ArticleThe pharmacogenomics journal2010
Mapping genes that predict treatment outcome in admixed populations.
Article in The pharmacogenomics journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Dopamine transporter genotype and stimulant dose-response in youth with attention-deficit/hyperactivity disorder.Journal of child and adolescent psychopharmacology · 2014Trial
- Leveraging genetic ancestry to study severe asthma exacerbations in an admixed population.Thorax · 2023Article
- MI-MAAP: marker informativeness for multi-ancestry admixed populations.BMC bioinformatics · 2020Article
- Racial Disparities in Triple Negative Breast Cancer: A Review of the Role of Biologic and Non-biologic Factors.Frontiers in public health · 2020Review
- Gene-based analysis of genes related to neurotrophic pathway suggests association of BDNF and VEGFA with antidepressant treatment-response in depressed patients.Scientific reports · 2018Article
- Ethnicity and ERG frequency in prostate cancer.Nature reviews. Urology · 2018Review
- Article
- Resolving the etiology of atopic disorders by using genetic analysis of racial ancestry.The Journal of allergy and clinical immunology · 2016Review
- Pathway Analysis of Genome-wide Association Study in Childhood Leukemia among Hispanics.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016Article
- Association of genetic variation in IKZF1, ARID5B, and CEBPE and surrogates for early-life infections with the risk of acute lymphoblastic leukemia in Hispanic children.Cancer causes & control : CCC · 2015Article
- Self-reported race/ethnicity in the age of genomic research: its potential impact on understanding health disparities.Human genomics · 2015Review
- Mapping asthma-associated variants in admixed populations.Frontiers in genetics · 2015Review
- Impact of Population Stratification on Family-Based Association in an Admixed Population.International journal of genomics · 2015Article
- Secondary use of clinical data: the Vanderbilt approach.Journal of biomedical informatics · 2014Article
- Applying genome-wide gene-based expression quantitative trait locus mapping to study population ancestry and pharmacogenetics.BMC genomics · 2014Article
- Genetic variants in ARID5B and CEBPE are childhood ALL susceptibility loci in Hispanics.Cancer causes & control : CCC · 2013Article
- Ancestry inference in complex admixtures via variable-length Markov chain linkage models.Journal of computational biology : a journal of computational molecular cell biology · 2013Article
- Ovarian cancer and DNA repair: DNA ligase IV as a potential key.World journal of clinical oncology · 2013Article
- AncestrySNPminer: a bioinformatics tool to retrieve and develop ancestry informative SNP panels.Genomics · 2012Article
- Individualized risk for statin-induced myopathy: current knowledge, emerging challenges and potential solutions.Pharmacogenomics · 2012Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
There is great interest in characterizing the genetic architecture underlying drug response. For many drugs, gene-based dosing models explain a considerable amount of the overall variation in treatment outcome. As such, prescription drug labels are increasingly being modified to contain pharmacogenetic information. Genetic data must, however, be interpreted within the context of relevant clinical covariates. Even the most predictive models improve with the addition of data related to biogeographical ancestry. The current review explores analytical strategies that leverage population structure to more fully characterize genetic determinants of outcome in large clinical practice-based cohorts. The success of this approach will depend upon several key factors: (1) the availability of outcome data from groups of admixed individuals (that is, populations recombined over multiple generations), (2) a measurable difference in treatment outcome (that is, efficacy and toxicity end points), and (3) a measurable difference in allele frequency between the ancestral populations.
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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.