Abstract
Introduction
The incidence and prevalence of congenital disorders of glycosylation (CDG) have not been well established. The aim of the study was to evaluate the prevalence, incidence and genotypes of CDG patients diagnosed during the last 23 years in Poland (1997 – 30th October 2020).
Material and methods
The diagnosis was based on serum Tf IEF which is performed at The Children's Memorial Health Institute (CMHI) in Warsaw. Based on demographic data, the prevalence of CDG among the Polish population in 2020 as well as the birth prevalence of CDG from 1990 to 2020 were estimated.
Results
39 patients (from 35 families) with molecularly confirmed CDG were diagnosed, including 17 (44%) patients (from 16 families) with PMM2-CDG. The c.422G > A, p.Arg141His and c.691G > A, p.Val231Met pathogenic missense variants were the most common identified PMM2 variants. Eleven other patients were diagnosed with CDG based on serum Tf IEF analysis only; the molecular analysis is pending. Ten CDG patients died, including 6 with PMM2-CDG, 1 with PGM1-CDG and 1 with DPAGT1-CDG. The prevalence of CDG in the Polish population was estimated at approximately 1 per million while that of PMM2 at 0.4 per million. The annual incidence of CDG was estimated at 0.013 per 100,000 people in 2020.
Conclusions
A low frequence of CDG in our study could be underestimated.
1. Introduction
Congenital disorders of glycosylation (CDG) are genetic defects in the synthesis of glycans and their attachment to proteins and lipids [1,2]. Phosphomannomutase 2 deficiency (PMM2-CDG) is the most common entity; since its first description (1980), more than 130 CDG subtypes have been reported [1,2]. The first-line screening test for N-glycosylation defects with sialic acid deficiency is still the serum transferrin (Tf) isoelectric focusing (IEF); however, normal results do not exclude CDG [3]. Since next-generation sequencing (NGS) became more widely available, an improvement in diagnostics has been observed, with more patients as well as novel subtypes being reported [1,2].
The incidence and prevalence of CDG have not been well established. The aim of the study was to evaluate the prevalence and incidence of CDG in Poland in patients diagnosed in the last 23 years in the CMHI in Warsaw.
2. Material and methods
Since 1995, CDG selective screening based on serum Tf IEF has been performed at our Institute (CMHI) for patients from the entire country. During the years 1995–2020, a total number of 23,183 serum Tf isoform analyses have been performed, while some patients underwent repeat analyses. In this cohort, 2822 samples were also investigated through collaborative initiatives of EUROGLYCAN (the years 2000–2003, 2822 analyses) and EUROGLYCANET (the years 2005–2009, 6098 analyses). Some of the patients have been previously reported [[21], [22], [23], [24], [25]].
According to Statistics of Poland, the population of Poland in 2020 amounted to 38,354,173 people. The demographic data are publicly available and are updated every 6 months; the most recent available dataset is from 30th June 2020 [4].
All CDG patients were enrolled into this study, from the first patient diagnosed in 1997, to the patients diagnosed until 30th October 2020. The prevalence of CDG in the Polish population in 2020 as well as the annual incidence were estimated based on newly diagnosed patients and the number of Polish inhabitants.
3. Results
39 patients (from 35 families) were diagnosed with molecularly confirmed CDG including 17 (44%) patients with PMM2-CDG (Table 1). Eleven other patients were diagnosed with CDG based on serum Tf IEF analysis only; the molecular analysis is pending.
Table 1.
CDG type | Number of patients/families | Diagnosis |
---|---|---|
PMM2-CDG (AR) | 17/16 | CDG type I based on Tf IEF in all (17); 9 patients diagnosed using both molecular and enzyme analysis; 7 patients diagnosed only using molecular analysis |
ALG13-CDG (X-linked) |
4/4 | 3 patients diagnosed first using molecular analysis (WES); Tf IEF normal in 1 of them, in another, it was indicative of CDG—I, and in the third one the disialo-Tf isoform was slightly elevated; In another patient, CDG type I based on Tf IEF confirmed by molecular analysis |
ALG1-CDG (AR) | 3/3 | CDG type I based on Tf IEF in all (3); Confirmed by molecular analysis |
ALG3-CDG (AR) | 1/1 | CDG type I based on Tf IEF; Confirmed by molecular analysis |
MPI-CDG (AR) | 3/2 | All diagnosed both using enzyme and molecular analysis |
PGM1-CDG (AR) | 1/1 | Diagnosed both using enzyme and molecular analysis |
SRD5A3-CDG (AR) | 4/3 | CDG type I based on Tf IEF in all (4); Confirmed by molecular analysis |
DPAGT1-CDG (AR) | 1/1 | CDG type I based on Tf IEF; Confirmed by molecular analysis |
ATP6AP1-CDG (X-linked) |
3/1 | CDG type II based on Tf IEF in all (3) Confirmed by molecular analysis |
ATP6V0A2-CDG (AR) | 1/1 | CDG type II based on Tf IEF; Confirmed by molecular analysis |
VMA21-CDG (X-linked) |
1/1 | CDG type II based on Tf IEF; Confirmed by molecular analysis |
CDG-Ix | 7/7 | CDG type I based on Tf IEF |
CDG-IIx | 4/7 | CDG type II based on Tf IEF |
CDG was diagnosed by serum Tf IEF analysis. However, four patients (3 with ALG13-CDG and 1 with ALG1-CDG) were missed by serum Tf analysis. ALG1-CDG patient with normal serum Tf isoform profile was diagnosed based on array comparative genomic hybridization in which chromosome 16p13.3 deletion involving the ALG1 gene was found. Three ALG13-CDG patients were first diagnosed by WES. Serum Tf isoform profile was normal in one of them, and in the other one only disialo-Tf isoform was slightly elevated. In the third ALG13-CDG patient, serum Tf isoform analysis was indicative for CDG—I. In one other patient CDG type I based on Tf IEF confirmed by molecular analysis.
Five patients, including three of them from one family, with CDG-II based on serum Tf isoform analysis, showed an alteration in the apoC-III isoform profile (increased apoCIII-1, decreased apoCIII-2), indicative of a combined N- and O-glycosylation defect. ATP6AP1-CDG, ATP6V0A2-CDG, and VMA21-CDG were diagnosed by WES.
A detailed characteristics of CDG patients is presented in Table 1.
In the case of 17 PMM2-CDG patients (from 16 families), 15 different PMM2 variants were identified (Supplementary Table 1), including missense (n = 12), frameshift (n = 1), and single-nucleotide variant (n = 2). The most common variants were c.422G > A, p.Arg141His (25%) and c.691G > A, p.Val231Met (21%). All variants were present in a heterozygous state (Supplementary Table 2), the most common genotype was c.691G > A, p.Val231Met/c.422G > A, p.Arg141His (23%).
The mutation spectrum of non-PMM2 CDG is presented in Table 2. Either homozygous or compound heterozygous variants were identified in 17 patients (from 14 families) yielding a total of 18 different variants including missense (n = 11), nonsense (n = 3), and frameshift (n = 2).
Table 2.
Diagnosis | Variant | Status |
---|---|---|
ALG13-CDG (X-linked) |
c.320A > G, p.Asn107Ser, de novo |
Heterozygous |
c.280A > G, p.Lys94Glu, de novo |
Hemizygous | |
ALG1-CDG (AR) | c.773C > T, p.Ser258Leu |
Heterozygous |
c.1182C > G, p.Phe394Leu |
Heterozygous | |
MPI-CDG (AR) | c.1193 T > C, p. Ile398Thr |
Homozygous (siblings) |
c.656G > A, p.Arg219Glu |
Heterozygous | |
c.748G > A, p.Gly250Ser |
Heterozygous | |
PGM1-CDG (AR) | c.988G > C, p.Gly330Arg |
Heterozygous |
c.1129G > A, p.Glu377Lys |
Heterozygous | |
SRD5A3-CDG (AR) | c.292_293del, p.Leu98ValfsX121 |
Homozygous (siblings) |
c.424C > T, p.Arg142X |
Homozygous or heterozygous | |
c.489C > A, p.Tyr163Ter |
Heterozygous | |
DPAGT1-CDG (AR) | c.1117C > G, p. Pro373Ala |
Heterozygous |
c.1197 T > A, p.Tyr399X |
Heterozygous | |
ATP6AP1-CDG (X-linked) | c.1284G > A, p.Met428Ile |
Homozygous (siblings) |
ATP6V0A2-CDG (AR) | c.2015 T > A, p.Leu672X |
Heterozygous |
c.130delG, p.N43fsX55 |
Heterozygous | |
VMA21-CDG (X-linked) |
c.188A > G, p.Asn63Gly |
Heterozygous |
10 CDG patients died, including 6 PMM2-CDG, 1 PGM1-CDG, 1 DPAGT1-CDG and 2 ALG1-CDG patients.
The period (1997–2020) prevalence of CDG in the Polish population was estimated at approximately 1 per million while that of PMM2 was at 0.4 per million. The birth prevalence of CDG was estimated as 0.14 per 100,000 live births while that of PMM2-CDG as 0.06 per 100,000 live births.
Table 3 illustrates the number of CDG patients diagnosed annually during the study period. The annual incidence of CDG per 100,000 persons was between 0 and 0.015.
Table 3.
Year | Number of newly diagnosed patients | Number of living patients | Annual incidence per 100,000 |
---|---|---|---|
1997 | 1 | 1 | n.a. |
1998 | 0 | 1 | n.a. |
1999 | 1 | 2 | n.a. |
2000 | 0 | 2 | 0 |
2001 | 3 | 4 | 0.008 |
2002 | 3 | 6 | 0.008 |
2003 | 3 | 9 | 0.008 |
2004 | 2 | 10 | 0.005 |
2005 | 1 | 11 | 0.002 |
2006 | 2 | 12 | 0.005 |
2007 | 0 | 12 | 0 |
2008 | 2 | 13 | 0.005 |
2009 | 3 | 15 | 0.008 |
2010 | 4 | 19 | 0.01 |
2011 | 1 | 19 | 0.002 |
2012 | 0 | 19 | 0 |
2013 | 1 | 20 | 0.002 |
2014 | 1 | 21 | 0.002 |
2015 | 6 | 26 | 0.015 |
2016 | 4 | 30 | 0.01 |
2017 | 0 | 29 | 0 |
2018 | 1 | 29 | 0.002 |
2019 | 5 | 34 | 0.013 |
2020 | 5 | 39 | 0.013 |
4. Discussion
Prevalence and incidence are the two fundamental measures of disease frequency. However, the rarity of the disease often renders those estimations a challenging task. Data regarding the prevalence of CDG originates mostly from isolated reports. On the other hand, there is no information about CDG incidence.
PMM2-CDG was the most common type of CDG identified in our study, similarly as reported in the literature, with the highest mortality observed during the study period [5]. SRD5A3-CDG and ALG13-CDG were the second most frequent types. We did not identify any patient with ALG6-CDG which is the second most frequent type in the literature.
The prevalence of PMM2 could be as high as 1:20,000 [6]. Schollen et al. estimated the frequency of PMM2 based on allele frequencies among healthy individuals (Dutch neonates and Danish blood donors) [7] showing that the carrier frequency for p.Arg141His is 1/72 and the expected disease frequency is 1/20,000 (0.005%, 5 per million). Alsubhi et al. estimated a minimum CDG burden of 14 patients per million in the Saudi population [20]. On the other hand, the prevalence of PMM2-CDG in Estonia in the entire population was estimated to be much lower, 1/322,000 (0.0003%, 3 per million) [8].
The prevalence of CDG in the Polish population was estimated in our study at approximately 1 per million while that of PMM2 at 0.4 per million. This fact depends on the number of patients that have been screened and then could be extrapolated to the national disease incidence. Serum Tf IEF is traditionally used in the selective screening of inborn errors of metabolism. Some patients were also investigated through collaborative initiatives of EUROGLYCAN and EUROGLYCANET (population screening).
PMM2-CDG has the best-defined phenotype so that clinicians are highly aware of this disease. This fact could correspond with a relatively high prevalence of PMM2-CDG among other forms of CDG. The analysis of serum Tf isoforms is still the method of choice for CDG diagnosis but only for N-glycosylation defects with sialic acid deficiency [3]. Next-generation sequencing (NGS) technology including targeted gene panels, whole-exome sequencing (WES) or even whole-genome sequencing (WGS) is necessary to diagnose a specific CDG and permits the detection of novel CDG [1,2]. Given the high clinical heterogeneity of CDG and the fact that NGS is not routinely available we speculate that a low frequence of CDG in our study could be underestimated.
Magalhães et al. have recently published results of an observational and retrospective study of individuals investigated by serum Tf IEF in a laboratory in southern Brazil, from 2008 to 2017 [19]. A total number of 1546 individuals underwent serum Tf IEF, of whom only four individuals were molecularly diagnosed with CDG.
The PMM2 gene (NM_000303.3) encodes the PMM2 protein (EC 5.4.2.8). Hundred thirty pathogenic PMM2 variants have been reported in Human Gene Mutation Database (HGMD Professional 2020.3), the large majority (85%) being missense variants [9]. Most PMM2-CDG reported patients were compound heterozygotes; the c.422G > A, p.Arg141His was the most frequently found variant [6,7,10,11]. Homozygosity for c.422G > A, p.Arh141His has been shown to be absent since it is probably lethal [10]. In our study, the c.422G > A, p.Arg141His and c.691G > A, p.Val231Met pathogenic missense variants were the most common identified. Compound heterozygotes for c.422G > A, p.Arg141His and c.691G > A, p.Val231Met were reported in the literature to be associated with the moderate to severe phenotype [12]. The pathogenic variant p.Val231Met was reported to be associated with high early mortality and severe multiorgan insufficiency [12,13,16]. In our study, 4 out of 6 patients who died were heterozygous for the c.691G > A, p.Val231Met variant but all of them were heterozygous for the other deletion/insertion variant. Considering the effect on residual activity of PMM2, mutations classified as severe include p.Arg123Glu, p.Arg141His, p.Phe157Ser, p.Pro184Thr, p.Phe207Ser and p.Asp209Gly, while mild mutations include p.Leu32Arg, p.Val44Ala, p.Asp65Tyr, p.Pro113Leu, p.Thr118Ser, p.Thr237Met and p.Cys241Ser [14,16]. In our population cohort, we found 1 patient to be heterozygous for c.357C > A, p.Phe119Leu, which was reported as the second most common mutation among the South-Scandinavian population (43% allele frequency in Danish patients) [11]. We did not find c.415G > A, p.Glu139Lys, the most prevalent variant among French patients [15] nor c.95TA > GC, p.Leu32Arg, the second most common mutation in the Italian population (16% of disease alleles). The c.95TA > GC, p.Leu32Arg mutation was reported in 12 out of 37 Italian patients, all of them presenting with a mild neurological phenotype (preserved ambulatory ability and autonomy) [16]. Comparing with the study of Perez-Cerda et al. reporting 71 Spanish PMM2-CDG patients gathered during the last 20 years, the frequency of c.710C > T, p.Thr237Arg and c.338C > T, p.Pro113Leu were similar [17]. Regarding the mutational spectrum of PMM2-CDGin the Portugese cohort reported by Quelhas et al., a striking similarity with Spanish population was found [18].
5. Conclusions
The prevalence of CDG in the Polish population was estimated at approximately 1 per million while that of PMM2 was estimated at 0.3 per million. A low frequence of CDG in our study could be underestimated.
PMM2-CDG was the most common form of CDG identified in the Polish population, similarly to the literature, with the highest mortality observed during the study period. The most common PMM2 variants were c.422G > A, p.Arg141His and c.691G > A, p.Val231Met, as reported in the literature.
Consent for publication
Not applicable.
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Funding sources
The study was funded by the Children's Memorial Health Institute intramural grant S190/2020.
Ethics approval and consent to participate
Ethical approval was obtained from the Children's Memorial Health Institute Bioethical Committee, num 23/KBE/2020, Warsaw, Poland. Informed consent was obtained from all included patients.
Declaration of Competing Interest
All authors certify that they have NO affiliations with or involvement in any organization or entity with any financial or non-financial interest in the subject matter or materials discussed in this manuscript.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.ymgmr.2021.100726.
Appendix A. Supplementary data
References
- 1.Francisco R., Marques-da-Silva D., Brasil S., Pascoal C., Dos Reis Ferreira V., Morava E., Jaeken J. The challenge of CDG diagnosis. Mol. Genet. Metab. 2019;126:1–5. doi: 10.1016/j.ymgme.2018.11.003. [DOI] [PubMed] [Google Scholar]
- 2.Péanne R., de Lonlay P., Foulquier F., Kornak U., Lefeber D.J., Morava E., Pérez B., Seta N., Thiel C., Van Schaftingen E., Matthijs G., Jaeken J. Congenital disorders of glycosylation (CDG): quo vadis? Eur. J. Med. Genet. 2018;61:643–663. doi: 10.1016/j.ejmg.2017.10.012. [DOI] [PubMed] [Google Scholar]
- 3.Bruneel A., Cholet S., Tran N.T., Mai T.D., Fenaille F. CDG biochemical screening: where do we stand? Biochim. Biophys. Acta Gen. Subj. 2020;1864 doi: 10.1016/j.bbagen.2020.129652. [DOI] [PubMed] [Google Scholar]
- 4.https://stat.gov.pl/obszary-tematyczne/ludnosc/ludnosc/ludnosc-stan-i-struktura-ludnosci-oraz-ruch-naturalny-w-przekroju-terytorialnym-stan-w-dniu-30-06-2020,6,28.html
- 5.Citro V., Cimmaruta C., Monticelli M., Riccio G., Hay Mele B., Cubellis M.V., Andreotti G. The analysis of variants in the general population reveals that PMM2 is extremely tolerant to missense mutations and that diagnosis of PMM2-CDG can benefit from the identification of modifiers. Int. J. Mol. Sci. 2018;30(19):2218. doi: 10.3390/ijms19082218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Matthijs G., Schollen E., Bjursell C., Erlandson A., Freeze H., Imtiaz F., Kjaergaard S., Martinsson T., Schwartz M., Seta N., Vuillaumier-Barrot S., Westphal V., Winchester B. Mutations in PMM2 that cause congenital disorders of glycosylation, type Ia (CDG-Ia) Hum. Mutat. 2000;16:386–394. doi: 10.1002/1098-1004(200011)16:5<386::AID-HUMU2>3.0.CO;2-Y. [DOI] [PubMed] [Google Scholar]
- 7.Schollen E., Kjaergaard S., Legius E., Schwartz M., Matthijs G. Lack of hardy-Weinberg equilibrium for the most prevalent PMM2 mutation in CDG-Ia (congenital disorders of glycosylation type Ia) Eur. J. Hum. Genet. 2000;8:367–371. doi: 10.1038/sj.ejhg.5200470. [DOI] [PubMed] [Google Scholar]
- 8.Vals M.A., Pajusalu S., Kals M., Mägi R., Õunap K. The prevalence of PMM2-CDG in Estonia based on population carrier frequencies and diagnosed patients. JIMD Rep. 2018;39:13–17. doi: 10.1007/8904_2017_41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.https://www.hgmd.cf.ac.uk
- 10.Matthijs G., Schollen E., Van Schaftingen E., Cassiman J.J., Jaeken J. Lack of homozygotes for the most frequent disease allele in carbohydrate-deficient glycoprotein syndrome type 1A. Am. J. Hum. Genet. 1998;62:542–550. doi: 10.1086/301763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kjaergaard S., Skovby F., Schwartz M. Absence of homozygosity for predominant mutations in PMM2 in Danish patients with carbohydrate-deficient glycoprotein syndrome type 1. Eur. J. Hum. Genet. 1998;6:331–336. doi: 10.1038/sj.ejhg.5200194. [DOI] [PubMed] [Google Scholar]
- 12.Al Teneiji A., Bruun T.U., Sidky S., Cordeiro D., Cohn R.D., Mendoza-Londono R., Moharir M., Raiman J., Siriwardena K., Kyriakopoulou L., Mercimek-Mahmutoglu S. Phenotypic and genotypic spectrum of congenital disorders of glycosylation type I and type II. Mol. Genet. Metab. 2017;120:235–242. doi: 10.1016/j.ymgme.2016.12.014. [DOI] [PubMed] [Google Scholar]
- 13.Pérez B., Briones P., Quelhas D., Artuch R., Vega A.I., Quintana E., Gort L., Ecay M.J., Matthijs G., Ugarte M., Pérez-Cerdá C. The molecular landscape of phosphomannose mutase deficiency in Iberian peninsula: identification of 15 population-specific mutations. JIMD Rep. 2011;1:117–123. doi: 10.1007/8904_2011_26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Vega A.I., Pérez-Cerdá C., Abia D., Gámez A., Briones P., Artuch R., Desviat L.R., Ugarte M., Pérez B. Expression analysis revealing destabilizing mutations in phosphomannomutase 2 deficiency (PMM2-CDG): expression analysis of PMM2-CDG mutations. J. Inherit. Metab. Dis. 2011;34:929–939. doi: 10.1007/s10545-011-9328-2. [DOI] [PubMed] [Google Scholar]
- 15.Le Bizec C., Vuillaumier-Barrot S., Barnier A., Dupré T., Durand G., Seta N. A new insight into PMM2 mutations in the French population. Hum. Mutat. 2005;25:504–505. doi: 10.1002/humu.9336. [DOI] [PubMed] [Google Scholar]
- 16.Barone R., Carrozzi M., Parini R., Battini R., Martinelli D., Elia M., Spada M., Lilliu F., Ciana G., Burlina A., Leuzzi V., Leoni M., Sturiale L., Matthijs G., Jaeken J., Di Rocco M., Garozzo D., Fiumara A. A nationwide survey of PMM2-CDG in Italy: high frequency of a mild neurological variant associated with the L32R mutation. J. Neurol. 2015;262:154–164. doi: 10.1007/s00415-014-7549-7. [DOI] [PubMed] [Google Scholar]
- 17.Pérez-Cerdá C., Girós M.L., Serrano M., Ecay M.J., Gort L., Pérez Dueñas B., Medrano C., García-Alix A., Artuch R., Briones P., Pérez B. A population-based study on congenital disorders of protein N- and combined with O-glycosylation experience in clinical and genetic diagnosis. J. Pediatr. 2017;183:170–177. doi: 10.1016/j.jpeds.2016.12.060. [DOI] [PubMed] [Google Scholar]
- 18.Quelhas D., Martins E., Azevedo L., Bandeira A., Diogo L., Garcia P., Sequeira S., Ferreira A.C., Teles E.L., Rodrigues E., Fortuna A.M., Mendonça C., Fernandes H.C., Medeira A., Gaspar A., Janeiro P., Oliveira A., Laranjeira F., Ribeiro I., Souche E., Race V., Keldermans L., Matthijs G., Jaeken J. Congenital disorders of glycosylation in Portugal-two decades of experience. J. Pediatr. 2021 doi: 10.1016/j.jpeds.2020.12.026. [DOI] [PubMed] [Google Scholar]
- 19.Magalhães A.P.P.S., Burin M.G., Souza C.F.M., de Bitencourt F.H., Sebastião F.M., Silva TO, Vairo F.P.E., Schwartz I.V.D. Transferrin isoelectric focusing for the investigation of congenital disorders of glycosylation: analysis of a ten-year experience in a Brazilian center. J. Pediatr. 2020;96(6):710–716. doi: 10.1016/j.jped.2019.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Alsubhi S., Alhashem A., Faqeih E., Alfadhel M., Alfaifi A., Altuwaijri W., Alsahli S., Aldhalaan H., Alkuraya F.S., Hundallah K., Mahmoud A., Alasmari A., Mutairi F.A., Abduraouf H., AlRasheed L., Alshahwan S., Tabarki B. Congenital disorders of glycosylation: the Saudi experience. Am. J. Med. Genet. A. 2017;173:2614–2621. doi: 10.1002/ajmg.a.38358. [DOI] [PubMed] [Google Scholar]
- 21.Tegtmeyer L.C., Rust S., van Scherpenzeel M., Ng B.G., Losfeld M.E., Timal S., Raymond K., He P., Ichikawa M., Veltman J., Huijben K., Shin Y.S., Sharma V., Adamowicz M., Lammens M., Reunert J., Witten A., Schrapers E., Matthijs G., Jaeken J., Rymen D., Stojkovic T., Laforêt P., Petit F., Aumaître O., Czarnowska E., Piraud M., Podskarbi T., Stanley C.A., Matalon R., Burda P., Seyyedi S., Debus V., Socha P., Sykut-Cegielska J., van Spronsen F., de Meirleir L., Vajro P., DeClue T., Ficicioglu C., Wada Y., Wevers R.A., Vanderschaeghe D., Callewaert N., Fingerhut R., van Schaftingen E., Freeze H.H., Morava E., Lefeber D.J., Marquardt T. Multiple phenotypes in phosphoglucomutase 1 deficiency. N. Engl. J. Med. 2014;370:533–542. doi: 10.1056/NEJMoa1206605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Morava E., Wevers R.A., Cantagrel V., Hoefsloot L.H., Al-Gazali L., Schoots J., van Rooij A., Huijben K., van Ravenswaaij-Arts C.M., Jongmans M.C., Sykut-Cegielska J., Hoffmann G.F., Bluemel P., Adamowicz M., van Reeuwijk J., Ng B.G., Bergman J.E., van Bokhoven H., Körner C., Babovic-Vuksanovic D., Willemsen M.A., Gleeson J.G., Lehle L., de Brouwer A.P., Lefeber D.J. A novel cerebello-ocular syndrome with abnormal glycosylation due to abnormalities in dolichol metabolism. Brain. 2010;133:3210–3220. doi: 10.1093/brain/awq261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Jansen E.J., Timal S., Ryan M., Ashikov A., van Scherpenzeel M., Graham L.A., Mandel H., Hoischen A., Iancu T.C., Raymond K., Steenbergen G., Gilissen C., Huijben K., van Bakel N.H., Maeda Y., Rodenburg R.J., Adamowicz M., Crushell E., Koenen H., Adams D., Vodopiutz J., Greber-Platzer S., Müller T., Dueckers G., Morava E., Sykut-Cegielska J., Martens G.J., Wevers R.A., Niehues T., Huynen M.A., Veltman J.A., Stevens T.H., Lefeber D.J. ATP6AP1 deficiency causes an immunodeficiency with hepatopathy, cognitive impairment and abnormal protein glycosylation. Nat. Commun. 2016;7:11600. doi: 10.1038/ncomms11600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lipiński P., Rokicki D., Bogdańska A., Lesiak J., Lefeber D.J., Tylki-Szymańska A. ATP6AP1-CDG: follow-up and female phenotype. JIMD Rep. 2020;53:80–82. doi: 10.1002/jmd2.12104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bogdańska A., Lipiński P., Szymańska-Rożek P., Jezela-Stanek A., Rokicki D., Socha P., Tylki-Szymańska A. Clinical, biochemical and molecular phenotype of congenital disorders of glycosylation: long-term follow-up. Orphanet J. Rare Dis. 2021;16:17. doi: 10.1186/s13023-020-01657-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Supplementary Materials
Data Availability Statement
All data generated or analyzed during this study are included in this published article.