Mar 11, 2024 · This paper introduces Differentiable Mendelian Randomization (DMR), a technique that predicts disease risk without needing long-term patient ...
May 17, 2024 · We introduce Differentiable Mendelian Randomization (DMR), a new approach for end-to-end learning of disease predictors from multiple risk factors within the ...
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What is Mendelian randomization?
Mendelian randomization (MR) is pivotal for identifying causal links between risk factors and health outcomes, utilizing genetic data across different cohorts ( ...
Mar 11, 2024 · To address this challenge, we introduce Differentiable Mendelian Randomization (DMR), an extension of the classical Mendelian Randomization ...
Aug 31, 2024 · Mendelian randomization reveals potential causal relationships between cellular senescence-related genes and multiple cancer risks | ...
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Disease Risk Predictions with Differentiable Mendelian ...
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May 19, 2024 · Download Citation | On May 17, 2024, Ludwig Gräf and others published Disease Risk Predictions with Differentiable Mendelian Randomization ...
Oct 11, 2024 · Genetics-driven risk predictions leveraging the Mendelian randomization framework.
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To do so, DMR leverages risk factors and genetic data from a healthy cohort, along with results from genome-wide association studies (GWAS) of diseases of ...
To do so, DMR leverages risk factors and genetic profiles from a healthy cohort, along with results from genome-wide association studies (GWAS) of diseases of ...
To overcome this challenge, we introduce a novel framework, Predictive Risk modeling using Mendelian Randomization (PRiMeR), which utilizes genetic effects as ...