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

Improving genetic risk prediction by leveraging pleiotropy.

Human genetics - 1 May 2014

Li Cong, Yang Can, Gelernter Joel, Zhao Hongyu

Abstract excerpt

An important task of human genetics studies is to predict accurately disease risks in individuals based on genetic markers, which allows for identifying individuals at high disease risks, and facilitating their disease treatment and prevention. Although hundreds of genome-wide association studies (GWAS) have been conducted on many complex human traits in recent years, there has been only limited success in...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Pleiotropy
Share to Genetic Predisposition to Disease
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Regression Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 24337655
DOI: 10.1007/s00439-013-1401-5
PMCID: PMC3988249

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

Improving genetic risk prediction by leveraging pleiotropy.PMID 24337655Read ↗

Improving genetic prediction by leveraging genetic correlations among human diseases and traits.Semantic proximity Read ↗

Joint modeling of effect sizes for two correlated traits: Characterizing trait properties to enhance polygenic risk prediction.Semantic proximity Read ↗

Joint Modeling of Effect Sizes for Two Correlated Traits: Characterizing Trait Properties to Enhance Polygenic Risk PredictionSemantic proximity Read ↗

Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction.Semantic proximity Read ↗

LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies.Semantic proximity Read ↗

Pleiotropic heritability quantifies the shared genetic variance of common diseasesSemantic proximity Read ↗

Estimating and testing pleiotropy of single genetic variant for two quantitative traits.Semantic proximity Read ↗

Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.Semantic proximity Read ↗

Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood.Semantic proximity Read ↗

Shared components of heritability across genetically correlated traitsSemantic proximity Read ↗

Shared components of heritability across genetically correlated traits.Semantic proximity Read ↗

Pleiotropic shared heritability quantifies the shared genetic variance of common diseases.Semantic proximity Read ↗

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