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

Andrea Nova Giovanni 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
big data
white matter
copy number
data analysis
breast cancer risk