Skip to main content

High-throughput screening reveals novel mutations in spinal muscular atrophy patients



Spinal muscular atrophy (SMA) is an autosomal recessive hereditary disease associated with severe muscle atrophy and weakness in the limbs and trunk. The discovery of mutated genes is helpful in diagnosis and treatment for SMA.


Eighty-three whole blood samples were collected from 28 core families of clinically suspected SMA, and multiplex ligation probe amplification (MLPA) was performed. Afterwards, the complete gene sequence of SMN1 gene was detected. Furthermore, 20 SMA patients were selected from the 28 probands, and 5 non SMA children as controls. The Life Technologies SOLiD™ technology with mate-pair chemistry was utilized to conduct the whole exome high-throughput sequencing.


Twenty-two probands were SMA patients, 3 probands carriers, and 3 probands normal individuals. Moreover, 2 parents from 2 SMA families were with 3 SMN1 exon7 copies. Six SMN1 single nucleotide variants (SNVs) were identified in the 83 samples, and c.[84C > T], c.[271C > T], c.[−39A > G] and g.[70240639G > C] were novel. Compared with control group, 9102 mutation were selected out in SMA patients. SPTA1 mutation c.[−41_-40insCTCT], FUT5 SNV c.[1001A > G], and MCCC2 SNV c.[−117A > G] were the 3 most frequent mutations in SMA group (95, 85 and 75%, respectively).


We identified some mutations in both SMN1 and other genes, and c.[271C > T], c.[−41_-40insCTCT], c.[1001A > G] and c.[−117A > G] might be associated with the onset of SMA.


Spinal muscular atrophy (SMA) is an autosomal recessive hereditary disease characterized by degeneration of spinal cord motor neurons, atrophy of skeletal muscles, and generalized weakness [1]. It affects 1 in 10,000 live births, and often leads to early death [2]. SMA manifests over a wide range of severity, affecting infants through adults. According to the onset time and severity of the disease, SMA is divided into 4 types (SMA1, SMA2, SMA3 and SMA4), and SMA 1, with onset before age 6 months; SMA 2, with onset between age 6 and 18 months; SMA 3, with onset in childhood after age 12 months; and SMA 4, with adult onset [3]. Nusinersen (trade name: Spinraza) is the only approved drug to treat spinal muscular atrophy, which is administered directly to the central nervous system using an intrathecal injection [4], but it’s mandatory to have a specific diagnosis in quick time. The genetic profile is essential for the quick and accurate diagnosis of SMA.

SMA is caused by homozygous disruption of the survival motor neuron 1 (SMN1) gene by deletion, conversion, or mutation [1]. Since SMA is one of the most common lethal genetic disorders, with a carrier frequency of 1 in 40 to 1 in 60, direct carrier dosage testing has been beneficial to many families [5]. About 96% SMA are caused by a homozygous deletion of SMN1 exon7, and the remaining 4% of cases are caused either by compound heterozygosity with a point mutation in one allele and a deletion in the other or by compound heterozygous point mutations in SMN1 [6]. SMN2 is a homologous gene of SMN1 and functions as a SMA modifier. In general, the copy number of SMN2 is substantial variation in SMA patients, and a high SMN2 copy number tends to a milder type [7]. Furthermore, more and more new genes or novel mutations have been reported to be related to the morbidity, severity, treatment and prognosis of SMA with the development of gene sequencing technology. A study revealed seven different mutations of SMN1, and among them, c.824G > C, and c.825-2A > T were described for the first time [8]. Another study found the NAIP copy number was inversely correlated with the clinical severity of SMA [9]. GTF2H2 and H4F5 have been proved to be associated with the onset and type of SMA [10]. It is important to understand the genetic characteristics of SMA pathology in order to better understand and diagnose it, so as to implement the nursing care of more and more affected patients.

The severity of SMA varies from infancy to adulthood, which is reflected in the clinical classification system of type 1–4. In addition, a recent study reported that the copy number of SMN genes may determine the pathological type of SMA patients. Cao et al. [11] found that in different copy numbers of SMN2, the distribution of type I and type 2/3 was significantly different (P < 0.001): when the copy number of SMN2 in parents was 1, 75% of SMA progenies were type 1 and 25% were type 2/3. However, when the parents carried three copies of SMN2, their SMA progenies were all 2/3 type. Therefore, it is very important to understand the pathological genetic characteristics of patients, which directly affects the diagnosis and treatment of patients.

To further improve our understanding of genetic variation in patients with SMA, in this study, multiplex ligation probe amplification (MLPA) was firstly used for preliminary diagnosis in 28 core families of suspected SMA patients, and then the complete gene sequence of SMN1 gene was detected by high-throughput sequencing to find more mutations in the 28 core families. Afterwards, 20 children diagnosed with SMA and 5 children diagnosed with non SMA were enrolled, and the whole exome screening of other related genes was performed to explore more genes and mutations involved in the onset of SMA.


Patients and samples

From December 2013 to May 2017, 28 probands of clinically suspected SMA, 15 males and 13 females, were accepted by our hospital (Tianjin Children’s Hospital, Tianjin, China) because of unstable walking, and their age ranging from 1 month to 12 years. The phenotypes of their parents were normal. 3–5 ml peripheral blood samples from the 83 enrolled cases (probands and their parents) were collected. All the subjects signed the informed consent forms for genetic testing routinely, and all procedures were in accordance with the ethical standards of the institutional and/or national research committee.


Extracted Genomic DNA with the salting out method. The nucleic acid quantitative instrument NADO DROP 2000 (Thermo Fisher Scientific Inc., Waltham, USA) was utilized to determine the quality and quantity of the extracted DNA. MLPA was performed using a SALSA MLPA Kit P021 (MRC-Holland, Amsterdam, Netherlands) according to the manufacturer’s protocol. MLPA products were run on an ABI PRISM 3130 genetic analyzer (Applied Biosystems International Inc., California, USA). The evaluation criteria were based on the kit instructions: in normal individuals, SMN1 exon7 is 2 copies; the SMN1 gene of patients with homozygous deletion and carriers with heterozygous deletion is 0 copies and 1copy, respectively [12, 13].

SMN1 gene screening by high-throughput sequencing

The complete genome sequence of SMN1 gene was detected from above 83 enrolled cases via high-throughput sequencing. Firstly, high-molecular-weight genomic DNAs were extracted with the DNeasy Blood and Tissue kit (QIAGEN, Dusseldorf, Germany) and 10 μg genomic DNA was used for library generation according to the manufacturer’s recommendations. Secondly, the Illumina HiSeq-2500 platform (Illumina, California, USA) was used to conduct the sequencing reaction based on the manufacturer’s protocol. The average sequencing depth was 100×, and more than 96% regions was up to 20×. Thirdly, the raw data were compared with human genome (NCBI build 36, hg18), and marked repeated reads and filtered out low-quality data. Fourthly, the base quality of reads was calibrated again by the genome analysis toolkit (GATK) algorithm, and ultimately all the a single base of DNA (point mutation) or a loss of base pairs (deletion) were screened out with the GATK software V3.0 (Eli and Edythe L. Broad Institute, Massachusetts, USA) [14]. The QC30 of the raw data was more than 85% in all samples, and the allele frequency of all mutations was more than 20%.

The whole exome screening by high-throughput sequencing

Based on previous results, 20 SMA patients with homozygous deletion of SMN1 exon7 were selected from the 28 probands, and 5 non SMA children were as controls (2 children carried with heterozygous deletion of SMN1 exon7 and 3 children with 2 SMN1 exon7 copies). Whole exome high-throughput sequencing was performed by The Life Technologies SOLiD™ (version 3) technology with mate-pair chemistry. 20 μg high-molecular-weight genomic DNAs was used for library generation. The raw data were analyzed with GATK software. The average sequencing depth was 100×, and more than 96% regions was up to 20×. The QC30 of the raw data was more than 85% in all samples, and the allele frequency of all mutations was more than 40%.



MLPA results showed that 22 probands were with homozygous deletion of SMN1 exon7 (SMA patients), 3 probands carried with heterozygous deletion of SMN1 exon7 (carriers), and 3 probands with 2 SMN1 copies (normal individuals). However, the mother of a SMA patient had 3 SMN1 exon7 copies and the father was carrier, and the father of another SMA patient had 3 SMN1 exon7 copies and the mother was carrier. Here, we recorded the above 2 SMA patients as Proband-1 and Proband-2, respectively. Furthermore, 1 carrier, a 2-year old girl, had some clinical features that correspond to SMA, such as atrophy of skeletal muscles, generalized weakness and extensive neurogenic injury by electromyography. Here, the carrier was named as Proband-3. Besides, the father of Proband-3 was without heterozygous deletion of SMN1 exon7 and exon8, and the mother was a carrier.

Novel mutations of SMN1 in suspected SMA family

A total of 6 single nucleotide variants (SNVs) of SMN1 were identified in the 83 samples, and they were showed in Table 1. Three SNVs located in exon, 1 in UTR5 and 2 in intron; c.[84C > T], c.[271C > T], c.[−39A > G] and g.[70240639G > C] were firstly reported here; c.[84C > T] and c.[462A > G] were synonymous mutations, and c.[271C > T] were stop-gain; c.[271C > T] caused changes in encoded amino acids. Furthermore, c.[271C > T] was found in Proband-3 and her father, and c.[462A > G] was occurred in 17 SMA patients, 2 carrier and 2 normal individuals. In addition, 1 carrier was with c.[84C > T], 1 SMA patient with c.[−39A > G], and 1 SMA patient with g.[70240639G > C].

Table 1 Mutations in SMN1

Novel mutations occurred in only SMA patients

Compared with control group, a total of 9102 mutation were selected out in SMA patients with homozygous deletion of SMN1 exon7. They were located in the exon region, and occurred only in SMA patients not in carriers and normal individuals. Among them, 2415 genes and some indefinite genes were included, and 8619 SNVs, 267 deletions and 216 inserts were contained. Here, the indefinite genes were removed, and the 30 most frequent mutations were showed in Table 2 (Frequency ≥ 50%). It was obvious from Table 2 that only the MCCC2 missense mutation c.[1001A > G] located on chromosome 5q13, which was the same location as SMN1 and SMN2. The others were unlinked to 5q13.

Table 2 The 30 most frequent mutations in SMA patients


Since both the clinical features and the mutation characteristics of SMA are obvious, the diagnosis of SMA is considered as relatively easy process. However, a recent review reported that the diagnostic process for SMA is not always simple, and there is usually a delay between the onset of clinical features and the diagnosis in all types of SMA [15]. At present, MLPA is the gold standard for clinical diagnosis of SMA. However, MLPA can only detect the deletion of SMN1 according to the gene copy number, not detect point mutations of SMN1. It is well known that about 4% of SMA patients bear one SMN1 copy with an intragenic mutation. Therefore, some SMA patients are inevitably misdiagnosed as carriers. In addition, the emergence of new therapies increases the need for early diagnosis of SMA, the approval of therapies and the neonatal screening programs urgently require a more detailed understanding of genetic variation [16]. In this study, Proband-3 was with one SMN1 copy and the SMN1 stop-gain mutation c.[271C > T], and the heterozygous deletion of SMN1 exon 7 was from her mother, and the SMN1 stop-gain mutation c.[271C > T] from her father. The SMN1 stop-gain mutation c.[271C > T] was never reported before, and it led to a amino acid change. Although MLPA results showed Proband-3 to be carrier, some SMA-related clinical features were occurred on her. Here, we suspected that Proband-3 might be a SMA patient caused by the heterozygous deletion of SMN1 exon 7 combined with the SMN1 stop-gain mutation c.[271C > T]. Simultaneously, c.[271C > T] might be involved in the onset of SMA. In addition, [2 + 0] genotype carriers are two SMN1 copies on one chromosome and with deletion of SMN1 on the other chromosome [17]. In this article, we found 2 patients (Proband-1 and Proband-2) whose one parent was carriers and the other parent with 3 SMN1 exon7 copies (Proband-1’s mother and Proband-2’s father). Based on our results we suspected that Proband-1’s mother and Proband-2’s father might be [2 + 0] genotype carriers.

SMN1 and SMN2 present on chromosome 5q13, and of the 5q13-linked SMA patients, 96.4% show homozygous absence of SMN1 exons 7 and 8 or exon 7 only, whereas 3.6% present a compound heterozygosity with a subtle mutation on one chromosome and a deletion/gene conversion on the other chromosome [6]. Due to the complexity of 5q chromosome structure, the mechanism of SMA has not been fully elucidated. For example, the rare variations in SMN2 have been described by several studies [18,19,20], and some scholars believe that the variations in SMN2 locus, such as the deletion of adjacent NAIP1 gene, will affect or even change the severity of SMA [21, 22]. With the development of bioinformatics, more and more mutations have been discovered in SMN1, and some of them possess significant clinical implications. Yamamoto et al. [23] revealed 4 intragenic mutations (p.Ala2Val, p.Trp92Ser, p.Thr274TyrfsX32 and p.Tyr277Cys), and location of the mutations were associated with the clinical severity of SMA. Ronchi et al. [24] described a novel SMN1 mutation that affected the donor splice site of exon 7 and resulted in an unusually severe SMA phenotype with rapid fatal outcome in an Italian infant. In this article, we found 6 SMN1 SNVs in 28 core families of suspected SMA patients, including 4 novel mutations c.[84C > T], c.[271C > T], c.[−39A > G] and g.[70240639G > C], which had never been previously reported. Besides, we identified more mutations combined with homozygous absence of SMN1 exons7 (Table 2). The 3 most frequent mutations were the insertion mutation c.[−41_-40insCTCT] in SPTA1 exon1 (rs111674514), the SNV c.[1001A > G] in FUT5 exon2 (rs778984), and the SNV c.[−117A > G] in MCCC2 exon1 (rs11746722). SPTA1 encodes the human erythroid alpha-spectrin, which is an actin crosslinking and molecular scaffold protein that links the plasma membrane to the actin cytoskeleton, and functions in the determination of cell shape, arrangement of transmembrane proteins, and organization of organelles [25, 26]. Mutations in SPTA1 can lead to a variety of hereditary red blood cell disorders, including elliptocytosis type 2, pyropoikilocytosis, and spherocytic hemolytic anemia [27, 28]. FUT5 encodes alpha1,3-fucosyltransferase in human, the down-regulation of FUT5 reduces the expression of sialyl-Lewis antigens and the adhesion and binding capacities of gastric cancer cells [29]. Gene transfer of alpha1,3-fucosyltransferase increased tumor growth of the PC-3 human prostate cancer cell line through enhanced adhesion to prostatic stromal cells [30]. Methylcrotonyl CoA carboxylase β (MCCβ) is encoded by MCCC2, and point mutations and deletion events in MCC2 can lead to MCC deficiency [31]. MCC deficiency is a rare autosomal recessive genetic disorder whose clinical presentations range from benign to profound metabolic acidosis and death in infancy, which is has something in common with SMA in some ways. MCCC2 locates on chromosome 5q13, which was the same as SMN1. Some studies indicated that SMN1 was the causative gene, and other genes on 5q13 region acted as modifier gene (such as SMN2, NAIP and GTF2H2), which were associated with disease severity [32]. The mutations rs111674514 in SPTA1, rs778984 in FUT5 and rs11746722 in MCCC2 have been identified previously, but the clinical significance remains uncertain. In this article, we found they were widely prevalent in SMA patients, and almost nonexistent in non-patients. Therefore, it suggested they might be involved in the morbidity of SMA.

One limitation of this study is the failure to use healthy children as control. The reason is that the children involving in this study are younger (0 to 12 years old), many parents are reluctant to let their healthy children participate in the study because of insufficient understanding of genetic testing. Another objective reason is that the cost of sequencing is high, so parents of healthy children are unwilling to pay for it. However, in terms of the rationality of the entire study, we really should add healthy children as control to make our research more complete, and that is what we will improve in the follow-up related studies. In contrast, using non-SMA patients with similar clinical characteristics of SMA as a control could exclude some genetic mutations that may lead to similar clinical characteristics of children with SMA, so as to make the object of this study more accurate. Using this population as a control can exclude other mutations that may cause dyskinesia, and only retain mutations unique to SMA patients.


We found more mutations in both SMN1 and other genes, and some of them were associated with the onset of SMA, such as the SMN1 stop-gain mutation c.[271C > T], the SPTA1 insertion mutation c.[−41_-40insCTCT], the FUT5 SNV c.[1001A > G], and the MCCC2 SNV c.[−117A > G].

Availability of data and materials

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



Spinal muscular atrophy


Multiplex ligation probe amplification


Single nucleotide variants


Survival of motor neuron


Neuronal apoptosis inhibitory protein


Genome analysis toolkit


Methylcrotonyl CoA carboxylase β


  1. 1.

    Lunn MR, Wang CH. Spinal muscular atrophy. Lancet. 2008;371:2120–33.

    Article  Google Scholar 

  2. 2.

    Sheng-Yuan Z, Xiong F, Chen YJ, Yan TZ, Zeng J, Li L, et al. Molecular characterization of SMN copy number derived from carrier screening and from core families with SMA in a Chinese population. Eur J Hum Genet. 2010;18:978–84.

    Article  Google Scholar 

  3. 3.

    Kolb SJ, Kissel JT. Spinal muscular atrophy. Neurol Clin. 2015;33:831–46.

    Article  Google Scholar 

  4. 4.

    Ottesen EW. ISS-N1 makes the first FDA-approved drug for spinal muscular atrophy. Transl Neurosci. 2017;8:1–6.

    CAS  Article  Google Scholar 

  5. 5.

    Prior TW, Nagan N. Spinal muscular atrophy: overview of molecular diagnostic approaches. Curr Protoc Hum Genet. 2016;88:9–27.

    Google Scholar 

  6. 6.

    Wirth B. An update of the mutation spectrum of the survival motor neuron gene (SMN1) in autosomal recessive spinal muscular atrophy (SMA). Hum Mutat. 2000;15:228–37.

    CAS  Article  Google Scholar 

  7. 7.

    Stabley DL, Harris AW, Holbrook J, Chubbs NJ, Lozo KW, Crawford TO, et al. SMN1 and SMN2 copy numbers in cell lines derived from patients with spinal muscular atrophy as measured by array digital PCR. Mol Genet Genomic Med. 2015;3:248–57.

    CAS  Article  Google Scholar 

  8. 8.

    Zabnenkova VV, Dadali EL, Artemieva SB, Sharkova IV, Rudenskaya GE, Polyakov AV. SMN1 gene point mutations in type I–IV proximal spinal muscular atrophy patients with a single copy of SMN1. Genetika. 2015;51:1075–82.

    Google Scholar 

  9. 9.

    He J, Zhang QJ, Lin QF, Chen YF, Lin XZ, Lin MT, et al. Molecular analysis of SMN1, SMN2, NAIP, GTF2H2, and H4F5 genes in 157 Chinese patients with spinal muscular atrophy. Gene. 2013;518:325–9.

    CAS  Article  Google Scholar 

  10. 10.

    Zeng G, Zheng H, Cheng J, Chen R, Lin H, Yang J, et al. Analysis and carrier screening for copy numbers of SMN and NAIP genes in children with spinal muscular atrophy. Chinese J Med Genet. 2014;31:152–5.

    CAS  Google Scholar 

  11. 11.

    Cao Y, Qu Y, Bai J, Cheng M, Jin Y, Wang H, et al. Transmission characteristics of SMN from 227 spinal muscular atrophy core families in China. J Hum Genet. 2020;5:1–5.

    Google Scholar 

  12. 12.

    Liu Z, Zhang P, He X, Liu S, Tang S, Zhang R, et al. New multiplex real-time PCR approach to detect gene mutations for spinal muscular atrophy. BMC Neurol. 2016;16:141.

    Article  Google Scholar 

  13. 13.

    Sheth J, Mistri M, Bhavsar R, Pancholi D, Kamate M, Gupta N, et al. Batten disease: biochemical and molecular characterization revealing novel PPT1 and TPP1 gene mutations in Indian patients. BMC Neurol. 2018;18:203 Chen X, Tong Y, Shi Z, Chen H, Yang Z, Wang Y, et al. Noninvasive molecular diagnosis of craniopharvngioma with MRI-based radiomics approach. BMC Neurol. 2019;19:6.

    CAS  Article  Google Scholar 

  14. 14.

    Chen X, Tong Y, Shi Z, Chen H, Yang Z, Wang Y, et al. Noninvasive molecular diagnosis of craniopharvngioma with MRI-based radiomics approach. BMC Neurol. 2019;19:6.

    Article  Google Scholar 

  15. 15.

    Lin CW, Kalb SJ, Yeh WS. Delay in diagnosis of spinal muscular atrophy: a systematic literature review. Pediatr Neurol. 2015;4:293–300.

    Article  Google Scholar 

  16. 16.

    Pera MC, Coratti G, Berti B, D'Amico A, Sframeli M, Albamonte E, et al. Diagnostic journey in spinal muscular atrophy: is it still an odyssey? PLoS One. 2020;3:e0230677.

    Article  Google Scholar 

  17. 17.

    Ar Rochmah M, Awano H, Awaya T, Harahap NIF, Morisada N, Bouike Y, et al. Spinal muscular atrophy carriers with two SMN1 copies. Brain and Development. 2017;39:851–60.

    Article  Google Scholar 

  18. 18.

    Wu X, Wang SH, Sun J, Krainer AR, Hua Y, Prior TW. A-44G transition in SMN2 intron 6 protects patients with spinal muscular atrophy. Hum Mol Genet. 2017;26:2768–80.

    CAS  Article  Google Scholar 

  19. 19.

    Calucho M, Bernal S, Alias L, March F, Vencesla A, Rodriguez-Alvarez FJ, et al. Correlation between SMA type and SMN2 copy number revisited: an analysis of 625 unrelated Spanish patients and a compilation of 2834 reported cases. Neuromuscul Disord. 2018;28:208–15.

    Article  Google Scholar 

  20. 20.

    Ruhno C, McGovern VL, Avenarius MR, Snyder PJ, Prior TW, Nery FC, et al. Complete sequencing of the SMN2 gene in SMA patients detects SMN gene deletion junctions and variants in SMN2 that modify the SMA phenotype. Hum Genet. 2019;138:241–56.

    Article  Google Scholar 

  21. 21.

    Riessland M, Kaczmarek A, Schneider S, Swoboda KJ, Lohr H, Bradler C, et al. Neurocalcin delta suppression protects against spinal muscular atrophy in humans and across species by restoring impaired endocytosis. Am J Hum Genet. 2017;100:297–315.

    CAS  Article  Google Scholar 

  22. 22.

    Wadman RI, Jansen MD, Curial CAD, Groen EJN, Stam M, Wijngaarde CA, et al. Analysis of FUS, PFN2, TDP-43, and PLS3 as potential disease severity modifiers in spinal muscular atrophy. Neurol Genet. 2020;6:e386.

    CAS  Article  Google Scholar 

  23. 23.

    Yamamoto T, Sato H, Lai PS, Nurputra DK, Harahap NI, Morikawa S, et al. Intragenic mutations in SMN1 may contribute more significantly to clinical severity than SMN2 copy numbers in some spinal muscular atrophy (SMA) patients. Brain and Development. 2014;36:914–20.

    Article  Google Scholar 

  24. 24.

    Ronchi D, Previtali SC, Sora MG, Barera G, Del Menico B, Corti S, et al. Novel splice-site mutation in SMN1 associated with a very severe SMA-I phenotype. J Mol Neurosci. 2015;56:212–5.

    CAS  Article  Google Scholar 

  25. 25.

    Govindaraj V, Rao AJ. Proteomic identification of non-erythrocytic alpha-spectrin-1 down-regulation in the pre-optic area of neonatally estradiol-17beta treated female adult rats. Horm Mol Biol Clin Investig. 2016;26:165–72.

    CAS  Google Scholar 

  26. 26.

    Speicher DW. Structural and functional features of the alpha-1 domain from human erythrocyte spectrin. Prog Clin Biol Res. 1984;165:441–56.

    CAS  Google Scholar 

  27. 27.

    Niss O, Chonat S, Dagaonkar N, Almansoori MO, Kerr K, Rogers ZR, et al. Genotype-phenotype correlations in hereditary elliptocytosis and hereditary pyropoikilocytosis. Blood Cells Mol Dis. 2016;61:4–9.

    CAS  Article  Google Scholar 

  28. 28.

    Han E, Kim A, Park J, Kim M, Kim Y, Han K, et al. Spectrin Tunis (Sp alpha (I/78)) in a Korean family with hereditary elliptocytosis. Ann Lab Med. 2013;33:386–9.

    CAS  Article  Google Scholar 

  29. 29.

    Padro M, Cobler L, Garrido M, de Bolos C. Down-regulation of FUT3 and FUT5 by shRNA alters Lewis antigens expression and reduces the adhesion capacities of gastric cancer cells. Biochim Biophys Acta. 1810;2011:1141–9.

    Google Scholar 

  30. 30.

    Inaba Y, Ohyama C, Kato T, Satoh M, Saito H, Hagisawa S, et al. Gene transfer of alpha1,3-fucosyltransferase increases tumor growth of the PC-3 human prostate cancer cell line through enhanced adhesion to prostatic stromal cells. Int J Cancer. 2003;107:949–57.

    CAS  Article  Google Scholar 

  31. 31.

    Morscher RJ, Grunert SC, Burer C, Burda P, Suormala T, Fowler B, et al. A single mutation in MCCC1 or MCCC2 as a potential cause of positive screening for 3-methylcrotonyl-CoA carboxylase deficiency. Mol Genet Metab. 2012;105:602–6.

    CAS  Article  Google Scholar 

  32. 32.

    Theodorou L, Nicolaou P, Koutsou P, Georghiou A, Anastasiadou V, Tanteles G, et al. Genetic findings of Cypriot spinal muscular atrophy patients. Neurol Sci. 2015;36:1829–34.

    CAS  Article  Google Scholar 

Download references


We would like to thank all the participants and their families who took part in this research.


This work was supported by the National Natural Science Foundation of China [grant number 81771589]; the Program of Tianjin Science and Technology Plan [grant number 18ZXDBSY00170]; and the Key Project of Tianjin Health Care Professionals [grant number 16KG166]. The fund body was not involved in the project design, data collection, analysis, etc.

Author information




CQC and JBS designed the study and drafted the initial manuscript, and revised the manuscript. RPZ participated in the design of study and critically reviewed the manuscript. CYG and LJP collected samples and critically reviewed the manuscript. CYG, LJP and YTM analyzed and interpreted data and reviewed the manuscript. All authors provided substantial contributions to the conception or design of the work, or the acquisition, analysis, or interpretation of data for the paper, revised the manuscript for important intellectual content, approved the final version, and agreed to be accountable for all aspects of the work.

Corresponding authors

Correspondence to Jianbo Shu or Chunquan Cai.

Ethics declarations

Ethics approval and consent to participate

All the subjects signed the informed consent forms for genetic testing routinely, and the study was approved by the medical ethics committee of Tianjin Children’s Hospital. A written informed consent was obtained from the parents and informed assent from the children and adolescents.

Consent for publication

Not applicable.

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.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Zhang, R., Gu, C., Pu, L. et al. High-throughput screening reveals novel mutations in spinal muscular atrophy patients. Ital J Pediatr 46, 166 (2020).

Download citation


  • Spinal muscular atrophy (SMA)
  • High-throughput sequencing
  • SMN1
  • Onset