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Open AccessJournal ArticleDOI

Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Ida E Sønderby, +196 more
- 01 Mar 2020 - 
- Vol. 25, Iss: 3, pp 584-602
TLDR
This is the first brain MRI study of the impact of the 16p11.2 distal CNV, and it is demonstrated a specific effect on subcortical brain structures, suggesting a neuropathological pattern underlying the neurodevelopmental syndromes.
Abstract
Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = -0.71 to -1.37; P < 0.0005). In an independent sample, consistent results were obtained, with significant effects in the pallidum (β = -0.95, P = 0.0042). The two data sets combined showed significant negative dose-response for the accumbens, caudate, pallidum, putamen and ICV (P = 0.0032, 8.9 × 10-6, 1.7 × 10-9, 3.5 × 10-12 and 1.0 × 10-4, respectively). Full scale IQ was lower in both deletion and duplication carriers compared to non-carriers. This is the first brain MRI study of the impact of the 16p11.2 distal CNV, and we demonstrate a specific effect on subcortical brain structures, suggesting a neuropathological pattern underlying the neurodevelopmental syndromes.

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Journal ArticleDOI

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

Paul M. Thompson, +213 more
TL;DR: This review summarizes the last decade of work by the ENIGMA Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease, and highlights the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings.

Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Christian R. Marshall, +262 more
TL;DR: A centralized analysis pipeline was applied to a SCZ cohort of 21,094 cases and 20,227 controls and Suggestive support was found for eight additional candidate susceptibility and protective loci, which consisted predominantly of CNVs mediated by nonallelic homologous recombination.
Journal ArticleDOI

Brain Imaging Genomics: Integrated Analysis and Machine Learning

TL;DR: This work provides an up-to-date and comprehensive review of statistical and machine learning methods for brain imaging genomics, as well as a practical discussion on method selection for various biomedical applications.
Journal ArticleDOI

Association of Copy Number Variation of the 15q11.2 BP1-BP2 Region With Cortical and Subcortical Morphology and Cognition

Dennis van der Meer, +157 more
- 01 Apr 2020 - 
TL;DR: Findings from the largest CNV neuroimaging study to date provide evidence that 15q11.2 BP1-BP2 structural variation is associated with brain morphology and cognition, with deletion carriers being particularly affected.
Journal ArticleDOI

16p11.2 Copy Number Variations and Neurodevelopmental Disorders.

TL;DR: Mice with 16p11.2 deletions or duplications recapitulate many core behavioral phenotypes, including social and cognitive deficits, and exhibit altered synaptic function across various brain areas, which is associated with a range of neurodevelopmental disorders.
References
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PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

TL;DR: PennCNV, a hidden Markov model (HMM) based approach, is presented for kilobase-resolution detection of CNVs from Illumina high-density SNP genotyping data, demonstrating the feasibility of whole-genome fine-mapping ofCNVs via high- density SNP genotypesing.
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