AI Article Synopsis
- A subset of neocortical neurons displays complex karyotypes characterized by large copy-number variants (CNVs), which influence genetic diversity.
- Research shows significant variability in the levels of these CNV neurons across different individuals, challenging the assumption of a uniform brain genome in studies of neurological disorders.
- A newly assembled brain CNV atlas indicates that younger individuals tend to have more CNV neurons, while older individuals exhibit fewer, suggesting age impacts the frequency of these complex neurons.
Article Abstract
A subset of human neocortical neurons harbors complex karyotypes wherein megabase-scale copy-number variants (CNVs) alter allelic diversity. Divergent levels of neurons with complex karyotypes (CNV neurons) are reported in different individuals, yet genome-wide and familial studies implicitly assume a single brain genome when assessing the genetic risk architecture of neurological disease. We assembled a brain CNV atlas using a robust computational approach applied to a new dataset (>800 neurons from 5 neurotypical individuals) and to published data from 10 additional neurotypical individuals. The atlas reveals that the frequency of neocortical neurons with complex karyotypes varies widely among individuals, but this variability is not readily accounted for by tissue quality or CNV detection approach. Rather, the age of the individual is anti-correlated with CNV neuron frequency. Fewer CNV neurons are observed in aged individuals than in young individuals.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942668 | PMC |
| http://dx.doi.org/10.1016/j.celrep.2018.12.107 | DOI Listing |
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