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Chong, J. R.

Publications and source records attributed to Chong, J. R..

2 recordsLinked to original sources

Widespread structural variations at human chromosome ends

The highly repetitive regions of the human genome were long underrepresented from reference assemblies, limiting study of their biological function. Long-read sequencing and improved assembly algorithms have since resolved many of these regions, from centromeres to ribosomal DNA arrays, revealing structural variation increasingly linked to human disease. However, the subtelomeres, the repeat-rich regions adjacent to the telomeres at each chromosome end, have remained poorly characterized. Here we present a collection of complete subtelomeric sequences spanning all non-acrocentric chromosome arms, derived from 860 haploid assemblies across six ancestry groups. We find that while subtelomeres are mosaics of blocks shared between chromosome arms, individual arms diverge extensively, such that most non-acrocentric autosomal arms (54%, 21 of 39) carry multiple haplotypes differing by up to 100-200 kb. These blocks are broadly conserved across the great apes. In humans, their diversity is associated with chromosome arm rather than ancestry, suggesting that cross-arm paralogy block duplications predate human population divergence, although some haplotypes show ancestry-specific enrichment. Remarkably, these divergent haplotypes differ in gene content, driving gene copy-number variation between individuals among olfactory receptors and other genes. This study also revealed rare subtelomeric recombination. We further show that our subtelomere data set enables the accurate measurement of telomere length at individual chromosome ends from long-read data. Together, these assemblies reveal an unappreciated scale of variation at human chromosome ends and provide a resource for studying the roles of this variation in disease, telomere biology and genome evolution across diverse populations.

genomics↗

Additive effects of cerebrovascular disease functional connectome phenotype and plasma p-tau181 on longitudinal neurodegeneration and cognitive outcomes

INTRODUCTIONWe investigated the effects of multiple cerebrovascular disease (CeVD) neuroimaging markers on brain functional connectivity (FC), and how such CeVD-related FC changes interact with plasma p-tau181 (Alzheimers disease (AD) marker) to influence downstream neurodegeneration and cognitive changes. METHODSMultivariate associations between four CeVD markers and whole-brain FC in 529 participants across the dementia spectrum were examined using partial least squares correlation. Interactive effects of CeVD-related FC patterns and p-tau181 on longitudinal grey matter volume and cognitive changes were investigated using linear mixed-effects models. RESULTSWe identified a brain FC phenotype associated with high CeVD burden across all markers. Further, expression of this general CeVD-related FC phenotype and p-tau181 contributed additively, but not synergistically, to baseline and longitudinal grey matter volumes and cognitive changes. DISCUSSIONOur findings suggest that CeVD exerts global effects on the brain connectome and highlight the additive nature of AD and CeVD on neurodegeneration and cognition.

neuroscience↗