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

Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants.

Bioinformatics (Oxford, England) - 11 Dec 2021

Song Shuang, Shan Nayang, Wang Geng, Yan Xiting, Liu Jun S, Hou Lin

Abstract excerpt

MOTIVATION: Identification and interpretation of non-coding variations that affect disease risk remain a paramount challenge in genome-wide association studies (GWAS) of complex diseases. Experimental efforts have provided comprehensive annotations of functional elements in the human genome. On the other hand, advances in computational biology, especially machine learning approaches, have facilitated accurate...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Genotype

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 34260700
DOI: 10.1093/bioinformatics/btab514
PMCID: PMC8665759

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants.PMID 34260700Read ↗

Multi-Cell-Type Openness-Weighted Association Studies for Trait-Associated Genomic Segments Prioritization.Semantic proximity Read ↗

Disease-specific prioritization of non-coding GWAS variants based on chromatin accessibility.Semantic proximity Read ↗

Disease-specific prioritization of non-coding GWAS variants based on chromatin accessibilitySemantic proximity Read ↗

Constrained Open Chromatin Regions Reveal Functional Elements Shaping Human TraitsSemantic proximity Read ↗

Phenotype-specific differences in polygenicity and effect size distribution across functional annotation categories revealed by AI-MiXeR.Semantic proximity Read ↗

A power-based sliding window approach to evaluate the clinical impact of rare genetic variants in the nucleotide sequence or the spatial position of the folded protein.Semantic proximity Read ↗

Joint analysis of functional genomic data and genome-wide association studies of 18 human traits.Semantic proximity Read ↗

A method for scoring the cell type-specific impacts of noncoding variants in personal genomes.Semantic proximity Read ↗

CREST-GV: Cell types Ranking and Enrichment Score for selecTive Genetic VariantsSemantic proximity Read ↗

Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes.Semantic proximity Read ↗

Mapping disease loci to biological processes via joint pleiotropic and epigenomic partitioning.Semantic proximity Read ↗

geneXplore: An Interactive Browser for X Chromosome-Wide Association Study ResultsSemantic proximity Read ↗

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