ArticleAmerican journal of medical genetics. Part A2025
Neuroimaging to Genotype: Delineating the Spectrum of Disorders With Deficient Myelination in the Indian Population.
Article in American journal of medical genetics. Part A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- UFMylation of Pyruvate Dehydrogenase Regulates Mitochondrial Metabolism.bioRxiv : the preprint server for biology · 2026Article
- Addressing the diagnostic gap through deep phenotyping.Human genomics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
Several genetic disorders are associated with either a permanent deficit or a delay in central nervous system myelination. We investigated 24 unrelated families (25 individuals) with deficient myelination after clinical and radiological evaluation. A combinatorial approach of targeting and/or genomic testing was employed. Molecular diagnosis was achieved in 22 out of 24 families (92%). Four families (4/9, 44%) were diagnosed with targeted testing and 18 families (18/23, 78%) were diagnosed using broad genomic testing. Overall, 14 monogenic disorders were identified. Twenty disease-causing variants were identified in 14 genes including PLP1, GJC2, POLR1C, TUBB4A, UFM1, NKX6-2, DEGS1, RNASEH2C, HEXA, ATP7A, SETBP1, GRIN2B, OCLN, and ZBTB18. Among these, nine (45%) variants are novel. Fourteen families (82%, 14/17) were diagnosed using proband-only exome sequencing (ES) complemented with deep phenotyping, thus highlighting the utility of singleton ES as a valuable diagnostic tool for identifying these disorders in resource-limited settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.