Evidence map›Paper›PMID 33097049›Full record

ArticleBMC medical genomics2020

Noninvasive prenatal paternity determination using microhaplotypes: a pilot study.

Jaqueline Yu Ting Wang, Martin R Whittle, Renato David Puga, Anatoly Yambartsev, André Fujita, Helder I Nakaya

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Noninvasive Prenatal Paternity Testing: A Review on Genetic Markers.International journal of molecular sciences · 2025
    Review
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

6 authors at 3 institutions in 1 country.

Jaqueline Yu Ting WangDepartment of Clinical Toxicological Analyzes, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
Martin R WhittleGenomic Engenharia Molecular Ltda, São Paulo, Brazil.
Renato David PugaHospital Israelita Albert Einstein, São Paulo, Brazil.
Anatoly YambartsevStatistics Department, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
André FujitaDepartment of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Helder I NakayaDepartment of Clinical Toxicological Analyzes, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil. hnakaya@usp.br.ORCID 0000-0001-5297-9108
Universidade de São Paulo · BRGenomic (Brazil) · BRHospital Israelita Albert Einstein · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2012/19278-6Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/21934-5
6 · The paper itself

Abstract

backgroundThe use of noninvasive techniques to determine paternity prenatally is increasing because it reduces the risks associated with invasive procedures. Current methods, based on SNPs, use the analysis of at least 148 markers, on average.

methodsTo reduce the number of regions, we used microhaplotypes, which are chromosomal segments smaller than 200 bp containing two or more SNPs. Our method employs massively parallel sequencing and analysis of microhaplotypes as genetic markers. We tested 20 microhaplotypes and ascertained that 19 obey Hardy-Weinberg equilibrium and are independent, and data from the 1000 Genomes Project were used for population frequency and simulations.

resultsWe performed simulations of true and false paternity, using the 1000 Genomes Project data, to confirm if the microhaplotypes could be used as genetic markers. We observed that at least 13 microhaplotypes should be used to decrease the chances of false positives. Then, we applied the method in 31 trios, and it was able to correctly assign the fatherhood in cases where the alleged father was the real father, excluding the inconclusive results. We also cross evaluated the mother-plasma duos with the alleged fathers for false inclusions within our data, and we observed that the use of at least 15 microhaplotypes in real data also decreases the false inclusions.

conclusionsIn this work, we demonstrated that microhaplotypes can be used to determine prenatal paternity by using only 15 regions and with admixtures of DNA.

Indexed as

Genetic MarkersHaplotypesPaternityPolymorphism, Single NucleotideDNAFemaleGenetic TestingHigh-Throughput Nucleotide SequencingHumansMaleNoninvasive Prenatal TestingPilot ProjectsPregnancyDNAGenetic MarkersMicrohaplotypeNoninvasivePrenatalProbability of paternitySingle nucleotide polymorphism

Identifiers

PMID33097049
PMCPMC7584091
OpenAlexW3094080955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.