Skip to main content
Molecular Genetics and Metabolism Reports logoLink to Molecular Genetics and Metabolism Reports
. 2023 Sep 9;37:101006. doi: 10.1016/j.ymgmr.2023.101006

GBA1 variants in Brazilian Gaucher disease patients

Suelen Porto Basgalupp a,b, Vivian Altmann b, Filippo Pinto e Vairo c, Ida Vanessa Doederlein Schwartz b,d,e,, Marina Siebert b,f,g; MilitaoBrazilian Collaborative Group on Gaucher Disease
PMCID: PMC10694776  PMID: 38053927

Abstract

Gaucher disease (GD) is an autosomal recessive lysosomal disorder caused by pathogenic variants in GBA1 which result in the deficient activity of glucocerebrosidase (GCase). There are few data on the genetic characterization of Brazilian GD patients. This study aimed at characterizing the genotype of 72 unrelated Brazilian GD patients (type I = 63, type II = 4, type III = 5; male = 31). Forty patients were from South Brazil (SB), and 32 were from other regions of Brazil (Others). The exons and exon/intron junctions of GBA1 were analyzed by Sanger sequencing in 8 patients, or by massive parallel sequencing followed by Sanger of exons 9 and 10 in 64 patients. In total, 31 pathogenic variants were identified. The most frequent allele found was N370S (p.(Asn409Ser)) (41.0%), and the most frequent genotype was N370S/RecNciI p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=](23.6%). Three variants (N370S – in exon 9, and RecNciI and L444P (p.(Leu483Pro), in exon 10) correspond to 76.3% of total alleles in SB and 59.4% in Others. Two novel variants were described: c.326del(p.(Gln109Argfs*9)) and c.690G>A (p.(?)). Although sequencing all the exons of GBA1 is the gold-standard method for the genetic analysis of GD patients, a step analysis can be proposed for Brazilian patients, starting with analysis of exons 9 and 10. The N370S allele is the most frequently associated with GD in Brazil.

Keywords: Gaucher disease, GBA1, Allele frequency, Mutations, Brazilian patients

1. Introduction

Gaucher disease (GD) is an inborn error of metabolism caused by the deficient activity of the glucocerebrosidase enzyme (GCase; E.C. 3.2.1.45). This deficiency leads to an accumulation of glucocerebroside inside the lysosomes, especially in the reticuloendothelial system. The excessive storage of this substrate is found in the liver, spleen, bone, and bone marrow of GD patients [1].

GD is an autosomal recessive disorder, resulting from pathogenic variants in GBA1. This gene is located on chromosome 1q21 and comprises 11 exons. Almost 700 different variants have already been described according to the Human Gene Mutation Database [2]. The most commonly reported GBA1 variants worldwide are N370S and L444P, but the prevalence of these variants differs among populations; for instance, N370S represents 83.2% of alleles in Ashkenazi-Jews with GD [3,4]. Besides that, the data available is biased because of the underrepresentation of some populations (such as the Latin American and African descendents).

Brazil is a country composed by several interethnic ancestral crossings among Amerindians, Europeans, and African descendents derived from immigration waves that occurred since the XV century, that were different depending on Brazilian regions. For instance, individuals from the Northeast region have strong African ancestry due to the slavery period, whereas the North region had a large influence of Amerindians, and the South region was mostly colonized by European immigrants [5,6]. A few studies have described the GBA1 allele frequencies in Brazilian GD patients; however, it is not possible to confirm the exact number of patients analyzed since some studies included the same individuals (Table 1).

Table 1.

Studies evaluating allelic frequencies in Brazilian GD patients.

Reference N (types I, II, III) Region of Brazil Methodology Most frequent allele Observations
Rozenberg et al. 20067* 40 (all I) N/A RFLP, dHPLC and Sanger sequencing N370S (35%) All exons of GBA1 analyzed
Rozenberg et al. 20068* 262 (247, 3, 12) N/A RFLP N370S (47%) Screening of 9 variants
Sobreira et al. 20074* 221 (all I) N/A ICGG Gaucher Registry evaluation N370S (48.2%) Methodology not described
Siebert et al. 20139 48 (N/A) N/A TaqMan PCR, ARMS-PCR and Sanger sequencing N370S (44.1%) All exons of GBA1 analyzed
Chaves et al. 201510 5 (all GD type I) NE Sanger sequencing G377S (100%) Screening of 4 variants

Abbreviations: I, GD type I; II, GD type II; III, GD type III; N/A, not available; NE: Northeast region; ICGG, International Collaborative Gaucher Group; RFLP, restriction fragment length polymorphism; dHPLC, denaturing high performance liquid chromatography; ARMS-PCR, Amplification Refractory Mutation System-PCR; *The three studies shared patients.

Many protocols for genetic analysis of GD patients included only the investigation of the most frequent variants; this prevents the differentiation between L444P and those resulting from recombination events. Therefore, the main objective of this study was to describe the GBA1 variants' frequencies in a cohort of unrelated Brazilian GD patients who had the complete exon/intron-exon junctions of GBA1 analysis performed.

2. Materials and methods

It is an observational study with convenient sampling assessment, which was approved by the local Ethics Committee. Patients from the Brazilian state of Rio Grande do Sul (n = 34) are followed at the local Gaucher Reference Center, linked to the research laboratory where the genetic analysis for this study was performed. Others (n = 38) were referred for genetic analysis and inclusion in this study after contacting geneticists and hematologists from all Brazilian regions.

2.1. Subjects

A total of 72 unrelated patients with biochemical diagnosis of GD (type I = 63, type II = 4, type III = 5; male = 31) were included in this study. Forty patients (55.6%) were from South Brazil (SB), and 32 (44.4%) were from other Brazilian regions (Southeast = 13/32, Northeast = 12/32, Center-West = 6/32, and North = 1/32) (classified as Others) (Fig. 1, Table 2). Patient 19 had been previously described by Siebert et al., 2013 [9]; and patient 25 had been previously described by Paskulin et al., 2019 [11] (Table 2).

Fig. 1.

Fig. 1

Brazilian regions. In this study, Others include patients from four regions: Southeast, Northeast, North, and Center-West. N = patients included in this study.

Table 2.

Characterization of Gaucher disease patients from different regions of Brazil and genotype findings (n = 72).

N Gender GD type Age (y) GBA1 genotype cDNA [allele 1; allele 2]
(NM_001005742.2)
protein [allele 1; allele 2]
(NP_001005742.1)
Origin
1 M II ** L444P/RecNciI*** c.[1448T>C];[1448T>C;1483G>C;1497G>C] p.[Leu483Pro];[Leu483Pro;Ala495Pro;Val499=] South
2 M I 10 N370S/IVS9+1G>A c.[1226A>G];[1328+1G>A] p.[Asn409Ser];[?] South
3 F I 59 N370S/L444R c.[1226A>G];[1448T>G] p.[Asn409Ser];[Leu483Arg] South
4 F I 7 N370S/RecNciI*** c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
5 F I 42 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
6 F I 10 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
7 F I 26 N370S/L444P*** c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
8 F I 16 N370S/L444P*** c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
9 M III 1 L444P/L444P c.[1448T>C];[1448T>C] p.[Leu483Pro];[Leu483Pro] South
10 F I 57 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
11 M I 22 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
12 M I 7 N370S/L444P+A456P c.[1226A>G];[1448T>C;1483G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro] South
13 M I 14 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
14 F I 15 N370S/L444P*** c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
15 M I 26 N370S/L444P c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
16 F I 13 N370S/L444P*** c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
17 M I 49 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
18 F I 11 N370S/L444P*** c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
19 F I 4 N370S/L461P+IVS10+1G>Tª c.[1226A>G];[1499T>C;1505+1G>T] p.[Asn409Ser];[Leu500Pro;?] South
20 F I 12 N370S/R163* c.[1226A>G];[604C>T] p.[Asn409Ser];[Arg202*] South
21 M I 8 N370S/G202R c.[1226A>G];[721G>A] p.[Asn409Ser];[Gly241Arg] South
22 M I 2 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
23 M I 10 N370S/R120W c.[1226A>G];[475C>T] p.[Asn409Ser];[Arg159Trp] South
24 F I 29 N370S/L444P c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
25 F I 42 E349K/S366Nb c.[1162G>A];[1214G>A] p.[Glu388Lys];[Ser405Asn] South
26 M I 54 N370S/N370S c.[1226A>G];[1226A>G] p.[Asn409Ser];[Asn409Ser] South
27 F I 8 N370S/N370S c.[1226A>G];[1226A>G] p.[Asn409Ser];[Asn409Ser] South
28 F I 13 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
29 M I 5 N370S/L444R*** c.[1226A>G];[1448T>G] p.[Asn409Ser];[Leu483Arg] South
30 M III 2 L444P/L444P c.[1448T>C];[1448T>C] p.[Leu483Pro];[Leu483Pro] South
31 F I 35 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
32 M I 62 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] South
33 F I 20 N370S/L444P c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] South
34 M II 0.03 L444P/RecNciI c.[1448T>C];[1448T>C;1483G>C;1497G>C] p.[Leu483Pro];[Leu483Pro;Ala495Pro;Val499=] South
35 M I 56 G377S/G377S c.[1246G>A];[1246G>A] p.[Gly416Ser];[Gly416Ser] South
36 F I 11 R48W/R48W c.[259C>T];[259C>T] p.[Arg87Trp];[Arg87Trp] South
37 F I 30 N370S/S366G c.[1226A>G];[1213A>G] p.[Asn409Ser];[Ser405Gly] South
38 M * 2 N396T/RecNciI c.[1304A>C];[1448T>C;1483G>C;1497G>C] p.[Asn435Thr];[Leu483Pro;Ala495Pro;Val499=] South
39 F II 1 RecNciI/F213I c.[1448T>C;1483G>C;1497G>C];[754T>A] p.[Leu483Pro;Ala495Pro;Val499=];[Phe252Ile] South
40 F I 3 R463C/ R463C c.[1504C>T];[1504C>T] p.[Arg502Cys];[Arg502Cys] South
41 M III 11 P245T/del55 c.[850C>A];[1263–317] p.[Pro284Thr];[Leu422Profs] Southeast
42 F I 55 L444P+E326K/R496H c.[1448T>C;1093G>A];[1604G>A] p.[Leu483Pro;Glu365Lys];[Arg535His] Southeast
43 F I ** N370S/L444P c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] Southeast
44 M I 38 N370S/L444P c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] Southeast
45 M I 32 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] Southeast
46 M II 0.04 L444P+E326K/H311R c.[1448T>C;1093G>A];[1049A>G] p.[Leu483Pro;Glu365Lys];[His350Arg] Southeast
47 F I 54 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] Southeast
48 M I 25 N370S/V191V c.[1226A>G];[690G>A] p.[Asn409Ser];[?] Southeast
49 F I 26 N370S/R120Q c.[1226A>G];[476G>A] p.[Asn409Ser];[Arg159Gln] Southeast
50 M I 23 N370S/W184R c.[1226A>G];[667T>C] p.[Asn409Ser];[Trp223Arg] Southeast
51 M I 15 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] Southeast
52 F I 12 N370S/N370S c.[1226A>G];[1226A>G] p.[Asn409Ser];[Asn409Ser] Southeast
53 F I 31 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] Southeast
54 F I 29 R496H/p.Gln109Argfs*9 c.[1604G>A];[326del] p.[Arg535His];[Gln109Argfs*9] Northeast
55 F I 22 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] Northeast
56 M I 4 N370S/W378C c.[1226A>G];[1251G>C] p.[Asn409Ser];[Trp417Cys] Northeast
57 F I 21 N370S/N370S c.[1226A>G];[1226A>G] p.[Asn409Ser];[Asn409Ser] Northeast
58 M I 27 N370S/L444P+E326K c.[1226A>G];[1448T>C;1093G>A] p.[Asn409Ser];[Leu483Pro;Glu365Lys] Northeast
59 M I 10 N370S/L444P+E326K c.[1226A>G];[1448T>C;1093G>A] p.[Asn409Ser];[Leu483Pro;Glu365Lys] Northeast
60 M I 62 N370S/N370S c.[1226A>G];[1226A>G] p.[Asn409Ser];[Asn409Ser] Northeast
61 F I 0.3 R48W/R48W c.[259C>T];[259C>T] p.[Arg87Trp];[Arg87Trp] Northeast
62 F I 46 N370S/N370S c.[1226A>G];[1226A>G] p.[Asn409Ser];[Asn409Ser] Northeast
63 M I 55 N370S/W378C c.[1226A>G];[1251G>C] p.[Asn409Ser];[Trp417Cys] Northeast
64 M I 6 N396T/L444P+E326K c.[1304A>C];[1448T>C;1093G>A] p.[Asn435Thr];[Leu483Pro;Glu365Lys] Northeast
65 F III 13 G377S/W378C c.[1246G>A];[1251G>C] p.[Gly416Ser];[Trp417Cys] Northeast
66 F I 7 N370S/L444P c.[1226A>G];[1448T>C] p.[Asn409Ser];[Leu483Pro] Center-West
67 F I 30 N370S/N370S c.[1226A>G];[1226A>G] p.[Asn409Ser];[Asn409Ser] Center-West
68 F III ** L444P/L444P c.[1448T>C];[1448T>C] p.[Leu483Pro];[Leu483Pro] Center-West
69 F I ** R353W/RecTL c.[1174C>T];[1342G>C;1448T>C;1483G>C;1497G>C] p.[Arg392Trp];[Asp448His;Leu483Pro;Ala495Pro;Val499=] Center-West
70 M I 13 N370S/RecNciI c.[1226A>G];[1448T>C;1483G>C;1497G>C] p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=] Center-West
71 F I ** G377S/G377S c.[1246G>A];[1246G>A] p.[Gly416Ser];[Gly416Ser] Center-West
72 F I 29 N370S/V398I c.[1226A>G];[1309G>A] p.[Asn409Ser];[Val437Ile] North

Abbreviations: N, patients; M, male; F, female; GD, Gaucher disease; Age (y), age in years at diagnosis; *unknown GD type; **unknown age at diagnosis; ***Sanger sequencing; aPatient described by Siebert et al., 2013; bPatient described by Paskulin et al., 2019; Novel variants are set in bold.

2.2. Genotype analysis

All patients had their genetic diagnosis performed at a research laboratory located at the Reference Center for Rare Diseases of Porto Alegre – Rio Grande do Sul (Hospital de Clínicas de Porto Alegre, South Brazil). Genomic DNA was extracted from peripheral blood collected into EDTA-containing tubes using Easy-DNA™ kit (Thermo Fisher Scientific™) according to the manufacturer's instructions. Eight patients (patients 1, 4, 7, 8, 14, 16, 18 and 29) had their GBA1 gene (exons and exon-intron junctions) analyzed by Sanger sequencing using the ABI 3500 Genetic Analyzer (Thermo Fisher Scientific™) following Stone et al. experiment designs [12]. All primers used for Sanger were obtained from Stone et al. due to their specificity for the functional gene. For 64 patients, massive parallel sequencing using the Ion Torrent PGM™ platform (Thermo Fisher Scientific™) comprising all exons and exon/intron junctions using a customized AmpliSeq Panel (IAD97194_197; Thermo Fisher Scientific™) was performed, followed by Sanger sequencing of exons 9 and 10. The results were analyzed using Chromas (Technelysium), Ion Reporter™ (Thermo Fisher Scientific™) and Enlis Genome (Enlis, LCC) software.

Since DNA from parents were available for analysis only for patient 19, the cis and trans status of variants found in number > 2 per patient was inferred according to the literature: for instance, the cis status of variants L444P and E326K (p.[Leu483Pro;Glu365Lys]) have already been reported elsewhere [[13], [14], [15], [16], [17]].

2.3. In silico functionality prediction analysis

SpliceAI and NMDEscPredictor were used to predict functional effects of sequence variations [18,19].

2.4. Statistical analysis

Comparison of GBA1 allele frequencies between individuals from SB and Others was performed by χ2-test.

3. Results

The demographic information and genotype of GD patients included in the study are shown in Table 2. Thirty-one different pathogenic variants were found, being 6 found both in SB and in Others. Of the 25 remaining variants, 12 were found only in patients from SB, and 13 variants were identified exclusively detected in patients from other regions (Fig. 2). Patients from SB carry 18/80 (22.5%) different alleles, and Others, 19/64 (29.7%). The genotype N370S/RecNciI (p.[Asn409Ser];[Leu483Pro;Ala495Pro;Val499=]) was the most frequent in our sample (total = 23.6%; SB = 11/40, 27.5%; Others = 6/32, 18.8%).

Fig. 2.

Fig. 2

Allele frequencies found in South Brazil (SB) vs. other regions (Others) using the usual nomenclature of the six common variants in the GBA1 gene identified in these regions. *Variants: p.(Leu483Arg), p.(Arg159Trp), p.(Arg202*), p.(Gly241Arg), p.(Phe252Ile), p.(Glu388Lys), p.(Ser405Gly), p.(Ser405Asn), c.(1328 + 1G > A), p.(Leu483Pro;Ala495Pro), c.(1499 T > C;1505 + 1G > T), p.(Arg502Cys) **Variants: p.(Trp417Cys), p.(Arg535His), p.(Gln109Argfs*9), p.(Arg159Gln), p.(Trp223Arg), p.(?), p.(Pro284Thr), p.(His350Arg), p.(Arg392Trp), p.(Val437Ile), p.(Leu422Profs), p.(Asp448His;Leu483Pro;Ala495Pro;Val499=), p.(Leu483Pro;Glu365Lys).

N370S was the most frequent allele in our cohort (59/144; 41.0%) and in both SB (32/80; 40.0%) or others (27/64; 42.2%). The overall prevalence of the RecNciI allele was 14.6% (SB = 15/80, 18.8%; others = 6/64, 9.4%) and for L444P, 13.2% (SB = 14/80, 17.5%; others = 5/64, 7.8%). There was no difference in the prevalence of the N370S, L444P, and RecNciI alleles between SB and Others (p = 0.909; p = 0.087; p = 0.161, respectively). The most frequent alleles (N370S, L444P, and RecNciI) corresponded to 76.3% (61/80) of total alleles in SB and 59.4% (38/64) in Others.

Two novel alleles were found in Others. One is a single nucleotide deletion located on exon 4, c.326del - p.(Gln109Argfs*9). This deletion determines a frameshift alteration and is subject to degradation by nonsense-mediated decay according to the NMDEscPredictor (https://nmdprediction.shinyapps.io/nmdescpredictor/). This variant was found in a type I GD patient of 29 years old from the Northeast, which carries p.[Gln109Argfs*9];[Arg535His] (patient 54). This variant was classified as pathogenic by the American College of Genetics and Genomics (ACMG) guidelines [20].

The other variant c.690G > A would cause a synonymous change, p.(?). This patient from the Southeast was a type I GD with genotype p.[?];[Asn409Ser] (patient 48). In silico analysis showed that this variant is predicted pathogenic to create a splice site at 3 bp downstream (donor gain score = 0.66) according to the SpliceAI tool. This variant was classified as of uncertain significance by ACMG.

The location of GBA1 variants found in our cohort of GD patients is demonstrated in Fig. 3, showing they are distributed along the whole gene, with exception of exons 1 and 2.

Fig. 3.

Fig. 3

Location of GBA1 variants found in Gaucher Disease patients from South Brazil (SB), Others and both SB and Others.

4. Discussion

This study highlights the allelic heterogeneity of GD in Brazil and suggests that N370S is the most frequent GBA1 variant in patients from the regions analyzed, followed by the RecNciI allele, and L444P. It should be highlighted that the number of GD patients from the SB region comprises more than half of the study’s patient cohort, which could potentially introduce a bias within this population. The South region is overrepresented because it is the region where our research laboratory is located. N370S is located at exon 9 and L444P at exon 10 of GBA1. RecNciI is the most frequent recombinant allele, and includes the variants L444P, A456P and V460V (p.[Leu483Pro;Ala495Pro;Val499=]). Similarly, in a cohort of 126 Argentinean GD patients [21], the most frequent allele was N370S followed by RecNcil (but with a higher allele frequency: 86.3% and 52.7%, respectively), and the most frequent genotype was N370S/RecNcil (46.6%, approximately twice the frequency found in Brazil). The differences between the Brazilian and Argentinean cohorts reflects the higher genetic homogeneity of the Argentinean population.

Sequencing of all exons and exon/intron boundaries of GBA1 is the main strategy for accurate genotyping of GD patients; however, massive parallel short-read sequencing might include homologous regions such as of exon 10 from GBAP1 (pseudogene). The amplification of pseudogene can be avoided by using specific primers targeting GBA1 followed by Sanger sequencing. Of note, genotyping based on PCR followed by Sanger sequencing screening for only common pathogenic variants fails to detect rare alleles and recombinant alleles comprised of multiple single nucleotide variants which is relevant for the differentiation of L444P and recombinant complex alleles [22]. If sequencing of all exons of GBA1 is not available, our data suggest a stepwise approach for Brazilian patients, starting with Sanger sequencing of exons 9 and 10.

The L444P allele (standalone or as part of recombinant alleles) is strongly associated with neuronopathic GD: a combination of L444P and RecNciI leads to type II, suggesting that complex alleles increase the severity of the GD, and homozygosity for L444P is found in GD types II and III [22]. L444P and RecNciI alleles are responsible for 27.8% of the variants identified in Brazilian patients, which could explain the relatively high prevalence of GD II/III in our cohort (9/72, or 12.5%). It is important to emphasize that, depending on the established genotype, reassessment would be appropriate, as milder neuronopathic patients may manifest later in childhood or adolescence (this would be the case for patient 40, genotype R463C/R463C (p.[Arg502Cys];[Arg502Cys]), reported as having GD I at 3 years). All L444P/L444P patients included in this study (patients 9, 30 and 68) presented GD III, and the L444P/RecNcil patients, GD II (patients 1 and 34). On the other hand, the N370S variant is considered neuroprotective, and there are no reported cases of neuronopathic GD in individuals with this variant. Although the prevalence of N370S in our sample is 41.0%, only 7 patients (all with GD I) were found to be homozygous for this variant, which may suggest an underdiagnosis of GD type I patients in the country.

Our findings are in accordance with previous studies by Rozenberg et al. [7,8], Sobreira et al. [4], and Siebert et al. [9], which also reported N370S as the most frequent variant in Brazil. Chaves et al. [10] evaluated the founder effect for the G377S (p.(Gly416Ser)) variant among GD patients in a population from Northeastern Brazil; all GD patients were homozygous for G377S, suggesting that the high prevalence of GD in this population may be due to a combination of consanguinity and founder effect [10].

Siebert et al. [9] identified the G377S (11.1%) allele as the third most frequent variant among 48 Brazilian GD patients. The authors suggested that G377S variant must be included in preliminary screens of Brazilian GD patients. G377S was the 4th most prevalent variant in our sample and it is located in the exon 9 of GBA1.

SB may have a slightly different profile of GBA1 pathogenic alleles compared to other regions. Three alleles (N370S, RecNciI, and L444P) were overrepresented in SB, with a combined frequency of 76%, however, those represent only 59% in Others. This could be explained by the different immigration process in the different Brazilian regions [6]. Furthermore, the frequency of the alleles associated with GD types II and III (L444P and RecNciI), appears to be higher in SB when compared to the rest of the country. We must acknowledge the presence of regional disparities in Brazil based on geographical locations – as the access to health in better in the South and Southeast regions, for instance, this could explain the higher rate of diagnosis of GD II and III in the South region. Unfortunately, we do not have enough phenotypic information from patients referred for genetic testing at our laboratory to confirm if this genetic difference translates into phenotypic differences. Haplotypes studies are ongoing to try to clarify this issue.

5. Conclusion

The N370S appears to be the most frequent variant associated with GD type I in Brazil. If the complete sequencing of all exons of GBA1 is not available, a stepwise approach can be proposed for Brazilian patients, starting with Sanger sequencing of exons 9 and 10. However, this strategy can miss both other possibly novel variants as well as other alleles with multiple variants.

Funding

This research was funded by FIPE-HCPA, grant number 2019–0219 (CAAE 10903019800005327).

Institutional review board statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of Hospital de Clínicas de Porto Alegre (protocol code 2019–0219/CAAE 10903019800005327 and 10/27/2021).

Informed consent statement

Informed consent was obtained from all subjects involved in the study.

CRediT authorship contribution statement

Suelen Porto Basgalupp: Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft. Vivian Altmann: Formal analysis, Investigation, Writing – review & editing. Filippo Pinto e Vairo: Conceptualization, Formal analysis, Writing – review & editing. Ida Vanessa Doederlein Schwartz: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing. Marina Siebert: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing.

Declaration of Competing Interest

The authors declare no conflict of interest.

Acknowledgements

The authors acknowledge the financial support of CAPES, CNPq and FIPE-HCPA. We would like to thank to Franciele Pinheiro for her support in the analysis and interpretation of the described variants in this manuscript.

Contributor Information

Suelen Porto Basgalupp, Email: suelenbasgalupp@gmail.com.

Filippo Pinto e Vairo, Email: Vairo.Filippo@mayo.edu.

Ida Vanessa Doederlein Schwartz, Email: ischwartz@hcpa.edu.br.

Marina Siebert, Email: msiebert@hcpa.edu.br.

MilitaoBrazilian Collaborative Group on Gaucher Disease:

Renata Cravo, Erlane M. Ribeiro, Augusto C. dos Santos, Louise L. de Camargo Pinto, Carolina C. Militão, and Luiz Fernando Andrade

Data availability

All supporting data is available upon request.

References

  • 1.Beutler E., Grabowski G.A. In: The Metabolic and Molecular Bases of Inherited Disease. Scriver C.R., Beaudet A.L., Sly W.S., Valle D., editors. McGraw-Hill; New York: 2001. Gaucher disease; pp. 3635–3668. [Google Scholar]
  • 2.Stenson P.D., Mort M., Ball E.V., Evans K., Hayden M., Heywood S., Hussain M., Phillips A.D., Cooper D.N. The human gene mutation database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies. Hum. Genet. 2017;136(6):665–677. doi: 10.1007/s00439-017-1779-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Granek Z., Barczuk J., Siwecka N., Rozpedek-Kaminska W., Kucharska E., Majsterek I. GBA1 gene mutations in α-Synucleinopathies—molecular mechanisms underlying pathology and their clinical significance. Int. J. Mol. Sci. 2023;24:2044. doi: 10.3390/ijms24032044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sobreira E., Pires R.F., Cizmarik M., Grabowski G.A. Phenotypic and genotypic heterogeneity in Gaucher disease type 1: a comparison between Brazil and the rest-of-the-world. Mol. Genet. Metab. 2007;90(1):81–86. doi: 10.1016/j.ymgme.2006.08.009. [DOI] [PubMed] [Google Scholar]
  • 5.Pena S.D.J., Bastos-Rodrigues L., Pimenta J.R., Bydlowski S.P. DNA tests probe the genomic ancestry of Brazilians. Braz. J. Med. Biol. Res. 2009;42(10):870–876. doi: 10.1590/S0100-879X2009005000026. [DOI] [PubMed] [Google Scholar]
  • 6.Pena S.D.J., Di Pietro G., Fuchshuber-Moraes M., Genro J.P., Hutz M.H., De Kehdy F.S.G., Kohlrausch F., Magno L.A.V., Montenegro R.C., Moraes M.O., de Moraes M.E.A., de Moraes M.R., Ojopi É.B., Perini J.A., Racciopi C., Ribeiro-dos-Santos Â.K.C., Rios-Santos F., Romano-Silva M.A., Sortica V.A., Suarez-Kurtz G. The genomic ancestry of individuals from different geographical regions of Brazil is more uniform than expected. PLoS One. 2011;6(2) doi: 10.1371/journal.pone.0017063. e17063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rozenberg R., Fox D.C., Sobreira E., Pereira L.V. Detection of 12 new mutations in Gaucher disease Brazilian patients. Blood Cells Mol. Dis. 2006;37(3):204–209. doi: 10.1016/j.bcmd.2006.09.004. [DOI] [PubMed] [Google Scholar]
  • 8.Rozenberg R., Araújo F.T., Fox D.C., Aranda P., Nonino A., Micheletti C., Martins A.M., Cravo R., Sobreira E., Pereira L.V. High frequency of mutation G377S in Brazilian type 3 Gaucher disease patients. Braz. J. Med. Biol. Res. 2006;39(9) doi: 10.1590/S0100-879X2006000900004. [DOI] [PubMed] [Google Scholar]
  • 9.Siebert M., Bock H., Michelin-Tirelli K., Coelho J.C., Giugliani R., Saraiva-Pereira M.L. In: JIMD Reports – Case and Research Reports, 2012/6. Zschocke J., Gibson K.M., Brown G., Morava E., Peters V., editors. vol. 9. Springer; Berlin Heidelberg: Berlin, Heidelberg: 2012. Novel mutations in the glucocerebrosidase gene of Brazilian patients with Gaucher disease; pp. 7–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Chaves R.G., da Pereira L.V., de Araújo F.T., Rozenberg R., Carvalho M.D.F., Coelho J.C., Michelin-Tirelli K., de Chaves M.F., Cavalcanti G.B. Consanguinity and founder effect for Gaucher disease mutation G377S in a population from Tabuleiro Do Norte, northeastern Brazil: consanguinity and founder effect. Clin. Genet. 2015;88(4):391–395. doi: 10.1111/cge.12515. [DOI] [PubMed] [Google Scholar]
  • 11.d’Avila Paskulin L., Starosta R.T., Zizemer V.S., Basgalupp S., Bertholdo D., Vairo F.P.E., Siebert M., Michelin-Tirelli K., Schwartz I.V.D. Rare GBA1 genotype associated with severe bone disease in Gaucher disease type 1. Mol. Genet. Metab. Rep. 2019;21 doi: 10.1016/j.ymgmr.2019.100544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Stone D.L., Tayebi N., Orvisky E., Stubblefield B., Madike V., Sidransky E. Glucocerebrosidase gene mutations in patients with type 2 Gaucher disease. Hum. Mutat. 2000;15(2):181–188. doi: 10.1002/(SICI)1098-1004(200002)15:2<181::AID-HUMU7>3.0.CO;2-S. [DOI] [PubMed] [Google Scholar]
  • 13.Grace M.E., Ashton-Prolla P., Pastores G.M., Soni A., Desnick R.J. Non-pseudogene-derived complex acid beta-glucosidase mutations causing mild type 1 and severe type 2 gaucher disease. J. Clin. Invest. 1999;103(6):817–823. doi: 10.1172/JCI5168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Montfort M., Chabás A., Vilageliu L., Grinberg D. Functional analysis of 13 GBA mutant alleles identified in Gaucher disease patients: pathogenic changes and “modifier” polymorphisms. Hum. Mutat. 2004;23(6):567–575. doi: 10.1002/humu.20043. [DOI] [PubMed] [Google Scholar]
  • 15.Chabás A., Gort L., Díaz-Font A., Montfort M., Santamaría R., Cidrás M., Grinberg D., Vilageliu L. Perinatal lethal phenotype with generalized ichthyosis in a type 2 Gaucher disease patient with the [L444P;E326K]/P182L genotype: effect of the E326K change in neonatal and classic forms of the disease. Blood Cells Mol. Dis. 2005;35(2):253–258. doi: 10.1016/j.bcmd.2005.04.007. [DOI] [PubMed] [Google Scholar]
  • 16.Ran C., Brodin L., Forsgren L., Westerlund M., Ramezani M., Gellhaar S., Xiang F., Fardell C., Nissbrandt H., Söderkvist P., Puschmann A., Ygland E., Olson L., Willows T., Johansson A., Sydow O., Wirdefeldt K., Galter D., Svenningsson P., Belin A.C. Strong association between glucocerebrosidase mutations and Parkinson’s disease in Sweden. Neurobiol. Aging. 2016;45(212):e5–212.e11. doi: 10.1016/j.neurobiolaging.2016.04.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Thirumal Kumar D., Eldous H.G., Mahgoub Z.A., George Priya Doss C., Zayed H. Computational modelling approaches as a potential platform to understand the molecular genetics association between Parkinson’s and Gaucher diseases. Metab. Brain Dis. 2018;33(6):1835–1847. doi: 10.1007/s11011-018-0286-3. [DOI] [PubMed] [Google Scholar]
  • 18.Jaganathan K., Kyriazopoulou Panagiotopoulou S., McRae J.F., Darbandi S.F., Knowles D., Li Y.I., Kosmicki J.A., Arbelaez J., Cui W., Schwartz G.B., Chow E.D., Kanterakis E., Gao H., Kia A., Batzoglou S., Sanders S.J., Farh K.K. Predicting splicing from primary sequence with deep learning. Cell. 2019;176(3):535–548.e24. doi: 10.1016/j.cell.2018.12.015. [DOI] [PubMed] [Google Scholar]
  • 19.Coban-Akdemir Z., White J.J., Song X., Jhangiani S.N., Fatih J.M., Gambin T., Bayram Y., Chinn I.K., Karaca E., Punetha J., Poli C., Baylor-Hopkins Center for Mendelian Genomics, Boerwinkle E., Shaw C.A., Orange J.S., Gibbs R.A., Lappalainen T., Lupski J.R., Carvalho C.M.B. Identifying genes whose mutant transcripts cause dominant disease traits by potential gain-of-function alleles. Am. J. Hum. Genet. 2018;103(2):171–187. doi: 10.1016/j.ajhg.2018.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.on behalf of the ACMG Laboratory Quality Assurance Committee, Richards S., Aziz N., Bale S., Bick D., Das S., Gastier-Foster J., Grody W.W., Hegde M., Lyon E., Spector E., Voelkerding K., Rehm H.L. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 2015;17(5):405–423. doi: 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Drelichman G.I., Fernández Escobar N., Soberon B.C., Basack N.F., Frabasil J., Schenone A.B., Aguilar G., Larroudé M.S., Knight J.R., Zhao D., Ruan J., Mistry P.K., Argentine Group for Diagnosis and Treatment of Gaucher Disease Long-read single molecule real-time (SMRT) sequencing of GBA1 locus in Gaucher disease national cohort from Argentina reveals high frequency of complex allele underlying severe skeletal phenotypes: collaborative study from the Argentine Group for Diagnosis and Treatment of Gaucher disease. Mol. Genet. Metab. Rep. 2021;29 doi: 10.1016/j.ymgmr.2021.100820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hruska K.S., LaMarca M.E., Scott C.R., Sidransky E. Gaucher disease: mutation and polymorphism spectrum in the glucocerebrosidase gene (GBA) Hum. Mutat. 2008;29(5):567–583. doi: 10.1002/humu.20676. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All supporting data is available upon request.


Articles from Molecular Genetics and Metabolism Reports are provided here courtesy of Elsevier

RESOURCES