Pangenome
Catalog entries using this tag (links open the entry card on its page):
Entries
CPC
PUBMED_LINK
FULL NAME
Chinese Pangenome Consortium (phase I core)
DESCRIPTION
Phase I data from the Chinese Pangenome Consortium: 116 high-quality haplotype-phased de novo assemblies from 58 core samples across 36 minority Chinese ethnic groups (high-fidelity long-read coverage). Adds substantial novel sequence and variant discovery relative to GRCh38 and supports population-specific reference panels for Asian-ancestry genomics.
URL
KEYWORDS
pangenome; Chinese populations; long-read; haplotype; GRCh38
TITLE
A pangenome reference of 36 Chinese populations.
Main citation
Gao Y, Yang X, Chen H, Tan X, ...&, Xu S. (2023) A pangenome reference of 36 Chinese populations. Nature, 619 (7968) 112-121. doi:10.1038/s41586-023-06173-7. PMID 37316654
ABSTRACT
Human genomics is witnessing an ongoing paradigm shift from a single reference sequence to a pangenome form, but populations of Asian ancestry are underrepresented. Here we present data from the first phase of the Chinese Pangenome Consortium, including a collection of 116 high-quality and haplotype-phased de novo assemblies based on 58 core samples representing 36 minority Chinese ethnic groups. With an average 30.65× high-fidelity long-read sequence coverage, an average contiguity N50 of more than 35.63 megabases and an average total size of 3.01 gigabases, the CPC core assemblies add 189 million base pairs of euchromatic polymorphic sequences and 1,367 protein-coding gene duplications to GRCh38. We identified 15.9 million small variants and 78,072 structural variants, of which 5.9 million small variants and 34,223 structural variants were not reported in a recently released pangenome reference1. The Chinese Pangenome Consortium data demonstrate a remarkable increase in the discovery of novel and missing sequences when individuals are included from underrepresented minority ethnic groups. The missing reference sequences were enriched with archaic-derived alleles and genes that confer essential functions related to keratinization, response to ultraviolet radiation, DNA repair, immunological responses and lifespan, implying great potential for shedding new light on human evolution and recovering missing heritability in complex disease mapping.
DOI
10.1038/s41586-023-06173-7
HPRC first draft pangenome (HPRC draft)
PUBMED_LINK
FULL NAME
Human Pangenome Reference Consortium first-draft pangenome
DESCRIPTION
First-draft human pangenome from the HPRC: 47 phased diploid assemblies from diverse samples, aligned and summarized relative to GRCh38. Adds substantial euchromatic polymorphic sequence and duplicated gene content versus a single linear reference; intended for pangenome-aware alignment, variant calling, and downstream graph-based genomics (see HPRC data portal and companion software).
URL
KEYWORDS
HPRC; pangenome; graph genome; haplotypes; GRCh38
TITLE
A draft human pangenome reference.
Main citation
Liao WW, Asri M, Ebler J, Doerr D, ...&, Paten B. (2023) A draft human pangenome reference. Nature, 617 (7960) 312-324. doi:10.1038/s41586-023-05896-x. PMID 37165242
ABSTRACT
Here the Human Pangenome Reference Consortium presents a first draft of the human pangenome reference. The pangenome contains 47 phased, diploid assemblies from a cohort of genetically diverse individuals1. These assemblies cover more than 99% of the expected sequence in each genome and are more than 99% accurate at the structural and base pair levels. Based on alignments of the assemblies, we generate a draft pangenome that captures known variants and haplotypes and reveals new alleles at structurally complex loci. We also add 119 million base pairs of euchromatic polymorphic sequences and 1,115 gene duplications relative to the existing reference GRCh38. Roughly 90 million of the additional base pairs are derived from structural variation. Using our draft pangenome to analyse short-read data reduced small variant discovery errors by 34% and increased the number of structural variants detected per haplotype by 104% compared with GRCh38-based workflows, which enabled the typing of the vast majority of structural variant alleles per sample.
DOI
10.1038/s41586-023-05896-x