ArticlePharmacogenetics and genomics2009
A pharmacogene database enhanced by the 1000 Genomes Project.
Article in Pharmacogenetics and genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Pharmacogenomics Tools for Precision Public Health and Lessons for Low- and Middle-Income Countries: A Scoping Review.Pharmacogenomics and personalized medicine · 2025Review
- Pharmacogenomics of Cytochrome P450 3A4: Recent Progress Toward the "Missing Heritability" Problem.Frontiers in genetics · 2013Article
- SCAN: a systems biology approach to pharmacogenomic discovery.Methods in molecular biology (Clifton, N.J.) · 2013Article
- PharmGKB: the Pharmacogenomics Knowledge Base.Methods in molecular biology (Clifton, N.J.) · 2013Article
- The limits of genome-wide methods for pharmacogenomic testing.Pharmacogenetics and genomics · 2012Article
- Impact of the 1000 genomes project on the next wave of pharmacogenomic discovery.Pharmacogenomics · 2010Review
- Pharmacogenomic discovery using cell-based models.Pharmacological reviews · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Human genetic variation is likely to be responsible for a substantial fraction of the variability in complex traits including drug response. Single nucleotide polymorphisms have been implicated in drug response using genome-wide association studies as well as candidate-gene approaches. A more comprehensive catalogue of human genetic variation should complement the current large-scale genotypic dataset from the International HapMap Project, which focuses on common genetic variants. The 1000 Genomes Project is an international research effort that aims to provide the most comprehensive map of human genetic variation using next-generation sequencing platforms. Owing to the lack of convenient tools, however, it is a challenge for the pharmacogenetic research community to take advantage of these data. Here, we present a new database of some pharmacogenes of particular interest to pharmacogenetic researchers. Our database provides a convenient portal for immediate utilization of the newly released 1000 Genomes Project data in pharmacogenetic studies.
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What OpenQuestion holds
Registered trials
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.