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

Genetic prediction in the Genetic Analysis Workshop 18 sequencing data.

Genetic epidemiology - 1 Sept 2014

Ziegler Andreas, Bohossian Nora, Diego Vincent P, Yao Chen

Abstract excerpt

High-throughput sequencing data can be used to predict phenotypes from genotypes, and this corresponds to establishing a prognostic model. In extended pedigrees the relatedness of subjects provides additional information so that genetic values, fixed or random genetic components, and heritability can be estimated. At the Genetic Analysis Workshop 18, the working group on genetic prediction dealt with both...

Read the complete abstract on PubMed

Topics

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

Share to Blood Pressure
Share to Genetic Predisposition to Disease
Share to High-Throughput Nucleotide Sequencing

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Logistic Models

Share to Models, Genetic

Share to Pedigree

Share to Quantitative Trait Loci

Share to Sequence Analysis, DNA

Source

Open in PubMed Open full text

Identifiers

PMID: 25112190
DOI: 10.1002/gepi.21826
PMCID: PMC4310867

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Genetic prediction in the Genetic Analysis Workshop 18 sequencing data.PMID 25112190Read ↗

Genetic analysis of phenotypes derived from longitudinal data: Presentation Group 1 of Genetic Analysis Workshop 13.Semantic proximity Read ↗

Drinking from the Holy Grail: analysis of whole-genome sequencing from the Genetic Analysis Workshop 18.Semantic proximity Read ↗

Population-based association and gene by environment interactions in Genetic Analysis Workshop 18.Semantic proximity Read ↗

Multivariate analyses of blood pressure related phenotypes in a longitudinal framework: insights from Genetic Analysis Workshop 18.Semantic proximity Read ↗

Effect of linkage disequilibrium on the identification of functional variants.Semantic proximity Read ↗

Regression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini-exome data.Semantic proximity Read ↗

Prediction and interaction in complex disease genetics: experience in type 1 diabetes.Semantic proximity Read ↗

Summary of results and discussions from the gene-based tests group at Genetic Analysis Workshop 18.Semantic proximity Read ↗

Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17.Semantic proximity Read ↗

Data mining and computationally intensive methods: summary of Group 7 contributions to Genetic Analysis Workshop 13.Semantic proximity Read ↗

An Empirical Bayes risk prediction model using multiple traits for sequencing data.Semantic proximity Read ↗

Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15.Semantic proximity Read ↗

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