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

HCLC-FC: A novel statistical method for phenome-wide association studies.

PloS one - 1 Jan 2022

Liang Xiaoyu, Cao Xuewei, Sha Qiuying, Zhang Shuanglin

Abstract excerpt

The emergence of genetic data coupled to longitudinal electronic medical records (EMRs) offers the possibility of phenome-wide association studies (PheWAS). In PheWAS, the whole phenome can be divided into numerous phenotypic categories according to the genetic architecture across phenotypes. Currently, statistical analyses for PheWAS are mainly univariate analyses, which test the association between one genetic...

Read the complete abstract on PubMed

Topics

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

Share to Cluster Analysis
Share to Genome-Wide Association Study
Share to Phenomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 36350801
DOI: 10.1371/journal.pone.0276646
PMCID: PMC9645610

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

HCLC-FC: A novel statistical method for phenome-wide association studies.PMID 36350801Read ↗

Maturation and application of phenome-wide association studies.Semantic proximity Read ↗

Phenomics: expanding the role of clinical evaluation in genomic studies.Semantic proximity Read ↗

Leveraging deep phenotyping from health check-up cohort with 10,000 Korean individuals for phenome-wide association study of 136 traits.Semantic proximity Read ↗

The use of phenome-wide association studies (PheWAS) for exploration of novel genotype-phenotype relationships and pleiotropy discovery.Semantic proximity Read ↗

Methodology in phenome-wide association studies: a systematic review.Semantic proximity Read ↗

A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans.Semantic proximity Read ↗

Unravelling the human genome-phenome relationship using phenome-wide association studies.Semantic proximity Read ↗

[Research progress in the methodology used in phenome-wide association studies].Semantic proximity Read ↗

PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statisticsSemantic proximity Read ↗

Genome-wide association studies and polygenic risk score phenome-wide association studies across complex phenotypes in the human phenotype project.Semantic proximity Read ↗

Next-Generation Phenotyping: Introducing PhecodeX for Enhanced Discovery Research in Medical PhenomicsSemantic proximity Read ↗

Phenome-wide association study (PheWAS) for detection of pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network.Semantic proximity Read ↗

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