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Article

Prediction of the development of islet autoantibodies through integration of environmental, genetic, and metabolic markers.

Journal of diabetes - 1 Feb 2021

Webb-Robertson Bobbie-Jo M, Bramer Lisa M, Stanfill Bryan A, Reehl Sarah M, Nakayasu Ernesto S, Metz Thomas O, Frohnert Brigitte I, Norris Jill M, Johnson Randi K, Rich Stephen S, Rewers Marian J

Abstract excerpt

BACKGROUND: The Environmental Determinants of the Diabetes in the Young (TEDDY) study has prospectively followed, from birth, children at increased genetic risk of type 1 diabetes. TEDDY has collected heterogenous data longitudinally to gain insights into the environmental and biological mechanisms driving the progression to persistent islet autoantibodies. METHODS: We developed a machine learning model to...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 33124145
DOI: 10.1111/1753-0407.13093
PMCID: PMC7818425

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Prediction of the development of islet autoantibodies through integration of environmental, genetic, and metabolic markers.PMID 33124145Read ↗

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