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

Modeling and testing for joint association using a genetic random field model.

Biometrics - 1 Sept 2014

He Zihuai, Zhang Min, Zhan Xiaowei, Lu Qing

Abstract excerpt

Substantial progress has been made in identifying single genetic variants predisposing to common complex diseases. Nonetheless, the genetic etiology of human diseases remains largely unknown. Human complex diseases are likely influenced by the joint effect of a large number of genetic variants instead of a single variant. The joint analysis of multiple genetic variants considering linkage disequilibrium (LD) and...

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 Cardiovascular Diseases
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Data Interpretation, Statistical

Share to Models, Statistical

Share to Reproducibility of Results

Share to Risk Assessment

Share to Sensitivity and Specificity

Source

Identifiers

PMID: 24628067
DOI: 10.1111/biom.12160

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

Modeling and testing for joint association using a genetic random field model.PMID 24628067Read ↗

A generalized genetic random field method for the genetic association analysis of sequencing data.Semantic proximity Read ↗

Risk Prediction Modeling of Sequencing Data Using a Forward Random Field Method.Semantic proximity Read ↗

Testing Allele Transmission of an SNP Set Using a Family-Based Generalized Genetic Random Field Method.Semantic proximity Read ↗

Disease gene identification by using graph kernels and Markov random fields.Semantic proximity Read ↗

A hidden Markov random field model for genome-wide association studies.Semantic proximity Read ↗

Risk Prediction Modeling on Family-Based Sequencing Data Using a Random Field Method.Semantic proximity Read ↗

Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci.Semantic proximity Read ↗

A probabilistic method for identifying rare variants underlying complex traits.Semantic proximity Read ↗

Multigenic modeling of complex disease by random forests.Semantic proximity Read ↗

A forest-based approach to identifying gene and gene gene interactions.Semantic proximity Read ↗

A powerful association test of multiple genetic variants using a random-effects model.Semantic proximity Read ↗

Detecting gene-gene interactions using a permutation-based random forest methodSemantic proximity Read ↗

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