Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing: a pilot study

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing : a pilot study. / Jiang, Haojun; Xie, Yifan; Li, Xuchao; Ge, Huijuan; Deng, Yongqiang; Mu, Haofang; Feng, Xiaoli; Yin, Lu; Du, Zhou; Chen, Fang; He, Nongyue.

In: P L o S One, Vol. 11, No. 9, e0159385, 15.09.2016.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Jiang, H, Xie, Y, Li, X, Ge, H, Deng, Y, Mu, H, Feng, X, Yin, L, Du, Z, Chen, F & He, N 2016, 'Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing: a pilot study', P L o S One, vol. 11, no. 9, e0159385. https://doi.org/10.1371/journal.pone.0159385

APA

Jiang, H., Xie, Y., Li, X., Ge, H., Deng, Y., Mu, H., Feng, X., Yin, L., Du, Z., Chen, F., & He, N. (2016). Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing: a pilot study. P L o S One, 11(9), [e0159385]. https://doi.org/10.1371/journal.pone.0159385

Vancouver

Jiang H, Xie Y, Li X, Ge H, Deng Y, Mu H et al. Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing: a pilot study. P L o S One. 2016 Sep 15;11(9). e0159385. https://doi.org/10.1371/journal.pone.0159385

Author

Jiang, Haojun ; Xie, Yifan ; Li, Xuchao ; Ge, Huijuan ; Deng, Yongqiang ; Mu, Haofang ; Feng, Xiaoli ; Yin, Lu ; Du, Zhou ; Chen, Fang ; He, Nongyue. / Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing : a pilot study. In: P L o S One. 2016 ; Vol. 11, No. 9.

Bibtex

@article{a46f35832e6d4d40b3fa8c14b770e32d,
title = "Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing: a pilot study",
abstract = "Short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs) have been already used to perform noninvasive prenatal paternity testing from maternal plasma DNA. The frequently used technologies were PCR followed by capillary electrophoresis and SNP typing array, respectively. Here, we developed a noninvasive prenatal paternity testing (NIPAT) based on SNP typing with maternal plasma DNA sequencing. We evaluated the influence factors (minor allele frequency (MAF), the number of total SNP, fetal fraction and effective sequencing depth) and designed three different selective SNP panels in order to verify the performance in clinical cases. Combining targeted deep sequencing of selective SNP and informative bioinformatics pipeline, we calculated the combined paternity index (CPI) of 17 cases to determine paternity. Sequencing-based NIPAT results fully agreed with invasive prenatal paternity test using STR multiplex system. Our study here proved that the maternal plasma DNA sequencing-based technology is feasible and accurate in determining paternity, which may provide an alternative in forensic application in the future.",
author = "Haojun Jiang and Yifan Xie and Xuchao Li and Huijuan Ge and Yongqiang Deng and Haofang Mu and Xiaoli Feng and Lu Yin and Zhou Du and Fang Chen and Nongyue He",
year = "2016",
month = sep,
day = "15",
doi = "10.1371/journal.pone.0159385",
language = "English",
volume = "11",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "9",

}

RIS

TY - JOUR

T1 - Noninvasive prenatal paternity testing (NIPAT) through maternal plasma DNA sequencing

T2 - a pilot study

AU - Jiang, Haojun

AU - Xie, Yifan

AU - Li, Xuchao

AU - Ge, Huijuan

AU - Deng, Yongqiang

AU - Mu, Haofang

AU - Feng, Xiaoli

AU - Yin, Lu

AU - Du, Zhou

AU - Chen, Fang

AU - He, Nongyue

PY - 2016/9/15

Y1 - 2016/9/15

N2 - Short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs) have been already used to perform noninvasive prenatal paternity testing from maternal plasma DNA. The frequently used technologies were PCR followed by capillary electrophoresis and SNP typing array, respectively. Here, we developed a noninvasive prenatal paternity testing (NIPAT) based on SNP typing with maternal plasma DNA sequencing. We evaluated the influence factors (minor allele frequency (MAF), the number of total SNP, fetal fraction and effective sequencing depth) and designed three different selective SNP panels in order to verify the performance in clinical cases. Combining targeted deep sequencing of selective SNP and informative bioinformatics pipeline, we calculated the combined paternity index (CPI) of 17 cases to determine paternity. Sequencing-based NIPAT results fully agreed with invasive prenatal paternity test using STR multiplex system. Our study here proved that the maternal plasma DNA sequencing-based technology is feasible and accurate in determining paternity, which may provide an alternative in forensic application in the future.

AB - Short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs) have been already used to perform noninvasive prenatal paternity testing from maternal plasma DNA. The frequently used technologies were PCR followed by capillary electrophoresis and SNP typing array, respectively. Here, we developed a noninvasive prenatal paternity testing (NIPAT) based on SNP typing with maternal plasma DNA sequencing. We evaluated the influence factors (minor allele frequency (MAF), the number of total SNP, fetal fraction and effective sequencing depth) and designed three different selective SNP panels in order to verify the performance in clinical cases. Combining targeted deep sequencing of selective SNP and informative bioinformatics pipeline, we calculated the combined paternity index (CPI) of 17 cases to determine paternity. Sequencing-based NIPAT results fully agreed with invasive prenatal paternity test using STR multiplex system. Our study here proved that the maternal plasma DNA sequencing-based technology is feasible and accurate in determining paternity, which may provide an alternative in forensic application in the future.

U2 - 10.1371/journal.pone.0159385

DO - 10.1371/journal.pone.0159385

M3 - Journal article

C2 - 27631491

VL - 11

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 9

M1 - e0159385

ER -

ID: 169108251