Scalable noninvasive amplicon-based precision sequencing (SNAPseq) for genetic diagnosis and screening of β-thalassemia and sickle cell disease using a next-generation sequencing platform.

high-throughput amplicon sequencing molecular diagnosis next-generation sequencing sickle cell disease β-hemoglobinopathies β-thalassemia

Journal

Frontiers in molecular biosciences
ISSN: 2296-889X
Titre abrégé: Front Mol Biosci
Pays: Switzerland
ID NLM: 101653173

Informations de publication

Date de publication:
2023
Historique:
received: 22 06 2023
accepted: 16 11 2023
medline: 28 12 2023
pubmed: 28 12 2023
entrez: 28 12 2023
Statut: epublish

Résumé

β-hemoglobinopathies such as β-thalassemia (BT) and Sickle cell disease (SCD) are inherited monogenic blood disorders with significant global burden. Hence, early and affordable diagnosis can alleviate morbidity and reduce mortality given the lack of effective cure. Currently, Sanger sequencing is considered to be the gold standard genetic test for BT and SCD, but it has a very low throughput requiring multiple amplicons and more sequencing reactions to cover the entire HBB gene. To address this, we have demonstrated an extraction-free single amplicon-based approach for screening the entire β-globin gene with clinical samples using Scalable noninvasive amplicon-based precision sequencing (SNAPseq) assay catalyzing with next-generation sequencing (NGS). We optimized the assay using noninvasive buccal swab samples and simple finger prick blood for direct amplification with crude lysates. SNAPseq demonstrates high sensitivity and specificity, having a 100% agreement with Sanger sequencing. Furthermore, to facilitate seamless reporting, we have created a much simpler automated pipeline with comprehensive resources for pathogenic mutations in BT and SCD through data integration after systematic classification of variants according to ACMG and AMP guidelines. To the best of our knowledge, this is the first report of the NGS-based high throughput SNAPseq approach for the detection of both BT and SCD in a single assay with high sensitivity in an automated pipeline.

Identifiants

pubmed: 38152111
doi: 10.3389/fmolb.2023.1244244
pii: 1244244
pmc: PMC10751313
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1244244

Informations de copyright

Copyright © 2023 Gupta, Arvinden, Thakur, Bhoyar, Saravanakumar, Gottumukkala, Goswami, Nafiz, Iyer, Vignesh, Soni, Bhargava, Gunda, Jain, Gupta, Sivasubbu, Scaria and Ramalingam.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Pragya Gupta (P)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

V R Arvinden (VR)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Priya Thakur (P)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Rahul C Bhoyar (RC)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.

Vinodh Saravanakumar (V)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.

Narendra Varma Gottumukkala (NV)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.

Sangam Giri Goswami (SG)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Mehwish Nafiz (M)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Aditya Ramdas Iyer (AR)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Harie Vignesh (H)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.

Rajat Soni (R)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.

Nupur Bhargava (N)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.

Padma Gunda (P)

Thalassemia and Sickle Cell Society, Hyderabad, India.

Suman Jain (S)

Thalassemia and Sickle Cell Society, Hyderabad, India.

Vivek Gupta (V)

Government Institute of Medical Sciences (GIMS), Greater Noida, India.

Sridhar Sivasubbu (S)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Vinod Scaria (V)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Sivaprakash Ramalingam (S)

CSIR- Institute for Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

Classifications MeSH