Genome-wide association and MaODR-based multi-locus interaction analyses reveal a susceptibility gene network for newly identified metabolic syndrome.

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Bibliographic Details
Title: Genome-wide association and MaODR-based multi-locus interaction analyses reveal a susceptibility gene network for newly identified metabolic syndrome.
Authors: Lin YD; Department of Business Computing, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan., Luo KH; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medicine University, Kaohsiung City, 807, Taiwan., Chuang LY; Department of Chemical Engineering, and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung City, Taiwan., Chuang HY; Department of Community Medicine, Kaohsiung Medicine University Hospital, Kaohsiung Medicine University, Kaohsiung City, 807, Taiwan. ericch@kmu.edu.tw.; Program in Environmental and Occupational Medicine, and Research Center for Precision Environmental Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, 807, Taiwan. ericch@kmu.edu.tw., Yang CH; Department of Information Management, Tainan University of Technology, Tainan, Taiwan. chyang@nkust.edu.tw.; Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, 807, Taiwan. chyang@nkust.edu.tw.; Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung City, 807, Taiwan. chyang@nkust.edu.tw.; Program in Biomedical Engineering, Kaohsiung Medical University, Kaohsiung City, 807, Taiwan. chyang@nkust.edu.tw.
Source: Genome biology [Genome Biol] 2026 Jun 09. Date of Electronic Publication: 2026 Jun 09.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1474-760X
DOI:10.1186/s13059-026-04114-x