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

Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals.

Nature communications - 2 Apr 2020

Marnetto Davide, Pärna Katri, Läll Kristi, Molinaro Ludovica, Montinaro Francesco, Haller Toomas, Metspalu Mait, Mägi Reedik, Fischer Krista, Pagani Luca

Abstract excerpt

Polygenic Scores (PSs) describe the genetic component of an individual's quantitative phenotype or their susceptibility to diseases with a genetic basis. Currently, PSs rely on population-dependent contributions of many associated alleles, with limited applicability to understudied populations and recently admixed individuals. Here we introduce a combination of local ancestry deconvolution and partial PS...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Predisposition to Disease
Share to Genetics, Population

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Models, Genetic

Share to Multifactorial Inheritance

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 32242022
DOI: 10.1038/s41467-020-15464-w
PMCID: PMC7118071

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals.PMID 32242022Read ↗

Hidden structure in polygenic scores and the challenge of disentangling ancestry interactions in admixed populationsSemantic proximity Read ↗

Hidden structure in polygenic scores and the challenge of disentangling ancestry interactions in admixed populations.Semantic proximity Read ↗

Leveraging local ancestry and cross-ancestry genetic architecture to improve genetic prediction of complex traits in admixed populations.Semantic proximity Read ↗

Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statisticsSemantic proximity Read ↗

Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics.Semantic proximity Read ↗

An Ensemble Penalized Regression Method for Multi-ancestry Polygenic Risk PredictionSemantic proximity Read ↗

S4-Multi: enhancing polygenic score prediction in ancestrally diverse populationsSemantic proximity Read ↗

MUSSEL: Enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups.Semantic proximity Read ↗

MUSSEL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry GroupsSemantic proximity Read ↗

The Polygenic Score Catalog: new functionality and tools to enable FAIR researchSemantic proximity Read ↗

Admixture-informed polygenic risk reporting using the ePRS framework.Semantic proximity Read ↗

Principles and methods for transferring polygenic risk scores across global populations.Semantic proximity Read ↗

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