Evidence map›Paper›PMID 25206309›Full record

ReviewPharmacogenomics and personalized medicine2014

Implementation and utilization of genetic testing in personalized medicine.

Noura S Abul-Husn, Aniwaa Owusu Obeng, Saskia C Sanderson, Omri Gottesman, Stuart A Scott

Open access · goldAbstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 103 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Aging precisely: Precision medicine through the lens of an older adult.Journal of the American Geriatrics Society · 2024
    Review
  8. Decoding the genetic landscape of autism: A comprehensive review.World journal of clinical pediatrics · 2024
    Article
  9. The Impact ofInternational journal of molecular sciences · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Pharmacogenetics of Antiplatelet Therapy.Annual review of pharmacology and toxicology · 2023
    Review
  17. Development and application of a computable genotype model in the GA4GH Variation Representation Specification.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  18. Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.Annual review of genomics and human genetics · 2022
    Review
  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

5 authors at 3 institutions in 1 country.

Noura S Abul-HusnDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Aniwaa Owusu ObengThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA ; Department of Pharmacy, Mount Sinai Hospital, New York, NY, USA.
Saskia C SandersonDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Omri GottesmanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stuart A ScottDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USMount Sinai Hospital · USPediatrics and Genetics · US

Funding

T32 training grant in medical genetics.T32GM082773 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Laszlo Tamas Kozicz, Eva Morava-Kozicz · 2008 to 2026
$4.9M
Biorepository for Genomic Medicine in diverse CommunitiesU01HG006380 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOTTINGER, ERWIN P. · 2011 to 2015
$4.5M
The Pharmacogenomic Control of Clopidogrel Response in Acute Coronary SyndromesK23GM104401 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCOTT, STUART ALEXANDER · 2013 to 2016
$778k
NHGRI NIH HHS U01 HG006380NIGMS NIH HHS K23 GM104401NIGMS NIH HHS T32 GM082773
6 · The paper itself

Abstract

Clinical genetic testing began over 30 years ago with the availability of mutation detection for sickle cell disease diagnosis. Since then, the field has dramatically transformed to include gene sequencing, high-throughput targeted genotyping, prenatal mutation detection, preimplantation genetic diagnosis, population-based carrier screening, and now genome-wide analyses using microarrays and next-generation sequencing. Despite these significant advances in molecular technologies and testing capabilities, clinical genetics laboratories historically have been centered on mutation detection for Mendelian disorders. However, the ongoing identification of deoxyribonucleic acid (DNA) sequence variants associated with common diseases prompted the availability of testing for personal disease risk estimation, and created commercial opportunities for direct-to-consumer genetic testing companies that assay these variants. This germline genetic risk, in conjunction with other clinical, family, and demographic variables, are the key components of the personalized medicine paradigm, which aims to apply personal genomic and other relevant data into a patient's clinical assessment to more precisely guide medical management. However, genetic testing for disease risk estimation is an ongoing topic of debate, largely due to inconsistencies in the results, concerns over clinical validity and utility, and the variable mode of delivery when returning genetic results to patients in the absence of traditional counseling. A related class of genetic testing with analogous issues of clinical utility and acceptance is pharmacogenetic testing, which interrogates sequence variants implicated in interindividual drug response variability. Although clinical pharmacogenetic testing has not previously been widely adopted, advances in rapid turnaround time genetic testing technology and the recent implementation of preemptive genotyping programs at selected medical centers suggest that personalized medicine through pharmacogenetics is now a reality. This review aims to summarize the current state of implementing genetic testing for personalized medicine, with an emphasis on clinical pharmacogenetic testing.

Indexed as

direct-to-consumer genetic testingimplementationpersonalized medicinepharmacogeneticspharmacogenomicspoint-of-care genetic testingpreemptive genetic testing

Identifiers

PMID25206309
PMCPMC4157398
OpenAlexW2053050643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.