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Sheth H, Nair A, Bhavsar R, Kamate M, Gowda VK, Bavdekar A, Kadam S, Nampoothiri S, Panigrahi I, Kaur A, Shah S, Mehta S, Jagadeesan S, Suresh I, Kapoor S, Bajaj S, Devi RR, Prajapati A, Godbole K, Patel H, Luhar Z, Shah RC, Iyer A, Bijarnia S, Puri R, Muranjan M, Shah A, Magar S, Gupta N, Tayade N, Gandhi A, Sowani A, Kale S, Jalan A, Solanki D, Dalal A, Mane S, Prabha CR, Sheth F, Joshi CG, Joshi M, Sheth J. Development, validation and application of single molecule molecular inversion probe based novel integrated genetic screening method for 29 common lysosomal storage disorders in India. Hum Genomics 2024; 18:46. [PMID: 38730490 PMCID: PMC11088154 DOI: 10.1186/s40246-024-00613-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Current clinical diagnosis pathway for lysosomal storage disorders (LSDs) involves sequential biochemical enzymatic tests followed by DNA sequencing, which is iterative, has low diagnostic yield and is costly due to overlapping clinical presentations. Here, we describe a novel low-cost and high-throughput sequencing assay using single-molecule molecular inversion probes (smMIPs) to screen for causative single nucleotide variants (SNVs) and copy number variants (CNVs) in genes associated with 29 common LSDs in India. RESULTS 903 smMIPs were designed to target exon and exon-intron boundaries of targeted genes (n = 23; 53.7 kb of the human genome) and were equimolarly pooled to create a sequencing library. After extensive validation in a cohort of 50 patients, we screened 300 patients with either biochemical diagnosis (n = 187) or clinical suspicion (n = 113) of LSDs. A diagnostic yield of 83.4% was observed in patients with prior biochemical diagnosis of LSD. Furthermore, diagnostic yield of 73.9% (n = 54/73) was observed in patients with high clinical suspicion of LSD in contrast with 2.4% (n = 1/40) in patients with low clinical suspicion of LSD. In addition to detecting SNVs, the assay could detect single and multi-exon copy number variants with high confidence. Critically, Niemann-Pick disease type C and neuronal ceroid lipofuscinosis-6 diseases for which biochemical testing is unavailable, could be diagnosed using our assay. Lastly, we observed a non-inferior performance of the assay in DNA extracted from dried blood spots in comparison with whole blood. CONCLUSION We developed a flexible and scalable assay to reliably detect genetic causes of 29 common LSDs in India. The assay consolidates the detection of multiple variant types in multiple sample types while having improved diagnostic yield at same or lower cost compared to current clinical paradigm.
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Affiliation(s)
- Harsh Sheth
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015.
| | - Aadhira Nair
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | - Riddhi Bhavsar
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | - Mahesh Kamate
- KLES Prabhakar Kore Hospital, Belgaum, Karnataka, India
| | - Vykuntaraju K Gowda
- Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India
| | | | - Sandeep Kadam
- Department of Pediatrics, K.E.M Hospital, Pune, India
| | | | - Inusha Panigrahi
- Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Anupriya Kaur
- Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Siddharth Shah
- Royal Institute of Child Neurosciences, Vastrapur, Ahmedabad, India
| | - Sanjeev Mehta
- Royal Institute of Child Neurosciences, Vastrapur, Ahmedabad, India
| | - Sujatha Jagadeesan
- Department of Clinical Genetics and Genetic Counselling, Mediscan Systems, Chennai, India
| | - Indrani Suresh
- Department of Clinical Genetics and Genetic Counselling, Mediscan Systems, Chennai, India
| | - Seema Kapoor
- Division of Genetics and Metabolism Department of Pediatrics, Lok Nayak Hospital and Maulana Azad Medical College, New Delhi, India
| | - Shruti Bajaj
- The Purple Gene Clinic, Simplex Khushaangan, SV Road, Malad West, Mumbai, India
| | | | | | - Koumudi Godbole
- Deenanath Mangeshkar Hospital &Amp; Research Centre, Pune, India
| | - Harsh Patel
- Zydus Hospital & Healthcare Research Pvt Ltd, Ahmedabad, India
| | | | - Raju C Shah
- Ankur Institute of Child Health, Ahmedabad, India
| | | | - Sunita Bijarnia
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Ratna Puri
- Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India
| | - Mamta Muranjan
- Department of Paediatrics, KEM Hospital, Parel, Mumbai, India
| | - Ami Shah
- BJ Wadia Hospital for Children, Parel, Mumbai, India
| | | | - Neerja Gupta
- Division of Genetics, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Naresh Tayade
- Department of Pediatrics, Dr. Panjabrao Deshmukh Memorial Medical College, Amravati, India
| | | | - Ajit Sowani
- Zydus Hospital & Healthcare Research Pvt Ltd, Ahmedabad, India
| | - Shrutikaa Kale
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | | | - Dhaval Solanki
- Mantra Child Neurology and Epilepsy Hospital, Bhavnagar, India
| | - Ashwin Dalal
- Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India
| | - Shrikant Mane
- Department of Genetics, Yale School of Medicine, Yale Center for Genome Analysis, West Haven, CT, USA
| | - C Ratna Prabha
- Department of Biochemistry, Faculty of Science, The M. S. University of Baroda, Vadodara, India
| | - Frenny Sheth
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015
| | | | - Madhvi Joshi
- Gujarat Biotechnology Research Centre, Gandhinagar, Gujarat, India
| | - Jayesh Sheth
- FRIGE Institute of Human Genetics, FRIGE House, Jodhpur Village Road, Satellite, Ahmedabad, India, 380015.
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Tendi EA, Morello G, Guarnaccia M, La Cognata V, Petralia S, Messina MA, Meli C, Fiumara A, Ruggieri M, Cavallaro S. Detection of Single-Nucleotide and Copy Number Defects Underlying Hyperphenylalaninemia by Next-Generation Sequencing. Biomedicines 2023; 11:1899. [PMID: 37509538 PMCID: PMC10377317 DOI: 10.3390/biomedicines11071899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
Hyperphenylalaninemia (HPA) is the most common inherited amino acid metabolism disorder characterized by serious clinical manifestations, including irreversible brain damage, intellectual deficiency and epilepsy. Due to its extensive genic and allelic heterogeneity, next-generation sequencing (NGS) technology may help to identify the molecular basis of this genetic disease. Herein, we describe the development and validation of a targeted NGS (tNGS) approach for the simultaneous detection of single-nucleotide changes and copy number variations (CNVs) in genes associated with HPA (PAH, GCH1, PTS, QDPR, PCBD1, DNAJC12) or useful for its differential diagnosis (SPR). Our tNGS approach offers the possibility to detail, with a high accuracy and in a single workflow, the combined effect of a broader spectrum of genomic variants in a comprehensive view, providing a significant step forward in the development of optimized patient care and management.
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Affiliation(s)
- Elisabetta Anna Tendi
- Biomedical Sciences Department, Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami 18, 95026 Catania, Italy
| | - Giovanna Morello
- Biomedical Sciences Department, Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami 18, 95026 Catania, Italy
| | - Maria Guarnaccia
- Biomedical Sciences Department, Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami 18, 95026 Catania, Italy
| | - Valentina La Cognata
- Biomedical Sciences Department, Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami 18, 95026 Catania, Italy
| | - Salvatore Petralia
- Department of Drug and Health Sciences, University of Catania, 95125 Catania, Italy
| | - Maria Anna Messina
- Regional Reference Center for the Treatment and Control of Congenital Metabolic Diseases of Childhood, Department of Clinical and Experimental Medicine, University Hospital Policlinico "Rodolico-San Marco", 95123 Catania, Italy
| | - Concetta Meli
- Regional Reference Center for the Treatment and Control of Congenital Metabolic Diseases of Childhood, Department of Clinical and Experimental Medicine, University Hospital Policlinico "Rodolico-San Marco", 95123 Catania, Italy
| | - Agata Fiumara
- Regional Reference Center for the Treatment and Control of Congenital Metabolic Diseases of Childhood, Department of Clinical and Experimental Medicine, University Hospital Policlinico "Rodolico-San Marco", 95123 Catania, Italy
| | - Martino Ruggieri
- Unit of Rare Diseases of the Nervous System in Childhood, Section of Pediatrics and Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University Hospital Policlinico "Rodolico-San Marco", 95123 Catania, Italy
| | - Sebastiano Cavallaro
- Biomedical Sciences Department, Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami 18, 95026 Catania, Italy
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La Cognata V, Cavallaro S. Detection of Structural Variants by NGS: Revealing Missing Alleles in Lysosomal Storage Diseases. Biomedicines 2022; 10:biomedicines10081836. [PMID: 36009380 PMCID: PMC9405548 DOI: 10.3390/biomedicines10081836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/22/2022] [Accepted: 07/26/2022] [Indexed: 11/16/2022] Open
Abstract
Lysosomal storage diseases (LSDs) are a heterogeneous group of rare multisystem metabolic disorders occurring mostly in infancy and childhood, characterized by a gradual accumulation of non-degraded substrates inside the cells. Although biochemical enzymatic assays are considered the gold standard for diagnosis of symptomatic patients, genotyping is a requirement for inclusion in enzyme replacement programs and is a prerequisite for carrier tests in relatives and DNA-based prenatal diagnosis. The emerging next-generation sequencing (NGS) technologies are now offering a powerful diagnostic tool for genotyping LSDs patients by providing faster, cheaper, and higher-resolution testing options, and are allowing to unravel, in a single integrated workflow SNVs, small insertions and deletions (indels), as well as major structural variations (SVs) responsible for the pathology. Here, we summarize the current knowledge about the most recurrent and private SVs involving LSDs-related genes, review advantages and drawbacks related to the use of the NGS in the SVs detection, and discuss the challenges to bring this type of analysis in clinical diagnostics.
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