ArticleAmerican journal of translational research2019
Experimental factors are associated with fetal fraction in size selection noninvasive prenatal testing.
Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Fetal Y chromosome abnormalities cause false-low fetal fraction in NIPT: a retrospective analysis of 24,101 pregnant women.Frontiers in genetics · 2026Article
- High platelet distribution width affects the detection of fetal fraction of cell-free DNA detected by non-invasive prenatal testing.American journal of translational research · 2025Article
- A fetal fraction enrichment method reduces false negatives and increases test success rate of fetal chromosome aneuploidy detection in early pregnancy loss.Journal of translational medicine · 2022Article
- Factors Affecting the Fetal Fraction in Noninvasive Prenatal Screening: A Review.Frontiers in pediatrics · 2022Review
- Abnormal Circulating Maternal miRNA Expression Is Associated with a Low (<4%) Cell-Free DNA Fetal Fraction.Diagnostics (Basel, Switzerland) · 2021Article
- A multivariate modeling method for the prediction of low fetal fraction before noninvasive prenatal testing.Science progress · 2021Article
- Lipid Metabolism Affects Fetal Fraction and Screen Failures in Non-invasive Prenatal Testing.Frontiers in medicine · 2021Article
- Follow-up in Patients With Non-invasive Prenatal Screening Failures: A Reflection on the Choice of Further Prenatal Diagnosis.Frontiers in genetics · 2021Article
- Next-generation sequencing: a follow-up of 36,913 singleton pregnancies with noninvasive prenatal testing in central China.Journal of assisted reproduction and genetics · 2020Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Every year, 4-6 million pregnant women undergo noninvasive prenatal testing (NIPT), which is used worldwide for fetal aneuploidy screening. Adequate fetal cell-free DNA (cfDNA) is the critically important factor to ensure high sensitivity and specificity. In this study, we sought to increase the fetal fraction by adjusting experimental factors in the size selection for NIPT. CfDNA was extracted from 1495 pregnant women at 12-26 weeks of gestation for sequencing of shorter cfDNA NIPT (< 140 bp). Multivariable linear regression models were used to evaluate the association between experimental factors and fetal fraction. Nomograms for the likelihood of high fetal fraction (> 20%) were constructed according to significant factors in multivariable regression models. Our results suggested that cfDNA and library concentrations were negatively correlated with fetal fraction, and uniquely mapped reads were positively correlated with fetal fraction. Lower cfDNA and library concentrations, shorter cfDNA fragments, and higher uniquely mapped reads may be more conducive to obtaining higher fetal fractions. Furthermore, we constructed easy-to-use nomograms incorporating the maternal, fetal characteristics and experimental factors to precisely predict the probability of high fetal fraction with an area under the curve (AUC) of 0.773 (95% confidence interval: 0.749-0.797). Collectively, our maternal plasma cfDNA-based nomograms consider experimental factors that can be adjusted and may improve a laboratory's ability to obtain higher fetal cfDNA concentrations.
Indexed as
Identifiers
31737189PMC6834515W3005195058What OpenQuestion holds
Registered trials
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.