Genetic risk predictions using deep learning models with summary data

Our results suggest that suitable deep learning methods could also serve as an alternative approach to predict disease related traits when only linkage disequilibrium matrices are available as input.

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Publication Details

Journal
Frontiers in Bioinformatics
Published
2026-01-08
DOI
https://doi.org/10.3389/fbinf.2025.1657021
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Genetic risk predictions using deep learning models with summary data

Angela Yee‐Moon Wang, Xiaoxi Shen, Elena Xiao, Jason Cheng
Frontiers in Bioinformatics
Genetic Associations and Epidemiology
article

Genetic risk predictions using deep learning models with summary data

Angela Yee‐Moon Wang, Xiaoxi Shen, Elena Xiao, Jason Cheng
article en

Abstract

Our results suggest that suitable deep learning methods could also serve as an alternative approach to predict disease related traits when only linkage disequilibrium matrices are available as input.

Frontiers in BioinformaticsVol. 5
Texas State University (US), University School of Milwaukee (US), Westwood College (US), University of Wisconsin–Milwaukee (US)
Openalex Percentile: Top 95%
Genetic Associations and Epidemiology
DOIOpen Access PDFOpenAlex
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