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KMID : 1100720160360060561
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Annals of Laboratory Medicine
2016 Volume.36 No. 6 p.561 ~ p.572
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A Population-Based Genomic Study of Inherited Metabolic Disaeases Detected Through Newborn Screening
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Park Kyoung-Jin
Park Seung-Man
Lee Eun-Hee
Park Jong-Ho
Park June-Hee
Park Hyung-Doo
Lee Soo-Youn
Kim Jong-Won
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Abstract
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Background: A newborn screening (NBS) program has been utilized to detect asymptomatic newborns with inherited metabolic diseases (IMDs). There have been some bottlenecks such as false-positives and imprecision in the current NBS tests. To overcome these issues, we developed a multigene panel for IMD testing and investigated the utility of our integrated screening model in a routine NBS environment. We also evaluated the genetic epidemiologic characteristics of IMDs in a Korean population.
Methods: In total, 269 dried blood spots with positive results from current NBS tests were collected from 120,700 consecutive newborns. We screened 97 genes related to NBS in Korea and detected IMDs, using an integrated screening model based on biochemical tests and next-generation sequencing (NGS) called NewbornSeq. Haplotype analysis was conducted to detect founder effects.
Results: The overall positive rate of IMDs was 20%. We identified 10 additional newborns with preventable IMDs that would not have been detected prior to the implementation of our NGS-based platform NewbornSeq. The incidence of IMDs was approximately 1 in 2,235 births. Haplotype analysis demonstrated founder effects in p.Y138X in DUOXA2, p.R885Q in DUOX2, p.Y439C in PCCB, p.R285Pfs*2 in SLC25A13, and p.R224Q in GALT.
Conclusions: Through a population-based study in the NBS environment, we highlight the screening and epidemiological implications of NGS. The integrated screening model will effectively contribute to public health by enabling faster and more accurate IMD detection through NBS. This study suggested founder mutations as an explanation for recurrent IMD-causing mutations in the Korean population.
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KEYWORD
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Epidemiology, Founder mutation, Incidence, Inherited metabolic disease, Newborn screening, Next-generation sequencing
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