The Grey Zone Project: Risk‐Based Classification of ABCD1 Variants in X‐Linked Adrenoleukodystrophy

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Authors: Troy C. Lund, Kelly Miettunen, Yorrick R. J. Jaspers, Caroline Bergner, Joshua L. Bonkowsky, F. Bruschi, Cohen Je, Inge M. E. Dijkstra, Florian S. Eichler, Eric J. Mallack, Gajja S. Salomons, Robert E. Thompson
+6 more Davide Tonduti, Keith Van Haren, Mirjam M. C. Wamelink, Ayelet Zerem, Marc Engelen, Stephan Kemp
Cited by: 3
References: 44

Abstract

Newborn screening (NBS) for X-linked adrenoleukodystrophy (ALD) enables early identification of boys at risk for adrenal insufficiency (AI) and cerebral ALD (CALD). However, NBS frequently identifies ABCD1 variants of uncertain significance (VUS), which are associated with only borderline-elevated C26:0-lysophosphatidylcholine (LPC(26:0)) levels. Traditional American College of Medical Genetics and Genomics (ACMG) pathogenicity classification does not account for age-dependent penetrance or the broader phenotypic spectrum, complicating risk assessment and clinical management. Through the Grey Zone Project, we developed a risk-stratification framework using a receiver operating characteristic (ROC)-based approach prioritizing 95% sensitivity. This framework incorporates biochemical and longitudinal clinical data from 1627 control subjects and 196 confirmed ALD patients. Three pediatric risk categories were defined: "no ALD" (177 nmol/L). When applied to 108 samples carrying 51 unique ABCD1 VUSs, 26 variants were reclassified as "no ALD," 15 as "lower-risk AI/CALD," and 10 as "at-risk AI/CALD." The framework reclassifies ABCD1 variants based on biochemical risk profiles, reducing false-positive referrals, avoiding unnecessary MRI surveillance, and alleviating parental anxiety by identifying children who are unlikely to develop childhood-onset disease. Integrating biochemical thresholds with genetic and longitudinal clinical data improves the specificity of NBS without compromising its sensitivity. Providing systematic feedback on false-positive cases to screening laboratories will further refine cut-offs. This framework provides a scalable, evidence-based model for interpreting variants and enabling personalized follow-up in ALD and other disorders with a variable age of onset.

Fields of Study & Subjects

Peroxisome Proliferator-Activated Receptors Adrenal Hormones and Disorders Adipose Tissue and Metabolism

Publication details

Journal / source
Journal of Inherited Metabolic Disease
Publisher
Wiley
Volume
49
Issue
2
Pages
e70157–e70157
Publication date
9 February 2026
Language
EN