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

Risk Prediction Modeling on Family-Based Sequencing Data Using a Random Field Method.

Genetics - 1 Sept 2017

Wen Yalu, Burt Alexandra, Lu Qing

Abstract excerpt

Family-based design is one of the most popular designs in genetic studies and has many unique features for risk-prediction research. It is robust against genetic heterogeneity, and the relatedness among family members can be informative for predicting an individual's risk for disease with polygenic and shared environmental components of risk. Despite these strengths, family-based designs have been used...

Topics

Join the communities discussing this publication.

Pedigree
Genetic Heterogeneity
Genetic Predisposition to Disease
Genome-Wide Association Study
Models, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Sequence Analysis, DNA

Source

Open in PubMed Open full text

Identifiers

PMID: 28679544
DOI: 10.1534/genetics.117.199752
PMCID: PMC5586386

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Risk Prediction Modeling on Family-Based Sequencing Data Using a Random Field Method.PMID 28679544Read ↗

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

Detecting Rare Mutations with Heterogeneous Effects Using a Family-Based Genetic 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 ↗

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

Family-GWAS reveals effects of environment and mating on genetic associationsSemantic proximity Read ↗

Systematic comparison of family history and polygenic risk across 24 common diseasesSemantic proximity Read ↗

Family-based association studies for next-generation sequencing.Semantic proximity Read ↗

Systematic comparison of family history and polygenic risk across 24 common diseases.Semantic proximity Read ↗

Evaluating Genetic-Based Disease Prediction Approaches Through SimulationSemantic proximity Read ↗

A likelihood-based framework for variant calling and de novo mutation detection in families.Semantic proximity Read ↗

Genetic liability estimated from large-scale family data improves genetic prediction, risk score profiling, and gene mapping for major depression.Semantic proximity Read ↗

PA-FGRS is a novel estimator of pedigree-based genetic liability that complements genotype-based inferences into the genetic architecture of major depressive disorderSemantic proximity Read ↗

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