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.

Highlights

  • Next-generation sequencing has become widely utilized in human genetics research compared to previous technologies, in particular for genome-wide association studies (GWAS)

  • 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

  • Compared to the Han Chinese data from the 1000 Genomes Project, we have found 7 000 629 novel variants with low frequency, including 5 813 503 single nucleotide polymorphisms, 1 169 199 InDels, and 17 927 structural variants

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Summary

Background

Next-generation sequencing has become widely utilized in human genetics research compared to previous technologies, in particular for genome-wide association studies (GWAS). Most of the samples contributed to either the 1000GP or to the HRC have an average sequencing depth of only ×4∼8, which makes characterization of lowfrequency variants (minor allele frequency [MAF] < 5%), and especially rare variants (MAF < 1%) [5], difficult These 2 projects cannot supply a high-resolution spectrum of variations for many human populations, in particular for Han Chinese [6]. The 1000GP, the HRC and other human genome projects have generated extensive human variation catalogues, which can be used to design high-density genotyping arrays These chips are likely to miss rare or low-frequency alleles [9]. Seven were hitherto unsequenced by the1000GP, including 5 CHB and 2 CHS

Ethics Statement
90 HAN Chinese HAN from 1000GP
Findings
Availability of supporting data
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