russell syndrome.

SRSp:

Silver–Russell spectrum.

UPD:

Uniparental disomy

References

  1. Herring JA. Tachdjian’s pediatric orthopaedics. 5th ed. Philadelphia: Elsevier Saunders; 2013. p. 884–928.

    Google Scholar 

  2. Raczkowski JW, Daniszewska B, Zolynski K. Functional scoliosis caused by leg length discrepancy. Arch Med Sci. 2010;6(3):393–8.

    Article  Google Scholar 

  3. Weinstein SL, Flynn JM, Crawford HA. Lovell and Winter’s pediatric orthopaedics. 8th ed. Philadelphia: Lippincott Williams & Wilkins; 2020. p. 317–9.

    Google Scholar 

  4. Spranger J, Benirschke K, Hall JG, Lenz W, Lowry RB, Opitz JM, et al. Errors of morphogenesis: concepts and terms. Recommendations of an international working group. J Pediatr. 1982;100(1):160–5.

    Article  CAS  Google Scholar 

  5. Bliek J, Maas S, Alders M, Merks JH, Mannens M. Epigenotype, phenotype, and tumors in patients with isolated hemihyperplasia. J Pediatr. 2008;153(1):95–100.

    Article  CAS  Google Scholar 

  6. Martin RA, Grange DK, Zehnbauer B, Debaun MR. LIT1 and H19 methylation defects in isolated hemihyperplasia. Am J Med Genet A. 2005;134A(2):129–31.

    Article  Google Scholar 

  7. Shuman C, Smith AC, Steele L, Ray PN, Clericuzio C, Zackai E, et al. Constitutional UPD for chromosome 11p15 in individuals with isolated hemihyperplasia is associated with high tumor risk and occurs following assisted reproductive technologies. Am J Med Genet A. 2006;140(14):1497–503.

    Article  Google Scholar 

  8. Zeschnigk M, Albrecht B, Buiting K, Kanber D, Eggermann T, Binder G, et al. IGF2/H19 hypomethylation in Silver–Russell syndrome and isolated hemihypoplasia. Eur J Hum Genet. 2008;16(3):328–34.

    Article  CAS  Google Scholar 

  9. Ballock RT, Wiesner GL, Myers MT, Thompson GH. Hemihypertrophy. Concepts and controversies. J Bone Joint Surg Am. 1997;79(11):1731–8.

    Article  CAS  Google Scholar 

  10. Beals RK. Hemihypertrophy and hemihypotrophy. Clin Orthop Related Res. 1982;166:199–203.

    Google Scholar 

  11. Kalish JM, Biesecker LG, Brioude F, Deardorff MA, Di Cesare-Merlone A, Druley T, et al. Nomenclature and definition in asymmetric regional body overgrowth. Am J Med Genet Part A. 2017;173(7):1735–8.

    Article  Google Scholar 

  12. Brioude F, Kalish JM, Mussa A, Foster AC, Bliek J, Ferrero GB, et al. Expert consensus document: clinical and molecular diagnosis, screening and management of Beckwith–Wiedemann syndrome: an international consensus statement. Nat Rev Endocrinol. 2018;14(4):229–49.

    Article  Google Scholar 

  13. Wakeling EL, Brioude F, Lokulo-Sodipe O, O’Connell SM, Salem J, Bliek J, et al. Diagnosis and management of Silver–Russell syndrome: first international consensus statement. Nat Rev Endocrinol. 2017;13(2):105–24.

    Article  CAS  Google Scholar 

  14. Choufani S, Shuman C, Weksberg R. Beckwith–Wiedemann syndrome. Am J Med Genet C Semin Med Genet. 2010;154C(3):343–54.

    Article  CAS  Google Scholar 

  15. Begemann M, Zirn B, Santen G, Wirthgen E, Soellner L, Buttel HM, et al. Paternally inherited IGF2 mutation and growth restriction. N Engl J Med. 2015;373(4):349–56.

    Article  CAS  Google Scholar 

  16. Brioude F, Netchine I, Praz F, Le Jule M, Calmel C, Lacombe D, et al. Mutations of the imprinted CDKN1C gene as a cause of the overgrowth Beckwith–Wiedemann syndrome: clinical spectrum and functional characterization. Hum Mutat. 2015;36(9):894–902.

    Article  CAS  Google Scholar 

  17. Brioude F, Oliver-Petit I, Blaise A, Praz F, Rossignol S, Le Jule M, et al. CDKN1C mutation affecting the PCNA-binding domain as a cause of familial Russell Silver syndrome. J Med Genet. 2013;50(12):823–30.

    Article  CAS  Google Scholar 

  18. Saal HM, Harbison MD, Netchine I. Silver–Russell Syndrome Seattle. University of Washington. 2019. https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/books/NBK1324. Accessed 15 Oct 2020.

  19. Shuman C, Beckwith JB, Weksberg R. Beckwith–Wiedemann syndrome Seattle. University of Washington. 2016. https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/books/NBK1394. Accessed 15 Oct 2020.

  20. Mussa A, Russo S, De Crescenzo A, Freschi A, Calzari L, Maitz S, et al. (Epi)genotype-phenotype correlations in Beckwith–Wiedemann syndrome. Eur J Hum Genet. 2016;24(2):183–90.

    Article  CAS  Google Scholar 

  21. Schober P, Boer C, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth Analg. 2018;126(5):1763–8.

    Article  Google Scholar 

  22. Bliek J, Terhal P, van den Bogaard MJ, Maas S, Hamel B, Salieb-Beugelaar G, et al. Hypomethylation of the H19 gene causes not only Silver–Russell syndrome (SRS) but also isolated asymmetry or an SRS-like phenotype. Am J Hum Genet. 2006;78(4):604–14.

    Article  CAS  Google Scholar 

  23. Gaston V, Le Bouc Y, Soupre V, Burglen L, Donadieu J, Oro H, et al. Analysis of the methylation status of the KCNQ1OT and H19 genes in leukocyte DNA for the diagnosis and prognosis of Beckwith–Wiedemann syndrome. Eur J Hum Genet. 2001;9(6):409–18.

    Article  CAS  Google Scholar 

  24. Niemitz EL, Feinberg AP, Brandenburg SA, Grundy PE, DeBaun MR. Children with idiopathic hemihypertrophy and Beckwith–Wiedemann syndrome have different constitutional epigenotypes associated with Wilms tumor. Am J Hum Genet. 2005;77(5):887–91.

    Article  CAS  Google Scholar 

  25. Nakashima S, Kato F, Kosho T, Nagasaki K, Kikuchi T, Kagami M, et al. Silver–Russell syndrome without body asymmetry in three patients with duplications of maternally derived chromosome 11p15 involving CDKN1C. J Hum Genet. 2015;60(2):91–5.

    Article  CAS  Google Scholar 

  26. Romanelli V, Belinchón A, Benito-Sanz S, Martínez-Glez V, Gracia-Bouthelier R, Heath KE, et al. CDKN1C (p57Kip2) analysis in Beckwith–Wiedemann syndrome (BWS) patients: Genotype–phenotype correlations, novel mutations, and polymorphisms. Am J Med Genet Part A. 2010;152A(6):1390–7.

    CAS  PubMed  Google Scholar 

  27. Kantaputra PN, Sittiwangkul R, Sonsuwan N, Romanelli V, Tenorio J, Lapunzina P. A novel mutation in CDKN1C in sibs with Beckwith–Wiedemann syndrome and cleft palate, sensorineural hearing loss, and supernumerary flexion creases. Am J Med Genet Part A. 2013;161(1):192–7.

    Article  CAS  Google Scholar 

  28. West PM, Love DR, Stapleton PM, Winship IM. Paternal uniparental disomy in monozygotic twins discordant for hemihypertrophy. J Med Genet. 2003;40(3):223–6.

    Article  CAS  Google Scholar 

  29. Carli D, De Pellegrin M, Franceschi L, Zinali F, Paonessa M, Spolaore S, et al. Evolution over time of leg length discrepancy in patients with syndromic and isolated lateralized overgrowth. J Pediatr. 2021;234:123–7.

    Article  CAS  Google Scholar 

  30. Knutson GA. Anatomic and functional leg-length inequality: a review and recommendation for clinical decision-making. Part I, anatomic leg-length inequality: prevalence, magnitude, effects and clinical significance. Chiropr Osteopat. 2005;13:11.

    Article  Google Scholar 

  31. Wood AR, Esko T, Yang J, Vedantam S, Pers TH, Gustafsson S, et al. Defining the role of common variation in the genomic and biological architecture of adult human height. Nat Genet. 2014;46(11):1173–86.

    Article  CAS  Google Scholar 

  32. Keppler-Noreuil KM, Rios JJ, Parker VE, Semple RK, Lindhurst MJ, Sapp JC, et al. PIK3CA-related overgrowth spectrum (PROS): diagnostic and testing eligibility criteria, differential diagnosis, and evaluation. Am J Med Genet A. 2015;167A(2):287–95.

    Article  Google Scholar 

  33. Cirillo F, Catellani C, Lazzeroni P, Sartori C, Street ME. The role of microRNAs in influencing body growth and development. Horm Res Paediatr. 2020;93(1):7–15.

    Article  CAS  Google Scholar 

  34. Makarov MR, Jackson TJ, Smith CM, Jo CH, Birch JG. Timing of epiphysiodesis to correct leg-length discrepancy: a comparison of prediction methods. J Bone Joint Surg Am. 2018;100(14):1217–22.

    Article  Google Scholar 

  35. Mills G, Nelson S. An improved spreadsheet for calculating limb length discrepancy and epiphysiodesis timing using the multiplier method. J Child Orthop. 2016;10(4):313–9.

    Article  Google Scholar 

  36. Ahn KT, Park SY, Park YW. Studies on standard physical growth and development by age and body height in Korean youth. Korean J Prev Med. 1984;17(1):145–72.

    Google Scholar 

  37. Dimeglio A. Growth in pediatric orthopaedics. J Pediatr Orthop. 2001;21(4):549–55.

    CAS  PubMed  Google Scholar 

  38. Greulich WW, Pyle SI. Radiographic atlas of skeletal development of the hand and wrist. Stanford: Stanford University Press; 1959.

    Book  Google Scholar 

  39. Paley D, Bhave A, Herzenberg JE, Bowen JR. Multiplier method for predicting limb-length discrepancy. J Bone Joint Surg Am. 2000;82(10):1432.

    Article  CAS  Google Scholar 

  40. Duffy KA, Cielo CM, Cohen JL, Gonzalez-Gandolfi CX, Griff JR, Hathaway ER, et al. Characterization of the Beckwith–Wiedemann spectrum: diagnosis and management. Am J Med Genet Part C: Semin Med Genet. 2019;181(4):693–708.

    Article  Google Scholar 

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Acknowledgements

We thank the patients, their families, and the physicians and surgeons for referring patients and collecting data. We thank Yusuhn Kang MD for her invaluable advice for this study.

Funding

This research was supported by the Basic Science Research Program through the National search Foundation of Korea, by the Ministry of Education (Grant No. 2018R1D1A1A02085462). The funding played a role in molecular testing.

Author information

Authors and Affiliations

Authors

Contributions

CHS, IHC, and JMK conceived and planned the study. CHS, CML, WJY, and TJC created the cohort and provided patient samples. JMK performed the molecular testing (MS-MLPA, sequencing, and SNP microarray). HWK and CHS collected and analyzed the data. CHS and JMK drafted the manuscript and revised it in communication with CML, HWK, WJY, TJC, and IHC. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jung Min Ko.

Ethics declarations

Ethics approval and consent to participate

This study was carried out under an ethics approval from Seoul National University College of Medicine/Seoul National University Hospital Institutional Review Board (IRB Number: H-1811-030-983). All participants in this study provided informed written consents for participation in molecular testing from their donated blood and tissue samples, after viewing documentation about the studies.

Consent for publication

We obtained written informed consent from the patients and the patients’ parents to publish patients’ clinical and molecular information.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This study was conducted at the Seoul National University Children's Hospital, Seoul, Republic of Korea.

Supplementary Information

Additional file 1: Supplementary Table 1

. Results of bisulfite pyrosequencing.

Additional file 2

. Additional details of molecular testing.

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Shin, C.H., Lim, C., Kim, H.Y. et al. Prospective study of epigenetic alterations responsible for isolated hemihyperplasia/hemihypoplasia and their association with leg length discrepancy. Orphanet J Rare Dis 16, 418 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s13023-021-02042-6

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