Evidence map›Paper›PMID 31416246›Full record

ArticleInternational journal of molecular sciences2019

Combination of Fetal Fraction Estimators Based on Fragment Lengths and Fragment Counts in Non-Invasive Prenatal Testing.

Juraj Gazdarica, Rastislav Hekel, Jaroslav Budis, Marcel Kucharik, Frantisek Duris, Jan Radvanszky, Jan Turna, Tomas Szemes

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Technical and Methodological Aspects of Cell-Free Nucleic Acids Analyzes.International journal of molecular sciences · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. Cell-Free Nucleic Acids.International journal of molecular sciences · 2019
    Article
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

8 authors.

Juraj GazdaricaGeneton Ltd., Bratislava 84104, Slovakia. juraj.gazdarica@geneton.sk.ORCID 0000-0002-9042-3589
Rastislav HekelGeneton Ltd., Bratislava 84104, Slovakia.
Jaroslav BudisGeneton Ltd., Bratislava 84104, Slovakia.ORCID 0000-0002-8667-6655
Marcel KucharikGeneton Ltd., Bratislava 84104, Slovakia.
Frantisek DurisDepartment of Computer Science, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava 84248, Slovakia.
Jan RadvanszkyGeneton Ltd., Bratislava 84104, Slovakia.ORCID 0000-0001-9657-1198
Jan TurnaDepartment of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava 84104, Slovakia.
Tomas SzemesGeneton Ltd., Bratislava 84104, Slovakia.

Funding

European Regional Development Fund ITMS 26240220067
6 · The paper itself

Abstract

The reliability of non-invasive prenatal testing is highly dependent on accurate estimation of fetal fraction. Several methods have been proposed up to date, utilizing different attributes of analyzed genomic material, for example length and genomic location of sequenced DNA fragments. These two sources of information are relatively unrelated, but so far, there have been no published attempts to combine them to get an improved predictor. We collected 2454 single euploid male fetus samples from women undergoing NIPT testing. Fetal fractions were calculated using several proposed predictors and the state-of-the-art SeqFF method. Predictions were compared with the reference Y-based method. We demonstrate that prediction based on length of sequenced DNA fragments may achieve nearly the same precision as the state-of-the-art methods based on their genomic locations. We also show that combination of several sample attributes leads to a predictor that has superior prediction accuracy over any single approach. Finally, appropriate weighting of samples in the training process may achieve higher accuracy for samples with low fetal fraction and so allow more reliability for subsequent testing for genomic aberrations. We propose several improvements in fetal fraction estimation with a special focus on the samples most prone to wrong conclusion.

Indexed as

DNA FragmentationFetusGenetic TestingAdultBase CompositionFemaleFetal DevelopmentHigh-Throughput Nucleotide SequencingHumansPregnancyPrenatal DiagnosisPrognosisReproducibility of ResultsDNAfetal cellsfetal fractionmaternal serum screeningNIPTstatistical methods

Identifiers

PMID31416246
PMCPMC6719007

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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.