Information Theory Analysis of CTX Shows Consistent Clinical Presentation

Area of Science:

• Rare disease genetics
• Metabolic disorders
• Information theory applications

Background:

• Cerebrotendinous xanthomatosis (CTX) is a rare metabolic disorder caused by CYP27A1 variants.
• Clinical diagnosis is often delayed due to variable symptom onset and presentation across decades.
• Phenotypic variability within and between families complicates CTX diagnosis.

Purpose of the Study:

• To quantitatively assess clinical variability in Cerebrotendinous xanthomatosis (CTX).
• To determine if CTX presentation is consistent within families using information theory.
• To identify common features for improved CTX screening and diagnosis.

Main Methods:

• Systematic literature review to identify 218 CTX families with CYP27A1 genotype.
• Information theory analysis applied to clinical data across 12 features.
• Comparison of clinical burden between missense and loss-of-function CYP27A1 variants.

Main Results:

• Remarkably consistent clinical presentation observed within CTX families.
• Only 4 out of 83 families showed significant phenotypic variability.
• Patients with two loss-of-function variants had a higher clinical burden (p=0.0001).

Conclusions:

• Standardizing terms and analyzing features by age decade reveals consistent CTX presentation.
• Information theory analysis can detect clinically relevant patterns in rare diseases.
• Identifying consistent CTX features aids in screening and diagnosis of this treatable condition.