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

Computing differential sample size for case-control studies of gene-environment interaction.

Ethnicity & disease - 1 Jan 2008

Efird Jimmy Thomas, Hong Mi-Kyung

Abstract excerpt

The rates for diseases such as cancer, cardiovascular disease, and diabetes are known to differ by ethnic/racial groups. However, neither genetic nor environmental factors fully explain the observed differences. Failure to account for genetic expression in the absence or presence of an environmental factor, and vice-versa, may lead to erroneous conclusions regarding the importance of these factors in disease...

Read the complete abstract on PubMed

Topics

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

Share to Case-Control Studies
Share to Environment
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genotype

Share to Odds Ratio

Share to Research Design

Share to Risk Factors

Share to Sample Size

Source

Identifiers

PMID: 18646316

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Computing differential sample size for case-control studies of gene-environment interaction.PMID 18646316Read ↗

Gene-environment interaction: definitions and study designs.Semantic proximity Read ↗

Minimum sample size estimation to detect gene-environment interaction in case-control designs.Semantic proximity Read ↗

Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs.Semantic proximity Read ↗

Sample size requirements in case-only designs to detect gene-environment interaction.Semantic proximity Read ↗

Update on the State of the Science for Analytical Methods for Gene-Environment Interactions.Semantic proximity Read ↗

Invited commentary: efficient testing of gene-environment interaction.Semantic proximity Read ↗

On the use of population attributable fraction to determine sample size for case-control studies of gene-environment interaction.Semantic proximity Read ↗

Analytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic Research.Semantic proximity Read ↗

Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies--challenges and opportunities.Semantic proximity Read ↗

Analysis of epidemiologic studies of genetic effects and gene-environment interactions.Semantic proximity Read ↗

Gene-environment interactions in human diseases.Semantic proximity Read ↗

Sample size requirements to detect gene-environment interactions in genome-wide association studies.Semantic proximity Read ↗

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