Login / Signup

Improving prediction models of amyotrophic lateral sclerosis (ALS) using polygenic, pre-existing conditions, and survey-based risk scores in the UK Biobank.

Weijia JinJonathan BossKatharine K BriegerStephen A GoutmanEva L FeldmanLars G FritscheBhramar Mukherjee
Published in: Journal of neurology (2024)
By leveraging UK Biobank data, our study uncovers pre-disposing ALS factors, highlighting the improved effectiveness of multi-factorial prediction models to identify individuals at highest risk for ALS.
Keyphrases
  • amyotrophic lateral sclerosis
  • cross sectional
  • randomized controlled trial
  • machine learning