Evidence map›Paper›PMID 19842929›Full record

ArticlePharmacogenomics2009

Institutional Profile: The University of California Pharmacogenomics Center: at the interface of genomics, biological mechanisms and drug therapy.

Deanna L Kroetz, Nadav Ahituv, Esteban G Burchard, Su Guo, Andrej Sali, Kathleen M Giacomini

Abstract read
In one paragraph

Article in Pharmacogenomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Deanna L KroetzDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA.
Nadav Ahituv
Esteban G Burchard
Su Guo
Andrej Sali
Kathleen M Giacomini

Funding

PHARMACOGENETICS OF MEMBRANE TRANSPORTERSU01GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIACOMINI, KATHLEEN M · 2000 to 2009
$29.2M
Pharmacogenomics of Membrane TransportersU19GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KWOK, PUI-YAN · 2010 to 2014
$16.3M
NIGMS NIH HHS GM61390NIGMS NIH HHS U01 GM061390NIGMS NIH HHS U19 GM061390
6 · The paper itself

Abstract

The Pharmacogenomics Center of the University of California, San Francisco (CA, USA) fosters research and educational activities focused on the genomic basis for variation in drug response. Investigators in the Center conduct multidisciplinary and multicenter research on a diverse array of clinically used drugs with the goal of understanding the genetic factors that contribute to variation in therapeutic and adverse drug response. The Center houses the large NIH-supported Pharmacogenomics of Membrane Transporters Project, which is a leader in understanding genetic variation in membrane transporters that are important in clinical drug response. Center investigators study racially and ethnically diverse populations, are pioneers in the education of PharmD, MD and PhD students in pharmacogenomics, and have led the establishment of unique graduate and postdoctoral training programs focused on pharmacogenomics. A key emphasis of the Center is on biological mechanisms with a goal of facilitating the development of safer and more effective medications.

Indexed as

Biomedical ResearchDrug DesignGenomicsPharmacogeneticsUniversitiesGenetic VariationGenome, HumanHumansMembrane Transport ProteinsNational Institutes of Health (U.S.)Polymorphism, GeneticPrecision MedicineResearch Support as TopicSan FranciscoUnited StatesMembrane Transport Proteins

Identifiers

PMID19842929
PMCPMC2923222

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.