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Article

Multivariate analysis of genomics data to identify potential pleiotropic genes for type 2 diabetes, obesity and dyslipidemia using Meta-CCA and gene-based approach.

PloS one - 1 Jan 2018

Chen Yuan-Cheng, Xu Chao, Zhang Ji-Gang, Zeng Chun-Ping, Wang Xia-Fang, Zhou Rou, Lin Xu, Ao Zeng-Xin, Lu Jun-Min, Shen Jie, Deng Hong-Wen

Abstract excerpt

Previous studies have demonstrated the genetic correlations between type 2 diabetes, obesity and dyslipidemia, and indicated that many genes have pleiotropic effects on them. However, these pleiotropic genes have not been well-defined. It is essential to identify pleiotropic genes using systematic approaches because systematically analyzing correlated traits is an effective way to enhance their statistical power....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 30110382
DOI: 10.1371/journal.pone.0201173
PMCID: PMC6093635

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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.

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