Evidence map›Paper›PMID 26765738›Full record

ArticlePloS one2016

A Method to Quantify Cell-Free Fetal DNA Fraction in Maternal Plasma Using Next Generation Sequencing: Its Application in Non-Invasive Prenatal Chromosomal Aneuploidy Detection.

Xu-Ping Xu, Hai-Yan Gan, Fen-Xia Li, Qi Tian, Jun Zhang, Rong-Liang Liang, Ming Li, Xue-Xi Yang, Ying-Song Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
11.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Xu-Ping XuInstitute of Antibody Engineering, School of Biotechnology, Southern Medical University, Guangzhou, China.
Hai-Yan GanGuangzhou Darui Biotechnology Co. LTD, Guangzhou, China.
Fen-Xia LiGuangzhou Darui Biotechnology Co. LTD, Guangzhou, China.
Qi TianThe Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Jun ZhangThe Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Rong-Liang LiangInstitute of Antibody Engineering, School of Biotechnology, Southern Medical University, Guangzhou, China.
Ming LiInstitute of Antibody Engineering, School of Biotechnology, Southern Medical University, Guangzhou, China.
Xue-Xi YangInstitute of Antibody Engineering, School of Biotechnology, Southern Medical University, Guangzhou, China.
Ying-Song WuInstitute of Antibody Engineering, School of Biotechnology, Southern Medical University, Guangzhou, China.
Southern Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe fraction of circulating cell-free fetal (cff) DNA in maternal plasma is a critical parameter for aneuploidy screening with non-invasive prenatal testing, especially for those samples located in equivocal zones. We developed an approach to quantify cff DNA fractions directly with sequencing data, and increased cff DNAs by optimizing library construction procedure.

methodsArtificial DNA mixture samples (360), with known cff DNA fractions, were used to develop a method to determine cff DNA fraction through calculating the proportion of Y chromosomal unique reads, with sequencing data generated by Ion Proton. To validate our method, we investigated cff DNA fractions of 2,063 pregnant women with fetuses who were diagnosed as high risk of fetal defects. The z-score was calculated to determine aneuploidies for chromosomes 21, 18 and 13. The relationships between z-score and parameters of pregnancies were also analyzed. To improve cff DNA fractions in our samples, two groups were established as follows: in group A, the large-size DNA fragments were removed, and in group B these were retained, during library construction.

resultsA method to determine cff DNA fractions was successfully developed using 360 artificial mixture samples in which cff DNA fractions were known. A strong positive correlation was found between z-score and fetal DNA fraction in the artificial mixture samples of trisomy 21, 18 and 13, as well as in clinical maternal plasma samples. There was a positive correlation between gestational age and the cff DNA fraction in the clinical samples, but no correlation for maternal age. Moreover, increased fetal DNA fractions were found in group A compared to group B.

conclusionA relatively accurate method was developed to determine the cff DNA fraction in maternal plasma. By optimizing, we can improve cff DNA fractions in sequencing samples, which may contribute to improvements in detection rate and reliability.

Indexed as

AneuploidyHigh-Throughput Nucleotide SequencingAdultChromosome DisordersFemaleFetusHumansMalePregnancyPrenatal DiagnosisYoung Adult

Identifiers

PMID26765738
PMCPMC4713075
OpenAlexW2235554510

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.