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

PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.

Bioinformatics (Oxford, England) - 3 Feb 2023

Yu Xinyi, Xiao Jiashun, Cai Mingxuan, Jiao Yuling, Wan Xiang, Liu Jin, Yang Can

Abstract excerpt

MOTIVATION: The findings from genome-wide association studies (GWASs) have greatly helped us to understand the genetic basis of human complex traits and diseases. Despite the tremendous progress, much effects are still needed to address several major challenges arising in GWAS. First, most GWAS hits are located in the non-coding region of human genome, and thus their biological functions largely remain unknown....

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 36744920
DOI: 10.1093/bioinformatics/btad068
PMCID: PMC9950853

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.PMID 36744920Read ↗

LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations.Semantic proximity Read ↗

LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotationsSemantic proximity Read ↗

Leveraging functional annotations in genetic risk prediction for human complex diseases.Semantic proximity Read ↗

LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.Semantic proximity Read ↗

Leveraging polygenic functional enrichment to improve GWAS powerSemantic proximity Read ↗

Scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications to studying Alzheimer’s diseaseSemantic proximity Read ↗

Estimating genetic architecture and integrating functional annotations improve polygenic risk scores derived from GWAS summary statisticsSemantic proximity Read ↗

multi-GPA-Tree: Statistical approach for pleiotropy informed and functional annotation tree guided prioritization of GWAS results.Semantic proximity Read ↗

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

GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results.Semantic proximity Read ↗

A probabilistic framework to dissect functional cell-type-specific regulatory elements and risk loci underlying the genetics of complex traitsSemantic proximity Read ↗

Pleiotropic Mapping and Annotation Selection in Genome-wide Association Studies with Penalized Gaussian Mixture ModelsSemantic proximity Read ↗

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