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

Improved Use of Small Reference Panels for Conditional and Joint Analysis with GWAS Summary Statistics.

Genetics - 1 Jun 2018

Deng Yangqing, Pan Wei

Abstract excerpt

Due to issues of practicality and confidentiality of genomic data sharing on a large scale, typically only meta- or mega-analyzed genome-wide association study (GWAS) summary data, not individual-level data, are publicly available. Reanalyses of such GWAS summary data for a wide range of applications have become more and more common and useful, which often require the use of an external reference panel with...

Read the complete abstract on PubMed

Topics

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

Share to Genome, Human
Share to Genome-Wide Association Study
Share to Linkage Disequilibrium

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Reference Standards

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 29674520
DOI: 10.1534/genetics.118.300813
PMCID: PMC5972416

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Improved Use of Small Reference Panels for Conditional and Joint Analysis with GWAS Summary Statistics.PMID 29674520Read ↗

Prospects of Fine-Mapping Trait-Associated Genomic Regions by Using Summary Statistics from Genome-wide Association Studies.Semantic proximity Read ↗

Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors.Semantic proximity Read ↗

Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels.Semantic proximity Read ↗

Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics.Semantic proximity Read ↗

Improving accuracy of rare variant imputation with a two-step imputation approach.Semantic proximity Read ↗

Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'.Semantic proximity Read ↗

Benchmarking of local genetic correlation estimation methods using summary statistics from genome-wide association studies.Semantic proximity Read ↗

Effect of genome-wide genotyping and reference panels on rare variants imputation.Semantic proximity Read ↗

Population-specific reference panel improves imputation quality for genome-wide association studies conducted on the Japanese population.Semantic proximity Read ↗

Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study.Semantic proximity Read ↗

Statistical perspectives for genome-wide association studies (GWAS).Semantic proximity Read ↗

Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets.Semantic proximity Read ↗

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