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A New Integrated Newborn Screening Workflow Can Provide a Shortcut to Differential Diagnosis and Confirmation of Inherited Metabolic Diseases

DC Field Value Language
dc.contributor.author이경아-
dc.contributor.author이순민-
dc.contributor.author채현욱-
dc.date.accessioned2018-08-28T17:24:39Z-
dc.date.available2018-08-28T17:24:39Z-
dc.date.issued2018-
dc.identifier.issn0513-5796-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/162572-
dc.description.abstractPURPOSE: We developed a new workflow design which included results from both biochemical and targeted gene sequencing analysis interpreted comprehensively. We then conducted a pilot study to evaluate the benefit of this new approach in newborn screening (NBS) and demonstrated the efficiency of this workflow in detecting causative genetic variants. MATERIALS AND METHODS: Ten patients in Group 1 were diagnosed clinically using biochemical assays only, and 10 newborns in Group 2 were diagnosed with suspected inherited metabolic disease (IMD) in NBS. We applied NewbornDiscovery (SD Genomics), an integrated workflow design that encompasses analyte-phenotype-gene, single nucleotide variant/small insertion and deletion/copy number variation analyses along with clinical interpretation of genetic variants related to each participant's condition. RESULTS: A molecular genetic diagnosis was established in 95% (19/20) of individuals. In Group 1, 13 and 7 of 20 alleles were classified as pathogenic and likely pathogenic, respectively. In Group 2, 11 and 6 of 17 alleles with identified causative variants were pathogenic and likely pathogenic, respectively. There were no variants of uncertain significance. For each individual, the NewbornDiscovery and biochemical analysis results reached 100% concordance, since the single newborn testing negative for causative genetic variant in Group 2 showed a benign clinical course. CONCLUSION: This integrated diagnostic workflow resulted in a high yield. This approach not only enabled early confirmation of specific IMD, but also detected conditions not included in the current NBS.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherYonsei University-
dc.relation.isPartOfYONSEI MEDICAL JOURNAL-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAlleles-
dc.subject.MESH*Computational Biology-
dc.subject.MESHDNA Copy Number Variations-
dc.subject.MESHDifferential *Diagnosis-
dc.subject.MESHDried Blood Spot Testing-
dc.subject.MESHFemale-
dc.subject.MESHGenetic Testing/*methods-
dc.subject.MESHGenomics-
dc.subject.MESHHigh-Throughput Nucleotide Sequencing-
dc.subject.MESHHumans-
dc.subject.MESHNewborn Infant-
dc.subject.MESHMale-
dc.subject.MESHMetabolic Diseases/*diagnosis/genetics-
dc.subject.MESH*Neonatal Screening-
dc.subject.MESHPilot Projects-
dc.subject.MESHDNA Sequence Analysis-
dc.subject.MESHWorkflow-
dc.titleA New Integrated Newborn Screening Workflow Can Provide a Shortcut to Differential Diagnosis and Confirmation of Inherited Metabolic Diseases-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Laboratory Medicine-
dc.contributor.googleauthorJung Min Ko-
dc.contributor.googleauthorKyung Sun Park-
dc.contributor.googleauthorYeeok Kang-
dc.contributor.googleauthorSeong Hyeuk Nam-
dc.contributor.googleauthorYoonjung Kim-
dc.contributor.googleauthorInho Park-
dc.contributor.googleauthorHyun Wook Chae-
dc.contributor.googleauthorSoon Min Lee-
dc.contributor.googleauthorKyung A Lee-
dc.contributor.googleauthorJong Won Kim-
dc.identifier.doi10.3349/ymj.2018.59.5.652-
dc.contributor.localIdA02647-
dc.contributor.localIdA02905-
dc.contributor.localIdA04026-
dc.relation.journalcodeJ02813-
dc.identifier.eissn1976-2437-
dc.identifier.pmid29869463-
dc.subject.keywordNewborn screening-
dc.subject.keyworddried blood spot-
dc.subject.keywordinherited metabolic disease-
dc.subject.keywordnext-generation sequencing-
dc.subject.keywordtargeted gene panel sequencing-
dc.contributor.alternativeNameLee, Kyung A-
dc.contributor.alternativeNameLee, Soon Min-
dc.contributor.alternativeNameChae, Hyun Wook-
dc.contributor.affiliatedAuthorLee, Kyung A-
dc.contributor.affiliatedAuthorLee, Soon Min-
dc.contributor.affiliatedAuthorChae, Hyun Wook-
dc.citation.volume59-
dc.citation.number5-
dc.citation.startPage652-
dc.citation.endPage661-
dc.identifier.bibliographicCitationYONSEI MEDICAL JOURNAL, Vol.59(5) : 652-661, 2018-
dc.identifier.rimsid60152-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers

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