scholarly journals Analysis of diffusion tensor imaging data from the UK Biobank confirms dosage effect of 15q11.2 copy-number variation on white matter and shows association with cognition

Author(s):  
Ana I. Silva ◽  
George Kirov ◽  
Kimberley M. Kendall ◽  
Mathew Bracher-Smith ◽  
Lawrence S. Wilkinson ◽  
...  
2020 ◽  
Author(s):  
Ana I. Silva ◽  
George Kirov ◽  
Kimberley M. Kendall ◽  
Mathew Bracher-Smith ◽  
Lawrence S. Wilkinson ◽  
...  

AbstractBackgroundCopy-number variations at the 15q11.2 BP1-BP2 locus are present in 0.5 to 1.0% of the population, and the deletion is associated with a range of neurodevelopmental disorders. Previously, we showed a reciprocal effect of 15q11.2 copy-number variation on fractional anisotropy, with widespread increases in deletion carriers. We aim to replicate and expand these findings, using a larger sample of participants (n=30,930), higher resolution imaging, and examining the implications for cognitive performance.MethodsDiffusion tensor imaging measures from participants with no neurological/psychiatric diagnoses were obtained from the UK Biobank database. We compared 15q11.2 BP1-BP2 deletion (n=103) and duplication (n=119) carriers to a large cohort of control individuals with no neuropsychiatric copy-number variants (n=29,870). Additionally, we assessed how changes in white matter mediated the association between carrier status and cognitive performance.ResultsDeletion carriers showed increases in fractional anisotropy in the internal capsule and cingulum, and decreases in the posterior thalamic radiation, compared to both duplication carriers and controls (who had intermediate values). Deletion carriers had lower scores across cognitive tasks compared to controls, which were mildly influenced by white matter alterations. Reduced fractional anisotropy in the posterior thalamic radiation partially contributed to worse cognitive performance in deletion carriers.ConclusionsThis study, together with our previous findings, provides convergent evidence for a dosage-dependent effect of 15q11.2 BP1-BP2 on white matter microstructure. Additionally, changes in white matter were found to partially mediate cognitive ability in deletion carriers, providing a link between white matter changes in 15q11.2 BP1-BP2 carriers and cognitive function.


2019 ◽  
Vol 85 (7) ◽  
pp. 563-572 ◽  
Author(s):  
Ana I. Silva ◽  
Magnus O. Ulfarsson ◽  
Hreinn Stefansson ◽  
Omar Gustafsson ◽  
G. Bragi Walters ◽  
...  

2019 ◽  
Author(s):  
Matthew Aguirre ◽  
Manuel Rivas ◽  
James Priest

AbstractCopy number variations (CNV) represent a significant proportion of the genetic differences between individuals and many CNVs associate causally with syndromic disease and clinical outcomes. Here, we characterize the landscape of copy number variation and their phenome-wide effects in a sample of 472,228 array-genotyped individuals from the UK Biobank. In addition to population-level selection effects against genic loci conferring high-mortality, we describe genetic burden from syndromic and previously uncharacterized CNV loci across nearly 2,000 quantitative and dichotomous traits, with separate analyses for common and rare classes of variation. Specifically, we highlight the effects of CNVs at two well-known syndromic loci 16p11.2 and 22q11.2, as well as novel associations at 9p23, in the context of acute coronary artery disease and high body mass index. Our data constitute a deeply contextualized portrait of population-wide burden of copy number variation, as well as a series of known and novel dosage-mediated genic associations across the medical phenome.


2020 ◽  
Author(s):  
Katherine E. Lawrence ◽  
Leila Nabulsi ◽  
Vigneshwaran Santhalingam ◽  
Zvart Abaryan ◽  
Julio E. Villalon-Reina ◽  
...  

ABSTRACTThe brain’s white matter microstructure, as assessed using diffusion-weighted MRI (DWI), changes significantly with age and also exhibits significant sex differences. Here we examined the ability of a traditional diffusivity metric (fractional anisotropy derived from diffusion tensor imaging, DTI-FA) and advanced diffusivity metrics (fractional anisotropy derived from the tensor distribution function, TDF-FA; neurite orientation dispersion and density imaging measures of intra-cellular volume fraction, NODDI-ICVF; orientation dispersion index, NODDI-ODI; and isotropic volume fraction, NODDI-ISOVF) to detect sex differences in white matter aging. We also created normative aging reference curves based on sex. Diffusion tensor imaging (DTI) applies a single-tensor diffusion model to single-shell DWI data, while the tensor distribution function (TDF) fits a continuous distribution of tensors to single-shell DWI data. Neurite orientation dispersion and density imaging (NODDI) fits a multi-compartment model to multi-shell DWI data to distinguish intra- and extra-cellular contributions to diffusion. We analyzed these traditional and advanced diffusion measures in a large population sample available through the UK Biobank (15,394 participants; age-range: 45-80 years) by using linear regression and fractional polynomials. Advanced diffusivity metrics (NODDI-ODI, NODDI-ISOVF, TDF-FA) detected significant sex differences in aging, whereas a traditional metric (DTI-FA) did not. These findings suggest that future studies examining sex differences in white matter aging may benefit from including advanced diffusion measures.


2016 ◽  
Vol 6 (10) ◽  
pp. 747-758 ◽  
Author(s):  
Sean R. McWhinney ◽  
Antoine Tremblay ◽  
Thérèse M. Chevalier ◽  
Vanessa K. Lim ◽  
Aaron J. Newman

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