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

Parametric estimation of the local false discovery rate for identifying genetic associations.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Yang Ye, Aghababazadeh Farnoosh Abbas, Bickel David R

Abstract excerpt

Abstract—Many genome-wide association studies have been conducted to identify single nucleotide polymorphisms (SNPs) that are associated with particular diseases or other traits. The local false discovery rate (LFDR) estimated using semiparametric models has enjoyed success in simultaneous inference. However, semiparametric LFDR estimators can be biased because they tend to overestimate the proportion of the...

Read the complete abstract on PubMed

Topics

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

Share to Bayes Theorem
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computer Simulation

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Models, Statistical

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 23702547
DOI: 10.1109/TCBB.2012.140

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

Parametric estimation of the local false discovery rate for identifying genetic associations.PMID 23702547Read ↗

A simple Bayesian mixture model with a hybrid procedure for genome-wide association studies.Semantic proximity Read ↗

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

Estimating genetic influence on disease from population-based case-control data: application to cancers of the breast and ovary.Semantic proximity Read ↗

A general conditional-logistic model for affected-relative-pair linkage studies.Semantic proximity Read ↗

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

Hierarchical modeling for estimating relative risks of rare genetic variants: properties of the pseudo-likelihood method.Semantic proximity Read ↗

Semiparametric maximum likelihood variance component estimation using mixture moment structure models.Semantic proximity Read ↗

Bayesian semiparametric meta-analysis for genetic association studies.Semantic proximity Read ↗

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

A genome-wide scan for a simulated data set using two newly developed methods.Semantic proximity Read ↗

A new model calling procedure for Illumina BeadArray data.Semantic proximity Read ↗

Detecting differential gene expression with a semiparametric hierarchical mixture method.Semantic proximity Read ↗

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