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Noninvasive Prenatal Testing: Comparison of Two Mappers and Influence in the Diagnostic Yield.
Gómez-Manjón, Irene; Moreno-Izquierdo, Ana; Mayo, Sonia; Moreno-García, Marta; Delmiro, Aitor; Escribano, David; Fernández-Martínez, F Javier.
Afiliação
  • Gómez-Manjón I; Genetics and Inheritance Research Group, Instituto de Investigación Hospital Universitario 12 de Octubre (i+12), Avda. de Córdoba s/n, Madrid 28041, Spain.
  • Moreno-Izquierdo A; Genetics and Inheritance Research Group, Instituto de Investigación Hospital Universitario 12 de Octubre (i+12), Avda. de Córdoba s/n, Madrid 28041, Spain.
  • Mayo S; Division of Prenatal Diagnosis, Department of Genetics, Hospital Universitario 12 de Octubre, Avda. de Córdoba s/n, Madrid 28041, Spain.
  • Moreno-García M; Genetics and Inheritance Research Group, Instituto de Investigación Hospital Universitario 12 de Octubre (i+12), Avda. de Córdoba s/n, Madrid 28041, Spain.
  • Delmiro A; Genetics and Inheritance Research Group, Instituto de Investigación Hospital Universitario 12 de Octubre (i+12), Avda. de Córdoba s/n, Madrid 28041, Spain.
  • Escribano D; Division of Prenatal Diagnosis, Department of Genetics, Hospital Universitario 12 de Octubre, Avda. de Córdoba s/n, Madrid 28041, Spain.
  • Fernández-Martínez FJ; Department of Biochemistry, Hospital Universitario 12 de Octubre, Avda. de Córdoba s/n, Madrid 28041, Spain.
Biomed Res Int ; 2018: 9498140, 2018.
Article em En | MEDLINE | ID: mdl-29977923
OBJECTIVE: The aim of this study was to determine if the use of different mappers for NIPT may vary the results considerably. METHODS: Peripheral blood was collected from 217 pregnant women, 58 pathological (34 pregnancies with trisomy 21, 18 with trisomy 18, and 6 with trisomy 13) and 159 euploid. MPS was performed following a manufacturer's modified protocol of semiconductor sequencing. Obtained reads were mapped with two different software programs: TMAP and HPG-Aligner, comparing the results. RESULTS: Using TMAP, 57 pathological samples were correctly detected (sensitivity 98.28%, specificity 93.08%): 33 samples as trisomy 21 (sensitivity 97.06%, specificity 99.45%), 16 as trisomy 18 (sensibility 88.89%, specificity 93.97%), and 6 as trisomy 13 (sensibility 100%, specificity 100%). 11 false positives, 1 false negative, and 2 samples incorrectly identified were obtained. Using HPG-Aligner, all the 58 pathological samples were correctly identified (sensibility 100%, specificity 96.86%): 34 as trisomy 21 (sensibility 100%, specificity 98.91%), 18 as trisomy 18 (sensibility 100%, specificity 98.99%), and 6 as trisomy 13 (sensibility 100%, specificity 99.53%). 5 false positives were obtained. CONCLUSION: Different mappers use slightly different algorithms, so the use of one mapper or another with the same batch file can provide different results.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico Pré-Natal / Trissomia / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Female / Humans / Pregnancy Idioma: En Revista: Biomed Res Int Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico Pré-Natal / Trissomia / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Female / Humans / Pregnancy Idioma: En Revista: Biomed Res Int Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Espanha