Evidence map›Paper›PMID 42524523›Full record

ArticleFrontiers in genetics2026

Genotype-based severity scoring system in Wolfram Syndrome: correlation with onset of cardinal symptoms and

Liam Oiknine, Abby F Tang, Evan M Lee, Nila Palaniappan, Megha Verma, Kasra Vand, Sahiti Somalraju, Sarath Chandra Janga, Fumihiko Urano

Abstract read
In one paragraph

Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Liam OiknineDepartment of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, MO, United States.
Abby F TangDepartment of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, MO, United States.
Evan M LeeDepartment of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, MO, United States.
Nila PalaniappanDepartment of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, MO, United States.
Megha VermaDepartment of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, MO, United States.
Kasra VandDepartment of Biomedical Engineering and Informatics, Luddy School of Informatics, Computing and Engineering, Indiana University Indianapolis (IUI), Indianapolis, IN, United States.
Sahiti SomalrajuDepartment of Biomedical Engineering and Informatics, Luddy School of Informatics, Computing and Engineering, Indiana University Indianapolis (IUI), Indianapolis, IN, United States.
Sarath Chandra JangaDepartment of Biomedical Engineering and Informatics, Luddy School of Informatics, Computing and Engineering, Indiana University Indianapolis (IUI), Indianapolis, IN, United States.
Fumihiko UranoDepartment of Medicine, Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, MO, United States.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
TRANSGENICS COREP60DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI SCHAFFER, JEAN E. · 1986 to 2012
$25.2M
WUIDDRC Supplement-Supporting the health and well-being of children with intellectual and developmental disability during COVID-19 pandemicP50HD103525 · NICHD · WASHINGTON UNIVERSITY · PI JOSEPH D DOUGHERTY, Natasha Marrus · 2020 to 2026
$15.5M
Molecular Genetics of Hereditary Endoplasmic Reticulum DiabetesR01DK132090 · NIDDK · WASHINGTON UNIVERSITY · PI JANGA, SARATH CHANDRA, URANO, FUMIHIKO · 2022 to 2025
$2.2M
NCATS NIH HHS UL1 TR002345NICHD NIH HHS P50 HD103525NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P60 DK020579NIDDK NIH HHS R01 DK132090
6 · The paper itself

Abstract

Background: Wolfram syndrome is a rare genetic disorder characterized by antibody-negative early-onset atypical diabetes mellitus, optic nerve atrophy, sensorineural hearing loss, central diabetes insipidus (arginine vasopressin deficiency), and progressive neurodegeneration, with significant variability in disease severity. We assessed the accuracy of a genotype-based severity scoring system for predicting the onset of cardinal symptoms in Wolfram syndrome. Methods: The scoring system is based on the type of WFS1 variants (in-frame or out-of-frame) and their location relative to transmembrane domains, defining six severity classes. Severity scores were assigned to 324 patients with documented onset ages for diabetes mellitus, optic atrophy, hearing loss, and central diabetes insipidus. A computational rule-based framework and genotype-only gradient-boosting machine-learning models were developed to independently evaluate the scoring system and to estimate age of onset. Results: The severity score showed a clear association with earlier onset of diabetes mellitus and, less consistently, optic atrophy, but no correlation with hearing loss or central diabetes insipidus. Patients with in-frame variants outside transmembrane domains showed milder disease, especially the WFS1 c.1672C>T (p.Arg558Cys) variant, which is associated with a mild form of Wolfram syndrome prevalent in the Ashkenazi Jewish population, whereas out-of-frame variants showed the earliest onset. Severity scores 3 and 4 deviated from the expected progression, suggesting that transmembrane-domain involvement in both alleles increases severity. Consolidation into three tiers (Mild, Moderate, Severe) yielded median diabetes mellitus onset ages of 9.0, 6.5, and 4.6 years. The computational framework reproduced the six-class annotation with 94.4% accuracy, and the engineered genotype model outperformed the original registry score (diabetes mellitus exact-sextile accuracy 29.4% vs. 19.3%). Conclusion: The genotype-based severity score is most informative for diabetes mellitus, modestly informative for optic atrophy, and not currently useful for hearing loss or central diabetes insipidus. Because the analysis relies on observed events without time-to-event censoring and the three-tier consolidation is a post hoc summary of the same dataset, results should be regarded as exploratory and hypothesis-generating rather than as a validated clinical prediction tool, while still offering useful insight into genotype-related progression of Wolfram syndrome.

Indexed as

diabetes insipidusdiabetes mellitusgenotype-phenotype correlationhearing lossoptic atrophyseverity scoringWFS1Wolfram Syndrome

Identifiers

PMID42524523
PMCPMC13412279

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