AI Article Synopsis

  • * Of these NRSs, 29.7% were new discoveries, with 38.7% shared among five populations and 35.6% unique to specific ones, revealing a rich diversity in human genetics.
  • * The findings linked several NRSs to gene expression and potential health issues, such as metabolism and type 2 diabetes, enhancing our understanding of genetic variation and its implications for future research.

Article Abstract

Nonreference sequences (NRSs) are DNA sequences present in global populations but absent in the current human reference genome. However, the extent and functional significance of NRSs in the human genomes and populations remains unclear. Here, we de novo assembled 539 genomes from five genetically divergent human populations using long-read sequencing technology, resulting in the identification of 5.1 million NRSs. These were merged into 45284 unique NRSs, with 29.7% being novel discoveries. Among these NRSs, 38.7% were common across the five populations, and 35.6% were population specific. The use of a graph-based pangenome approach allowed for the detection of 565 transcript expression quantitative trait loci on NRSs, with 426 of these being novel findings. Moreover, 26 NRS candidates displayed evidence of adaptive selection within human populations. Genes situated in close proximity to or intersecting with these candidates may be associated with metabolism and type 2 diabetes. Genome-wide association studies revealed 14 NRSs to be significantly associated with eight phenotypes. Additionally, 154 NRSs were found to be in strong linkage disequilibrium with 258 phenotype-associated SNPs in the GWAS catalogue. Our work expands the understanding of human NRSs and provides novel insights into their functions, facilitating evolutionary and biomedical researches.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954445PMC
http://dx.doi.org/10.1093/nar/gkae086DOI Listing

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