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Association of Metabolites with Obesity and Type 2 Diabetes Based on FTO Genotype.
Kim, Yeon-Jung; Lee, Heun-Sik; Kim, Yun Kyoung; Park, Suyeon; Kim, Jeong-Min; Yun, Jun Ho; Yu, Ho-Yeong; Kim, Bong-Jo.
Afiliação
  • Kim YJ; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
  • Lee HS; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
  • Kim YK; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
  • Park S; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
  • Kim JM; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
  • Yun JH; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
  • Yu HY; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
  • Kim BJ; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Korea.
PLoS One ; 11(6): e0156612, 2016.
Article em En | MEDLINE | ID: mdl-27249024
ABSTRACT
The single nucleotide polymorphism rs9939609 of the gene FTO, which encodes fat mass and obesity-associated protein, is strongly associated with obesity and type 2 diabetes (T2D) in multiple populations; however, the underlying mechanism of this association is unclear. The present study aimed to investigate FTO genotype-dependent metabolic changes in obesity and T2D. To elucidate metabolic dysregulation associated with disease risk genotype, genomic and metabolomic datasets were recruited from 2,577 participants of the Korean Association REsource (KARE) cohort, including 40 homozygous carriers of the FTO risk allele (AA), 570 heterozygous carriers (AT), and 1,967 participants carrying no risk allele (TT). A total of 134 serum metabolites were quantified using a targeted metabolomics approach. Through comparison of various statistical methods, seven metabolites were identified that are significantly altered in obesity and T2D based on the FTO risk allele (adjusted p < 0.05). These identified metabolites are relevant to phosphatidylcholine metabolic pathway, and previously reported to be metabolic markers of obesity and T2D. In conclusion, using metabolomics with the information from genome-wide association studies revealed significantly altered metabolites depending on the FTO genotype in complex disorders. This study may contribute to a better understanding of the biological mechanisms linking obesity and T2D.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Dioxigenase FTO Dependente de alfa-Cetoglutarato / Genótipo / Obesidade Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Dioxigenase FTO Dependente de alfa-Cetoglutarato / Genótipo / Obesidade Idioma: En Ano de publicação: 2016 Tipo de documento: Article