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

Incorporating model uncertainty in detecting rare variants: the Bayesian risk index.

Genetic epidemiology - 1 Nov 2011

Quintana Melanie A, Berstein Jonine L, Thomas Duncan C, Conti David V

Abstract excerpt

We are interested in investigating the involvement of multiple rare variants within a given region by conducting analyses of individual regions with two goals: (1) to determine if regional rare variation in aggregate is associated with risk; and (2) conditional upon the region being associated, to identify specific genetic variants within the region that are driving the association. In particular, we seek a...

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 BRCA1 Protein
Share to BRCA2 Protein

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Breast Neoplasms

Share to Computer Simulation

Share to Genetic Association Studies

Share to Models, Statistical

Share to Neoplasms, Second Primary

Source

Open in PubMed Open full text

Identifiers

PMID: 22009789
DOI: 10.1002/gepi.20613
PMCID: PMC3936341

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

Incorporating model uncertainty in detecting rare variants: the Bayesian risk index.PMID 22009789Read ↗

Bayesian analysis of rare variants in genetic association studies.Semantic proximity Read ↗

A subregion-based burden test for simultaneous identification of susceptibility loci and subregions within.Semantic proximity Read ↗

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

A unified model for estimating and testing familial aggregation.Semantic proximity Read ↗

A flexible Bayesian model for studying gene-environment interaction.Semantic proximity Read ↗

Inequality in genetic cancer risk suggests bad genes rather than bad luck.Semantic proximity Read ↗

A robust association test for detecting genetic variants with heterogeneous effects.Semantic proximity Read ↗

Incorporating prior biologic information for high-dimensional rare variant association studies.Semantic proximity Read ↗

iCARE: An R package to build, validate and apply absolute risk models.Semantic proximity Read ↗

iCARE: R package to build, validate and apply absolute risk modelsSemantic proximity Read ↗

Comprehensive approach to analyzing rare genetic variants.Semantic proximity Read ↗

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

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