TY - JOUR
T1 - Rapid Low-Cost Microarray-Based Genotyping for Genetic Screening in Primary Immunodeficiency
AU - The South East Asia Primary Immunodeficiencies (SEAPID) Consortium
AU - Suratannon, Narissara
AU - van Wijck, Rogier T.A.
AU - Broer, Linda
AU - Xue, Laixi
AU - van Meurs, Joyce B.J.
AU - Barendregt, Barbara H.
AU - van der Burg, Mirjam
AU - Dik, Willem A.
AU - Chatchatee, Pantipa
AU - Langerak, Anton W.
AU - Swagemakers, Sigrid M.A.
AU - Goos, Jacqueline A.C.
AU - Mathijssen, Irene M.J.
AU - Dalm, Virgil A.S.H.
AU - Suphapeetiporn, Kanya
AU - Heezen, Kim C.
AU - Drabwell, Jose
AU - Uitterlinden, André G.
AU - van der Spek, Peter J.
AU - van Hagen, P. Martin
N1 - Publisher Copyright:
© Copyright © 2020 Suratannon, van Wijck, Broer, Xue, van Meurs, Barendregt, van der Burg, Dik, Chatchatee, Langerak, Swagemakers, Goos, Mathijssen, Dalm, Suphapeetiporn, Heezen, Drabwell, Uitterlinden, van der Spek, van Hagen and the South East Asia Primary Immunodeficiencies (SEAPID) Consortium.
PY - 2020/4/15
Y1 - 2020/4/15
N2 - Background: Genetic tests for primary immunodeficiency disorders (PIDs) are expensive, time-consuming, and not easily accessible in developing countries. Therefore, we studied the feasibility of a customized single nucleotide variant (SNV) microarray that we developed to detect disease-causing variants and copy number variation (CNV) in patients with PIDs for only 40 Euros. Methods: Probes were custom-designed to genotype 9,415 variants of 277 PID-related genes, and were added to the genome-wide Illumina Global Screening Array (GSA). Data analysis of GSA was performed using Illumina GenomeStudio 2.0, Biodiscovery Nexus 10.0, and R-3.4.4 software. Validation of genotype calling was performed by comparing the GSA with whole-genome sequencing (WGS) data of 56 non-PID controls. DNA samples of 95 clinically diagnosed PID patients, of which 60 patients (63%) had a genetically established diagnosis (by Next-Generation Sequencing (NGS) PID panels or Sanger sequencing), were analyzed to test the performance of the GSA. The additional SNVs detected by GSA were validated by Sanger sequencing. Results: Genotype calling of the customized array had an accuracy rate of 99.7%. The sensitivity for detecting rare PID variants was high (87%). The single sample replication in two runs was high (94.9%). The customized GSA was able to generate a genetic diagnosis in 37 out of 95 patients (39%). These 37 patients included 29 patients in whom the genetic variants were confirmed by conventional methods (26 patients by SNV and 3 by CNV analysis), while in 8 patients a new genetic diagnosis was established (6 patients by SNV and 2 patients suspected for leukemia by CNV analysis). Twenty-eight patients could not be detected due to the limited coverage of the custom probes. However, the diagnostic yield can potentially be increased when newly updated variants are added. Conclusion: Our robust customized GSA seems to be a promising first-line rapid screening tool for PIDs at an affordable price, which opens opportunities for low-cost genetic testing in developing countries. The technique is scalable, allows numerous new genetic variants to be added, and offers the potential for genetic testing not only in PIDs, but also in many other genetic diseases.
AB - Background: Genetic tests for primary immunodeficiency disorders (PIDs) are expensive, time-consuming, and not easily accessible in developing countries. Therefore, we studied the feasibility of a customized single nucleotide variant (SNV) microarray that we developed to detect disease-causing variants and copy number variation (CNV) in patients with PIDs for only 40 Euros. Methods: Probes were custom-designed to genotype 9,415 variants of 277 PID-related genes, and were added to the genome-wide Illumina Global Screening Array (GSA). Data analysis of GSA was performed using Illumina GenomeStudio 2.0, Biodiscovery Nexus 10.0, and R-3.4.4 software. Validation of genotype calling was performed by comparing the GSA with whole-genome sequencing (WGS) data of 56 non-PID controls. DNA samples of 95 clinically diagnosed PID patients, of which 60 patients (63%) had a genetically established diagnosis (by Next-Generation Sequencing (NGS) PID panels or Sanger sequencing), were analyzed to test the performance of the GSA. The additional SNVs detected by GSA were validated by Sanger sequencing. Results: Genotype calling of the customized array had an accuracy rate of 99.7%. The sensitivity for detecting rare PID variants was high (87%). The single sample replication in two runs was high (94.9%). The customized GSA was able to generate a genetic diagnosis in 37 out of 95 patients (39%). These 37 patients included 29 patients in whom the genetic variants were confirmed by conventional methods (26 patients by SNV and 3 by CNV analysis), while in 8 patients a new genetic diagnosis was established (6 patients by SNV and 2 patients suspected for leukemia by CNV analysis). Twenty-eight patients could not be detected due to the limited coverage of the custom probes. However, the diagnostic yield can potentially be increased when newly updated variants are added. Conclusion: Our robust customized GSA seems to be a promising first-line rapid screening tool for PIDs at an affordable price, which opens opportunities for low-cost genetic testing in developing countries. The technique is scalable, allows numerous new genetic variants to be added, and offers the potential for genetic testing not only in PIDs, but also in many other genetic diseases.
KW - copy number variants (CNV) calling
KW - microarray-based genotyping
KW - primary immunodeficiencies
KW - single nucleotide variants (SNV) calling
KW - SNP microarray
UR - http://www.scopus.com/inward/record.url?scp=85083988634&partnerID=8YFLogxK
U2 - 10.3389/fimmu.2020.00614
DO - 10.3389/fimmu.2020.00614
M3 - Article
C2 - 32373116
AN - SCOPUS:85083988634
SN - 1664-3224
VL - 11
JO - Frontiers in Immunology
JF - Frontiers in Immunology
M1 - 614
ER -