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Improved Type 2 Diabetes Risk Stratification in the Qatar Biobank Cohort by Ensemble Learning Classifier Incorporating Multi-Trait, Population-Specific, Polygenic Risk Scores

2023-06-25

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Type 2 Diabetes (T2D) is a pervasive chronic disease influenced by a complex interplay of environmental and genetic factors. To enhance T2D risk prediction, leveraging genetic information is essential, with polygenic risk scores (PRS) offering a promising tool for assessing individual genetic risk. Our study focuses on the comparison between multi-trait and single-trait PRS...

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Literature Corpus work
8168dcff-9e2a-598e-938c-35ab4a49866b
DOI
10.1101/2023.06.23.23291830
Open publication

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Improved Type 2 Diabetes Risk Stratification in the Qatar Biobank Cohort by Ensemble Learning Classifier Incorporating Multi-Trait, Population-Specific, Polygenic Risk ScoresDOI 10.1101/2023.06.23.23291830
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