The Art and Science of Personalized Medicine

Piquette-Miller, Micheline; Grant, D M

doi:10.1038/sj.clpt.6100130

Cited by 75 publications

(67 citation statements)

References 10 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition to the increase in the number of genetic association studies for complex diseases [3] , interest in pharmacogenomics and the genetic basis for variation in drug response has also increased [4][5][6][7][8][9] . Many of these genetic association studies involve a set of candidate genes where a set of single nucleotide polymorphism (SNP) markers are genotyped within a gene.…”

Section: Introductionmentioning

confidence: 99%

Localizing Putative Markers in Genetic Association Studies by Incorporating Linkage Disequilibrium into Bayesian Hierarchical Models

Fridley¹,

Jenkins²

2010

Hum Hered

View full text Add to dashboard Cite

Objective: Numerous methods have been proposed to model the association between multiple single nucleotide polymorphisms (SNPs) and a phenotype. Often these methods do not explicitly model the information regarding the linkage disequilibrium (LD) between SNPs. Furthermore, many methods shrink the SNP effects towards zero, rather than to an unknown latent gene-level effect. Methods: We outline the use of bayesian hierarchical models for gene-level analysis that incorporates LD information. Four different bayesian models, with either the inclusion or exclusion of LD information and ‘shrinkage’ of SNP effects to a latent gene-level effect or zero, were applied to a pharmacogenomic study and simulation study. Results: We observed that the inclusion of LD information resulted in increased precision in the SNP parameter estimates. The simulation study also demonstrated that the bayesian models were able to determine the simulated ‘causative’ variant more often with less false-positive associations as compared to commonly used multi-SNP analysis methods. Conclusions: Incorporating LD information in the analysis of multiple SNPs results in more precise estimates of SNP effects. In addition, the bayesian models are able to isolate the simulated ‘causative’ variant more often than commonly used regression modeling methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Localizing Putative Markers in Genetic Association Studies by Incorporating Linkage Disequilibrium into Bayesian Hierarchical Models

Fridley¹,

Jenkins²

2010

Hum Hered

View full text Add to dashboard Cite

show abstract

“…Since the 1950s several monogenetic traits have been described that explain differences in drug response or drug toxicity in population subsets (1 ). These early discoveries have evolved into our current understanding of pharmacogenetics as a complex trait.…”

mentioning

confidence: 99%

“…Overexpression of Her2/neu is used to select patients with breast cancer appropriate for drug therapy with trastuzumab (5 ). With this beginning, the broad field of pharmacogenomics enters a challenging future with the use of high-throughput genomic analysis technologies (1 ). Pharmacogenomics may help to define subgroups of patients who will benefit from targeted therapy.…”

mentioning

confidence: 99%

Chip-Based Genotyping: Translation of Pharmacogenetic Research to Clinical Practice

Ahsen¹,

Oellerich

2007

Clinical Chemistry

View full text Add to dashboard Cite

“…2 Molecular medicine provides a powerful catalyst for diagnostic and therapeutic platforms tailored to the genetic and molecular profile of individual patients to improve specificity, reduce variability, and minimize adverse events. [3][4][5][6] Indeed, advances in molecular medicine have transformed the contemporary therapeutic landscape from drug discovery through identification of drugable targets, development through stratification of patients and diseases, regulation through identifying pathways mediating off-target effects, and utilization through matching patients with their optimal drug regimens. 2,7,8 This revolution in molecular therapeutics has entrained an evolution in biology and medicine.…”

Section: Introductionmentioning

confidence: 99%

Clinical and Translational Sciences: At the Intersection of Molecular and Individualized Medicine

Terzic

2008

Clinical Translational Sci

View full text Add to dashboard Cite

The Art and Science of Personalized Medicine

Cited by 75 publications

References 10 publications

Localizing Putative Markers in Genetic Association Studies by Incorporating Linkage Disequilibrium into Bayesian Hierarchical Models

Localizing Putative Markers in Genetic Association Studies by Incorporating Linkage Disequilibrium into Bayesian Hierarchical Models

Chip-Based Genotyping: Translation of Pharmacogenetic Research to Clinical Practice

Clinical and Translational Sciences: At the Intersection of Molecular and Individualized Medicine

Contact Info

Product

Resources

About