Evidence map›Paper›PMID 22095251›Full record

ReviewGenetics in medicine : official journal of the American College of Medical Genetics2011

Personalizing medicine with clinical pharmacogenetics.

Stuart A Scott

Abstract readReview
In one paragraph

Review in Genetics in medicine : official journal of the American College of Medical Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 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

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. CPMKG: a condition-based knowledge graph for precision medicine.Database : the journal of biological databases and curation · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Predictive Value ofGenes · 2023
    Article
  17. Pharmacogenetics of Antiplatelet Therapy.Annual review of pharmacology and toxicology · 2023
    Review
  18. Article
  19. Review
  20. Article

15 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

1 author.

Stuart A ScottDepartment of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, USA. stuart.scott@mssm.edu

Funding

Mount Sinai Institutes for Clinical and Translational SciencesKL2RR029885 · NCRR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MURPHY, BARBARA T. · 2009 to 2011
$1.8M
NCRR NIH HHS KL2 RR029885
6 · The paper itself

Abstract

Clinical genetic testing has grown substantially over the past 30 years as the causative mutations for Mendelian diseases have been identified, particularly aided in part by the recent advances in molecular-based technologies. Importantly, the adoption of new tests and testing strategies (e.g., diagnostic confirmation, prenatal testing, and population-based carrier screening) has often been met with caution and careful consideration before clinical implementation, which facilitates the appropriate use of new genetic tests. Although the field of pharmacogenetics was established in the 1950s, clinical testing for constitutional pharmacogenetic variants implicated in interindividual drug response variability has only recently become available to help clinicians guide pharmacotherapy, in part due to US Food and Drug Administration-mediated product insert revisions that include pharmacogenetic information for selected drugs. However, despite pharmacogenetic associations with adverse outcomes, physician uptake of clinical pharmacogenetic testing has been slow. Compared with testing for Mendelian diseases, pharmacogenetic testing for certain indications can have a lower positive predictive value, which is one reason for underutilization. A number of other barriers remain with implementing clinical pharmacogenetics, including clinical utility, professional education, and regulatory and reimbursement issues, among others. This review presents some of the current opportunities and challenges with implementing clinical pharmacogenetic testing.

Indexed as

Genetic TestingAllelesCytochrome P-450 CYP2D6EthnicityEvidence-Based MedicineGene FrequencyGenetic VariationHumansPharmacogeneticsPrecision MedicinePredictive Value of TestsPrescription DrugsUnited StatesUnited States Food and Drug AdministrationCytochrome P-450 CYP2D6Prescription Drugs

Identifiers

PMID22095251
PMCPMC3290900

What OpenQuestion holds

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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.