Evidence map›Paper›PMID 33857205›Full record

ArticlePloS one2021

Use of amplicon-based sequencing for testing fetal identity and monogenic traits with Single Circulating Trophoblast (SCT) as one form of cell-based NIPT.

Xinming Zhuo, Qun Wang, Liesbeth Vossaert, Roseen Salman, Adriel Kim, Ignatia Van den Veyver, Amy Breman, Arthur Beaudet

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Genetics in prenatal diagnosis.Singapore medical journal · 2023
    Review
  5. Article
  6. 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

8 authors at 3 institutions in 1 country.

Xinming ZhuoDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States of America.ORCID 0000-0002-1952-7131
Qun WangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States of America.
Liesbeth VossaertDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States of America.
Roseen SalmanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States of America.
Adriel KimGraduate Program in Diagnostic Genetics, MD Anderson Cancer Center, Houston, TX, United States of America.
Ignatia Van den VeyverDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States of America.ORCID 0000-0002-0651-5924
Amy BremanDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States of America.
Arthur BeaudetDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States of America.
Baylor College of Medicine · USIndiana University School of MedicineThe University of Texas MD Anderson Cancer Center · US

Funding

Prenatal Genetic Diagnosis by Genomic Sequencing: A Prospective EvaluationR01HD055651 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, Vaidehi Jobanputra · 2007 to 2026
$16.5M
PRENATAL CYTOGENETIC DIAGNOSIS BY ARRAY-BASED COPY NUMBER ANALYSES: Follow-upU01HD055651 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAPNER, RONALD · 2012 to 2016
$6.6M
NICHD NIH HHS R01 HD055651NICHD NIH HHS U01 HD055651
6 · The paper itself

Abstract

A major challenge for cell-based non-invasive prenatal testing (NIPT) is to distinguish individual presumptive fetal cells from maternal cells in female pregnancies. We have sought a rapid, robust, versatile, and low-cost next-generation sequencing method to facilitate this process. Toward this goal, single isolated cells underwent whole genome amplification prior to genotyping. Multiple highly polymorphic genomic regions (including HLA-A and HLA-B) with 10-20 very informative single nucleotide polymorphisms (SNPs) within a 200 bp interval were amplified with a modified method based on other publications. To enhance the power of cell identification, approximately 40 Human Identification SNP (Applied Biosystems) test amplicons were also utilized. Using SNP results to compare to sex chromosome data from NGS as a reliable standard, the true positive rate for genotyping was 83.4%, true negative 6.6%, false positive 3.3%, and false negative 6.6%. These results would not be sufficient for clinical diagnosis, but they demonstrate the general validity of the approach and suggest that deeper genotyping of single cells could be completely reliable. A paternal DNA sample is not required using this method. The assay also successfully detected pathogenic variants causing Tay Sachs disease, cystic fibrosis, and hemoglobinopathies in single lymphoblastoid cells, and disease-causing variants in three cell-based NIPT cases. This method could be applicable for any monogenic diagnosis.

Indexed as

DNAFemaleFetusGenetic Diseases, InbornGenetic TestingHigh-Throughput Nucleotide SequencingHumansNoninvasive Prenatal TestingPregnancySingle-Cell AnalysisTrophoblastsDNA

Identifiers

PMID33857205
PMCPMC8049273
OpenAlexW3154259851

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.