SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes
Not on the map. Why?
Abstract (arXiv)
Hypertension is the leading global cause of cardiovascular disease and premature death. Distinct hypertension subtypes may vary in their prognoses and require different treatments. An individual's risk for hypertension is determined by genetic and environmental factors as well as their interactions. In this work, we studied 911 African Americans and 1,171 European Americans in the Hypertension Genetic Epidemiology Network (HyperGEN) cohort. We built hypertension subtype classification models using both environmental variables and sets of genetic features selected based on different criteria. The fitted prediction models provided insights into the genetic landscape of hypertension subtypes, which may aid personalized diagnosis and treatment of hypertension in the future.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 50 references that are in the map. First posted on arXiv 19 Nov 2021.
Builds on
4 of 50 references.
References · 4
- 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
- 2018Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorizationcited by 4
- 2020PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learningcited by 4
- 2018Cancer classification and pathway discovery using non-negative matrix factorizationcited by 2
Built on by
Not cited yet.