scholarly journals Neuropsychiatric copy number variants exert shared effects on human brain structure

2020 ◽  
Author(s):  
Claudia Modenato ◽  
Kuldeep Kumar ◽  
Clara Moreau ◽  
Sandra Martin-Brevet ◽  
Guillaume Huguet ◽  
...  
Keyword(s):  
Copy Number ◽  
Copy Number Variants ◽  
Brain Anatomy ◽  
Brain Volumes ◽  
Brain Morphometry ◽  
Main Gene ◽  
Psychiatric Conditions ◽  
Mirror Effects ◽  
The Uk ◽  
Meta Analyses

AbstractBackgroundCopy Number Variants (CNVs) associated with autism and schizophrenia have large effects on brain anatomy. Yet, neuroimaging studies have been conducted one mutation at a time. We hypothesize that neuropsychiatric CNVs may exert general effects on brain morphometry because they confer risk for overlapping psychiatric conditions.MethodsWe analyzed T1-weighted MRIs and characterized shared patterns on brain anatomy across 8 neuropsychiatric CNVs. Clinically ascertained samples included 1q21.1 (n=48), 16p11.2 (n=156), or 22q11.2 (n=96) and 331 non-carriers. Non-clinically ascertained samples from the UK Biobank included 1q21.1 (n=19), 16p11.2 (n=8), 22q11.2 (n=9), 15q11.2 (n=148) and 965 non-carriers. Canonical correlation analysis (CCA) and univariate models were used to interrogate brain morphometry changes across 8 CNVs.ResultsEight CNVs affect regional brain volumes along two main gene-morphometry dimensions identified by CCA. While fronto-temporal regions contributed to dimension 1, dimension 2 was driven by subcortical, parietal and occipital regions. Consistently, voxel-wise whole-brain analyses identified the same regions involved in patterns of alteration present across the 4 deletions and duplications. These neuroanatomical patterns are similar to those observed in cross-psychiatric disorder meta-analyses. Deletions and duplications at all 4 loci show mirror effects at either the global and/or the regional level.ConclusionNeuropsychiatric CNVs share neuroanatomical signatures characterized by a parsimonious set of brain dimensions. The latter may underlie the risk conferred by CNVs for a similar spectrum of neuropsychiatric conditions.

scholarly journals Effects of eight neuropsychiatric copy number variants on human brain structure

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Claudia Modenato ◽  
Kuldeep Kumar ◽  
Clara Moreau ◽  
Sandra Martin-Brevet ◽  
Guillaume Huguet ◽  
...  
Keyword(s):  
Copy Number ◽  
Copy Number Variants ◽  
Principal Component ◽  
Brain Morphology ◽  
Brain Anatomy ◽  
Brain Morphometry ◽  
Supplementary Motor Cortex ◽  
Psychiatric Conditions ◽  
Latent Dimension ◽  
Mirror Effects

AbstractMany copy number variants (CNVs) confer risk for the same range of neurodevelopmental symptoms and psychiatric conditions including autism and schizophrenia. Yet, to date neuroimaging studies have typically been carried out one mutation at a time, showing that CNVs have large effects on brain anatomy. Here, we aimed to characterize and quantify the distinct brain morphometry effects and latent dimensions across 8 neuropsychiatric CNVs. We analyzed T1-weighted MRI data from clinically and non-clinically ascertained CNV carriers (deletion/duplication) at the 1q21.1 (n = 39/28), 16p11.2 (n = 87/78), 22q11.2 (n = 75/30), and 15q11.2 (n = 72/76) loci as well as 1296 non-carriers (controls). Case-control contrasts of all examined genomic loci demonstrated effects on brain anatomy, with deletions and duplications showing mirror effects at the global and regional levels. Although CNVs mainly showed distinct brain patterns, principal component analysis (PCA) loaded subsets of CNVs on two latent brain dimensions, which explained 32 and 29% of the variance of the 8 Cohen’s d maps. The cingulate gyrus, insula, supplementary motor cortex, and cerebellum were identified by PCA and multi-view pattern learning as top regions contributing to latent dimension shared across subsets of CNVs. The large proportion of distinct CNV effects on brain morphology may explain the small neuroimaging effect sizes reported in polygenic psychiatric conditions. Nevertheless, latent gene brain morphology dimensions will help subgroup the rapidly expanding landscape of neuropsychiatric variants and dissect the heterogeneity of idiopathic conditions.

scholarly journals Schizophrenia-associated genomic copy number variants and subcortical brain volumes in the UK Biobank

2019 ◽  
Vol 25 (4) ◽  
pp. 854-862 ◽  
Author(s):  
Anthony Warland ◽  
Kimberley M. Kendall ◽  
Elliott Rees ◽  
George Kirov ◽  
Xavier Caseras
Keyword(s):  
Copy Number ◽  
Copy Number Variants ◽  
Uk Biobank ◽  
Brain Volumes ◽  
Genomic Copy Number ◽  
Subcortical Brain ◽  
Genomic Copy ◽  
The Uk

scholarly journals Schizophrenia-associated genomic copy number variants and subcortical brain volumes in the UK Biobank

2018 ◽  
Author(s):  
Anthony Warland ◽  
Kimberley M Kendall ◽  
Elliott Rees ◽  
George Kirov ◽  
Xavier Caseras
Keyword(s):  
Copy Number ◽  
Copy Number Variants ◽  
Risk Groups ◽  
Clinical Samples ◽  
Uk Biobank ◽  
Subcortical Structures ◽  
Brain Volumes ◽  
Subcortical Brain ◽  
Heritable Disorder ◽  
The Uk

AbstractSchizophrenia is a highly heritable disorder for which anatomical brain alterations have been repeatedly reported in clinical samples. Unaffected at-risk groups have also been studied in an attempt to identify brain changes that do not reflect reverse causation or treatment effects. However, no robust associations have been observed between neuroanatomical phenotypes and known genetic risk factors for schizophrenia. We tested subcortical brain volume differences between 49 unaffected participants carrying at least one of the 12 copy number variants associated with schizophrenia in UK Biobank and 9,063 individuals who did not carry any of the 93 copy number variants reported to be pathogenic. Our results show that CNV carriers have reduced volume in some of the subcortical structures previously shown to be reduced in schizophrenia. Moreover, these associations were partially accounted for by the association between pathogenic copy number variants and cognitive impairment, which is one of the features of schizophrenia.

scholarly journals Effects of genomic copy number variants penetrant for schizophrenia on cortical thickness and surface area in healthy individuals: analysis of the UK Biobank

2020 ◽  
pp. 1-8
Author(s):  
Xavier Caseras ◽  
George Kirov ◽  
Kimberley M. Kendall ◽  
Elliott Rees ◽  
Sophie E. Legge ◽  
...  
Keyword(s):  
Surface Area ◽  
Cortical Thickness ◽  
Copy Number ◽  
Copy Number Variants ◽  
Brain Anatomy ◽  
Carrier Status ◽  
Uk Biobank ◽  
Risk Alleles ◽  
The Uk ◽  
The Impact

Background Schizophrenia is a highly heritable disorder with undetermined neurobiological causes. Understanding the impact on brain anatomy of carrying genetic risk for the disorder will contribute to uncovering its neurobiological underpinnings. Aims To examine the effect of rare copy number variants (CNVs) associated with schizophrenia on brain cortical anatomy in a sample of unaffected participants from the UK Biobank. Method We used regression analyses to compare cortical thickness and surface area (total and across gyri) between 120 unaffected carriers of rare CNVs associated with schizophrenia and 16 670 participants without any pathogenic CNV. A measure of cortical thickness and surface area covariance across gyri was also compared between groups. Results Carrier status was associated with reduced surface area (β = −0.020 mm2, P < 0.001) and less robustly with increased cortical thickness (β = 0.015 mm, P = 0.035), and with increased covariance in thickness (carriers z = 0.31 v. non-carriers z = 0.22, P < 0.0005). Associations were mainly present in frontal and parietal areas and driven by a limited number of rare risk alleles included in our analyses (mainly 15q11.2 deletion for surface area and 16p13.11 duplication for thickness covariance). Conclusions Results for surface area conformed with previous clinical findings, supporting surface area reductions as an indicator of genetic liability for schizophrenia. Results for cortical thickness, though, argued against its validity as a potential risk marker. Increased structural thickness covariance across gyri also appears related to risk for schizophrenia. The heterogeneity found across the effects of rare risk alleles suggests potential different neurobiological gateways into schizophrenia's phenotype.

M57 THE IMPACT OF COPY NUMBER VARIANTS ON BRAIN MORPHOMETRY

2019 ◽  
Vol 29 ◽  
pp. S196-S197
Author(s):  
Claudia Modenato ◽  
Kuldeep Kumar ◽  
Clara Moreau ◽  
Eloi Gagnon ◽  
Catherine Schramm ◽  
...  
Keyword(s):  
Copy Number ◽  
Copy Number Variants ◽  
Brain Morphometry ◽  
The Impact

scholarly journals Cognitive performance and functional outcomes of carriers of pathogenic copy number variants: analysis of the UK Biobank

2019 ◽  
Vol 214 (5) ◽  
pp. 297-304 ◽  
Author(s):  
Kimberley M. Kendall ◽  
Matthew Bracher-Smith ◽  
Harry Fitzpatrick ◽  
Amy Lynham ◽  
Elliott Rees ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Neurodevelopmental Disorders ◽  
Copy Number ◽  
Copy Number Variants ◽  
Autism Spectrum ◽  
Cognitive Test ◽  
Carrier Status ◽  
Cognitive Tests ◽  
Uk Biobank ◽  
The Uk

BackgroundRare copy number variants (CNVs) are associated with risk of neurodevelopmental disorders characterised by varying degrees of cognitive impairment, including schizophrenia, autism spectrum disorder and intellectual disability. However, the effects of many individual CNVs in carriers without neurodevelopmental disorders are not yet fully understood, and little is known about the effects of reciprocal copy number changes of known pathogenic loci.AimsWe aimed to analyse the effect of CNV carrier status on cognitive performance and measures of occupational and social outcomes in unaffected individuals from the UK Biobank.MethodWe called CNVs in the full UK Biobank sample and analysed data from 420 247 individuals who passed CNV quality control, reported White British or Irish ancestry and were not diagnosed with neurodevelopmental disorders. We analysed 33 pathogenic CNVs, including their reciprocal deletions/duplications, for association with seven cognitive tests and four general measures of functioning: academic qualifications, occupation, household income and Townsend Deprivation Index.ResultsMost CNVs (24 out of 33) were associated with reduced performance on at least one cognitive test or measure of functioning. The changes on the cognitive tests were modest (average reduction of 0.13 s.d.) but varied markedly between CNVs. All 12 schizophrenia-associated CNVs were associated with significant impairments on measures of functioning.ConclusionsCNVs implicated in neurodevelopmental disorders, including schizophrenia, are associated with cognitive deficits, even among unaffected individuals. These deficits may be subtle but CNV carriers have significant disadvantages in educational attainment and ability to earn income in adult life.Declaration of interestNone.

scholarly journals The individual and global impact of copy number variants on complex human traits

2021 ◽  
Author(s):  
Chiara Auwerx ◽  
Maarja Lepamets ◽  
Marie C. Sadler ◽  
Marion Patxot ◽  
Milos Stojanov ◽  
...  
Keyword(s):  
Complex Traits ◽  
Copy Number ◽  
Critical Role ◽  
Copy Number Variants ◽  
Renal Cysts ◽  
Copy Number Variations ◽  
Female Reproduction ◽  
The Individual ◽  
The Uk ◽  
Complex Human Traits

Copy number variations (CNVs) have been involved in multiple genomic disorders but their impact on complex traits remains understudied. We called CNVs in the UK Biobank and performed genome-wide association scans (GWASs) between the copy-number of CNV-proxy probes and 57 continuous traits, revealing 131 signals spanning 47 phenotypes. Our analysis recapitulated well-known associations (1q21 and height), revealed the pleiotropy of recurrent CNVs (26 traits for 16p11.2-BP4-BP5), and suggested new gene functionalities (MARF1 in female reproduction). Forty CNV signals overlapped known GWAS loci (RHD deletion and hematological traits). Conversely, others overlapped Mendelian disorder regions, suggesting variable expressivity and a broad impact of these loci, as illustrated by signals mapping to Rotor syndrome (SLCO1B1/3), renal cysts and diabetes (HNF1B), or Charcot-Marie-Tooth (PMP22) loci. The total CNV burden negatively impacted 35 traits, leading to increased adiposity, liver/kidney damage, and decreased intelligence and physical capacity. Thirty traits remained burden-associated after correcting for CNV-GWAS signals, pointing to a polygenic CNV-architecture. The burden negatively correlated with socio-economic indicators, parental lifespan, and age (survivorship proxy), suggesting that CNVs contribute to decreased longevity. Together, our results showcase how studying CNVs can reveal new biological insights, emphasizing the critical role of this mutational class in shaping complex traits.

The impact of copy number variants on brain anatomy

2019 ◽  
Vol 29 ◽  
pp. S441-S442
Author(s):  
C. Modenato ◽  
A. Pain ◽  
S. Martin-Brevet ◽  
A. Maillard ◽  
B. Rodriguez-Herreros ◽  
...  
Keyword(s):  
Copy Number ◽  
Copy Number Variants ◽  
Brain Anatomy ◽  
The Impact

scholarly journals A comprehensive analysis of copy number variation in a Turkish dementia cohort

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Nadia Dehghani ◽  
Gamze Guven ◽  
Celia Kun-Rodrigues ◽  
Catarina Gouveia ◽  
Kalina Foster ◽  
...  
Keyword(s):  
Copy Number Variation ◽  
Copy Number ◽  
Copy Number Variants ◽  
Olfactory Receptors ◽  
Chromosome 9 ◽  
Systematic Analysis ◽  
Family Analysis ◽  
Number Variation ◽  
The Uk ◽  
Genomic Regions

Abstract Background Copy number variants (CNVs) include deletions or multiplications spanning genomic regions. These regions vary in size and may span genes known to play a role in human diseases. As examples, duplications and triplications of SNCA have been shown to cause forms of Parkinson’s disease, while duplications of APP cause early onset Alzheimer’s disease (AD). Results Here, we performed a systematic analysis of CNVs in a Turkish dementia cohort in order to further characterize the genetic causes of dementia in this population. One hundred twenty-four Turkish individuals, either at risk of dementia due to family history, diagnosed with mild cognitive impairment, AD, or frontotemporal dementia, were whole-genome genotyped and CNVs were detected. We integrated family analysis with a comprehensive assessment of potentially disease-associated CNVs in this Turkish dementia cohort. We also utilized both dementia and non-dementia individuals from the UK Biobank in order to further elucidate the potential role of the identified CNVs in neurodegenerative diseases. We report CNVs overlapping the previously implicated genes ZNF804A, SNORA70B, USP34, XPO1, and a locus on chromosome 9 which includes a cluster of olfactory receptors and ABCA1. Additionally, we also describe novel CNVs potentially associated with dementia, overlapping the genes AFG1L, SNX3, VWDE, and BC039545. Conclusions Genotyping data from understudied populations can be utilized to identify copy number variation which may contribute to dementia.

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