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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Development of a comprehensive noninvasive prenatal test

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Autor(es):
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Malcher, Carolina [1] ; Yamamoto, Guilherme L. [1] ; Burnham, Philip [2] ; Ezquina, Suzana A. M. [1] ; Lourenco, V, Naila C. ; Balkassmi, Sahilla [3] ; Marco Antonio, David S. [4] ; Hsia, Gabriella S. P. [4] ; Gollop, Thomaz [5] ; Pavanello, Rita C. [4] ; Lopes, Marco Antonio [6] ; Bakker, Egbert [3] ; Zatz, Mayana [4] ; Bertola, Debora [4] ; De Vlaminck, Iwijn [2] ; Passos-Bueno, Maria Rita [4]
Número total de Autores: 16
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Biociencias, Ctr Pesquisa Genoma Humano & Celulas Tronco, Dept Genet & Biol Evolut, Rua Matao 277, BR-05508090 Sao Paulo, SP - Brazil
[2] Cornell Univ, Meinig Sch Biomed Engn, Ithaca, NY - USA
[3] Leiden Univ, Med Ctr, LDGA, Dept Clin Genet, Leiden - Netherlands
[4] Lourenco, Naila C., V, Univ Sao Paulo, Inst Biociencias, Ctr Pesquisa Genoma Humano & Celulas Tronco, Dept Genet & Biol Evolut, Rua Matao 277, BR-05508090 Sao Paulo, SP - Brazil
[5] Fac Med Jundiai, Jundiai, SP - Brazil
[6] Univ Sao Paulo, Fac Med, Dept Obstet & Ginecol, Sao Paulo, SP - Brazil
Número total de Afiliações: 6
Tipo de documento: Artigo Científico
Fonte: GENETICS AND MOLECULAR BIOLOGY; v. 41, n. 3, p. 545-554, JUL-SEP 2018.
Citações Web of Science: 1
Resumo

Our aim was to develop and apply a comprehensive noninvasive prenatal test (NIPT) by using high-coverage targeted next-generation sequencing to estimate fetal fraction, determine fetal sex, and detect trisomy and monogenic disease without parental genotype information. We analyzed 45 pregnancies, 40 mock samples, and eight mother-child pairs to generate 35 simulated datasets. Fetal fraction (FF) was estimated based on analysis of the single nucleotide polymorphism (SNP) allele fraction distribution. A Z-score was calculated for trisomy of chromosome 21 (T21), and fetal sex detection. Monogenic disease detection was performed through variant analysis. Model validation was performed using the simulated datasets. The novel model to estimate FF was robust and accurate (r(2)= 0.994, p-value < 2.2e-16). For samples with FF > 0.04, T21 detection had 100% sensitivity (95% CI: 63.06 to 100%) and 98.53% specificity (95% CI: 92.08 to 99.96%). Fetal sex was determined with 100% accuracy. We later performed a proof of concept for monogenic disease diagnosis of 5/7 skeletal dysplasia cases. In conclusion, it is feasible to perform a comprehensive NIPT by using only data from high coverage targeted sequencing, which, in addition to detecting trisomies, also make it possible to identify pathogenic variants of the candidate genes for monogenic diseases. (AU)

Processo FAPESP: 13/08028-1 - CEGH-CEL - Centro de Estudos do Genoma Humano e de Células-Tronco
Beneficiário:Mayana Zatz
Linha de fomento: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
Processo FAPESP: 13/14996-0 - Detecção de doenças genéticas fetais através de teste pré-natal não invasivo utilizando sequenciamento de nova geração
Beneficiário:Carolina Malcher Amorim de Carvalho Silva
Linha de fomento: Bolsas no Brasil - Doutorado
Processo FAPESP: 15/11998-8 - Análise de dados de Sequenciamento de DNA livre de célula para inferência da fração de DNA fetal no plasma materno
Beneficiário:Carolina Malcher Amorim de Carvalho Silva
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Doutorado