Evidence map›Paper›PMID 26847993›Full record

ArticleThe Journal of molecular diagnostics : JMD2016

Next-Generation Molecular Testing of Newborn Dried Blood Spots for Cystic Fibrosis.

Martina I Lefterova, Peidong Shen, Justin I Odegaard, Eula Fung, Tsoyu Chiang, Gang Peng, Ronald W Davis, Wenyi Wang, Martin Kharrazi, Iris Schrijver and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  7. Review
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  9. Article
  10. The Role of ExtendedInternational journal of neonatal screening · 2020
    Review
  11. Article
  12. Article
  13. Combining newborn metabolic and DNA analysis for second-tier testing of methylmalonic acidemia.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Cystic fibrosis newborn screening programs: implications of the CFTR variant spectrum in nonwhite patients.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Martina I LefterovaDepartment of Pathology, Stanford University Medical Center, Stanford, California.
Peidong ShenStanford Genome Technology Center, Stanford University, Palo Alto, California.
Justin I OdegaardDepartment of Pathology, Stanford University Medical Center, Stanford, California.
Eula FungDepartment of Pathology, Stanford University Medical Center, Stanford, California.
Tsoyu ChiangDepartment of Pathology, Stanford University Medical Center, Stanford, California.
Gang PengDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ronald W DavisStanford Genome Technology Center, Stanford University, Palo Alto, California.
Wenyi WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Martin KharraziCalifornia Department of Public Health, Environmental Health Investigations Branch, Richmond, California.
Iris SchrijverDepartment of Pathology, Stanford University Medical Center, Stanford, California; Department of Pediatrics, Stanford University Medical Center, Stanford, California.
Curt ScharfeDepartment of Pathology, Stanford University Medical Center, Stanford, California; Stanford Genome Technology Center, Stanford University, Palo Alto, California. Electronic address: curt.scharfe@yale.edu.
Stanford Medicine · USStanford University · USThe University of Texas MD Anderson Cancer Center · USCalifornia Department of Public Health · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Training Program in Biostatistics for Cancer ResearchT32CA096520 · NCI · RICE UNIVERSITY · PI KIMMEL, MAREK, YUAN, YING · 2003 to 2023
$4.5M
Statistical methods for genomic analysis of heterogeneous tumorsR01CA183793 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WANG, WENYI · 2014 to 2018
$1.7M
Bioinformatics Tools for Genomic Analysis of Tumor and Stromal Pathways in CancerR01CA174206 · NCI · DANA-FARBER CANCER INST · PI PARMIGIANI, GIOVANNI LUIGI · 2013 to 2017
$1.7M
Technology development for rapid detection and diagnosis of metabolic disordersR01HD081355 · NICHD · YALE UNIVERSITY · PI SCHARFE, CURT · 2014 to 2016
$866k
NCI NIH HHS P30 CA016672NCI NIH HHS P30CA016672NCI NIH HHS R01 CA174206NCI NIH HHS R01 CA183793NCI NIH HHS T32 CA096520NHGRI NIH HHS P01 HG000205NICHD NIH HHS R01 HD081355NICHD NIH HHS R01HD081355
6 · The paper itself

Abstract

Newborn screening for cystic fibrosis enables early detection and management of this debilitating genetic disease. Implementing comprehensive CFTR analysis using Sanger sequencing as a component of confirmatory testing of all screen-positive newborns has remained impractical due to relatively lengthy turnaround times and high cost. Here, we describe CFseq, a highly sensitive, specific, rapid (<3 days), and cost-effective assay for comprehensive CFTR gene analysis from dried blood spots, the common newborn screening specimen. The unique design of CFseq integrates optimized dried blood spot sample processing, a novel multiplex amplification method from as little as 1 ng of genomic DNA, and multiplex next-generation sequencing of 96 samples in a single run to detect all relevant CFTR mutation types. Sequence data analysis utilizes publicly available software supplemented by an expert-curated compendium of >2000 CFTR variants. Validation studies across 190 dried blood spots demonstrated 100% sensitivity and a positive predictive value of 100% for single-nucleotide variants and insertions and deletions and complete concordance across the polymorphic poly-TG and consecutive poly-T tracts. Additionally, we accurately detected both a known exon 2,3 deletion and a previously undetected exon 22,23 deletion. CFseq is thus able to replace all existing CFTR molecular assays with a single robust, definitive assay at significant cost and time savings and could be adapted to high-throughput screening of other inherited conditions.

Indexed as

Costs and Cost AnalysisCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDNA Copy Number VariationsDNA PrimersDried Blood Spot TestingGenetic TestingHigh-Throughput Nucleotide SequencingHumansInfant, NewbornMultiplex Polymerase Chain ReactionNeonatal ScreeningQuality ControlReproducibility of ResultsSensitivity and SpecificityCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorDNA Primers

Identifiers

PMID26847993
PMCPMC4816703
OpenAlexW2254810489

What OpenQuestion holds

Textmetadata
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.