ReviewPharmacogenomics2012
Computational tools for discovery and interpretation of expression quantitative trait loci.
Review in Pharmacogenomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- reg-eQTL: Integrating transcription factor effects to unveil regulatory variants.American journal of human genetics · 2025Article
- Quantitative trait locus (xQTL) approaches identify risk genes and drug targets from human non-coding genomes.Human molecular genetics · 2022Review
- Genome and transcriptome profiling of spontaneous preterm birth phenotypes.Scientific reports · 2022Article
- Mini review: Targeting below-ground plant performance to improve nitrogen use efficiency (NUE) in barley.Frontiers in genetics · 2022Review
- An empirical Bayes approach for multiple tissue eQTL analysis.Biostatistics (Oxford, England) · 2018Article
- Estimation of cis-eQTL effect sizes using a log of linear model.Biometrics · 2018Article
- The Next Generation of Risk Assessment Multi-Year Study-Highlights of Findings, Applications to Risk Assessment, and Future Directions.Environmental health perspectives · 2016Review
- Genome-wide association analyses based on whole-genome sequencing in Sardinia provide insights into regulation of hemoglobin levels.Nature genetics · 2015Article
- Fast eQTL Analysis for Twin Studies.Genetic epidemiology · 2015Article
- Associations of common variants in the BST2 region with HIV-1 acquisition in African American and European American people who inject drugs.AIDS (London, England) · 2015Article
- Statistical and Computational Methods for Genetic Diseases: An Overview.Computational and mathematical methods in medicine · 2015Review
- Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility.World journal of diabetes · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Expression quantitative trait locus (eQTL) analysis is rapidly moving from a cutting-edge concept in genomics to a mature area of investigation, with important connections to genome-wide association studies for human disease, pharmacogenomics and toxicogenomics. Despite the importance of the topic, many investigators must develop their own code or use tools not specifically suited for eQTL analysis. Convenient computational tools are becoming available, but they are not widely publicized, and investigators who are interested in discovery or eQTL, or in using them to interpret genome-wide association study results may have difficulty navigating the available resources. The purpose of this review is to help investigators find appropriate programs for eQTL analysis and interpretation.
Indexed as
Identifiers
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.