Publications by authors named "Nadine Younis"

Introduction: Rare copy number variants (CNVs) and polygenic risk for intelligence (PRS-IQ) both confer susceptibility for autism spectrum disorder (ASD) but have opposing effects on cognitive ability. The field has struggled to disentangle the effects of these two classes of genomic variants on cognitive ability from their effects on ASD susceptibility, in part because previous studies did not include controls with cognitive measures. We aim to investigate the impact of these genomic variants on ASD risk while adjusting for their known effects on cognitive ability.

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Asymmetry between the left and right hemisphere is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variants, which typically exert small effects on brain-related phenotypes.

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Rare copy number variants (CNVs) and polygenic risk for intelligence (PRS-IQ) both confer risk for autism spectrum disorder (ASD) but have opposing effects on cognitive ability. The field has struggled to disentangle the effects of these two classes of genomic variants on cognitive ability from their effects on ASD risk, in part because previous studies did not include controls with cognitive measures. We aim to investigate the impact of these genomic variants on ASD risk while adjusting for their known effects on cognitive ability.

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Article Synopsis
  • CNVs are genetic variations that increase the risk of neurodevelopmental and psychiatric disorders, including autism and schizophrenia, impacting brain structures differently based on the specific CNV type.
  • A study was conducted using harmonized protocols on 675 CNV carriers and 782 controls, revealing that all CNVs affected subcortical brain structures like the hippocampus and amygdala, with unique subregional changes identifiable through shape analyses.
  • The results indicate that CNVs have varied effects on brain volume and cognition, with some clustering around adult-onset disorders while others align with autism, enhancing our understanding of the relationship between genetics and neuropsychiatric conditions.
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Asymmetry between the left and right brain is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variant studies, which typically exert small effects on brain phenotypes.

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Article Synopsis
  • CNVs (Copy number variants) are linked to multiple neurodevelopmental and psychiatric disorders, with this study investigating how different CNVs impact subcortical brain structures across various conditions like autism and schizophrenia.
  • Nine out of eleven studied CNVs showed effects on subcortical structure volumes, particularly in the hippocampus and amygdala, with certain CNVs correlated to cognitive effects and disease risks.
  • The research revealed distinct patterns in the impact of CNVs, suggesting that some are more associated with adult disorders and others with conditions like autism, offering new insights into the variability in neuropsychiatric disorders linked to genetic factors.
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Copy number variations (CNVs) are rare genomic deletions and duplications that can affect brain and behaviour. Previous reports of CNV pleiotropy imply that they converge on shared mechanisms at some level of pathway cascades, from genes to large-scale neural circuits to the phenome. However, existing studies have primarily examined single CNV loci in small clinical cohorts.

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Article Synopsis
  • The study investigates how different genetic factors, including oligogenic and polygenic variants, affect brain connectivity related to psychiatric disorders, aiming to better understand these complex relationships.
  • The research utilized resting-state functional MRI data from multiple datasets, conducting extensive connectome-wide association studies on various genetic risk factors and psychiatric conditions involving thousands of subjects.
  • Results showed that the impact on brain connectivity is strongest with psychiatric copy number variants (CNVs), while polygenic risk scores (PRSs) had relatively low effects, highlighting the challenges posed by genetic diversity in studying psychiatric conditions.
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Pleiotropy occurs when a genetic variant influences more than one trait. This is a key property of the genomic architecture of psychiatric disorders and has been observed for rare and common genomic variants. It is reasonable to hypothesize that the microscale genetic overlap (pleiotropy) across psychiatric conditions and cognitive traits may lead to similar overlaps at the macroscale brain level such as large-scale brain functional networks.

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Many 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.

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Article Synopsis
  • Genomic copy number variants (CNVs), particularly deletions and duplications, have been linked to cognitive ability, but their specific effects on intelligence are still not fully understood, especially for duplications.
  • The study involved analyzing CNVs from over 24,000 individuals and used statistical models to show that deletions decrease intelligence more significantly than duplications, with certain genes being intolerant to haploinsufficiency playing a key role.
  • The findings indicate that while a small fraction of genes has a significant negative impact on intelligence, the overall effects on cognition may stem from complex interactions within the genome rather than just a few specific pathways.
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