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The GALNS p.P77R variant is a probable Gujarati-Indian founder mutation causing Mucopolysaccharidosis IVA syndrome

BMC Genomics volume 23, Article number: 458 (2022) Cite this article

Abstract

Background

Mucopolysaccharidosis IVA (Morquio syndrome A, MPS IVA) is an autosomal recessive lysosomal storage disorder caused due to biallelic variants in the N-acetylgalactoseamine-6-sulfate sulfatase (GALNS) gene. The mutation spectrum in this condition is determined amongst sub-populations belonging to the north, south and east India geography, however, sub-populations of west Indian origin, especially Gujarati-Indians, are yet to be studied. We aimed to analyse the variants present in the GLANS gene amongst the population of Gujarat by sequencing all exons and exon–intron boundaries of the GALNS gene in patients from 23 unrelated families.

Results

We report 11 variants that include eight missense variants: (p.L36R, p.D39G, p.P77R, p.C79R, pP125L, p.P151L, p.G255A and p.L350P), one splice site variant: (c.121-7C > G), one small insertion: (c.1241_1242insA, p.I416HfsTer2) and one small deletion: (c.839_841delACA). Of these, three missense variants (p.D39G, p.G255A and p.L350P), one splice site and the two indels mentioned above are novel. Interestingly, we observed a higher than anticipated prevalence of p.P77R variant in our cohort (n = 14/25, 56%). Haplotype analysis in cases with p.P77R variant and 63 ethnicity matched healthy population controls suggested a 4 SNP haplotype block present in cases compared to controls (likelihood ratio test p-value = 1.16 × 10–13), thereby suggesting p.P77R variant as a founder variant in the Gujarati-Indian population. Furthermore, age of mutation analysis suggested the variant to have arisen approximately 450 years ago in the population.

Conclusion

p.P77R variant in the GLANS gene is likely to be a founder variant in MPS IVA patients of Gujarati-Indian ancestry and appeared approximately 450 years ago in the population. To our knowledge, this is the first variant to be posited as a founder variant in the GLANS gene in patients with MPS IVA syndrome.

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Background

Mucopolysaccharidosis IV A (MPS IVA, Morquio-A syndrome, OMIM#253,000) is an autosomal recessive disorder which is caused by the deficiency in enzyme activity of N-acetylgalactosamine-6-sulfate sulfatase (GALNS) due to biallelic variants in the GALNS gene (OMIM#612,222) [1, 2]. GALSN enzyme plays an essential role in the degradation of glycosaminoglycans (GAGs), keratan sulfate (KS) and chondroitin-6-sulfate (C6S) [3]. Therefore, deficiency in the GALNS enzyme activity leads to the accumulation of these substrates in the lysosomes, particularly in cartilage and cornea, leading to a wide gamut of clinical manifestations such as shorth trunk, short stature, genu valgum, pectus carinatum, kyphoscoliosis, joint laxity, dysmorphic face, hepatomegaly and abnormal gait [4].

MPS IVA is a rare lysosomal storage disorder, with an estimated incidence ranging from one in 76,000 in Northern Ireland to one in 640,000 births in Western Australia [4,5,6]. Although the study in the Asian population is scarce, the available data estimates the birth prevalence of MPS IVA to be 1 in 500,000 live births in Japan [7], 1 in 304,000 in Taiwan [8], and 1 in 701,000 live births in Malaysia [9].

The GALNS gene is situated on chromosome 16q24.3 and comprises of 14 exons spanning over 50 kb of genomic length and codes for a 522 amino acid GALNS protein with a signal peptide of 26 amino acids [10]. To date, a total of 333 variants in the GALNS gene have been reported which comprises of 248 missense/ nonsense variants, 32 small deletions, 5 small insertions, 2 small indels, 32 splice site variants and 3 complex rearrangements in the HGMD database [http://www.hgmd.org, accessed on 21st October 2021]. Of these, the 10 most commonly reported variants in MPS IVA patients from across the globe are: c.120 + 1G > A, c.337A > T, c.757C > T, c.860C > T, c.871G > A, c.901G > T, c.935C > G, c.953 T > G, c.1156C > T and c.1171A > G [11]. Some of these variants are also commonly observed in particular sub-populations such as c.120 + 1G > A in 91% of Tunisian patients, c.1171A > G and c.337A > T in 64% and 52% of the Irish patients respectively, c.757C > T in 89% of Pakistani patients and c.953 T > G in 58% of Chinese patients [11].

Interestingly for the Indian population, a large study of 68 unrelated MPS IVA patients from mostly northern and southern geographical regions identified 22 novel variants [12]. Of these, c.860C > T (8.82%), c.647 T > C (7.35%), c.95A > C (6.61%) and c.871G > T (5.88%) were the most frequent variant in the observed population compared to other populations [12]. However, considering the diverse genetic architecture of the sub-populations residing in the Indian sub-continent, the study is likely to miss variants predominant in patients from western and eastern parts of India.

Here, we present the mutation spectrum of the GALNS gene in 23 patients from unrelated families from the western part of India, predominantly Gujarat. Furthermore, we present evidence for p.P77R variant as a founder variant in the Gujarati-Indian sub-population through haplotype analysis and estimate its age of emergence in the population.

Results

Clinical and GALNS enzyme activity spectrum

A total of 23 patients affected with MPS IVA were included in the present study. Out of the 23 families, seven had consanguineous marriages and the remaining 16 families practised endogamy. The age at diagnosis ranged from 11 months to 21 years with a mean age of 4.32 years. Detailed clinical and anthropometric information is presented in Table 1. Common clinical features included: short stature, short fingers, short neck-trunk, and frontal bossing. Kyphosis was seen in 39% of the patients (n = 9/23) and platyspondyly in 21% of the patients (n = 5/23). Of note, other prominent features of MPS IVA such as corneal clouding and knock knee were seen in 1/23 (5%) and 7/23 (30%) patients, respectively. On the radiological assessment of the patients, the key findings were anterior beaking of the vertebral bodies, acetabular dysplasia, platyspondyly, and multiple dysplastic epiphyses. Due to the absence of growth parameters for these patients, we could not classify the disease severity.

Table 1 Clinical and anthropometric details of MPS IVA patients in the present study
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Elevated levels of urinary GAG were observed in all the patients with excess keratan sulfate (KS) and chondroitin sulfate (CS). The enzyme activity of N-acetylgalactosamine-6-sulfate sulfatase in all the patients was in the range of 0.02–11.1 nmol/hour/mg of protein and the mean enzyme activity was 2.30 nmol/hour/mg of protein which was less than 10% of the mean normal enzyme activity (Table 1).

GALNS gene mutation spectrum

The 23 patients harboured 11 different variants in the GALNS gene of which, 8 were missense variants (84%): c.107 T > G (p.L36R), c.116A > G (p.D39G), c.230C > G (p.P77R), c.235 T > C (p.C79R), c.374C > T (pP125L), c.452C > T (p.P151L), c.764G > C (p.G255A) and c.1049 T > C (p.L350P), 1 was a splice site variant (4%): c.121-7C > G, one small insertion (4%): c.1241_1242insA (p.I416HfsTer2) and one small deletion (4%): c.839_841delACA (Table 2; Fig. 1). Of these, 3 missense, one splice site and two indel variants were novel (p.D39G, p.G255A, p.L350P, c.121-7C > G, c.839_841delACA and c.1241_1242insA/p.I416HfsTer2) to our population (Table 2; Fig. 1). All 23 patients were observed to have a variant in the homozygous state except in two patients where the variants were likely to be compound heterozygous (c.230C > G (p.P77R)/ c.764G > C (p.G255A) and c.839_841delACA (p.N280del)/ c.374C > T (p.P125L); Table 2; Fig. 1). All known and novel variants were classed as pathogenic/ likely pathogenic according to the ACMG-AMP classification system [13].

Table 2 GALNS gene mutation identified in Gujarati-Indian MPS IVA patients using Sanger sequencing
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Fig. 1
figure 1

Schematic representation of the variants identified in the GALNS gene in patients with MPS IVA from India to date. Variants highlighted in red are observed in the present study whereas variants highlighted in blue are reported by Bidchol et al. 2014 [12] and the present study. Variants highlighted in green has reported in the Chinese population and the present study

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Interestingly, whilst the c.229C > T (p.P77S) variant had previously been reported in MPS IVA patients from India [12], the proportion of patients with another variant at the same amino acid residue c.230C > G (p.P77R) was significantly high in our cohort (60%; Table 2). Since our cohort was primarily derived from the same geo-ethnicity, a substantially higher than expected prevalence of the p.P77R variant in the cohort suggested it to be a potential founder variant.

GALNS p.P77R haplotype and age of variant estimation

A total of 31 SNPs were found between exons and exon–intron boundaries of the GALNS gene using the smMIP based sequencing approach within 13 cases and 63 controls. The haplotype associated with the p.P77R variant were formed by the SNP markers rs11076715, rs11076716 and rs377453859 with a total genomic length of 28.3 kb (Fig. 2A and B). We observed a significant enrichment for this haplotype in cases compared to controls (likelihood ratio test p-value = 1.16 × 10–13), suggesting the p.P77R to be a founder variant in the MPS IVA patients of Gujarati-Indian ethnicity. Analysis performed by the DMLE + 2.3 software estimated that the age of the GALNS p.P77R variant might be approximately 450 years (95% CI: 306–647 years) (Fig. 2C) in the Gujarati-Indian population.

Fig. 2
figure 2

Linkage disequilibrium, haplotype and age of variant analysis for p.P77R variant in the GALNS gene in Gujarati-Indian population. Linkage disequilibrium plot in A 63 controls B 13 cases with p.P77R variant in the GALNS gene. Red colour intensity represents strength of linkage disequilibrium (measured in R2) between 2 SNPs. C Predicted age of variant plot generated by the DMLE software. Green indicates values within 95% confidence intervals

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Discussion

Mutational spectrum analysis for a given disease in diverse populations have provided critical evidence for understanding disease pathophysiology, gene domains that are intolerant to variation and development of therapeutic strategies. Indeed, communities that are geographically isolated or practice consanguinity/ endogamy are likely to have founder variants. Identification of these variants are critical for developing and deploying targeted molecular diagnostics which could be used for initial screening, prenatal testing, reducing costs and turnaround time of tests [17]. Founder variants exhibit linkage disequilibrium with nearby genetic markers. The size of the linkage disequilibrium interval is inversely correlated with the time since the variant emerged in a given population and studying the prevalence of a given founder variant amongst different sub-populations could provide evidence for their shared ancestry [18].

The current study is the first to report the mutation spectrum within the GALNS gene in patients diagnosed with MPS IVA disease from the western part of India, especially Gujarat. Whilst ours is not the first study from India [12], the difference in the mutational spectrum between the two studies suggests either lack of or absence of patient cohort from the western part of India in the previous study. Furthermore, subtle differences in the phenotypic manifestation such as the mean age of the patient cohort (4.32 years in the current study versus 6.7 years in Bidchol et al.) could either be due to the method of recording the age (i.e. age at diagnosis in the current study versus age of presentation in Bidchol et al.) or manifestation of clinical phenotypes (severe or attenuated phenotype) which is age dependent. Another important aspect for consideration is that the majority of the patients on the current study were clinically assessed over 10 years ago and were not amenable to follow-up. Therefore, it is plausible that a detailed phenotype data capture may not have occurred in the current study and could lead to the differences in the reported phenotypes between both studies.

However, there are several grounds of congruence between the two studies, such as, similar prevalence of missense variants between the two studies (~ 80%). Indeed, the mutation data for the GALNS gene in the HGMD database also shows missense variants to be the most common. Out of the eight missense mutations identified in our study, five have been previously reported in MPS IVA patients from different populations (p.L36R, p.P77R, p.C79R, p.P125L and p.P151L). The mutation p.C79R was first reported in an Indian MPS IVA patient by Bidchol et al. followed by Leong et al. who reported the same mutation in an Indian patient from Malaysia [9, 12]. Likewise, p.P125L and p.P151L have been previously reported in Chinese and Indian populations [12, 16]. Structural studies have shown the amino acid Proline at the 125th position to be located in the N-cap domain of the alpha-helix. Also, the amino acid Proline at the 151st position is a conserved amino acid. Hence, any substitution at these positions is likely to result in modification of the packing and disturbing the tertiary structure of the GALNS protein [19]. The two most common variants identified in the present study cohort were p.L36R and p.P77R. The p.L36R variant reported by Bidchol et al. is predicted in silico to affected secondary structures and hydrophobic core of the GALNS protein [12], whereas another missense change at the same amino acid residue p.L36P is associated with an attenuated phenotype as reported by Tomatsu et al. [20]. In congruence with this, the patients in our cohort with this variant presented with relatively milder phenotype. The variant p.P77R was first reported by Tomatsu et al. in a MPS IVA patient of Indian ethnicity [15]. This mutation has been reported in patients with severe phenotype [21]. Also, the amino acid Proline at position 77 has a key role in preventing the internalization in the hydrophobic patch of the GALNS protein. The positively charged side chain of arginine instead of proline is expected to have a destabilizing effect in this process [19]. Interestingly, none of the ten most common mutations in the GALNS gene mentioned in the earlier reports were found in our study. This observation is similar to that made by Bidchol et al. in their cohort of Indian patients [12]. This gives strong evidence about the molecular heterogeneity in India as well as the presence of a distinct mutation spectrum for the Indian sub-populations.

Haplotype analyses have previously been conducted in lysosomal storage disorders to identify founder variants, for example, GBA p.N370S in Ashkenazi Jewish population [22] and GBA p.G85E in Korean population [23]. Indeed, our group has previously identified a common variant p.E462V in the HEXA gene in Tay Sach disease patients of Gujarati Indian ethnicity [24]. However, to our knowledge, no founder variant has been identified to date for MPS IVA patients throughout the world. To demonstrate that the variant p.P77R emerged due to a founder effect, a total of 30 SNPs were analysed of which 3 SNPs formed a strong linkage disequilibrium with the variant, which was observed across all 13 unrelated families in the current study. This variant may have emerged within the population itself or may have been brought through immigration and subsequent population bottleneck. However, due to the lack of mutational data availability from sub-populations residing in geographical units around Gujarat, it is difficult to assess the emergence of this variant and estimate number of carriers for this variant outside Gujarat. The Indian population is highly heterogeneous with each sub-population likely practicing endogamy/ consanguinity, hence, an accurate method for determination of the ethnicity of the studied individuals would be with the use of high-density SNP arrays, an analysis which is beyond the scope of the present study.

Technological advances coupled with population specific genetic architecture details provides a valuable tool for an efficient diagnosis and screening strategies for rare diseases like MPS IVA. In our study, we used urinary GAG as a screening test which is a relatively inexpensive approach for detection of MPS IVA patients. This screening test coupled with typical phenotypic features and founder mutation testing is likely to help towards rapid and low-cost diagnosis of MPS IVA patients in Gujarat. With the Gujarati-Indians forming large diasporas in several western nations including the USA and UK, the impact of the current study on MPS IVA diagnostics is likely to be profound beyond India.

We hereby provide the first report showcasing the mutation spectrum in the GALNS gene amongst MPS IVA patients of the Gujarati-Indian origin. Furthermore, we provide evidence of a founder effect for the p.P77R variant in the Gujarati-Indian population with an estimated age of the variant to be approximately 450 years, which can be used as first-line marker for rapid genetic diagnosis in this population.

Materials and methods

Patient recruitment

The present study comprises of 23 unrelated families with at least one member with clinical suspicion of MPS IVA (N = 23). These patients were recruited on the study after obtaining written informed consent from their parents/ guardians. The patients were clinically suspected of MPS IVA and their diagnosis was confirmed by the presence of keratan sulfate in urinary GAG one dimensional electrophoresis study followed by beta-galactosidase sulfate assay. Clinical history, family history and consanguinity details were recorded in pre-designed clinical pro forma. Sixty-three unrelated individuals from the same ethno-geographic group were recruited as controls. The study protocol was approved by the Institutional Ethics Committee of the Foundation for Research in Genetics and Endocrinology, Ahmedabad (Registration no: E/13237) as per the Helsinki Declaration. 5 ml of peripheral whole blood was collected from cases and controls for GALNS enzyme and molecular diagnostic assays. Furthermore, 10-15 ml of urine sample was collected from cases for urinary GAG testing.

Urinary GAG testing and GALNS enzyme assay

Urinary GAG quantitative study was performed using dimethylmethylene blue dye based spectroscopic method [25]. The concentration of urine creatinine of individual patients was measured using Liquixx Creatinine Kit (Erba Mannheim, Germany) as per the manufacturer’s instructions. The pre-treatment of urine prior to the qualitative analysis of GAGs by electrophoresis was performed according to the protocol by Hopwood and Harrison 1982 [26]. Lysosomal enzyme β-galactose-6-sulfate-sulfatase activity was carried out from leukocytes using fluorogenic synthetic substrate 4-methylumbelliferyl-β-galactose-6-sulfate-triethyl ammonium as described by Van Diggelen et al., 1990 [27]. The fluorescence of free 4-methylumbelliferone (4 MU) was measured by LS55 spectrofluorometer (Perkin Elmer, USA) to determine the β-galactose-6-sulfate-sulfatase activity. Protein concentration was determined by the Lowry method. The enzyme activity was expressed as the amount of substrate in nmol cleaved per hour per mg of protein in the cell lysates. Normal range for the GALNS enzyme activity was 14–32 nmol/hr/mg of protein.

GALNS gene mutation identification by Sanger sequencing

For all cases and controls, high molecular weight genomic DNA was isolated from peripheral blood by the salting-out method [28]. Exon and exon–intron boundaries of the GALNS gene were amplified by PCR in 14 fragments using 14 primer pairs (Supplementary Table 1). A 10 μl reaction mixture for the DNA amplification of each fragment was made up of 100 ng genomic DNA, 1 mM dNTPs, and 10X Cetus buffer. 30 cycles of amplification were performed, each consisting of denaturation at 94℃ for 1 min, annealing at 60–65℃ suitable for each exon for 45 s, and extension at 72℃ for 45 s in a thermal cycler. The final extension time was at 72℃ for 10 min. PCR products along with a 100 base-pair DNA ladder were then subjected to electrophoresis in 2% agarose gel for validation of amplification and the amplified products were purified using Exo-SAP-IT™ (USB Corporation, OH, USA). The purified products were sequenced using BigDye Terminator v3.1 and capillary electrophoresis was performed using an automated sequencer ABI-3500 (Applied Biosystems, CA, USA) for mutation analysis of GALNS. Bi-directional sequencing data was analysed by comparing the sequence read with the reference sequence of the GALNS gene (RefSeq cDNA NM_000512.5). Identified variants were annotated with data from 1000genomes, gnomAD, dbSNP and the Human Gene Mutation Databases. In silico assessment of variant pathogenicity was carried out using SIFT (Sorting Intolerant From Tolerant) (http://sift.jcvi.org), Polyphen2 (Polymorphism Phenotyping v2) (http://genetics.bwh.harvard.edu/pph2/), MutPred (http://mutpred.mutdb.org/), PROVEAN (http://provean.jcbi.org) and MutationTaster (http://www.mutationtaster.org/). Finally, variants were annotated for pathogenicity using the ACMG-AMP classification system for single nucleotide variants [13].

SNP genotyping in the GANLS gene for haplotype analysis of p.P77R variant

A total of 12 out of 14 cases harbouring p.P77R variant and 63 controls were genotyped for common single nucleotide polymorphisms (SNPs) in the GALNS gene for haplotype analysis using targeted capture by single molecule molecular inversion probe (smMIP) based sequencing assay. Patients P14 and P21 were not included in the analysis due to the lack of adequate amount of genomic DNA required for the assay. Additionally, an MPS IVA patient of Gujarati-Indian ethnicity was included in the haplotype analysis as the patient had previously been identified with a heterozygous p.P77R variant, although, clinical phenotype data was unavailable. Briefly, smMIPs targeting exons and exon–intron boundaries of the GANLS gene were designed using the MIPgen tool [29]. smMIP probes were designed against the GCRh37/hg19 human reference genome build with following set of parameters: a target capture size of 110 bp, a combined length of 40 bp for the targeting arms, 5 bp unique molecular barcode sequence and no common single nucleotide polymorphisms (SNPs; dbSNP151 database) in the smMIP extension or ligation arm. A total of 40 smMIPs were designed (Supplementary Table 2). The smMIP capture was performed in accordance with the protocol described, with minor modifications [30]. In short, the regions of interest were captured in a reaction containing a molecular ratio between genomic DNA and smMIP of 1:1000. The smMIP capturing conditions were 10 min at 95 °C for denaturation, followed by an incubation period of 16–18 h during which hybridization of the phosphorylated smMIPs to the single stranded target DNA occurs together with gap-fill and probe circularization via ligation. All non-circular targets were digested by exonuclease treatment and the circular targets were amplified with primers containing sample specific barcoded reverse primers with following PCR conditions: 30 s at 98 °C followed by 20 cycles of 10 s at 98 °C, 30 s at 60 °C and 30 s at 72 °C and 2 min at 72 °C. Primers used for amplification contained adapters compatible with Illumina sequencing [31]. After PCR, libraries were pooled each from 76 barcoded individual libraries. The pooled libraries were purified using Agencourt AMPure XP beads according to the manufacturer’s protocol (Beckman Coulter, USA) and the final library was diluted to a concentration of 9 pM and subsequently sequenced on a MiSeq platform (Illumina, USA) according to the manufacturer’s protocol (300 cycles; V3 kit) resulting in 2 × 156 bp paired end reads.

Data was analysed using an in-hose smMIP pipeline which involved: trimming of 5 bp unique molecular barcode (UMB) from fastq files and stored for later use, read alignment against the GCRh37/hg19 human reference genome using BWA mem (v0.7.12) [32] with output presented as a sample specific BAM file amalgamated with UMB data, base quality score recalibration using GATK v4.1.12 and single nucleotide variants and indel calling using GATK’s HaplotypeCaller v4.1.12 to create a VCF file. Data from VCF file was annotated with 1000 genomes and gnomAD databases to identify common SNPs (> 5% minor allele frequency) in the general population and the filtered SNPs were then transposed to a multi-sample excel sheet (Supplementary File 1).

Haplotype reconstruction and age of p.P77R variant

All analyses were carried out using GCRh37/hg19 chromosomal positions. SNPs along the coding regions of the GALNS gene were sued to obtain the haplotype that flanks the p.P77R variant in 13 cases and 63 controls. SNPs were assessed for Hardy–Weinberg equilibrium within the control cohort and any SNP not equilibrium was not assessed in the downstream analyses. Pairwise linkage disequilibrium using -pwld- command was used to estimate SNPs in linkage disequilibrium (R2 score). Association of the linkage disequilibrium block between cases and controls was assessed using the likelihood ratio test and -hapipf- command. A two-sided p-value of < 0.05 was considered statistically significant. All haplotype analysis was carried out using Stata v12. A 4 SNP haplotype block was selected for variant dating. The DMLE + 2.3 software [33] was used to estimate the age of p.P77R variant. The algorithm uses an intra-allelic coalescent model to assess the linkage disequilibrium across the marker set coupled to marker locations, population growth rate (0.01 for India), proportion of population samples (0.00248 for Gujarat) and a proportion of disease bearing chromosomes. Full input details are available in the Supplementary File 2.

Availability of data and materials

Raw data used for haplotype analysis and mutational age estimation is provided as supplementary files. Furthermore, raw sequence files generated from smMIP based targeted sequencing can be accessed from the European Nucleotide Archive (Project Accession: PRJEB51874) using the link https://www.ebi.ac.uk/ena/browser/search.

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Acknowledgements

We acknowledge Sudha Srinivasan for her valuable inputs in haplotype analyses. We are grateful to all the patients and their families for the support, as without their consent this study would not have been possible.

Funding

This work was partially supported by the Indian Council of Medical Research grant (BMS:54/2010) and the Gujarat State Biotechnology Mission grant (GSBTM/JDR&D/608/2020/459–461). The funding agencies were not directly or indirectly involved in the study design, specimen collection, analysis, interpretation and preparation of the manuscript.

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Authors and Affiliations

  1. FRIGE’s Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, Gujarat, 380015, India

    Harsh Sheth, Riddhi Bhavsar, Aadhira Nair, Frenny Sheth & Jayesh Sheth

  2. Rainbow Super Speciality Hospital and Children’s Orthopedic Centre, Ahmedabad, India

    Premal Naik

  3. Orthokids Clinic, Ahmedabad, India

    Maulin Shah

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  1. Harsh Sheth
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Contributions

HS, JS and FS conceived and planned experiments. PN, MS and JS carried out recruitment of cases and controls. RB and AN carried-out experiments and data analysis. HS, AN and JS were involved in statistical analysis and interpretation. HS, AN and FS wrote the first draft of the manuscript. All authors proofread the manuscript. The author(s) read and approved the final manuscript.

Corresponding authors

Correspondence to Harsh Sheth or Jayesh Sheth.

Ethics declarations

Ethics approval and consent to participate

Present study under submission has been approved by the institutional ethics committee [FRIGE’s Institute of Human Genetics] with approval number FRIGE/IEC/5/2010 dated 7th March, 2010. This process is in accordance with the Helsinki declaration. An informed consent was obtained from the parents before enrolling the patients for the investigations.

Consent for publication

An informed consent for publication of non-identifiable data was also obtained from parents of patients or individuals included in the submission. [This was in accordance with the requirement of the institutional ethics committee].

Competing interests

The authors declare that they have no conflict of interests.

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Supplementary Information

Additional file 1: Supplementary Table 1.

List of primer pairs used to amplify exon/ exon intron boundaries of the GALNS gene for Sanger sequencing.

Additional file 2: Supplementary Table 2.

List of single molecule molecular inversion probes for target capture of exons and exon-intron boundaries of the GALNS gene.

Additional file 3: Supplementary File 1.

Genotyped SNP output data from 13 MPS IVA patients and 63 controls used for haplotype analysis.

Additional file 4: Supplementary File 2.

Input file for DMLE software for age of variant analysis.

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Sheth, H., Naik, P., Shah, M. et al. The GALNS p.P77R variant is a probable Gujarati-Indian founder mutation causing Mucopolysaccharidosis IVA syndrome. BMC Genomics 23, 458 (2022). https://doi.org/10.1186/s12864-022-08693-4

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Keywords

BMC Genomics

ISSN: 1471-2164

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