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

Overlapping genetic susceptibility of seven autoimmune diseases:SPU tests based on genome-wide association summary statistics.

Gene - 30 Jan 2023

Zhao Chenyu, Jia Xiaocan, Wang Yuping, Luo Zixiao, Fan Jingwen, Shi Xuezhong, Yang Yongli

Abstract excerpt

Autoimmune diseases are a heterogeneous group of diseases with an unclear aetiology. Genome-wide association studies (GWAS) and meta-analysis are inefficient in identifying shared variants. This study aims to identify shared genetic susceptibility for seven autoimmune diseases using sum of powered score (SPU) tests. GWAS summary statistics datasets of seven autoimmune diseases were downloaded from Open Targets...

Read the complete abstract on PubMed

Topics

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

Share to Autoimmune Diseases
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 36368572
DOI: 10.1016/j.gene.2022.147036

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

Overlapping genetic susceptibility of seven autoimmune diseases:SPU tests based on genome-wide association summary statistics.PMID 36368572Read ↗

Identification of 67 Pleiotropic Genes Associated With Seven Autoimmune/Autoinflammatory Diseases Using Multivariate Statistical Analysis.Semantic proximity Read ↗

Identification of 67 pleiotropic genes for seven autoimmune diseases using multivariate statistical analysisSemantic proximity Read ↗

Joint analysis reveals shared autoimmune disease associations and identifies common mechanismsSemantic proximity Read ↗

Genetic analyses identify shared genetic components related to autoimmune and cardiovascular diseasesSemantic proximity Read ↗

PheWAS and cross-disorder analyses reveal genetic architecture, pleiotropic loci and phenotypic correlations across 11 autoimmune disordersSemantic proximity Read ↗

Detecting shared pathogenesis from the shared genetics of immune-related diseases.Semantic proximity Read ↗

Genetic analyses identify shared genetic components related to autoimmune and cardiovascular diseasesSemantic proximity Read ↗

Identifying a Common Autoimmune Gene Core as a Tool for Verifying Biological Significance and Applicability of Polygenic Risk Scores.Semantic proximity Read ↗

Genetic Profiling of Autoimmune Diseases and Exploring Clusters Through Polygenic Risk Score Analysis Using Cohort Data from the UK BiobankSemantic proximity Read ↗

Unravelling the Shared Genetic Mechanisms Underlying 18 Autoimmune Diseases Using a Systems Approach.Semantic proximity Read ↗

Unravelling the shared genetic mechanisms underlying 18 autoimmune diseases using a systems approachSemantic proximity Read ↗

PheWAS and cross-disorder analysis reveal genetic architecture, pleiotropic loci and phenotypic correlations across 11 autoimmune disorders.Semantic proximity Read ↗

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