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Unraveling phenotypic variance in metabolic syndrome through multi-omics.
Amente, Lamessa Dube; Mills, Natalie T; Le, Thuc Duy; Hyppönen, Elina; Lee, S Hong.
Affiliation
  • Amente LD; Australian Centre for Precision Health, University of South Australia, Adelaide, SA, 5000, Australia. lamessa.amente@mymail.unisa.edu.au.
  • Mills NT; UniSA Allied Health and Human Performance, University of South Australia, Adelaide, SA, 5000, Australia. lamessa.amente@mymail.unisa.edu.au.
  • Le TD; South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia. lamessa.amente@mymail.unisa.edu.au.
  • Hyppönen E; Discipline of Psychiatry, University of Adelaide, Adelaide, SA, 5000, Australia.
  • Lee SH; UniSA STEM, University of South Australia, Mawson Lakes, SA, 5095, Australia.
Hum Genet ; 143(1): 35-47, 2024 Jan.
Article in En | MEDLINE | ID: mdl-38095720
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome Limits: Humans Language: En Journal: Hum Genet Year: 2024 Document type: Article Affiliation country: Australia Country of publication: Alemania
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome Limits: Humans Language: En Journal: Hum Genet Year: 2024 Document type: Article Affiliation country: Australia Country of publication: Alemania