The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Whole exome sequencing in patients with white matter abnormalities
Open accessAbstract
Here we report whole exome sequencing (WES) on a cohort of 71 patients with persistently unresolved white matter abnormalities with a suspected diagnosis of leukodystrophy or genetic leukoencephalopathy. WES analyses were performed on trio, or greater, family groups. Diagnostic pathogenic variants were identified in 35% (25 of 71) of patients. Potentially pathogenic variants were identified in clinically relevant genes in a further 7% (5 of 71) of cases, giving a total yield of clinical diagnoses in 42% of individuals. These findings provide evidence that WES can substantially decrease the number of unresolved white matter cases. Ann Neurol 2016;79:1031–1037
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“Nevertheless, the percentage of leukodystrophy cases without a specific diagnosis has been estimated to be 20–30% [7,39,40].”
From Identification of a Novel Non-Canonical Splice-Site Variant in ABCD1 (2023) · cites this paper as [7]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“NGS genetic testing, including gene panel testing, WES, or whole genome sequencing (WGS), is the most successful approach for diagnosing rare diseases with the highest diagnostic yield [7,37].”
From Identification of a Novel Non-Canonical Splice-Site Variant in ABCD1 (2023) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Genetic screening using next-generation sequencing (NGS) is the most successful approach with the highest diagnostic yield in cases of underlying genetic disorders, such as CALD, and provides the fastest results [7,8].”
From Identification of a Novel Non-Canonical Splice-Site Variant in ABCD1 (2023) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Trio-WES has substantially increased the number of known leukodystrophies and improved diagnoses [7,8,39].”
From Identification of a Novel Non-Canonical Splice-Site Variant in ABCD1 (2023) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Previously, we reported on a cohort of 191 families with a suspected leukodystrophy, of which 71 were persistently unsolved despite targeted molecular and enzymatic testing and 19 were lost to follow‐up.1”
From Genome sequencing in persistently unsolved white matter disorders (2020) · cites this paper as [1]
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Trio‐or‐greater exome sequencing analysis resolved 42% (30/71) of unsolved cases, which, in combination with standard of care approaches, yielded a 77% overall diagnostic rate from 172 families available for testing.”
From Genome sequencing in persistently unsolved white matter disorders (2020) · cites this paper as [1]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Thirty cases were solved by exome sequencing,1 and in this study, genome sequencing established a diagnosis in an additional 14 families yielding a 20% improvement, and an overall diagnostic efficacy of NGS of genome or exome sequencing increased to 44/71 (62%) and in total resolution of 145/172 (84%) of the original testable cohort.”
From Genome sequencing in persistently unsolved white matter disorders (2020) · cites this paper as [1]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“The duplication was previously undetected by exome sequencing due to a lack of coverage as it lies in the middle of a 110 nucleotide block of a ~ 95% GC‐rich region (Fig. 1B).1”
From Genome sequencing in persistently unsolved white matter disorders (2020) · cites this paper as [1]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Stringent variant filtering performed during the prior exome sequencing analysis excluded this intronic variant and precluded a diagnosis.1”
From Genome sequencing in persistently unsolved white matter disorders (2020) · cites this paper as [1]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Richards, S., Aziz, N., Bale, S., Bick, D., Das, S., Gastier-Foster, J., Grody, W. W., Hegde, M., Lyon, E., Spector, E., et al. (2015) · Genetics in Medicine · doi:10.1038/gim.2015.30 · Cited by 32,594
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing
Green, R. C., Berg, J. S., Grody, W. W., Kalia, S. S., Korf, B. R., Martin, C. L., McGuire, A. L., Nussbaum, R. L., O’Daniel, J. M., Ormond, K. E., et al. (2013) · Genetics in Medicine · doi:10.1038/gim.2013.73 · Cited by 2,544
Clinical Whole-Exome Sequencing for the Diagnosis of Mendelian Disorders
Yang, Y., Muzny, D. M., Reid, J. G., Bainbridge, M. N., Willis, A. S., Ward, P. A., Braxton, A. A., Beuten, J., Xia, F., Niu, Z., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1306555 · Cited by 1,991
Exome sequencing as a tool for Mendelian disease gene discovery
Bamshad, M. J., Ng, S. B. H., Bigham, A. W., Tabor, H. K., Emond, M. J., Nickerson, D. A., & Shendure, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3031 · Cited by 1,744
Diagnostic exome sequencing in persons with severe intellectual disability
de Ligt, J., Willemsen, M. H., van Bon, B. W. M., Kleefstra, T., Yntema, H. G., Kroes, T., Vulto-van Silfhout, A. T., Koolen, D. A., de Vries, P., Gilissen, C., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1206524 · Cited by 1,546
De novo mutations in epileptic encephalopathies
Epi4K Consortium, & Epilepsy Phenome/Genome Project (2013) · Nature · doi:10.1038/nature12439 · Cited by 1,514
Worthey, E., Mayer, A. N., Syverson, G., Helbling, D., Bonacci, B. B., Decker, B., Serpe, J. M., Dasu, T., Tschannen, M., Veith, R., et al. (2011) · Genetics in Medicine · doi:10.1097/gim.0b013e3182088158 · Cited by 704
Statistical Considerations in the Intent-to-Treat Principle
Lachin, J. M. (2000) · Controlled Clinical Trials · doi:10.1016/s0197-2456(00)00046-5 · Cited by 652
Invited article: an MRI-based approach to the diagnosis of white matter disorders
Schiffmann, R., & van der Knaap, M. S. (2009) · Neurology · doi:10.1212/01.wnl.0000343049.00540.c8 · Cited by 553
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Vanderver A, 2014, GeneReviews
Cited by
Sorted by citations
Items 101–145 of 145
Adult-Onset Genetic Leukoencephalopathies With Movement Disorders
Fu, M., & Chang, Y. (2023) · Journal of Movement Disorders · doi:10.14802/jmd.22127 · Cited by 4
Insight into Genetic Mutations of SZT2: Is It a Syndrome?
Muthaffar, O. Y., Jan, M. M., Alyazidi, A. S., Alotibi, T. K., & Alsulami, E. A. (2023) · Biomedicines · doi:10.3390/biomedicines11092402 · Cited by 4
Utility of genetic testing in children with leukodystrophy
Zerem, A., Libzon, S., Ben‐Sira, L., Meirson, H., Hausman‐Kedem, M., Haviv, N., Yosovich, K., Mory, A., Feldman, H. B., Lev, D., et al. (2023) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2023.05.008 · Cited by 4
Early Signs and Symptoms of Leukodystrophies: A Case-Based Guide
Ruzhnikov, M. R. Z., Brimble, E., Hickey, R. E., & on behalf of the Leukodystrophy Care Network (2021) · Pediatrics in Review · doi:10.1542/pir.2019-0184 · Cited by 3
Baalmann, N., Spielmann, M., Gillessen‐Kaesbach, G., Hanker, B., Schmidt, J., Lill, C. M., Hellenbroich, Y., Greiten, B., Lohmann, K., Trinh, J., et al. (2023) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2023.104774 · Cited by 3
Self-citationIn-silico phenotype prediction by normal mode variant analysis in TUBB4A-related disease
Fellner, A., Goldberg, Y., Lev, D., Basel‐Salmon, L., Shor, O., & Benninger, F. (2022) · Scientific Reports · doi:10.1038/s41598-021-04337-x · Cited by 3
Wongkittichote, P., Mar, S., McKinstry, R. C., & Nguyen, H. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.893057 · Cited by 2
Sell, L., Zabel, C., Grønborg, S. W., Shi, Q., & Bhat, M. (2025) · Journal of Neuroscience Research · doi:10.1002/jnr.70040 · Cited by 2
Comprehensive genotype-phenotype analysis in POLR3-related disorders
Michell‐Robinson, M. A., Perrier, S., Gauthier, S., Derksen, A., Sabbagh, Q., Girbig, M., Misiaszek, A. D., Pizzino, A. M., Renaud, D. L., Pereira, D. D. A., et al. (2025) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2025.100481 · Cited by 2
Self-citationImproved genomic characterization of a clinically heterogeneous pediatric cohort with WGS vs. WES
Brashear, A., Gustafson, A. G., Quitadamo, A., Evangelista, E. G., Quinn, D., Strom, S. P., Snyder, H. L., Longoni, M., & Shazand, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-21421-8 · Cited by 2
Expanding genetic and clinical spectra of β-tubulinopathies: A Korean study
Hwang, S., Bae, H., Kim, D., Yum, M., Kim, M., Yoon, J., Kim, J. H., Seo, G. H., Kim, G.-H., Do, H., et al. (2025) · Journal of Human Genetics · doi:10.1038/s10038-025-01421-2 · Cited by 2
Dincer, Y., Schulz, J., Wilson, S., Marschall, C., Cohen, M. Y., Mall, V., Klein, H., & Eck, S. H. (2018) · Journal of Laboratory Medicine · doi:10.1515/labmed-2017-0072 · Cited by 1
Zhang, F., Guo, H., Zhou, X., Deng, Z., Xu, Q., Wang, Q., Yuan, H., & Luo, J. (2024) · BMC Pediatrics · doi:10.1186/s12887-024-04674-6 · Cited by 2
Manisha, K. Y., Fasaludeen, A., Poulose, P., Menon, R. N., Thomas, B., Nair, S. S., Cherian, A., Divya, K. P., & Sundaram, S. (2024) · Neurology Genetics · doi:10.1212/nxg.0000000000200190 · Cited by 2
Amino-acyl tRNA synthetases associated with leukodystrophy
Engelen, M., van der Knaap, M. S., & Wolf, N. I. (2024) · Handbook of clinical neurology · doi:10.1016/b978-0-323-99209-1.00020-x · Cited by 2
Self-citationPhenotype and Genotype of Children with ALS2 gene-Related Disorder
Yoganathan, S., Kumar, M., Aaron, R., Rangan, S., Umakant, S. B., Thomas, M., Oommen, S. P., & Danda, S. (2024) · Neuropediatrics · doi:10.1055/s-0044-1791256 · Cited by 2
Solmaz, A. E., Parıltay, E., Talim, B., & Önay, H. (2021) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2021.107039 · Cited by 2
Akbari, M., Tapeh, Z. E., Zaersabet, M., Rahimi, H., & Ganji, M. (2023) · Egyptian Journal of Medical Human Genetics · doi:10.1186/s43042-023-00393-2 · Cited by 2
Identification of a Novel Non-Canonical Splice-Site Variant in ABCD1
Zheng, F., Lin, Z., Hu, Y., Shi, X., Zhao, Q., & Lin, Z. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12020473 · Cited by 1
Ahmad, N., Aleem, T., Liu, C., Rashid, M., Tehreem, J., Junaid, M. A. M., Asif, M. F., Ullah, S., Ullah, S., Afridi, T. U. K., et al. (2026) · European Journal of Human Genetics · doi:10.1038/s41431-026-02182-y · Cited by 1
Nikam, V., & Naushad, S. M. (2021) · Journal of Genetics · doi:10.1007/s12041-021-01308-z · Cited by 1
A TUBB4A Met363Thr variant in pediatric hypomyelination without atrophy of the basal ganglia
Hashiguchi, M., Monden, Y., Nozaki, Y., Watanabe, K., Nakashima, M., Saitsu, H., Yamagata, T., & Osaka, H. (2022) · Human Genome Variation · doi:10.1038/s41439-022-00198-6 · Cited by 1
Approaches to diagnosis for individuals with a suspected inherited white matter disorder
Helman, G., Orthmann‐Murphy, J. L., & Vanderver, A. L. (2024) · Handbook of clinical neurology · doi:10.1016/b978-0-323-99209-1.00009-0 · Cited by 1
Self-citationRogujski, P., Gewartowska, M., Fiedorowicz, M., Frontczak‐Baniewicz, M., Sanford, J., Walczak, P., Janowski, M., Łukomska, B., & Stanaszek, L. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910580 · Cited by 1
Teaching NeuroImages: Atrophy in epileptic encephalopathy
Helbig, I., & Adang, L. A. (2018) · Neurology · doi:10.1212/wnl.0000000000004884 · Cited by 1
Friedrichsdorf, S. J. (2019) · MDPI eBooks · doi:10.3390/books978-3-03897-351-5 · Cited by 2
Pitfalls in Genetic Diagnostics: Why Phenotyping is Essential
Gburek‐Augustat, J., Schoene‐Bake, J., Bültmann, E., Haack, T. B., Buchert, R., Synofzik, M., Biskup, S., Feuerhake, F., Sorge, I., & Hartmann, H. (2021) · Neuropediatrics · doi:10.1055/s-0041-1726306 · Cited by 1
Cherian, A., Divya, K. P., Pavuluri, H., & Thomas, B. (2021) · Journal of Pediatric Neurosciences · doi:10.4103/jpn.jpn_128_20 · Cited by 1
Novel brain white matter disorders and their genetic causes
Kevelam, S. H. (2016) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)
de Paiva, A. R. B. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2019.tde-16102019-142301
Mahdieh, N., Soveizi, M., Tavasoli, A. R., Rabbani, A., Ashrafi, M. R., Kohlschütter, A., & Rabbani, B. (2020) · Research Square · doi:10.21203/rs.3.rs-93329/v1
Greenwood, R. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733218678.793555801
[Research advances in the clinical genetics of leukodystrophy in children].
Huang, Z.-L., & Zhou, W. (2022) · PubMed Central · doi:10.7499/j.issn.1008-8830.2202020
Teaching NeuroImages: Atrophy in epileptic encephalopathy
Helbig, I., & Adang, L. A. (2023) · Neurology · doi:10.1212/wnl.0000000000206922
Gärtner, J., & Schröder, S. (2023) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2023.06.012
Pelizaeus disease Merzbacher like: About an observation
IRINEU, F. E., LACHRAF, H., Rhouda, H., Zouiri, G., Moussaoui, S. E., Laji, H., TALBAOUI, H., DAHRI, S., Chabraoui, L., & Kriouile, Y. (2024) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2024.22.1.1024
Loos, M. A., Juanes, M., Gallo, A., Martín, M., Reyes, G., Veneruzzo, G., Rugilo, C., Alonso, C. N., & Caraballo, R. H. (2024) · Journal of Pediatric Epilepsy · doi:10.1055/s-0044-1787753
Scorrano, G., Barcia, G., Champ, J., Courtin, T., Boddaert, N., Kamińska, A., Chémaly, N., & Nabbout, R. (2025) · Epilepsia Open · doi:10.1002/epi4.13133
Banerjee, S., Berry, Y., Fisher, E., & Thummel, R. (2025) · Neuroscience Letters · doi:10.1016/j.neulet.2025.138280 · Cited by 1
Movement Disorders in CSF1R-Related Leukoencephalopathy: A Case Series
Kamble, N. L., Harishma, R. S., Holla, V. V., Prasad, S., Saini, J. S., & Pal, P. K. (2025) · Annals of Indian Academy of Neurology · doi:10.4103/aian.aian_51_25
Savy, S., Montes, F. A., Grosso, C. L., Laróvere, L. E., Silvera-Ruiz, S. M., Carro, G. H., Guelbert, G., Becerra, A., Morales, D., & Nicola, J. P. (2025) · Frontiers in Genetics · doi:10.3389/fgene.2025.1688885
Schobers, G., Schieving, J. H., Yntema, H. G., Pennings, M., Pfundt, R., Derks, R. C., Hofste, T. G. J., de Wijs, I. J., Wieskamp, N., van den Heuvel, S., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20088152
Hassan, A. O., Arrab, R., Benchehab, Y., Ammari, I. A., & Dini, N. (2026) · Cureus · doi:10.7759/cureus.102687
Sell, L. B., Garcia, D., Hollá, A., Chilton, I. T., Devries, S. P., Gómez-Moreno, A. M., Lubián-Gutiérrez, M., Shi, Q., & Bhat, M. A. (2026) · Muscle & Nerve · doi:10.1002/mus.70160
Karandikar, S., Sevagamoorthy, A., Zimmerman, D., D’Aiello, R., Dorfschmidt, L., Cyr, K., Jung, B., Levitis, E., Adang, L. A., Arnold, K., et al. (2026) · medRxiv · doi:10.64898/2026.05.22.26353512 · Cited by 1
Self-citation
Metadata
- Authors
- Vanderver, A., Simons, C., Helman, G., Crawford, J., Wolf, N. I., Bernard, G., Pizzino, A., Schmidt, J. L., Takanohashi, A., Miller, D., Khouzam, A., Rajan, V., Ramos, E., Chowdhury, S., Hambuch, T., Ru, K., Baillie, G. J., Grimmond, S. M., Caldovic, L., Devaney, J., Bloom, M., Evans, S. H., Murphy, J. L. P., McNeill, N., Fogel, B. L., the Leukodystrophy Study Group, Schiffmann, R., van der Knaap, M. S., & Taft, R. J.
- Affiliations
- Children's National (US)
- The University of Queensland (AU)
- Amsterdam Neuroscience (NL)
- Montreal Children's Hospital (CA)
- Illumina (United States) (US)
- Institute for Metabolic Disease Baylor Research Institute Dallas TX
- University of California, Los Angeles (US)
- Corresponding author
- Vanderver, Adeline
- Simons, Cas
- ORCID
- Vanderver, Adeline
- Simons, Cas
- Helman, Guy
- Crawford, Joanna
- Wolf, Nicole I.
- Bernard, Geneviève
- Pizzino, Amy
- Schmidt, Johanna L.
- Takanohashi, Asako
- Ramos, Erica
- Chowdhury, Shimul
- Hambuch, Tina
- Baillie, Gregory J.
- Grimmond, Sean M.
- Caldovic, Ljubica
- Devaney, Joseph
- Evans, Sarah H.
- Murphy, Jennifer L. P.
- McNeill, Nathan
- Fogel, Brent L.
- Schiffmann, Raphael
- van der Knaap, Marjo S.
- Taft, Ryan J.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2016-05-09
- Volume
- 79
- Issue
- 6
- Pages
- 1031-1037
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC5354169
- OpenAlex
- W2346093359
- Cited by
- 145
- References
- 36
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 12 · 2023: 17 · 2022: 13 · 2021: 21 · 2020: 16 · 2019: 17 · 2018: 22 · 2017: 11 · 2016: 2
- FWCI
- 14.00
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Funders
- Santé
- Australian Research Council
- National Health and Medical Research Council (APP1068278)
- ZonMw (91211005)
- National Institute of Mental Health (K08MH086297)
- National Institute of Neurological Disorders and Stroke (R01NS082094)
- National Center for Advancing Translational Sciences (UL1TR000075)
- Myelin Project
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Hereditary Neurological Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
- Keywords
- white matter abnormalities, leukodystrophy, pathogenic variants, trio exome sequencing, genetic diagnosis, hereditary leukodystrophy
- MeSH terms
- Adolescent, Adult, Child, Child, Preschool, DNA Mutational Analysis, Female, Humans, Male, Mutation, Young Adult, Leukoencephalopathies, Exome, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review