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

Meta-analysis of genetic association studies: methodologies, between-study heterogeneity and winner's curse.

Journal of human genetics - 1 Nov 2009

Nakaoka Hirofumi, Inoue Ituro

Abstract excerpt

Meta-analysis is a useful tool to increase the statistical power to detect gene-disease associations by combining results from the original and subsequent replication studies. Recently, consortium-based meta-analyses of several genome-wide association (GWA) data sets have discovered new susceptib...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Genetic Association Studies
Share to Genetic Heterogeneity

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Meta-Analysis as Topic

Share to Models, Genetic

Share to Odds Ratio

Source

Identifiers

PMID: 19851339
DOI: 10.1038/jhg.2009.95

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19851339-2026-09-02.2. 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

Meta-analysis of genetic association studies: methodologies, between-study heterogeneity and winner's curse.PMID 19851339Read ↗

Meta-analysis of genetic association studies.Semantic proximity Read ↗

Meta-Analysis of Common and Rare Variants.Semantic proximity Read ↗

Methods for meta-analyses of genome-wide association studies: critical assessment of empirical evidence.Semantic proximity Read ↗

On individual genome-wide association studies and their meta-analysis.Semantic proximity Read ↗

Meta-analysis of genetic association studies under heterogeneity.Semantic proximity Read ↗

Exploring the Major Sources and Extent of Heterogeneity in a Genome-Wide Association Meta-Analysis.Semantic proximity Read ↗

Meta-analysis for genome-wide association studies using case-control design: application and practice.Semantic proximity Read ↗

Gene-gene and gene-environment interactions in meta-analysis of genetic association studies.Semantic proximity Read ↗

Meta-analysis methods for genome-wide association studies and beyond.Semantic proximity Read ↗

Obstacles and opportunities in meta-analysis of genetic association studies.Semantic proximity Read ↗

Methods for meta-analysis of genetic data.Semantic proximity Read ↗

The Quality of Meta-Analyses of Genetic Association Studies: A Review With RecommendationsSemantic proximity Read ↗

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