Brain MR Imaging Findings and Associated Outcomes in Carriers of the Reciprocal Copy Number Variation at 16p11.2
Abstract
Purpose To identify developmental neuroradiologic findings in a large cohort of carriers who have deletion and duplication at 16p11.2 (one of the most common genetic causes of autism spectrum disorder [ASD]) and assess how these features are associated with behavioral and cognitive outcomes. Materials and Methods Seventy-nine carriers of a deletion at 16p11.2 (referred to as deletion carriers; age range, 1–48 years; mean age, 12.3 years; 42 male patients), 79 carriers of a duplication at 16p11.2 (referred to as duplication carriers; age range, 1–63 years; mean age, 24.8 years; 43 male patients), 64 unaffected family members (referred to as familial noncarriers; age range, 1–46 years; mean age, 11.7 years; 31 male participants), and 109 population control participants (age range, 6–64 years; mean age, 25.5 years; 64 male participants) were enrolled in this cross-sectional study. Participants underwent structural magnetic resonance (MR) imaging and completed cognitive and behavioral tests. MR images were reviewed for development-related abnormalities by neuroradiologists. Differences in frequency were assessed with a Fisher exact test corrected for multiple comparisons. Unsupervised machine learning was used to cluster radiologic features and an association between clusters and cognitive and behavioral scores from IQ testing, and parental measures of development were tested by using analysis of covariance. Volumetric analysis with automated segmentation was used to confirm radiologic interpretation. Results For deletion carriers, the most prominent features were dysmorphic and thicker corpora callosa compared with familial noncarriers and population control participants (16%; P < .001 and P < .001, respectively) and a greater likelihood of cerebellar tonsillar ectopia (30.7%; P < .002 and P < .001, respectively) and Chiari I malformations (9.3%; P < .299 and P < .002, respectively). For duplication carriers, the most salient findings compared with familial noncarriers and population control participants were reciprocally thinner corpora callosa (18.6%; P < .003 and P < .001, respectively), decreased white matter volume (22.9%; P < .001, and P < .001, respectively), and increased ventricular volume (24.3%; P < .001 and P < .001, respectively). By comparing cognitive assessments to imaging findings, the presence of any imaging feature associated with deletion carriers indicated worse daily living, communication, and social skills compared with deletion carriers without any radiologic abnormalities (P < .005, P < .002, and P < .004, respectively). For the duplication carriers, presence of decreased white matter, callosal volume, and/or increased ventricle size was associated with decreased full-scale and verbal IQ scores compared with duplication carriers without these findings (P < .007 and P < .004, respectively). Conclusion In two genetically related cohorts at high risk for ASD, reciprocal neuroanatomic abnormalities were found and determined to be associated with cognitive and behavioral impairments. © RSNA, 2017 Online supplemental material is available for this article.
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
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?
16p11.2 duplications have reduced cortical thickness, reduced hippocampal volume, and enlarged ventricles.
“16p11.2 duplications also have the reduced cortical thickness [14, 23], reduced hippocampal volume [49] and enlarged ventricles [50, 53, 55].”
From 16p11.2 Copy Number Variations and Neurodevelopmental Disorders (2020) · cites this paper as [53]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Christensen, D. L., Baio, J., Braun, K. V. N., Bilder, D., Charles, J., Constantino, J. N., Daniels, J., Durkin, M. S., Fitzgerald, R. T., Kurzius-Spencer, M., et al. (2016) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6503a1 · Cited by 1,964 · see citing works
Microduplications of 16p11.2 are associated with schizophrenia
Wellcome Trust Case Control Consortium, McCarthy, S. E., Makarov, V., Kirov, G., Addington, A. M., McClellan, J., Yoon, S., Perkins, D. O., Dickel, D. E., Kusenda, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.474 · Cited by 711 · see citing works
A 600 kb deletion syndrome at 16p11.2 leads to energy imbalance and neuropsychiatric disorders
Zufferey, F., Sherr, E. H., Beckmann, N. D., Hanson, E., Maillard, A. M., Hippolyte, L., Macé, A., Ferrari, C., Kutalik, Z., Andrieux, J., et al. (2012) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2012-101203 · Cited by 326 · see citing works
Self-citationAberrant white matter microstructure in children with 16p11.2 deletions
Owen, J. P., Chang, Y. S., Pojman, N. J., Bukshpun, P., Wakahiro, M. L. J., Marco, E. J., Berman, J. I., Spiro, J. E., Chung, W. K., Buckner, R. L., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4495-13.2014 · Cited by 113 · see citing works
Self-citationCommon variant at 16p11.2 conferring risk of psychosis
Steinberg, S., de Jong, S., Mattheisen, M., Costas, J., Demontis, D., Jamain, S., Pietiläinen, O. P. H., Lin, K., Papiol, S., Huttenlocher, J., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2012.157 · Cited by 104 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
16p11.2 Copy Number Variations and Neurodevelopmental Disorders
Rein, B., & Yan, Z. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.09.001 · Cited by 160 · see citing works
Kumar, V. J., Grissom, N. M., McKee, S. E., Schoch, H., Bowman, N., Havekes, R., Kumar, M., Pickup, S., Poptani, H., Reyes, T. M., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0157-z · Cited by 54 · see citing works
- Authors
- Owen, J. P., Bukshpun, P., Pojman, N., Thieu, T., Chen, Q., Lee, J., D’Angelo, D., Glenn, O. A., Hunter, J. V., Berman, J. I., Roberts, T. P., Buckner, R., Nagarajan, S. S., Mukherjee, P., & Sherr, E. H.
- Affiliations
- Children's Hospital of Philadelphia (US)
- Columbia University (US)
- ORCID
- Venue
- Radiology
- Published
- 2018-01
- Volume
- 286
- Issue
- 1
- Pages
- 217-226
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2743813396
- Cited by
- 40
- References
- 5
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 6 · 2023: 4 · 2022: 1 · 2021: 8 · 2020: 6 · 2019: 6 · 2018: 3 · 2017: 1
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Simons Foundation (SFARI A118077)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Keywords
- 16p11.2, copy number variation, autism spectrum disorder, corpus callosum thickness, Chiari I malformation, white matter volume, cognitive and behavioral outcomes, IQ, brain MRI findings, volumetric analysis
- MeSH terms
- Adolescent, Adult, Autistic Disorder, Brain, Child, Child, Preschool, Chromosome Deletion, Chromosomes, Human, Pair 16, Cross-Sectional Studies, Female, Humans, Infant, Magnetic Resonance Imaging, Male, Intellectual Disability, Middle Aged, Cluster Analysis, Gene Deletion, Gene Duplication, Chromosome Disorders, Young Adult, DNA Copy Number Variations
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