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

Gene-SCOUT: identifying genes with similar continuous trait fingerprints from phenome-wide association analyses.

Nucleic acids research - 6 May 2022

Middleton Lawrence, Harper Andrew R, Nag Abhishek, Wang Quanli, Reznichenko Anna, Vitsios Dimitrios, Petrovski Slavé

Abstract excerpt

Large-scale phenome-wide association studies performed using densely-phenotyped cohorts such as the UK Biobank (UKB), reveal many statistically robust gene-phenotype relationships for both clinical and continuous traits. Here, we present Gene-SCOUT, a tool used to identify genes with similar continuous trait fingerprints to a gene of interest. A fingerprint reflects the continuous traits identified to be...

Read the complete abstract on PubMed

Topics

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

Share to Exome
Share to Exome Sequencing

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Phenomics

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 35474393
DOI: 10.1093/nar/gkac274
PMCID: PMC9071452

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

Gene-SCOUT: identifying genes with similar continuous trait fingerprints from phenome-wide association analyses.PMID 35474393Read ↗

Assessing the contribution of rare-to-common protein-coding variants to circulating metabolic biomarker levels via 412,394 UK Biobank exome sequencesSemantic proximity Read ↗

Surveying the contribution of rare variants to the genetic architecture of human disease through exome sequencing of 177,882 UK Biobank participantsSemantic proximity Read ↗

Rare coding and noncoding variants map 1,342 diseases and biomarkers in 490,549 whole genomesSemantic proximity Read ↗

Rare variant contribution to human disease in 281,104 UK Biobank exomes.Semantic proximity Read ↗

An atlas of genetic scores to predict multi-omic traitsSemantic proximity Read ↗

Disease prediction with multi-omics and biomarkers empowers case-control genetic discoveries in the UK Biobank.Semantic proximity Read ↗

Identifying cross-disease components of genetic risk across hospital data in the UK Biobank.Semantic proximity Read ↗

Systematic single-variant and gene-based association testing of thousands of phenotypes in 426,370 UK Biobank exomesSemantic proximity Read ↗

Multi-ancestry gene-trait connection landscape using electronic health record (EHR) linked biobank dataSemantic proximity Read ↗

SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests.Semantic proximity Read ↗

The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaborationSemantic proximity Read ↗

Genetic analyses of eight complex diseases using predicted continuous representations of disease.Semantic proximity Read ↗

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