Evidence map›Paper›PMID 26469044›Full record

ReviewNature2015

Building the foundation for genomics in precision medicine.

Samuel J Aronson, Heidi L Rehm

Abstract readReview
In one paragraph

Review in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 200 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed, 4 pooled it
–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

200 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. A Novel Missense Variant in the GeneBioMed research international · 2021
    Trial
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  11. Article
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140 more citing papers are in PubMed but not listed here.

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.

Samuel J AronsonPartners HealthCare Personalized Medicine, Boston, Massachusetts 02115, USA.
Heidi L RehmPartners HealthCare Personalized Medicine, Boston, Massachusetts 02115, USA.

Funding

Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Genome Sequence-Based Screening for Childhood Risk and Newborn IllnessU19HD077671 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BEGGS, ALAN H., GREEN, ROBERT C. · 2013 to 2018
$6.1M
NHGRI NIH HHS U01 HG006500NHGRI NIH HHS U01HG006500NHGRI NIH HHS U41 HG006834NHGRI NIH HHS U41HG006834NICHD NIH HHS U19 HD077671NICHD NIH HHS U19HD077671
6 · The paper itself

Abstract

Precision medicine has the potential to profoundly improve the practice of medicine. However, the advances required will take time to implement. Genetics is already being used to direct clinical decision-making and its contribution is likely to increase. To accelerate these advances, fundamental changes are needed in the infrastructure and mechanisms for data collection, storage and sharing. This will create a continuously learning health-care system with seamless cycling between clinical care and research. Patients must be educated about the benefits of sharing data. The building blocks for such a system are already forming and they will accelerate the adoption of precision medicine.

Indexed as

Attitude of Health PersonnelClinical Laboratory ServicesElectronic Health RecordsGenetics, MedicalGenomicsHumansPatientsPhysiciansPrecision MedicineResearch Personnel

Identifiers

PMID26469044
PMCPMC5669797

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.