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

Imputed gene expression risk scores: a functionally informed component of polygenic risk.

Human molecular genetics - 17 May 2021

Pain Oliver, Glanville Kylie P, Hagenaars Saskia, Selzam Saskia, Fürtjes Anna, Coleman Jonathan R I, Rimfeld Kaili, Breen Gerome, Folkersen Lasse, Lewis Cathryn M

Abstract excerpt

Integration of functional genomic annotations when estimating polygenic risk scores (PRS) can provide insight into aetiology and improve risk prediction. This study explores the predictive utility of gene expression risk scores (GeRS), calculated using imputed gene expression and transcriptome-wide association study (TWAS) results. The predictive utility of GeRS was evaluated using 12 neuropsychiatric and...

Read the complete abstract on PubMed

Topics

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

Share to Quantitative Trait Loci
Share to Reproducibility of Results

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Algorithms

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Multifactorial Inheritance

Share to Organ Specificity

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 33611520
DOI: 10.1093/hmg/ddab053
PMCID: PMC8127405

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

Imputed gene expression risk scores: a functionally informed component of polygenic risk.PMID 33611520Read ↗

Polygenic transcriptome risk scores improve portability of polygenic risk scores across ancestriesSemantic proximity Read ↗

Leveraging pleiotropy to improve genetic risk prediction across diseasesSemantic proximity Read ↗

Leveraging pleiotropy to improve genetic risk prediction across diseases.Semantic proximity Read ↗

Expression based polygenic scores - A gene network perspective to capture individual differences in biological processesSemantic proximity Read ↗

Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries.Semantic proximity Read ↗

Polygenic prediction of phenotypes with a neural empirical Bayes approachSemantic proximity Read ↗

Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets.Semantic proximity Read ↗

<i>In silico</i> integration of thousands of epigenetic datasets into 707 cell type regulatory annotations improves the trans-ethnic portability of polygenic risk scoresSemantic proximity Read ↗

Imputed Gene Expression versus Single Nucleotide Polymorphism in Predicting Gray Matter PhenotypesSemantic proximity Read ↗

Transforming polygenic risk prediction: functional annotation and digital twin modeling with whole-exome sequencingSemantic proximity Read ↗

A novel transcriptional risk score for risk prediction of complex human diseases.Semantic proximity Read ↗

Enhancing portability of trans-ancestral polygenic risk scores through tissue-specific functional genomic data integration.Semantic proximity Read ↗

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