Evidence map›Paper›PMID 31591409›Full record

ArticleScientific reports2019

A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT.

David S Tsao, Sukrit Silas, Brian P Landry, Nelda P Itzep, Amy B Nguyen, Samuel Greenberg, Celeste K Kanne, Vivien A Sheehan, Rani Sharma, Rahul Shukla and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Non-invasive prenatal diagnosis (NIPD): current and emerging technologies.Extracellular vesicles and circulating nucleic acids · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

12 authors.

David S TsaoBillionToOne Inc., Menlo Park, CA, 94025, USA. david@billiontoone.com.
Sukrit SilasDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA.
Brian P LandryBillionToOne Inc., Menlo Park, CA, 94025, USA.
Nelda P ItzepDepartment of Pediatrics, Division of Hematology/Oncology, Baylor College of Medicine, Houston, TX, 77030, United States.
Amy B NguyenBillionToOne Inc., Menlo Park, CA, 94025, USA.
Samuel GreenbergBillionToOne Inc., Menlo Park, CA, 94025, USA.
Celeste K KanneDepartment of Pediatrics, Division of Hematology/Oncology, Baylor College of Medicine, Houston, TX, 77030, United States.
Vivien A SheehanDepartment of Pediatrics, Division of Hematology/Oncology, Baylor College of Medicine, Houston, TX, 77030, United States.
Rani SharmaSeqIndia Labs Pvt. Ltd., New Delhi, India.
Rahul ShuklaYashoda Super Speciality Hospitals, H-1 Kaushambi, Ghaziabad, Uttar Pradesh, 201001, India.
Prem N AroraYashoda Super Speciality Hospitals, H-1 Kaushambi, Ghaziabad, Uttar Pradesh, 201001, India.
Oguzhan AtayBillionToOne Inc., Menlo Park, CA, 94025, USA.

Funding

Hematology Training ProgramT32DK060445 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI GOODELL, MARGARET A. · 2002 to 2023
$8.3M
Non-invasive prenatal testing of sickle cell diseaseR43HL144322 · NHLBI · BILLIONTOONE, INC. · PI TSAO, DAVID · 2018 to 2018
$224k
NHLBI NIH HHS R43 HL144322NIDDK NIH HHS T32 DK060445U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) T32DK060445
6 · The paper itself

Abstract

Next-generation DNA sequencing is currently limited by an inability to accurately count the number of input DNA molecules. Molecular counting is particularly needed when accurate quantification is required for diagnostic purposes, such as in single gene non-invasive prenatal testing (sgNIPT) and liquid biopsy. We developed Quantitative Counting Template (QCT) molecular counting to reconstruct the number of input DNA molecules using sequencing data. We then used QCT molecular counting to develop sgNIPTs of sickle cell disease, cystic fibrosis, spinal muscular atrophy, alpha-thalassemia, and beta-thalassemia. The analytical sensitivity and specificity of sgNIPT was >98% and >99%, respectively. Validation of sgNIPTs was further performed with maternal blood samples collected during pregnancy, and sgNIPTs were 100% concordant with newborn follow-up.

Indexed as

Base PairingAnemia, Sickle CellBase SequenceDNAHigh-Throughput Nucleotide SequencingHumansLimit of DetectionNoninvasive Prenatal TestingSequence Analysis, DNADNA

Identifiers

PMID31591409
PMCPMC6779891

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.