New genotype-phenotype correlations and management recommendations for individuals with RERE variants
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Date
Journal Title
Journal ISSN
Volume Title
dc.identifier.issn
1098-3600
1530-0366
1530-0366
dc.identifier.doi
10.1016/j.gim.2026.102580
dc.identifier.other
dc.description.volume
28
dc.description.issue
6
Publisher
ELSEVIER SCIENCE INC
DOI
10.1016/j.gim.2026.102580
10.1016/j.gim.2026.102580
10.1016/j.gim.2026.102580
Abstract
Purpose: To define the phenotypic spectrum and genotype-phenotype correlations associated with pathogenic RERE variants and inform clinical management and genetic counseling for neurodevelopmental disorder with or without anomalies of the brain, eye, or heart (NEDBEH). Methods: We assembled a cohort of 54 individuals with heterozygous pathogenic, likely pathogenic, and variants of uncertain significance in RERE, including 30 previously unreported cases. Individuals were classified into 5 subcohorts based on variant type and location: loss-offunction, missense variants inside and outside a specific histidine-rich region (HRR), and HRR in-frame deletions and duplications. Phenotypic features were analyzed and compared across groups. Protein modeling was performed to assess potential structural effects. Results: Developmental delay, intellectual disability, and/or autism spectrum disorder were prevalent across all groups. Loss-of-function variants are associated with fewer multisystem anomalies than missense variants and are more likely to be inherited from a mildly symptomatic or asymptomatic parent. In contrast, HRR-associated missense variants and in-frame HRR duplications were associated with more multisystem phenotypes and usually arise de novo. HRR missense variants were structurally stabilizing, suggesting a gain-of-function or dominant-negative mechanism. Conclusion: These findings expand the clinical spectrum of RERE-related disorders, refine genotype-phenotype correlations , support variant-specific approaches to management , genetic counseling. (c) 2026 American College of Medical Genetics and Genomics. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
