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

The performance of a new local false discovery rate method on tests of association between coronary artery disease (CAD) and genome-wide genetic variants.

PloS one - 1 Jan 2017

Mei Shuyan, Karimnezhad Ali, Forest Marie, Bickel David R, Greenwood Celia M T

Abstract excerpt

The maximum entropy (ME) method is a recently-developed approach for estimating local false discovery rates (LFDR) that incorporates external information allowing assignment of a subset of tests to a category with a different prior probability of following the null hypothesis. Using this ME method, we have reanalyzed the findings from a recent large genome-wide association study of coronary artery disease (CAD),...

Read the complete abstract on PubMed

Topics

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

Share to Coronary Artery Disease
Share to CAD gene

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Frequency

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Share to Probability

Source

Open in PubMed Open full text

Identifiers

PMID: 28931044
DOI: 10.1371/journal.pone.0185174
PMCID: PMC5607215

Genes

CAD

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 11 closest

The performance of a new local false discovery rate method on tests of association between coronary artery disease (CAD) and genome-wide genetic variants.PMID 28931044Read ↗

Incorporating Prior Knowledge about Genetic Variants into the Analysis of Genetic Association Data: An Empirical Bayes Approach.Semantic proximity Read ↗

Bayesian variable selection for post-analytic interrogation of susceptibility loci.Semantic proximity Read ↗

Covariate-modulated local false discovery rate for genome-wide association studies.Semantic proximity Read ↗

An Entropy-Based Statistic for Genomewide Association StudiesSemantic proximity Read ↗

Epigenomic Assessment of Cardiovascular Disease Risk and Interactions With Traditional Risk MetricsSemantic proximity Read ↗

Epigenomic prediction of cardiovascular disease risk and interactions with traditional risk metricsSemantic proximity Read ↗

Reprioritizing genetic associations in hit regions using LASSO-based resample model averaging.Semantic proximity Read ↗

Integrative variable selection via Bayesian model uncertainty.Semantic proximity Read ↗

Parametric estimation of the local false discovery rate for identifying genetic associations.Semantic proximity Read ↗

Controlling the local false discovery rate in the adaptive Lasso.Semantic proximity Read ↗

Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease.Semantic proximity Read ↗

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