Evidence map›Paper›PMID 21677196›Full record

ArticleScience translational medicine2011

Deep sequencing of patient genomes for disease diagnosis: when will it become routine?

Stephen F Kingsmore, Carol J Saunders

Abstract read
In one paragraph

Article in Science translational medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Public knowledge of and attitudes toward genetics and genetic testing.Genetic testing and molecular biomarkers · 2013
    Trial
  2. Review
  3. Article
  4. The Role of Genome Sequencing in Neonatal Intensive Care Units.Annual review of genomics and human genetics · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. The value of diagnostic testing for parents of children with rare genetic diseases.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  9. [Exome diagnostics in neurology].Der Nervenarzt · 2019
    Review
  10. Frontiers in genetics · 2019
    Review
  11. Review
  12. Article
  13. Article
  14. Cost analysis of whole genome sequencing in German clinical practice.The European journal of health economics : HEPAC : health economics in prevention and care · 2017
    Article
  15. Review
  16. Article
  17. Article
  18. Next-generation sequencing for diagnosis of rare diseases in the neonatal intensive care unit.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2016
    Article
  19. Article
  20. 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

2 authors.

Stephen F KingsmoreNational Center for Genome Resources, Santa Fe, NM 87505, USA. sfkingsmore@cmh.edu
Carol J Saunders

Funding

ConProject-001U19HD077693 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI KINGSMORE, STEPHEN FRANCIS · 2013 to 2018
$6.2M
Plasma Protein Biomarker-Based Diagnostics Of Outcome In Sepsis and CAPU01AI066569 · NIAID · NATIONAL CENTER FOR GENOME RESOURCES · PI KINGSMORE, STEPHEN FRANCIS · 2005 to 2010
$2.9M
NIAID NIH HHS U01 AI066569NICHD NIH HHS U19 HD077693
6 · The paper itself

Abstract

Next-generation sequencing technologies have greatly lowered the cost of whole-genome sequencing (WGS) and related approaches. Thus, comprehensive sequencing for diagnostic purposes may clear this financial hurdle in the near future. The report by Bainbridge and colleagues in this issue of Science Translational Medicine illustrates the diagnostic power of WGS. In this Perspective, we discuss whether and how genome sequencing might become routine for clinical diagnosis.

Indexed as

GenomeDiagnosis, DifferentialForecastingHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID21677196
PMCPMC4264992

What OpenQuestion holds

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Registered trials

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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.