Evidence map›Paper›PMID 25493570›Full record

ArticlePharmacogenomics2014

Personalized sequencing and the future of medicine: discovery, diagnosis and defeat of disease.

Edward D Esplin, Ling Oei, Michael P Snyder

Abstract read
In one paragraph

Article in Pharmacogenomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Cellular and molecular mechanisms of skin wound healing.Nature reviews. Molecular cell biology · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Individuals with common diseases but with a low polygenic risk score could be prioritized for rare variant screening.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  17. Review
  18. Review
  19. Article
  20. 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

3 authors.

Edward D Esplin300 Pasteur Drive, Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Ling Oei
Michael P Snyder

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Longitudinal Multiomics Microbial Profiling in Healthy and Disease IndividualsU54DK102556 · NIDDK · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P., WEINSTOCK, GEORGE M · 2014 to 2015
$7.7M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1TR000093 · NCATS · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2012 to 2013
$6.5M
Longitudinal Multiomics Microbial Profiling in Healthy and Disease IndividualsU54DE023789 · NIDCR · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P., WEINSTOCK, GEORGE M · 2013 to 2014
$3.0M
NCATS NIH HHS UL1 TR000093NCATS NIH HHS UL1 TR001085NHGRI NIH HHS P50 HG007735NIDCR NIH HHS U54 DE023789NIDDK NIH HHS U54 DK102556
6 · The paper itself

Abstract

The potential for personalized sequencing to individually optimize medical treatment in diseases such as cancer and for pharmacogenomic application is just beginning to be realized, and the utility of sequencing healthy individuals for managing health is also being explored. The data produced requires additional advancements in interpretation of variants of unknown significance to maximize clinical benefit. Nevertheless, personalized sequencing, only recently applied to clinical medicine, has already been broadly applied to the discovery and study of disease. It is poised to enable the earlier and more accurate diagnosis of disease risk and occurrence, guide prevention and individualized intervention as well as facilitate monitoring of healthy and treated patients, and play a role in the prevention and recurrence of future disease. This article documents the advancing capacity of personalized sequencing, reviews its impact on disease-oriented scientific discovery and anticipates its role in the future of medicine.

Indexed as

cancer genomicsdisease discoveryelectronic medical recordgenomic medicineindividualized therapynext-generation sequencingpersonalized medicinepharmacogeneticspharmacogenomicsprecision medicinepreventionwhole-exome sequencingwhole-genome sequencing

Identifiers

PMID25493570
PMCPMC4336568

What OpenQuestion holds

Textmetadata
LicenceTDM
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.