ArticleGigaScience2017
Deep whole-genome sequencing of 90 Han Chinese genomes.
Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis.Nature genetics · 2022Pooled it
- National genomic projects in Asia and Africa: a review.Human genomics · 2026Review
- Long-read sequencing of 945 Han individuals identifies structural variants associated with phenotypic diversity and disease susceptibility.Nature communications · 2025Article
- An effective strategy for assembling the sex-limited chromosome.GigaScience · 2024Article
- Polymorphic USP8 allele promotes Parkinson's disease by inducing the accumulation of α-synuclein through deubiquitination.Cellular and molecular life sciences : CMLS · 2023Article
- Core promoter in TNBC is highly mutated with rich ethnic signature.Briefings in functional genomics · 2023Article
- Etiological roles of core promoter variation in triple-negative breast cancer.Genes & diseases · 2023Article
- Pangenomic analysis of Chinese gastric cancer.Nature communications · 2022Article
- Prevalence and spectrum of DNA mismatch repair gene variation in the general Chinese population.Journal of medical genetics · 2022Article
- Robust and accurate estimation of paralog-specific copy number for duplicated genes using whole-genome sequencing.Nature communications · 2022Article
- Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with global and local ancestries.American journal of human genetics · 2022Article
- Population-scale genotyping of structural variation in the era of long-read sequencing.Computational and structural biotechnology journal · 2022Review
- Prioritising positively selected variants in whole-genome sequencing data using FineMAV.BMC bioinformatics · 2021Article
- Building a Chinese pan-genome of 486 individuals.Communications biology · 2021Article
- Characterization of structural variation in Tibetans reveals new evidence of high-altitude adaptation and introgression.Genome biology · 2021Article
- A data set of variants derived from 1455 clinical and research exomes is efficient in variant prioritization for early-onset monogenic disorders in Indians.Human mutation · 2021Article
- Article
- PGG.Han: the Han Chinese genome database and analysis platform.Nucleic acids research · 2020Article
- NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants.Genome medicine · 2019Article
- HUPAN: a pan-genome analysis pipeline for human genomes.Genome biology · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Next-generation sequencing provides a high-resolution insight into human genetic information. However, the focus of previous studies has primarily been on low-coverage data due to the high cost of sequencing. Although the 1000 Genomes Project and the Haplotype Reference Consortium have both provided powerful reference panels for imputation, low-frequency and novel variants remain difficult to discover and call with accuracy on the basis of low-coverage data. Deep sequencing provides an optimal solution for the problem of these low-frequency and novel variants. Although whole-exome sequencing is also a viable choice for exome regions, it cannot account for noncoding regions, sometimes resulting in the absence of important, causal variants. For Han Chinese populations, the majority of variants have been discovered based upon low-coverage data from the 1000 Genomes Project. However, high-coverage, whole-genome sequencing data are limited for any population, and a large amount of low-frequency, population-specific variants remain uncharacterized. We have performed whole-genome sequencing at a high depth (∼×80) of 90 unrelated individuals of Chinese ancestry, collected from the 1000 Genomes Project samples, including 45 Northern Han Chinese and 45 Southern Han Chinese samples. Eighty-three of these 90 have been sequenced by the 1000 Genomes Project. We have identified 12 568 804 single nucleotide polymorphisms, 2 074 210 short InDels, and 26 142 structural variations from these 90 samples. Compared to the Han Chinese data from the 1000 Genomes Project, we have found 7 000 629 novel variants with low frequency (defined as minor allele frequency < 5%), including 5 813 503 single nucleotide polymorphisms, 1 169 199 InDels, and 17 927 structural variants. Using deep sequencing data, we have built a greatly expanded spectrum of genetic variation for the Han Chinese genome. Compared to the 1000 Genomes Project, these Han Chinese deep sequencing data enhance the characterization of a large number of low-frequency, novel variants. This will be a valuable resource for promoting Chinese genetics research and medical development. Additionally, it will provide a valuable supplement to the 1000 Genomes Project, as well as to other human genome projects.
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