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

A robust association test for detecting genetic variants with heterogeneous effects.

Biostatistics (Oxford, England) - 1 Jan 2015

Yu Kai, Zhang Han, Wheeler William, Horne Hisani N, Chen Jinbo, Figueroa Jonine D

Abstract excerpt

One common strategy for detecting disease-associated genetic markers is to compare the genotype distributions between cases and controls, where cases have been diagnosed as having the disease condition. In a study of a complex disease with a heterogeneous etiology, the sampled case group most likely consists of people having different disease subtypes. If we conduct an association test by treating all cases as a...

Read the complete abstract on PubMed

Topics

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

Share to Breast Neoplasms
Share to Data Interpretation, Statistical

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Markers

Share to Genetic Variation

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Risk Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 25057183
DOI: 10.1093/biostatistics/kxu036
PMCID: PMC4263227

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

A robust association test for detecting genetic variants with heterogeneous effects.PMID 25057183Read ↗

A weighted U statistic for association analyses considering genetic heterogeneity.Semantic proximity Read ↗

Meta-analysis of sequencing studies with heterogeneous genetic associations.Semantic proximity Read ↗

Homogeneous case subgroups increase power in genetic association studies.Semantic proximity Read ↗

Incorporating phenotype heterogeneity in disease GWAS improves power while maintaining specificitySemantic proximity Read ↗

A unified mixed-effects model for rare-variant association in sequencing studies.Semantic proximity Read ↗

Finding associations in a heterogeneous setting: Statistical test for aberration enrichmentSemantic proximity Read ↗

Incorporation of Heterogeneity in a Case-Control Study Through a Mixture ModelSemantic proximity Read ↗

Genetic heterogeneity: Challenges, impacts, and methods through an associative lens.Semantic proximity Read ↗

A powerful and robust test in genetic association studies.Semantic proximity Read ↗

Gene-based Hardy–Weinberg equilibrium test using genotype count data identifies novel cancer-related genesSemantic proximity Read ↗

MARS: leveraging allelic heterogeneity to increase power of association testing.Semantic proximity Read ↗

Using synthetic datasets to bridge the gap between the promise and reality of basing health-related decisions on common single nucleotide polymorphismsSemantic proximity Read ↗

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