Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Pharmacogenomic variants have larger effect sizes than genetic variants associated with other dichotomous complex traits.

The pharmacogenomics journal - 1 Aug 2016

Maranville J C, Cox N J

Abstract excerpt

It has been suggested that pharmacogenomic phenotypes are influenced by genetic variants with larger effect sizes than other phenotypes, such as complex disease risk. This is presumed to reflect the fact that relevant environmental factors (drug exposure) are appropriately measured and taken into account. To test this hypothesis, we performed a systematic comparison of effect sizes between pharmacogenomic and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Databases, Genetic
Share to Drug-Related Side Effects and Adverse Reactions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Endophenotypes

Share to Genetic Linkage

Share to Genome-Wide Association Study

Share to Heredity

Share to Pharmacogenomic Variants

Share to Quantitative Trait, Heritable

Source

Open in PubMed Open full text

Identifiers

PMID: 26149738
DOI: 10.1038/tpj.2015.47
PMCID: PMC4704992

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Pharmacogenomic variants have larger effect sizes than genetic variants associated with other dichotomous complex traits.PMID 26149738Read ↗

Pharmacogenomic and Statistical Analysis.Semantic proximity Read ↗

Highlights from the latest pharmacogenomic genome-wide association studies.Semantic proximity Read ↗

Phenome-Wide Association Studies: Embracing Complexity for Discovery.Semantic proximity Read ↗

Pharmacogenomics, ethnicity, and susceptibility genes.Semantic proximity Read ↗

Recent development in pharmacogenomics: from candidate genes to genome-wide association studies.Semantic proximity Read ↗

The role of phenotype in gene discovery in the whole genome sequencing era.Semantic proximity Read ↗

A new role for endophenotypes in the GWAS era: functional characterization of risk variants.Semantic proximity Read ↗

Genome-Wide Approach to Measure Variant-Based Heritability of Drug Outcome Phenotypes.Semantic proximity Read ↗

Insights from genome-wide association studies of drug response.Semantic proximity Read ↗

[Research progress in the methodology used in phenome-wide association studies].Semantic proximity Read ↗

Genome-wide association studies in pharmacogenomics: successes and lessons.Semantic proximity Read ↗

Genomewide Association Studies in Pharmacogenomics.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.