Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study

Dasom Kim, Junho Cha, Sungkyoung Choi

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DOI: 10.3390/ijms27188041
Published: 2026-09-09
Container: International Journal of Molecular Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/ijms27188041,
  title = {Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study},
  author = {Dasom Kim and Junho Cha and Sungkyoung Choi},
  year = {2026},
  journal = {International Journal of Molecular Sciences},
  doi = {10.3390/ijms27188041},
  url = {https://doi.org/10.3390/ijms27188041}
}

RIS

TY  - JOUR
TI  - Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study
AU  - Dasom Kim
AU  - Junho Cha
AU  - Sungkyoung Choi
PY  - 2026
JO  - International Journal of Molecular Sciences
DO  - 10.3390/ijms27188041
UR  - https://doi.org/10.3390/ijms27188041
ER  -

APA

Kim, D., Cha, J., & Choi, S. (2026). Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms27188041

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crossref · retrieved 2026-09-26T22:03:20.307Z