Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing

Author:

Kim Hak-Min1,Jeon Sungwon23,Chung Oksung1,Jun Je Hoon1,Kim Hui-Su2,Blazyte Asta23,Lee Hwang-Yeol1,Yu Youngseok1,Cho Yun Sung1,Bolser Dan M4ORCID,Bhak Jong12345ORCID

Affiliation:

1. Clinomics Inc., Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Eonyang-eup, Ulju-gun, Ulsan, 44919, Republic of Korea

2. Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Eonyang-eup, Ulju-gun, Ulsan, 44919, Republic of Korea

3. Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Eonyang-eup, Ulju-gun, Ulsan, 44919, Republic of Korea

4. Geromics Ltd., 222 Mill Road, Cambridge, CB1 3NF, United Kingdom

5. Personal Genomics Institute (PGI), Genome Research Foundation, Osong saengmyong1ro, Cheongju, 28160, Republic of Korea

Abstract

Abstract Background DNBSEQ-T7 is a new whole-genome sequencer developed by Complete Genomics and MGI using DNA nanoball and combinatorial probe anchor synthesis technologies to generate short reads at a very large scale—up to 60 human genomes per day. However, it has not been objectively and systematically compared against Illumina short-read sequencers. Findings By using the same KOREF sample, the Korean Reference Genome, we have compared 7 sequencing platforms including BGISEQ-500, DNBSEQ-T7, HiSeq2000, HiSeq2500, HiSeq4000, HiSeqX10, and NovaSeq6000. We measured sequencing quality by comparing sequencing statistics (base quality, duplication rate, and random error rate), mapping statistics (mapping rate, depth distribution, and percent GC coverage), and variant statistics (transition/transversion ratio, dbSNP annotation rate, and concordance rate with single-nucleotide polymorphism [SNP] genotyping chip) across the 7 sequencing platforms. We found that MGI platforms showed a higher concordance rate for SNP genotyping than HiSeq2000 and HiSeq4000. The similarity matrix of variant calls confirmed that the 2 MGI platforms have the most similar characteristics to the HiSeq2500 platform. Conclusions Overall, MGI and Illumina sequencing platforms showed comparable levels of sequencing quality, uniformity of coverage, percent GC coverage, and variant accuracy; thus we conclude that the MGI platforms can be used for a wide range of genomics research fields at a lower cost than the Illumina platforms.

Funder

Ulsan City Research Fund

Ulsan National Institute of Science & Technology

Clinomics and Geromics Ltd internal funding

Technology Innovation Program

Development and Dissemination on National Standard Reference Data

Ministry of Trade, Industry & Energy

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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