Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2024 Jul 1.
Published in final edited form as: Clin Dysmorphol. 2023 Feb 28;32(3):112–115. doi: 10.1097/MCD.0000000000000452

Extended analysis of exome sequencing data reveals a novel homozygous deletion of exons 3 and 4 in FUCA1 gene causing fucosidosis in an Indian family

Michelle C do Rosario 1, Greeshma Purushothama 1, Dhanya Lakshmi Narayanan 1,3, Shahyan Siddiqui 2, Katta Mohan Girisha 1, Anju Shukla 1
PMCID: PMC10238607  NIHMSID: NIHMS1868730  PMID: 36876340

1. Background

Fucosidosis (MIM# 230000) is a neurodegenerative disorder characterised by coarse facial features, growth retardation, recurrent upper respiratory infections, seizures, dysostosis multiplex and angiokeratoma corporis diffusum as seen in other lysosomal storage disorders. It is caused by biallelic pathogenic variants in FUCA1 (MIM*612280) which results in α-L-fucosidase deficiency. Due to deficiency of α-L-fucosidase enzyme, there is accumulation of fucose-containing glycolipids and glycoproteins in various tissues of the body and urine (Willems et al., 1999). Till date, approximately 120 families have been described with fucosidosis. The highest incidence is seen in Italy and Hispanic-American population. Only 38 pathogenic variants are reported in the FUCA1 gene that is associated with fucosidosis (Willems et al., 1991). We discuss the importance of deep phenotyping using magnetic resonance imaging in the diagnostic process. Further, we discuss the significance of extended analysis of exome sequencing data using Integrative Genomics Viewer.

2. Case presentation

Proband, a 2-years-and-4-months female, second-born to fourth degree consanguineously married parents, presented with developmental delay and neurological deterioration (Figure 1A). She was born at term via vaginal delivery. Her birth weight was 3 Kg (−0.5 SD) and the perinatal period was uneventful.

Figure 1:

Figure 1:

A) Pedigree of the family. B) Clinical photograph of the proband showing coarse facial features, mild pectus excavatum, and Mongolian spots over back. C) MRI showing confluent and symmetric T2W hyperintensities in the periventricular and subcortical white matter suggesting hypomyelination, T2W signal hyperintensity in the posterior limb of the internal capsule, significant T2W hypointensities in the globi pallidi, and T1W images showing thin corpus callosum.

At one and a half months of age, she was admitted with complaints of fever and respiratory distress and received supportive treatment for persistent pneumonia with lung abscess aspergillosis and gastroesophageal reflux in the neonatal intensive care unit for a period of 45 days. She was started on antibiotics like cefalexin, sulfamethoxazole, trimethoprim and oxiconazole, an antifungal medication for the management of pneumonia and upper respiratory tract infection. Following this, she had recurrent episodes of lower respiratory tract infections requiring three hospital admissions within the first year of life. She was given nutritional support through nasogastric feeding until 10 months of age. There was a delay in her development which was followed by neuroregression after two years of age. She attained social smile at 2 months, head control at 8 months, rolling over at 12 months, sitting with support at 15 months, standing with support at 18 months and monosyllables at 18 months. At 2 years 4 months of age, she was admitted with complaints of seizures, manifesting as involuntary movements of all four limbs with upward rolling of eyes lasting for 5 to 10 seconds observed once in every 2 days. For management of seizures, phenobarbitone 30 mg twice a day was advised. Over a period of 2 months, the frequency of seizures increased to 4 to 5 times a day. At 2 years 6 months of age, she was hospitalised with complaints of fever, left focal seizures and impaired awareness. She was started on intravenous antibiotics such as piperacillin/tazobactum, amikacin and vancomycin as well as the antifungal medication, fluconazole. In addition, she was given multivitamin supplementation containing thiamine, riboflavin, carnitine and Coenzyme Q. At the age of 3 years, she had another episode of refractory seizures. She did not respond to supportive treatment and succumbed during this illness.

On examination, her occipitofrontal circumference was 47 cm (−0.46 SD) and height was 88 cm (−0.3 SD). She had coarse facial features, square face, flat facial profile, hypertelorism, broad nose, thick lips, high arched palate, mild pectus excavatum, everted umbilicus and Mongolian spots on the back (Figure 1B). She had hypotonia in all four limbs and had right ankle contractures.

3. Investigations

At one and a half month of age, her hemoglobin electrophoresis showed beta thalassemia trait, macrocytic normochromic anemia, low B cell count and NK cell count. At 2 years of age, her electroencephalography (EEG) showed moderate encephalopathy. Considering, the presence of seizures, autoimmune workup was done which came back negative. Her brain MRI was reviewed in detail and it was indicative of hypomyelination, with confluent and symmetric T2W hyperintensities in the periventricular and subcortical white matter and T2W hypointensities in the globi pallidi suggestive of fucosidosis (Figure 1C). Radiographs of this patient were unavailable.

4. Molecular testing

After the initial clinical evaluation, informed consents approved by institutional ethics committee were obtained from the family in accordance with Helsinki declaration. Peripheral blood samples were collected from the proband and her parents. DNA was extracted using QIAamp DNA Mini Kit. Exome sequencing (ES) was performed for the proband as described previously (Girisha et al., 2019). The ES data was processed using ANNOVAR and customised scripts(Kausthubham et al., 2021). Further, manual inspection of exome sequencing data by a genome visualisation tool and copy number variation (CNV) analysis was performed using exome data by ExomeDepth algorithm. Validation of the causative variant identified was done by quantitative PCR (qPCR) by comparative quantification Ct (ΔΔCt) method (Livak and Schmittgen, 2001) on genomic DNA of the proband and clinically normal parents using Applied Biosystems StepOneTM Real-Time PCR System, PowerUp SYBR Green PCR Master Mix and StepOne Software v2.3 for data analysis. The relative exon copy number was calculated by the expression 2 × 2-ΔΔCt and is approximately two for a diploid sample, one for heterozygous deletion and zero for homozygous deletion.

5. Result

No clinically relevant single nucleotide variations, small deletions/duplications or indels were observed in the proband on exome sequencing. Analysis of exome sequencing data, specifically the FUCA1 gene was done using Integrative Genomics Viewer which revealed a homozygous deletion, spanning exons 3 and 4 of FUCA1 (NM_000147.5) (Figure 2A). This deletion (chr1:23859648-23865720) was further confirmed by CNV analysis in the proband. Segregation and validation were done by qPCR. Values of amplicons in the proband was zero and one copy number in her parents in comparison to that of diploid unrelated control sample (Figure 2B). These findings indicate homozygous deletion in the proband and heterozygous deletion in the parents.

Figure 2:

Figure 2:

A) Integrative genomic viewer showing absence of reads of exons 3 and 4 in FUCA1 B) qPCR analysis depicting homozygous deletion in proband and heterozygous deletion in the parents in FUCA1

6. Discussion

We describe a 2-years-and-4-months child with fucosidosis caused due to biallelic deletion of exons 3 and 4 in FUCA1. Fucosidosis (OMIM# 230000) is a lysosomal storage disorder caused by biallelic pathogenic variants in FUCA1 (MIM*612280) with the highest incidence described in Italy, in the Hispanic-American population (Willems et al., 1999). Fucosidosis is a progressive neurodegenerative disorder with features like coarse facial features, growth retardation, recurrent respiratory infections, dysostosis multiplex and angiokeratoma corporis diffusum (Willems et al., 1991). Till date, approximately 120 families and 38 pathogenic variants in FUCA1 have been associated with fucosidosis. As there is substantial phenotypic variability in clinical manifestation of fucosidosis, it was previously classified as type 1 and type 2. Type 1 follows a rapidly progressing neurodegenerative course with symptoms noticeable at the age of 1 to 2 years and death before the age of 10 years depending on the clinical severity. Whereas type 2 was a milder form of the condition and symptoms appear progressively and possibly survive into adulthood. As more cases have been reported, it is now considered as a continuous clinical spectrum with variable severity of phenotype (Willems et al., 1991). Phenotypic variability and the overlapping symptoms of fucosidosis with metabolic and autoimmune diseases can cause a delay in diagnosis (Wynne et al., 2018). Magnetic resonance imaging pattern recognition with signs of hypomyelination and signal abnormalities in globus pallidus can be suggestive of fucosidosis (Ediz et al., 2016).

The FUCA1 gene produces a lysosomal enzyme, α-L-fucosidase which helps in the degradation of fucose containing glycoproteins and glycolipids. Deficiency of α-L-fucosidase enzyme results in the accumulation of fucosylated glycoconjugates in tissues such as liver and abnormal excretion in urine (Michalski and Klein, 1999). Most pathogenic variants seen in the FUCA1 gene are intragenic small deletions/insertions (INDELs) and missense, nonsense, splice sites variants and can be identified through sequence analysis. Previously, two exonic deletions were reported in the FUCA1 gene known to be associated with fucosidosis. We report a novel deletion of exons 3 and 4 in FUCA1 identified by manual inspection of exome sequencing data using a genome visualizer tool and further confirmed by copy number variation analysis from exome sequencing data and qPCR. In cases where the clinician suspects fucosidosis to be the most probable diagnosis and no sequence variant is identified in the FUCA1 gene, deletion/duplication analysis is recommended (Stepien, Ciara and Jezela-Stanek, 2020).

To conclude, deep phenotyping using neuroimaging is significant in the diagnostic process of fucosidosis. We report an additional individual with a novel homozygous deletion of exons 3 and 4 in the FUCA1 gene associated with fucosidosis.

Acknowledgements

We are grateful to the patient and her family for participating in the study. We also thank the National Institutes of Health (NIH), United States of America for funding the project titled ‘Genetic Diagnosis of Neurodevelopmental Disorders in India’ (1R01HD093570-01A1).

Funding

The National Institutes of Health, United States of America funded the project titled ‘Genetic Diagnosis of Neurodevelopmental Disorders in India’ (Grant ID: 1R01HD093570-01A1).

Footnotes

Conflict of interest statement

The authors declare no conflict of interest. All the authors have read and approved the manuscript.

References

  1. Ediz SS, Aralasmak A, Yilmaz TF, Toprak H, Yesil G & Alkan A (2016). MRI and MRS findings in fucosidosis; a rare lysosomal storage disease. Brain Dev 38:435–438. [DOI] [PubMed] [Google Scholar]
  2. Girisha KM, von Elsner L, Neethukrishna K, Muranjan M, Shukla A, Bhavani GS, Nishimura G, Kutsche K & Mortier G (2019). The homozygous variant c.797G>A/p.(Cys266Tyr) in PISD is associated with a Spondyloepimetaphyseal dysplasia with large epiphyses and disturbed mitochondrial function. Hum Mutat 40:299–309. [DOI] [PubMed] [Google Scholar]
  3. Kausthubham N, Shukla A, Gupta N, Bhavani GS, Kulshrestha S, Das Bhowmik A, Moirangthem A, Bijarnia-Mahay S, Kabra M, Puri RD, Mandal K, Verma IC, Bielas SL, Phadke SR, Dalal A & Girisha KM (2021). A data set of variants derived from 1455 clinical and research exomes is efficient in variant prioritization for early-onset monogenic disorders in Indians. Hum Mutat 42:e15–e61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Livak KJ & Schmittgen TD (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25:402–408. [DOI] [PubMed] [Google Scholar]
  5. Michalski JC & Klein A (1999). Glycoprotein lysosomal storage disorders: alpha- and beta-mannosidosis, fucosidosis and alpha-N-acetylgalactosaminidase deficiency. Biochim Biophys Acta 1455:69–84. [DOI] [PubMed] [Google Scholar]
  6. Stepien KM, Ciara E & Jezela-Stanek A (2020). Fucosidosis-Clinical Manifestation, Long-Term Outcomes, and Genetic Profile-Review and Case Series. Genes (Basel) 11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Willems PJ, Gatti R, Darby JK, Romeo G, Durand P, Dumon JE & O’Brien JS (1991). Fucosidosis revisited: a review of 77 patients. Am J Med Genet 38:111–131. [DOI] [PubMed] [Google Scholar]
  8. Willems PJ, Seo HC, Coucke P, Tonlorenzi R & O’Brien JS (1999). Spectrum of mutations in fucosidosis. Eur J Hum Genet 7:60–67. [DOI] [PubMed] [Google Scholar]
  9. Wynne E, Wynne K, Cleary M & Brogan PA (2018). Fucosidosis mimicking juvenile idiopathic arthritis. Rheumatol Adv Pract 2:rky040. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES