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Genetic and early life factors influence on time-to-multiple sclerosis diagnosis: A UK Biobank study.

Andrea NovaGiovanni Di CaprioLuisa BernardinelliTeresa Fazia
Published in: Multiple sclerosis (Houndmills, Basingstoke, England) (2024)
The age-dependent effects suggest that retrospective studies could have underestimated sex and genetic variants' risk roles during younger ages. Therefore, we emphasize the importance of a time-to-event approach using longitudinal data to better characterize age-dependent risk effects.
Keyphrases
  • early life
  • multiple sclerosis
  • cross sectional
  • electronic health record
  • machine learning
  • case control
  • data analysis