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

Regionally Smoothed Meta-Analysis Methods for GWAS Datasets.

Genetic epidemiology - 1 Feb 2016

Begum Ferdouse, Sharker Monir H, Sherman Stephanie L, Tseng George C, Feingold Eleanor

Abstract excerpt

Genome-wide association studies are proven tools for finding disease genes, but it is often necessary to combine many cohorts into a meta-analysis to detect statistically significant genetic effects. Often the component studies are performed by different investigators on different populations, using different chips with minimal SNPs overlap. In some cases, raw data are not available for imputation so that only...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Environmental Exposure
Share to Genetic Predisposition to Disease

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

Share to Genome-Wide Association Study

Share to Genotype

Share to Linkage Disequilibrium

Share to Meta-Analysis as Topic

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 26707090
DOI: 10.1002/gepi.21949
PMCID: PMC4724289

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

Regionally Smoothed Meta-Analysis Methods for GWAS Datasets.PMID 26707090Read ↗

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

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

A statistical method for region-based meta-analysis of genome-wide association studies in genetically diverse populations.Semantic proximity Read ↗

Meta-analysis of genome-wide association studies.Semantic proximity Read ↗

From SNP to pathway-based GWAS meta-analysis: do current meta-analysis approaches resolve power and replication in genetic association studies?Semantic proximity Read ↗

A method to estimate the contribution of regional genetic associations to complex traits from summary association statistics.Semantic proximity Read ↗

Imputation aware meta-analysis of genome-wide association studies.Semantic proximity Read ↗

Multimarker analysis and imputation of multiple platform pooling-based genome-wide association studies.Semantic proximity Read ↗

Reconstructing SNP Allele and Genotype Frequencies from GWAS Summary StatisticsSemantic proximity Read ↗

Dealing with heterogeneity between cohorts in genomewide SNP association studies.Semantic proximity Read ↗

Efficient approximation of P-value of the maximum of correlated tests, with applications to genome-wide association studies.Semantic proximity Read ↗

METAINTER: meta-analysis of multiple regression models in genome-wide association studies.Semantic proximity Read ↗

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