Evidence map›Paper›PMID 32951664›Full record

ArticlePediatric neurology2020

Elevated Leukodystrophy Incidence Predicted From Genomics Databases.

Haille E Soderholm, Alexander B Chapin, Pinar Bayrak-Toydemir, Joshua L Bonkowsky

Open access · greenAbstract read
In one paragraph

Article in Pediatric neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Inpatient Deaths in Pediatric Leukodystrophies.Annals of the Child Neurology Society · 2026
    Article
  3. Rigorous genetic diagnosis review in natural history studies.Orphanet journal of rare diseases · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Novel Pathogenic Variants inHuman mutation · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Biallelic pathogenic variants inFrontiers in neurology · 2023
    Article
  13. Incidence of Aicardi-Goutières syndrome andMolecular genetics and metabolism reports · 2022
    Article
  14. Early recognition of patients with leukodystrophies.Current problems in pediatric and adolescent health care · 2022
    Review
  15. Review
  16. [Research advances in the clinical genetics of leukodystrophy in children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2022
    Review
  17. Review
  18. Case Report: A NovelFrontiers in genetics · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Haille E SoderholmDivision of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah.
Alexander B ChapinARUP Laboratories, ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah; Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah.
Pinar Bayrak-ToydemirARUP Laboratories, ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah; Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah.
Joshua L BonkowskyDivision of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah; Brain and Spine Center, Primary Children's Hospital, Salt Lake City, Utah; Primary Children's Center for Personalized Medicine, Salt Lake City, Utah. Electronic address: joshua.bonkowsky@hsc.utah.edu.
ARUP Laboratories (United States) · USChildren's Center · USUniversity of Utah · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

backgroundLeukodystrophies are genetic diseases affecting the white matter and leading to early death. Our objective was to determine leukodystrophy incidence, using genomics sequencing databases allele frequencies of disease-causing variants.

methodsFrom 49 genes, representing the standardly defined group of leukodystrophies, we identified potential disease-causing variants from publications in the Human Genetic Mutation Database and from predictions in the Genome Aggregation Database. Allele frequencies were estimated from Genome Aggregation Database. Allele frequencies for each gene were summed to generate a super allele frequency and we used the Hardy-Weinberg equation to calculate overall expected live birth incidence associated with the gene in question.

resultsWe identified 4564 pathogenic variants for 25 discrete leukodystrophies. The largest effect was from GALC variants (Krabbe disease), which had a predicted incidence of one in 12,080 live births, 8.3 times higher than published estimates. The second most frequently predicted leukodystrophy was the RNA polymerase III-related disorders, which had an incidence of 1:26,160. Overall, we found a leukodystrophy incidence of 1 in 4733 live births, significantly higher than previous estimates.

conclusionsOur data are consistent with a significant underdiagnosis of leukodystrophy patients. An intriguing additional consideration is that there may be genetic modifiers that lead to weaker, absent, or adult-onset disease phenotypes.

Indexed as

Databases, GeneticGene FrequencyHereditary Central Nervous System Demyelinating DiseasesHumansIncidenceLeukodystrophy, Globoid CellRNA Polymerase IIIRNA Polymerase IIIGenetic modifiersgnomADIncidenceKrabbe diseaseLeukodystrophy

Identifiers

PMID32951664
PMCPMC7506144
OpenAlexW3036302545

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.