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Development and validation of a multivariable genotype-informed gestational diabetes prediction algorithm for clinical use in the Mexican population: insights into susceptibility mechanisms.

Mirella ZuluetaHéctor Gallardo-RincónLuis Alberto Martinez-JuarezJulieta Lomelin-GasconJaninne Ortega-MontielAlejandra MontoyaLeire MendizabalMaddi ArregiMaría de Los Angeles Martinez-MartinezEneida Del Socorro Camarillo RomeroHugo Mendieta ZerónJosé de Jesús Garduño GarcíaLaureano SimónRoberto Tapia-Conyer
Published in: BMJ open diabetes research & care (2023)
We developed a predictive model using both genetic and clinical factors to identify Mexican women at risk of developing GDM. These findings may contribute to a greater understanding of metabolic functions that underlie elevated GDM risk and support personalized patient recommendations.
Keyphrases
  • machine learning
  • polycystic ovary syndrome
  • pregnancy outcomes
  • type diabetes
  • gene expression
  • genome wide
  • metabolic syndrome
  • dna methylation
  • breast cancer risk
  • clinical practice