Skip to main content

Advertisement

Pathogenic gene screening in 91 Chinese patients with short stature of unknown etiology with a targeted next-generation sequencing panel

Abstract

Background

Dwarfism is a common severe growth disorder, but the etiology is unclear in the majority of cases. Recombinant human growth hormone may be a treatment option, but it has limited efficacy. The currently known laboratory assays do not meet the precision requirements for clinical diagnosis. Here, we have constructed a targeted next-generation sequencing (NGS) panel of selected genes that are suspected to be associated with dwarfism for genetic screening.

Methods

Genetic screening of 91 children with short stature of unknown etiology was performed with the help of the NGS panel. All the coding regions and exon-intron boundaries of 166 genes were included in the panel. To clarify the pathogenicity of these mutations, their clinical data were reviewed and analyzed.

Results

The assay identified p.A72G, p.I282V, and p.P491S variants of the PTPN11 gene and a p.I437T variant of the SOS1 gene in 4 cases with Noonan syndrome. A frameshift mutation (p.D2407fs) of the ACAN gene was identified in a case of idiopathic short stature with moderately advanced bone age. A p.R904C variant of the COL2A1 gene was found in a patient, who was accordingly diagnosed with Stickler syndrome. Severe short stature without limb deformity was associated with a p.G11A variant of HOXD13. In addition, we evaluated evidence that a p.D401N variant of the COMP gene may cause multiple epiphyseal dysplasia.

Conclusions

Our findings suggest that syndromes, particularly Noonan syndrome, may be overlooked due to atypical clinical features. This gene panel has been verified to be effective for the rapid screening of genetic etiologies associated with short stature and for guiding precision medicine-based clinical management.

Background

Short stature is a common pediatric endocrine disease with an incidence of 3–5% [1]. Most of the cases have an unclear etiology, which makes drug selection and prognostic counseling difficult. Growth is a complex process that involves many genes and is affected by heredity, hormones, nutrition, and the environment. Heritability factors accounting for 80% of human height outcomes are suspected to be the main causes of individual variations in growth. Endocrine and paracrine factors associated with intracellular signaling pathways of the growth plate could improve our understanding of bone growth. With the advancement of molecular technologies, more genetic testing methods for studying human stature have been developed, but there is still a need for clinically acceptable tests [2].

In this study, an online database and the relevant literatures were searched for candidate genes associated with dwarfism, including genes associated with the hypothalamic-pituitary IGF-1 axis and the bone growth plate, especially endocrine and paracrine growth factors and intracellular signaling pathways. A total of 166 genes were identified (Table 1). A gene testing panel containing all the coding regions and exon-intron boundaries of these genes was developed in house. Finally, the gene variation data were analyzed in combination with clinical phenotype data to determine the likely molecular etiologic diagnosis when possible.

Table 1 List of 166 genes in gene panel

Methods

Materials

From July 2007 to December 2015, 91 children with short stature who were being followed at Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine were enrolled in our cohort for pathogenic screening. They met the following criteria for short stature: body height lower than minus two standard deviation units (-2SDS) as compared to their normal same-age/same-sex peers [3]. Exclusion criteria included the following: history of being small for gestational age, growth hormone deficiency (defined as growth hormone peak value < 10 ng/ml on the arginine and clonidine stimulation test), hypothyroidism, chronic organic diseases, known chromosomal aberrations or inborn errors associated with metabolic diseases, and growth failure secondary to psychological factors. Informed written consent was obtained from participant or guardians. In our study, 90 cases were under the age of 16; for these participants, their guardian provided written informed consent. In addition, one case of 16.7 years provided written informed consent. Ethical approval was provided by the Ruijin Hospital Ethics Committee Shanghai JiaoTong University School of Medicine.

The documented medical history included the status of their birth, feeding, growth, development and past illness as well as of the family members. Physical examination was used to measure body height, weight, head circumference, sitting height, arm span and signs of sexual development. Laboratory issues evaluated the results of growth hormone provocative test, levels of IGF-1 [4]. Radiographic imaging was used to assess bone age, by the method of Greulich–Pyle Atlas. All statistical analyses were conducted using SPSS 16.

Next-generation sequencing

Genomic DNA was isolated from peripheral lymphocytes using FlexiGene DNA Kit(Qiagne) and quantified using a NanoDrop ND2000 (NanoDrop Technologies, Wilmington, DE, USA) spectrophotometer. A total of 1000 ng of each DNA sample was fragmented on a Bioruptor Plus sonication system (Diagenode, Belgium). Sheared DNA was used to perform end repair, A-tailing and adapter ligation with the KAPA LTP Library Preparation kit according to the manufacturer’s protocol. Then, 750 ng of prepared DNA in a volume of 3.4 μl was captured using in-house developed RNA baits; this was followed by amplification of the captured library by indexing primers. After qualitative analysis with the Agilent 2100 bioanalyzer (Agilent Technologies) on the DNA chip and quantitative analysis with the Qubit® 3.0 fluorometer (Invitrogen), the libraries were sequenced on an Illumina platform (Illumina Inc., San Diego, CA, USA).

RNA baits were generated from an oligo pool synthesized by Azco Biotech. The oligo pool was amplified into double-stranded DNA. Then, a T7 promoter site was incorporated into the amplicon, and the DNA was transcribed into biotinylated RNA. The biotinylated RNA was purified, quantified, and prepared for target enrichment.

Variant calling and coverage analysis of each captured region were performed using an in-house developed bioinformatics pipeline based on the general analysis pipeline. Briefly, high-quality reads were mapped to the hg19 version of the human reference genome (GRCh37) using the BWA aligner with the BWA-MEM algorithm and default parameters. The Genome Analysis Toolkit was used to locally realign the BAM files at intervals with indel mismatched and recalibrate base quality scores of reads in the BAM files. Variants were identified by the GATK HaplotypeCaller and annotated by annovar. The variants and annotation results were transferred into Excel spreadsheets.

All the variants with MAF greater than 0.01 in ExAc or 1000G were filtered. To analyze these variants, we referred dbSNP, CliVar, Exac, and HGMD database and screened out significative variations with the Variant Effect Predictor, MutationTaster, MutationAssessor,PolyPhen2, SIFT, and other predictors of mutation effects on protein function combined with the ACMG evaluation guide [5]. These variants of pathogenic, likely pathogenic and uncertain significance were verified by Sanger sequencing. Finally, to clarify the likely molecular etiologic diagnosis, the gene variation data were analyzed in combination with clinical phenotype data.

Results

General data

A total of 91 participants (56 males and 35 females) with an average age of 9.3 ± 3.2 years (range, 2.0–16.7 y) were enrolled in this study. The average height standard deviation score (Ht-SDS) of patients was − 2.84 ± 0.63 SD (range, − 2.02–-5.45 SD). The target height for the boys was 166.3 ± 4.1 cm, and for the girls, it was 154.2 ± 3.5 cm. There were three with cryptorchidism, one with a cleft palate, three with atrial septal defects, and one with hearing loss.

Genetic variants identified

A pathogenic or probable pathogenic variant was identified in 8 of the 91 patients. The clinical data of these 8 cases are shown in Table 2. The group included four patients with Noonan syndrome, three with heterozygous mutations of the PTPN11 gene, and one with an SOS1 mutation. In addition, one patient with a mildly advanced bone age was found to harbor a frameshift mutation of the ACAN gene; whereas, one patient with early-onset myopia, cleft palate, flat nose, and short fingers was found to have a hemizygous mutation of the COL2A1 gene. Furthermore, our findings suggest that p.G11A of HOXD13 may cause severe short stature without limb deformity, and that the p.D401N variant of the COMP gene may cause multiple epiphyseal dysplasia. The identified mutations are shown in Table 3.

Table 2 Clinical data of patients with genetic variants identified with the gene screening panel
Table 3 Genetic variants identified

Discussion

Short stature is one of the most common conditions encountered by pediatric endocrinologists. Adult human height is influenced by factors varying across heredity, hormonal, nutrition, and environmental factors. Growth is a complex process regulated by many genetic factors, and numerous monogenic causes of growth disorders have been identified. Endocrine and paracrine factors are involved in the growth of long bones, and chondrocyte proliferation, hypertrophy and secretion of cartilage extracellular matrix are known to also be essential to growth [6, 7].

This study identified 166 growth-related genes (involving the endocrine system, paracrine growth factors, extracellular matrix, and intracellular signaling molecules in the growth plate) as candidates to construct a panel for screening genetic defects associated with short stature. From our cohort of 91 children with short stature of unknown etiology, 8 pathogenic mutations were identified.

Three children with atrial septal defects (P1–P3) were found to carry heterozygous variants (p.A72G, p.I282V, and p.P491S) of the PTPN11 gene, of which the p.I282V and p.491S variants were found in the parental samples, too, and are believed to be de novo mutations. These three variants have been reported to be associated with Noonan syndrome in other populations [8,9,10], but there are no reports about these variants in China. The PTPN11 gene encodes SHP-2, the widely expressed cytoplasmic protein tyrosine phosphatase. As a downstream molecule of growth factor and cytokine receptors, the SHP-2 signal molecule participates in the RAS-MAPK signaling pathway, which is involved in organ development, hematopoiesis and metabolism, as well as cell proliferation, differentiation, and migration. PTPN11 gene defects interfere with the RAS-MAPK signaling pathway, resulting in damage to multiple systems related to organ development. SHP-2 consists of tandemly arranged N-SH2 and C-SH2 domains and a PTP catalytic domain [11]. Studies have shown that most of the pathogenic variations are located within the N-SH2 and PTP domains [12]. In the case of the three genetic variants identified here, related studies have revealed that the 3 variants lead to inactivation of SHP-2, instability of conformation, and enhancement of SHP-2 function, resulting in the occurrence of Noonan syndrome [8,9,10]. Noonan syndrome is autosomal dominant and characterized by postnatal growth retardation [13], specific facial features, congenital heart defects, and skeletal deformities [14,15,16]. In our three cases of Noonan syndrome, all three patients were heterozygous for the variant and showed similar phenotypes: congenital heart disease (P1, P2, P3), facial feature anomalies (P1, P2, P3), short stature (severe in P1 and P2 and mild in P3), cryptorchidism (P1 and P3) and language delay (P1 and P3).

In this study, we also found a de novo heterozygous mutation (SOS1:p.I437T) in P4, who displayed severe short stature (− 4.08 SD), hypertelorism, a flat nose, and a short neck. The SOS1 gene encodes guanine nucleotide exchange factor, which is responsible for the transformation of Ras from its inactive GDP binding state to its active GTP binding form. After activation, an MAPK cascade reaction occurs due to Ras activating downstream MEK1/2 and ERK1/2, resulting in the activation of multiple nuclear transcription factors and kinases in the nucleus and, thereby, affecting gene transcription and regulating cell function. As a large multi-domain protein, SOS1 consists of an N-terminal regulatory part, a Dbl homology domain, a pleckstrin homology domain, and a C-terminal catalytic region. Noonan syndrome has been reported to be associated with changes in the pleckstrin homology domain structure due to I437L variations [16]. With vastly heterogeneous clinical and genetic features, Noonan syndrome involves multiple systems and multiple organs. Early detection of this syndrome can help to identify the involved systems as soon as possible, to start early treatment, and to avoid misdiagnosis or a missed diagnosis.

Our patient P5 was diagnosed with idiopathic short stature (− 2.36 SD) with mildly advanced bone age (half a year) and without any other abnormalities; this patient carried a new variant, c.7222dupA (p.D2407fs), of the ACAN gene, which encodes the proteoglycan core protein (aggrecan). This protein is mainly expressed in articular cartilage and cartilage growth plates. Recent studies have found that heterozygous defects (e.g. p.L2355P) in the CLD domain can lead to a rare autosomal dominant disease characterized by symmetric short stature, advanced bone age, and premature growth arrest [17]. The p.D2407fs is a newly discovered mutation located in exon 16, a highly conserved region of CLD. This frameshift mutation results in premature termination of codons, insufficient haploid doses, and impaired protein function. Unfortunately, we were unable to verify the inheritance pattern of this mutation, although her mother was also short (height, 141 cm). Therefore, it is suggested that clinicians pay attention to this genetic defect (short stature with advanced bone age) when excluding known genetic causes of dwarfism.

P6 carried the known pathogenic variant p.R904C of COL2A1 and was diagnosed with Stickler syndrome by gene screening. The Type II collagen protein encoded by COL2A1, the main source of collagen synthesis in chondrocytes, contains 1487 amino acids and has a three-helix domain extension consisting of a long uninterrupted glycine-X-Y chain. The R904C mutation resulted in the substitution of cysteine for arginine at the X position in the three-helix glycine-X-Y repeated sequence. Existing research shows that this substitution produces collagen molecules, which interfere with cartilage matrix protein interactions, secretion, and extracellular assembly into fibrils [18]. As result of abnormal secretion of collagen, extracellular fibrils cannot correctly recombine, and this interferes with endochondral ossification and linear bone growth. The p.R904C gene mutation has been reported to lead to collagen tissue diseases, which are characteristic of Stickler syndrome [18,19,20,21]. Stickler syndrome is a group of clinically and genetically heterogeneous collagen tissue diseases that involve the eyes, mouth, face, inner ear, bones, and joints. The classic phenotype includes symptoms of early-onset severe myopia, hearing impairment, and bone damage. Our patient P6 (− 2.94 SD) was found to have early-onset myopia, midface hypoplasia (flat nose, a high, arched palate), and skeletal involvement (brachydactyly). Although symptoms may be nonspecific, a pathogenetic diagnosis can be made by gene panel screening.

Patient P7 in our cohort carried the p.G11A mutation of the HOXD13 gene (member of the HOX gene family). HOXD13 is one of the major genes that determine the development of extremities as well of the vertebrae and limbs. HOXD13 is located in 2q31 and contains 2 exons. The encoded protein consists of 335 amino acids. In this mutation, the 32nd guanine in the coding region (c.32G > C) of the gene’s first exon is substituted with cytosine, and the 11th amino acid of the HOXD13 protein is changed from glycine to alanine, without alteration in amino acid polarity and pH. This mutation has been reported to cause a SPD phenotype, and misexpression of HOXD13(p.G11A) in the developing chick phenocopies the human SPD phenotype [22]. SPD is characterized by a connection between the middle and ring fingers and fourth and fifth toes, variably associated with postaxial polydactyly in the same digits. In the case of P7, we are unable to explain the absence of limb deformity or the lack of correlation between the phenotype and genotype. Further studies are needed to clarify the findings in this case.

In this study, P8 presented with familial short stature and carried a heterozygous variation of c.1201G > A within the COMP gene that resulted in the conversion of 401 aspartic acid into asparagine (p.D401N). COMP encodes an oligomeric matrix protein, a homopentameric glycoprotein primarily expressed in cartilage, tendons, ligaments, and skeletal muscle. Previous studies have shown that most of the pathogenic variants of COMP are located in the CLRs region [23, 24], which is encoded by exons 8–14. The variations in this pathogenicity region lead to protein misfolding and abnormal COMP deposition in the rough endoplasmic reticulum of chondrocytes; this results in chondrocyte endoplasmic reticulum stress and an unfolded protein response, apoptosis, and bone linear growth effects [25,26,27]. The D401N variant found in P8 and his father is located in the CLRs region encoded by exon 11, in the mutation hot spot. Heterozygous defects in COMP may result in multiple epiphyseal dysplasia [28], which is associated with mild growth disorders, hip and knee joint pain, swaying gait, and irregular epiphyseal ossification on imaging. Our patient displayed mild short stature (− 2.59 SD), delayed bone age (CA of 8.58 y and BA of 4.58 y), and short bone hand deformity and mild lumbar scoliosis on imaging (as shown in Fig. 1). Similarly, with short bone deformity, his father also had an abnormal pelvis radiograph that showed bilateral avascular necrosis of the femoral head (as shown in Fig. 2). The genetic defect associated with this gene new variant was also identified by gene panel screening, but the mechanisms underlying its genotype and phenotype remain to be clarified. Therefore, more functional experimental research is required to confirm its pathogenicity.

Fig. 1
figure1

a: Short bone deformity of both hands, delayed development of osteophytes. b: Mild lateral curvature of the lumbar spine

Fig. 2
figure2

a: Short bone deformity of both hands. b: Bilateral avascular necrosis of the femoral head

Conclusions

In summary, a specific gene panel was developed based on molecular regulation mechanisms of linear bone growth to screen for clinical variants related to unexplained dwarfism. Through the use of this screening panel in 91 children with unexplained short stature, gene mutations were confirmed in 8 cases, including four cases with Noonan syndrome, one case with Stickler syndrome, a case of advanced bone age, a case of severe short stature without limb deformity, and a case of multiple epiphyseal dysplasia. Our findings suggest that some known causes of congenital bone disease and syndromes (such as multiple epiphyseal dysplasia and Noonan and Stickler syndromes) may be associated with atypical clinical features and be easily overlooked. Such cases are often attributed to idiopathic short stature. However, gene screening can be used for a more accurate diagnosis in some dwarf patients with unknown etiologies, and diagnosis may help guide the rational treatment of such patients. In this study, screening with the NGS panel was used to identify the genetic etiology of some patients with short stature and provided a precision science basis for clinical phenotype classification and genetic counseling. In addition, gene screening may provide the basis for the further establishment of effective interventions and help to meet the requirements for precision medicine. Further functional experimental research on variants of probable pathogenic significance is required.

Abbreviations

ACMG:

American College of Medical Genetics and Genomics Institute

BA:

Bone age

CA:

Chronological age

CLD:

C-type lectin domain

CLRs:

Calmodulin-like(type III)repeats

GH:

Growth hormone

HGMD:

Human gene mutation database

Ht-SDS:

Height- Standard deviation score

IGF-1:

Insulin-like growth factor-1

MAF:

Minor allele frequency

MAPK:

Mitogen-activated protein kinase

NGS:

Next-generation sequencing

PTP:

Protein tyrosine phosphatase

SDS:

Standard deviation score

SHP:

Tyrosine phosphatase

SPD:

Synpolydactyly

References

  1. 1.

    Argente J. Challenges in the Management of Short Stature. Horm Res Paediatr. 2016;85(1):2–10.

  2. 2.

    Pedicelli S, Peschiaroli E, Violi E, Cianfarani S. Controversies in the definition and treatment of idiopathic short stature (ISS). J Clin Res Pediatr Endocrinol. 2009;1(3):105–15.

  3. 3.

    Li H, Ji CY, Zong XN, Zhang YQ. Height and weight standardized growth charts for Chinese children and adolescents aged 0 to 18 years. Chin J Pediatrics. 2009;47(7):487–92.

  4. 4.

    Xu SS, Gu XF, Pan H, Zhu HJ, Gong FY, Li YF, Xing YM. Reference values for serum IGF-1 and IGFBP-3 in children and adolescents. J Clin Pediatrics. 2009;27(12):1105–10.

  5. 5.

    Amendola LM, Jarvik GP, Leo MC, McLaughlin HM, Akkari Y, Amaral MD, et al. Performance of ACMG-AMP variant-interpretation guidelines among nine Laboratories in the Clinical Sequencing Exploratory Research Consortium. Am J Hum Genet. 2016;98(6):1067–76.

  6. 6.

    Lui JC, Nilsson O, Baron J. Recent research on the growth plate: recent insights into the regulation of the growth plate. J Mol Endocrinol. 2014;53(1):T1–9.

  7. 7.

    Wit JM, Oostdijk W, Losekoot M, van Duyvenvoorde HA, Ruivenkamp CA, Kant SG. MECHANISMS IN ENDOCRINOLOGY: Novel genetic causes of short stature. Eur J Endocrinol. 2016;174(4):R145–73.

  8. 8.

    Tartaglia M, Mehler EL, Goldberg R, Zampino G, Brunner HG, Kremer H, et al. Mutations in PTPN11, encoding the protein tyrosine phosphatase SHP-2, cause Noonan syndrome. Nat Genet. 2001;29(4):465–8.

  9. 9.

    Martinelli S, Torreri P, Tinti M, Stella L, Bocchinfuso G, Flex E, et al. Diverse driving forces underlie the invariant occurrence of the T42A, E139D, I282V and T468M SHP2 amino acid substitutions causing Noonan and LEOPARD syndromes. Hum Mol Genet. 2008;17(13):2018–29.

  10. 10.

    Tartaglia M, Martinelli S, Stella L, Bocchinfuso G, Flex E, Cordeddu V, et al. Diversity and functional consequences of germline and somatic PTPN11 mutations in human disease. Am J Hum Genet. 2006;78(2):279–90.

  11. 11.

    Hof P, Pluskey S, Dhe-Paganon S, Eck MJ, Shoelson SE. Crystal structure of the tyrosine phosphatase SHP-2. Cell. 1998;92(4):441–50.

  12. 12.

    Zenker M, Buheitel G, Rauch R, Koenig R, Bosse K, Kress W, et al. Genotype-phenotype correlations in Noonan syndrome. J Pediatr. 2004;144(3):368–74.

  13. 13.

    Otten BJ, Noordam C. Growth in Noonan syndrome. Horm Res. 2009;72(Suppl 2):31–5.

  14. 14.

    Roberts AE, Allanson JE, Tartaglia M, Gelb BD. Noonan syndrome. Lancet. 2013;381(9863):333–42.

  15. 15.

    Tartaglia M, Kalidas K, Shaw A, Song X, Musat DL, van der Burgt I, et al. PTPN11 mutations in Noonan syndrome: molecular spectrum, genotype-phenotype correlation, and phenotypic heterogeneity. Am J Hum Genet. 2002;70(6):1555–63.

  16. 16.

    Lepri F, De Luca A, Stella L, Rossi C, Baldassarre G, Pantaleoni F, et al. SOS1 mutations in Noonan syndrome: molecular spectrum, structural insights on pathogenic effects, and genotype-phenotype correlations. Hum Mutat. 2011;32(7):760–72.

  17. 17.

    Day JM, Olin AI, Murdoch AD, Canfield A, Sasaki T, Timpl R, et al. Alternative splicing in the aggrecan G3 domain influences binding interactions with tenascin-C and other extracellular matrix proteins. J Biol Chem. 2004;279(13):12511–8.

  18. 18.

    Ballo R, Beighton PH, Ramesar RS. Stickler-like syndrome due to a dominant negative mutation in the COL2A1 gene. Am J Med Genet. 1998;80(1):6–11.

  19. 19.

    Nagendran S, Richards AJ, McNinch A, Sandford RN, Snead MP. Somatic mosaicism and the phenotypic expression of COL2A1 mutations. Am J Med Genet A. 2012;158A(5):1204–7.

  20. 20.

    Goyal M, Kapoor S, Ikegawa S, Nishimura G. Stickler syndrome type 1 with short stature and atypical ocular manifestations. Case Rep Pediatr. 2016;2016:3198597.

  21. 21.

    Wang X, Jia X, Xiao X, Li S, Li J, Li Y, et al. Mutation survey and genotype-phenotype analysis of COL2A1 and COL11A1 genes in 16 Chinese patients with stickler syndrome. Mol Vis. 2016;22:697–704.

  22. 22.

    Brison N, Debeer P, Fantini S, Oley C, Zappavigna V, Luyten FP, et al. An N-terminal G11A mutation in HOXD13 causes synpolydactyly and interferes with Gli3R function during limb pre-patterning. Hum Mol Genet. 2012;21(11):2464–75.

  23. 23.

    Unger S, Hecht JT. Pseudoachondroplasia and multiple epiphyseal dysplasia: new etiologic developments. Am J Med Genet. 2001;106(4):244–50.

  24. 24.

    Briggs MD, Chapman KL. Pseudoachondroplasia and multiple epiphyseal dysplasia: mutation review, molecular interactions, and genotype to phenotype correlations. Hum Mutat. 2002;19(5):465–78.

  25. 25.

    Chen H, Deere M, Hecht JT, Lawler J. Cartilage oligomeric matrix protein is a calcium-binding protein, and a mutation in its type 3 repeats causes conformational changes. J Biol Chem. 2000;275(34):26538–44.

  26. 26.

    Kleerekoper Q, Hecht JT, Putkey JA. Disease-causing mutations in cartilage oligomeric matrix protein cause an unstructured Ca2+ binding domain. J Biol Chem. 2002;277(12):10581–9.

  27. 27.

    Suleman F, Gualeni B, Gregson HJ, Leighton MP, Pirog KA, Edwards S, et al. A novel form of chondrocyte stress is triggered by a COMP mutation causing pseudoachondroplasia. Hum Mutat. 2012;33(1):218–31.

  28. 28.

    Briggs MD, Brock J, Ramsden SC, Bell PA. Genotype to phenotype correlations in cartilage oligomeric matrix protein associated chondrodysplasias. Eur J Hum Genet. 2014;22(11):1278–82.

Download references

Acknowledgments

We are grateful to all of the family members for their valuable contribution to the study. We are also grateful to the Chinese National Human Genome Center and Shanghai Industrial Technology Institute (SITI) for their support in the form of the experimental platform.

Funding

The study is supported by Pudong’s Science and Technology Development Fund (Pkj-z04). The funding body had role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

All data are available for the scientific community, including the raw genetic data.

Author information

ZYD conceived of the study, designed the experiments, analyzed data, and helped to draft the manuscript. LLY designed and performed the experiments, analyzed the results, and drafted the manuscript and can be contacted for the data in the availability of data and materials statement. WW, DFW and JHN participated in the experimental studies and helped manage the patients. JXS and CHZ helped to conduct the genetic testing and analyze data. JQW was responsible for collecting samples and extracting DNA. XYM and LFC participated in the experimental studies and helped to conduct genetic analysis. YX and WLL performed the literature search and conducted data synthesis. All authors have read and approved the final manuscript.

Correspondence to Jinxiu Shi or Zhiya Dong.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ruijin Hospital Ethics Committee Shanghai JiaoTong University School of Medicine. Informed written consent was obtained from participants or their guardians. In our study, 90 cases were under the age of 16; for these participants, their guardian provided written informed consent. In addition, one case of 16.7 years provided written informed consent.

Consent for publication

Not Applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Keywords

  • Short stature
  • Unknown etiology
  • Next generation sequencing (NGS)
  • Targeted panel
  • Pathogenic genes