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Clinical and whole-exome sequencing findings in two siblings from Hani ethnic minority with congenital glycosylation disorders

Abstract

Background

PMM2-CDG, is the most common N-linked glycosylation disorder and subtype among all CDG syndromes, which are a series of genetic disorders involving the synthesis and attachment of glycoproteins and glycolipid glycans. The mutations of PMM2-CDG might lead to the loss of PMM2, which is responsible for the conversion of mannose 6- phosphate into mannose 1-phosphate. Most patients with PMM2-CDG have central nervous system involvement, abnormal coagulation, and hepatopathy. The neurological symptoms of PMM2-CDG are intellectual disability (ID), cerebellar ataxia, and peripheral neuropathy. Now, over 100 new CDG cases have been reported. However, each type of CDG is very rare, and CDGs are problematic to diagnose. In addition, few CDGs have been reported in the Chinese population.

Case presentation

Here we present a Hani ethnic minority family including two siblings with congenital glycosylation disorders. Whole-exome sequencing revealed compound heterozygous for one novel mutation (c.241–242 del variant) and previously reported mutation (c.395 T > C) in gene of PMM2. Two mutations were found in proband and her sibling by whole-exome sequencing. The mutations were identified in this family by Sanger sequencing and no mutations were detected in the normal control.

Conclusions

This is the first report to describe mutations in two siblings of Hani ethnic minority which is one of five ethnic groups found only in Yunnan with a population of more than 1 million.

Peer Review reports

Background

CDGs (Congenital disorder of glycosylation), which are clinically characterized by the defective glycosylation of proteins and lipids, often cause serious, sometimes fatal, malfunctions of several different organ systems, especially the nervous, muscular, immune, hepatic and gastrointestinal systems [1, 2]. In 1991, these diseases were originally called carbohydrate-deficient glycoprotein syndromes and encompassed all types of disorders involving glycoconjugates [3]. In 1999, CDGSs were renamed CDGs [4]. By 2013, the number of CDGs had increased dramatically, with a new glycosylation disorder reported every 17 days, and since then, the reported number of CDGs has surpassed 100, with on-going characterization of new subsets [5, 6]. CDGs, which are autosomal recessive inherited disorders, affect glycan synthesis and include disorders involving protein N-glycosylation, protein O-glycosylation, lipid and glycosylphosphatidylinositol anchor glycosylation and multiple glycosylation pathways [7, 8]. There are two subgroups of protein N-glycosylation diseases, type I CDG (CDG-I) and type II CDG (CDG-II). The largest group, CDG-I, results from defects either in the assembly of the lipid-linked oligosaccharide precursor Glc3Man9GlcNAc2-P-P-dolichol or in its transfer to the nascent polypeptides in the endoplasmic reticulum [9]. The second subgroup, CDG-II, results from the remodelling of protein-bound glycan chains or from alterations in their processing [10].

The most common N-linked glycosylation disorder, PMM2-CDG, which is recessively inherited and is also one of the most common subtypes of CDGs overall, is caused by the lack of phosphomannomutase 2 (PMM2). Mutations in PMM2 might reduce the activity of the phosphomannomutase enzyme, which converts mannose 6-phosphate into mannose 1-phosphate [11, 12]. Depending on the affected organs, there is a wide variety of clinical manifestations that characterize PMM2-CDG, and the PMM2-CDG phenotype varies from very severe to mild [13]. The symptoms of PPM2-CDG include intellectual disability, cerebellar dysfunction, and hypotonia [12]. However, the clinical signs indicating each subtype of PMM2-CDG are difficult to discern because clinical variability is seen not only among patients with the same PMM2 genotypes but also between affected siblings and monozygotic twins [14]. Additionally, few CDGs have been reported in the Chinese population, especially among children in Yunnan Province. Congenital disorders of glycosylation with normal cognitive development in children from the Yun-Gui Plateau have not been systemically studied, and their pathophysiology is not fully understood.

Here, we identified and reported the mutations in one Hani ethnic minority family with two siblings affected from Yunnan, which has been inhabited by 26 different ethnicities throughout history.

Case presentation

Patient recruitment

One non-consanguineous Honghe Hani ethnic minority family from the Yun-Gui Plateau was recruited by the Children’s Hospital of Kunming Medical University for genetic diagnosis. In this family, two siblings suffered from congenital disorders of glycosylation, but the parents and other members were normal. Additionally, 30 individuals of normal control without associated hereditary diseases were enrolled in this study, including 20 males and10 females. Blood samples were collected on February 7th, 2017.This study was approved by the Ethics Committee of the Children’s Hospital of Kunming Medical University, and written informed consent was obtained from the participants or their guardians.

Clinical presentation

Pedigree of this family was told by the parents of proband. This family includes two affected siblings with CDGs, an 8-year-old girl (the proband) and a 2-year-old boy. The other members of this family are normal.

The proband (IV6 in Fig. 1), was born at 40 weeks of gestation without asphyxia by caesarean delivery to healthy Hani Chinese parents. The patient’s birthweight was 2.9 kg, and she was first diagnosed with an inherited metabolic disease at the age of 8 months. When she was 91 months old, she presented with delayed motor skills, muscular hypotonia, strabismus, an underdeveloped cerebellum. She also had blood clotting disorders, intellectual disability and a failure to gain weight or thrive. She was unable to walk independently. Her speech development was delayed and had dysarthria.

Fig. 1
figure 1

Pedigree of family 1 with CDG. Unaffected subjects are denoted as blank while affected subjects are represented with darkened symbols. The arrow indicates the proband

Her younger affected sibling, a 2-year-old boy (IV7 in Fig. 1), had delayed motor skills, muscular hypotonia, strabismus, an underdeveloped cerebellum. He also had intellectual disability and a failure to gain weight or thrive. He was unable to walk independently. His speech development was delayed and had dysarthria.

The parents were not a consanguineous couple, and they denied any family history of CDGs. The clinical characteristics of this family are summarized in Table 1 and the CT of the proband is shown in Fig. 2.

Table 1 Summary of the clinical presentation of patients with mutations
Fig. 2
figure 2

CT imaging showed the unclear of cerebellar vermis and enlarged fourth ventricle of the proband

Whole-exome sequencing (WES)

Using Bcl2Fastq software (Bcl2Fastq 2.18.0.12, Illumina, Inc.), raw image files were processed for base calling and raw data generation. Then, Short Oligonucleotide Analysis Package (SOAP) aligner software (SOAP2.21,soap.genomics.org.cn/soapsnp.html) was used to align the clean reads to the reference human genome (UCSC hg19, http://genome.ucsc.edu/). Polymerase chain reaction (PCR) duplicates were removed by the Picard programme [15, 16]. The single nucleotide polymorphisms (SNPs) were determined by the SOAPsnp programme [17]. The reads were realigned by Burrows-Wheeler Aligner (BWA) software 0.7.15, and the deletions and insertions (indels) were detected by Genome Analysis Toolkit software 3.7. In addition, the identified indel SNPs were annotated using the Exome-assistant programme (http://122.228.158.106/exomeassistant). To determine their pathogenicity, non-synonymous variants were evaluated by four algorithms, namely, PolyPhen (http://genetics.bwh.harvard.edu/pph2/), Protein Analysis Through Evolutionary Relationships (PANTHER, www.pantherdb.org), Sorting Intolerant from Tolerant [SIFT, (http://sift.jcvi.org/)] and Pathogenic Mutation Prediction (Pmut; http://mmb.pcb.ub.es/PMut/).

WES was used to sequence the genes of the these two siblings. Exome sequencing produced about 160.55 and 80.6 million reads with a read length of 143 and 149 bp in the proband and proband’s sibling, respectively. There were 160.05 and 80.52 million reads aligned to the human genome respectively; 22,781.9 and 12,001.58 Mb were mapped to the target region with a mean coverage of 99.68 and 99.87 respectively. 33,532 and 42,423 SNPs, including 12,392 and 12,379 non-synonymous SNPs in the coding sequence and 1033 and 1017in the splice sites, were respectively detected. 1443 and 1466 indels, including 597and 587 in the coding sequence and 322and 358 in the splice sites, were respectively identified.

The compound heterozygous for PMM2 c.241–-242 del (in exon 3) and c.395 T > C (in exon 5) mutations were found in these siblings (Table 2).

Table 2 Identified mutations

Identification of pathogenic mutations

The heterozygous PMM2 c.241–242 del and c.395 T > C mutations identified in this family were confirmed by Sanger sequencing: The heterozygous PMM2 c.241–242 del and c.395 T > C were identified in the proband’s affected brother (Fig. 3); The heterozygous PMM2 c.241–242 del and c.395 T > C were identified in the proband’s unaffected mother and unaffected father, respectively. Additionally, these two variants were absent in 30 normal control individuals.

Fig. 3
figure 3

Partial electropherograms of the genomic region covering the genes: The heterozygous PMM2 c.241-242del variant. Arrows denote the mutations. a the proband; b the younger affected brother; c the unaffected father; d the unaffected mother

Discussion and conclusions

In humans, PMM1 and PMM2 are two paralogous enzymes [18]. PMM1 has never been associated with human disease, while mutations in PMM2 cause PMM2-CDG. In humans, homozygous mutations of PMM2 have never been observed. This indicates that the total absence of the PMM2 enzyme is not compatible with life [19]. These findings have been confirmed in mice, and the disruption of PMM1 results in no apparent deleterious effects in mouse embryos [20], whereas the disruption of PMM2 causes early embryonic lethality [21].

PMM2-CDG, a disease with defective N-glycan assembly, is caused by the lack of PMM2 activity [22]. The mutation of the PMM2 gene results in enzymatic deficiency, reducing the amount of GDP-mannose, which is required for the synthesis of the lipid-linked oligosaccharide precursor. The common symptoms are intellectual disability, cerebellar dysfunction, and hypotonia [23]. More than 50% of affected individuals have intellectual disabilities with scores ranging from very low to below average [12, 24].

In our study, when the proband saw the doctor to cure refractory thrombocytopenia, the common.

symptoms of CDG, such as intellectual disability, hypotonia, and cerebellar dysfunction, were observed in the two affected siblings via inquiring medical history. Though these siblings suffered from this disease, their parents didn’t know which affected their children’s intellectual disabilities and agreed to accepted gene testing. So, WES was used to screen genes of these siblings. The heterozygous PMM2 c.241–242 del variant and c.395 T > C were observed in these siblings. Then, using Sanger sequencing, the heterozygous PMM2 c.241–242 del variant and c.395 T > C were identified in unaffected mother and unaffected father, respectively.

In this family, the proband (IV6) and her younger sibling (IV7) were affected while their elder half-brother is normal (see Fig. 1 IV1). To our best knowledge, the compound heterozygous for one mutation (c.241–242 del variant) and mutation (c.395 T > C) in gene of PMM2 might account for these two sibling’s CDGs.

According to PubMed, there are over 100 CDGs [25], but reports of CDGs are uncommon in Asian patients [26]; there have been few reports of CDGs in Chinese patients, although one paper reported two Chinese female infants with CDGs who had PMM2 gene mutations [27]. This might account that doctor didn’t give parent “a definitive diagnosis” when the proband was the age of 8 months.

To the best of our knowledge, this is the first report of individuals with CDGs in Yunnan Province which has been inhabited by 26 ethnic minority groups throughout history.

Of these 26 ethnic minority groups, 15 are found only in Yunnan and five ethnic groups have a population of more than 1 million. Hani ethnic minority group is one of five and more than 95% of their population live in Yunnan. In our study, this Hani ethnic minority family has two children with PMM2-CDG; the proband did not receive a molecular diagnosis, so this family did not obtain a prenatal genetic diagnosis before another child was born. This might be due to the fact that the counties and towns in Yunnan Province are insular, resulting in low awareness of this disorder among healthcare staff. Thus, we performed this study to characterize the type of CDG and to advise these ethnic minority parents in Yunnan Province to obtain a prenatal diagnosis in the future.

In conclusion, we have identifiedcompound heterozygous mutations in the genes of PMM2 (c.241–242 del and c.395 T > C) of a Hani ethnic minority family, which broadens the spectrum of CDGs gene mutations in Chinese patients of Hani ethnic minority.

Availability of data and materials

The analyzed data sets generated during the study are available from the corresponding authors upon reasonable request.

Abbreviations

CDGs:

Congenital disorder of glycosylation

ID:

Intellectual disability

LRT:

A likelihood ratio test

PMM2:

Phosphomannomutase 2

SIFT:

Sorting Intolerant from Tolerant

WES:

Whole-exome sequencing

References

  1. Freeze HH, Aebi M. Altered glycan structures: the molecular basis of congenital disorders of glycosylation. Curr Opin Struct Biol. 2005;15(5):490–8.

    Article  CAS  PubMed  Google Scholar 

  2. Freeze HH, Eklund EA, Ng BG, Patterson MC. Neurological aspects of human glycosylation disorders. Annu Rev Neurosci. 2015;38(1):105–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Jaeken J, Stibler H, Hagberg B. The carbohydrate-deficient glycoprotein syndrome. A new inherited multisystemic disease with severe nervous system involvement. Acta Paediatr Scand Suppl. 1991;375:1–71.

    CAS  PubMed  Google Scholar 

  4. Aebi M, Helenius A, Schenk B, Barone R, Fiumara A, Berger EG, Hennet T, Imbach T, Stutz A, Bjursell C, et al. Carbohydrate-deficient glycoprotein syndromes become congenital disorders of glycosylation: an updated nomenclature for CDG. First international workshop on CDGS. Glycoconj J. 1999;16(11):669–71.

    Article  CAS  PubMed  Google Scholar 

  5. Varki A. Biological roles of glycans. Glycobiology. 2017;27(1):3–49.

    Article  CAS  PubMed  Google Scholar 

  6. Freeze HH, Chong JX, Bamshad MJ, Ng BG. Solving glycosylation disorders: fundamental approaches reveal complicated pathways. Am J Hum Genet. 2014;94(2):161–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Freeze HH. Genetic defects in the human glycome. Nat Rev Genet. 2006;7(7):537–51.

    Article  CAS  PubMed  Google Scholar 

  8. Hennet T. Diseases of glycosylation beyond classical congenital disorders of glycosylation. Biochim Biophys Acta Gen Subj. 2012;1820(9):1306–17.

    Article  CAS  Google Scholar 

  9. Bammens R, Mehta N, Race V, Foulquier F, Jaeken J, Tiemeyer M, Steet R, Matthijs G, Flanagan-Steet H. Abnormal cartilage development and altered N-glycosylation in Tmem165-deficient zebrafish mirrors the phenotypes associated with TMEM165-CDG. Glycobiology. 2015;25(6):669–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wolthuis DF, van Asbeck EV, Kozicz T, Morava E. Abnormal fat distribution in PMM2-CDG. Mol Genet Metab. 2013;110(3):411–3.

    Article  CAS  PubMed  Google Scholar 

  11. Vals MA, Morava E, Teeaar K, Zordania R, Pajusalu S, Lefeber DJ, Ounap K. Three families with mild PMM2-CDG and normal cognitive development. Am J Med Genet A. 2017;173(6):1620–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Maratha A, Colhoun HO, Knerr I, Coss KP, Doran P, Treacy EP. Classical Galactosaemia and CDG, the N-glycosylation Interface. A Review. JIMD Rep. 2017;34:33–42.

    Article  PubMed  Google Scholar 

  13. Schiff M, Roda C, Monin M, Arion A, Barth M, Bednarek N, Bidet M, Bloch C, Boddaert N, Borgel D, et al. Clinical, laboratory and molecular findings and long-term follow-up data in 96 French patients with PMM2-CDG (phosphomannomutase 2-congenital disorder of glycosylation) and review of the literature. J Med Genet. 2017;54(12):843–51.

    Article  CAS  PubMed  Google Scholar 

  14. Grunewald S. The clinical spectrum of phosphomannomutase 2 deficiency (CDG-Ia). Biochim Biophys Acta. 2009;1792(9):827–34.

    Article  PubMed  Google Scholar 

  15. Etherington GJ, Ramirez-Gonzalez RH, MacLean D. Bio-samtools 2: a package for analysis and visualization of sequence and alignment data with SAMtools in ruby. Bioinformatics. 2015;31(15):2565–7.

    Article  CAS  PubMed  Google Scholar 

  16. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. The sequence alignment/map format and SAMtools. Bioinformatics. 2009;25(16):2078–9.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Li R, Yu C, Li Y, Lam TW, Yiu SM, Kristiansen K, Wang J. SOAP2: an improved ultrafast tool for short read alignment. Bioinformatics. 2009;25(15):1966–7.

    Article  CAS  PubMed  Google Scholar 

  18. Pirard M, Collet JF, Matthijs G, Van Schaftingen E. Comparison of PMM1 with the phosphomannomutases expressed in rat liver and in human cells. FEBS Lett. 1997;411(2–3):251–4.

    Article  CAS  PubMed  Google Scholar 

  19. Matthijs G, Schollen E, Van Schaftingen E, Cassiman JJ, Jaeken J. Lack of homozygotes for the most frequent disease allele in carbohydrate-deficient glycoprotein syndrome type 1A. Am J Hum Genet. 1998;62(3):542–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Cromphout K, Vleugels W, Heykants L, Schollen E, Keldermans L, Sciot R, D'Hooge R, De Deyn PP, von Figura K, Hartmann D, et al. The normal phenotype of Pmm1-deficient mice suggests that Pmm1 is not essential for normal mouse development. Mol Cell Biol. 2006;26(15):5621–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Thiel C, Lubke T, Matthijs G, von Figura K, Korner C. Targeted disruption of the mouse phosphomannomutase 2 gene causes early embryonic lethality. Mol Cell Biol. 2006;26(15):5615–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Citro V, Cimmaruta C, Liguori L, Viscido G, Cubellis MV, Andreotti G. A mutant of phosphomannomutase1 retains full enzymatic activity, but is not activated by IMP: possible implications for the disease PMM2-CDG. PLoS One. 2017;12(12):e189629.

    Article  Google Scholar 

  23. Dinopoulos A, Mohamed I, Jones B, Rao S, Franz D, DeGrauw T. Radiologic and neurophysiologic aspects of stroke-like episodes in children with congenital disorder of glycosylation type Ia. PEDIATRICS. 2007;119(3):e768–72.

    Article  PubMed  Google Scholar 

  24. Coss KP, Doran PP, Owoeye C, Codd MB, Hamid N, Mayne PD, Crushell E, Knerr I, Monavari AA, Treacy EP. Classical Galactosaemia in Ireland: incidence, complications and outcomes of treatment. J Inherit Metab Dis. 2013;36(1):21–7.

    Article  CAS  PubMed  Google Scholar 

  25. Varki A. Biological roles of glycans. Glycobiology. 2016;27(1):3–49.

    Article  PubMed  Google Scholar 

  26. Thong MK, Fietz M, Nicholls C, Lee MH, Asma O. Congenital disorder of glycosylation type Ia in a Malaysian family: clinical outcome and description of a novel PMM2 mutation. J Inherit Metab Dis. 2009;32(Suppl 1):S41–4.

    Article  PubMed  Google Scholar 

  27. Ren C, Fang F, Huang Y, Cheng H, Dai L. Clinical and genetic analysis for two children with congenital disturbance of glycosylation with PMM2 gene mutations. Zhonghua Er Ke Za Zhi. 2015;53(12):938–42.

    PubMed  Google Scholar 

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Acknowledgements

We would like to thank Mrs. Yu Wang for advice regarding data analysis.

Funding

The present study was supported by funds from the Health,the Joint Fund of the Yunnan Science and Technology Department and Kunming Medical University and Family Planning Commission of Kunming and Yunnan, respectively [grants nos. 2016-SW (Sheng)-30, and 2017-SW(Yang)-02].

The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

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Authors

Contributions

Conceptualization: ZZ, and W-JH; data curation: ZZ, JM, and T-LH; funding acquisition: ZZ and W-JH; investigation: ZZ, T-LH, and W-JH; methodology: ZZ, T-LH, and W-JH; project administration: HG and W-JH; software: ZZ; supervision: W-JH and HG; writing - original draft: ZZ; writing - review and editing: ZZ and HG. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Wen-Ji He or Huaiyu Gu.

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Ethics approval and consent to participate

The present study was approved by the ethics committee of the Children’s Hospital, Kunming Medical University; written informed consent was obtained from participants or their guardians.

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Written informed consent for publication of their clinical details and data was obtained from their guardians.

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The authors declare that they have no competing interests.

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Zhang, Z., Huang, TL., Ma, J. et al. Clinical and whole-exome sequencing findings in two siblings from Hani ethnic minority with congenital glycosylation disorders. BMC Med Genet 20, 181 (2019). https://doi.org/10.1186/s12881-019-0902-z

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