ArticleNucleic acids research2024
Human pangenome analysis of sequences missing from the reference genome reveals their widespread evolutionary, phenotypic, and functional roles.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- PanGraphRNA: An efficient and flexible bioinformatics platform for graph pangenome-based RNA-seq data analysis.Journal of integrative plant biology · 2026Article
- From structural pangenomes to functional panomics in plants.Molecular biology and evolution · 2026Review
- A genomic approach for accurate identification of closely related species with next-generation sequencing samples.Scientific reports · 2026Article
- Dynamics of genome evolution in the era of pangenome analysis.Cell genomics · 2026Review
- Article
- The highly dynamic pangenome of basal chordates is enriched in defence and immunity genes and is inherited following the Mendelian law.PLoS genetics · 2025Article
- Advancing clinical genomics with Middle Eastern and South Asian pangenomes.Nature medicine · 2025Article
- Pangenome graphs and their applications in biodiversity genomics.Nature genetics · 2025Review
- Beyond single references: pangenome graphs and the future of genomic medicine.Frontiers in genetics · 2025Review
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Authors and funding
8 authors.
Funding
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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