Beyond the CAG triplet number: exploring potential predictors of delayed age of onset in Huntington's disease

Sonia Di Tella1, Maria RIta Lo Monaco2,3, Martina Petracca4

  • 1Department of Psychology, Università Cattolica del Sacro Cuore, 20123, Milan, Italy.

Journal of Neurology
|August 1, 2022
PubMed

Insights

Non-genetic factors influence Huntington's disease onset age. Factors like marital status, living environment, and education level, alongside genetics, impact disease progression and patient stratification for clinical trials.

Area of Science:

  • Neurogenetics
  • Neurodegenerative Diseases

Background:

  • Huntington's disease (HD) is a genetic neurodegenerative disorder caused by CAG repeat expansion in the Huntingtin gene.
  • While CAG repeat length influences age of onset (AOO), it explains only ~70% of variability, suggesting other factors are involved.
  • Understanding non-genetic modifiers is crucial for predicting HD progression and patient stratification.

Purpose of the Study:

  • To identify demographic, anamnestic, and socio-environmental factors that predict age of motor onset in Huntington's disease.
  • To explore predictors of AOO beyond the well-established CAG repeat expansion in the Huntingtin gene.

Main Methods:

  • Retrospective analysis of data from the ENROLL-HD global registry study (n=5053).
  • Multivariate regression modeling incorporating sociodemographic, genetic, and psychobehavioral variables.
  • Subgroup analyses were performed for individuals with 41 CAG repeats and those with unknown family history.

Main Results:

  • Delayed onset in HD patients was associated with unknown family history, being married or widowed, living in urbanized areas, and lower educational attainment.
  • Earlier onset was more frequently linked to the development of psychobehavioral symptoms.
  • These findings highlight significant non-genetic influences on Huntington's disease AOO.

Conclusions:

  • The study confirms that factors beyond the Huntingtin gene's CAG repeat expansion modulate Huntington's disease age of onset.
  • Identifying these diverse determinants of AOO is essential for refining patient stratification in future clinical trial designs.
  • These insights contribute to a more comprehensive understanding of Huntington's disease variability.
Abstract

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