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

Phenotype-genotype association grid: a convenient method for summarizing multiple association analyses.

BMC genetics - 22 May 2006

Levy Daniel, DePalma Steven R, Benjamin Emelia J, O'Donnell Christopher J, Parise Helen, Hirschhorn Joel N, Vasan Ramachandran S, Izumo Seigo, Larson Martin G

Abstract excerpt

BACKGROUND: High-throughput genotyping generates vast amounts of data for analysis; results can be difficult to summarize succinctly. A single project may involve genotyping many genes with multiple variants per gene and analyzing each variant in relation to numerous phenotypes, using several gen...

Read the complete abstract on PubMed

Topics

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

Share to Computer Graphics
Share to Data Interpretation, Statistical
Share to Echocardiography

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Environment

Share to Haplotypes

Share to Internet

Share to Models, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 16716207
DOI: 10.1186/1471-2156-7-30
PMCID: PMC1526453

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-16716207-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Phenotype-genotype association grid: a convenient method for summarizing multiple association analyses.PMID 16716207Read ↗

Exploring genotype-phenotype data using the GWAS CatalogSemantic proximity Read ↗

Phenotype-Genotype Integrator (PheGenI): synthesizing genome-wide association study (GWAS) data with existing genomic resources.Semantic proximity Read ↗

Providing context and interpretability to genetic association analysis results using the KGraph.Semantic proximity Read ↗

KGraph: a system for visualizing and evaluating complex genetic associations.Semantic proximity Read ↗

PheLiGe: an interactive database of billions of human genotype-phenotype associations.Semantic proximity Read ↗

iHAT: interactive hierarchical aggregation table for genetic association data.Semantic proximity Read ↗

NCBI's Database of Genotypes and Phenotypes: dbGaP.Semantic proximity Read ↗

NETMAGE: a humaN-disEase phenoType MAp GEnerator for the Visualization of PheWASSemantic proximity Read ↗

Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statisticsSemantic proximity Read ↗

GWAS GUI: graphical browser for the results of whole-genome association studies with high-dimensional phenotypes.Semantic proximity Read ↗

Trumpet plots: Visualizing The Relationship Between Allele Frequency And Effect Size In Genetic Association StudiesSemantic proximity Read ↗

Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus.Semantic proximity Read ↗

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