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

Statistical power of association using the extreme discordant phenotype design.

Pharmacogenetics and genomics - 1 Jun 2006

Zhang Ge, Nebert Daniel W, Chakraborty Ranajit, Jin Li

Abstract excerpt

BACKGROUND: Selective genotyping has been proven to be an effective design for mapping quantitative trait loci (QTL), either by linkage or by allelic association, wherein the individual trait values can be used as the indices for phenotype selection. It has also been proposed that association stu...

Read the complete abstract on PubMed

Topics

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

Share to Chi-Square Distribution
Share to Data Interpretation, Statistical
Share to Gene Frequency

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetics, Population

Share to Linkage Disequilibrium

Share to Models, Genetic

Share to Quantitative Trait Loci

Share to Sample Size

Source

Identifiers

PMID: 16708049
DOI: 10.1097/01.fpc.0000204995.99429.0f

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Prepared record publication-16708049-2026-09-05.1. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Statistical power of association using the extreme discordant phenotype design.PMID 16708049Read ↗

Two-stage extreme phenotype sequencing design for discovering and testing common and rare genetic variants: efficiency and power.Semantic proximity Read ↗

QTL mapping with discordant and concordant sibling pairs: new statistics and new design strategies.Semantic proximity Read ↗

Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independence.Semantic proximity Read ↗

Sample size needed to detect gene-gene interactions using linkage analysis.Semantic proximity Read ↗

Extreme sampling design in genetic association mapping of quantitative trait loci using balanced and unbalanced case-control samples.Semantic proximity Read ↗

Phenotypic extremes in rare variant study designs.Semantic proximity Read ↗

Properties of the multiallelic trend test.Semantic proximity Read ↗

Considerations on study designs using the extreme sibpairs methods under multilocus oligogenic models.Semantic proximity Read ↗

The combined effect of SNP-marker and phenotype attributes in genome-wide association studies.Semantic proximity Read ↗

Improving power and robustness for detecting genetic association with extreme-value sampling design.Semantic proximity Read ↗

Analysis of systemic lupus erythematosus sub-phenotype data for genetic association.Semantic proximity Read ↗

SurvivalGWAS_Power: a user friendly tool for power calculations in pharmacogenetic studies with "time to event" outcomes.Semantic proximity Read ↗

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