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Abstract
The complete human genome sequence is used as a reference for next-generation sequencing analyses. However, some ethnic ancestries are under-represented in the reference genome (e.g., GRCh37) due to its bias toward European and African ancestries. Here, we perform de novo assembly of three Japanese male genomes using > 100× Pacific Biosciences long reads and Bionano Genomics optical maps per sample. We integrate the genomes using the major allele for consensus and anchor the scaffolds using genetic and radiation hybrid maps to reconstruct each chromosome. The resulting genome sequence, JG1, is contiguous, accurate, and carries the Japanese major allele at most loci. We adopt JG1 as the reference for confirmatory exome re-analyses of seven rare-disease Japanese families and find that re-analysis using JG1 reduces total candidate variant calls versus GRCh37 while retaining disease-causing variants. These results suggest that integrating multiple genomes from a single population can aid genome analyses of that population.
Human reference genomes are typically constructed from few individuals, and are biased towards European and African genomes. Here, the authors assemble three Japanese genomes to create a population-specific reference genome. They then demonstrate improved variant calling from exome sequencing with this reference genome.
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1 Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building 15F, Chuo-ku, Japan (GRID:grid.7597.c) (ISNI:0000000094465255)
2 Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
3 Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building 15F, Chuo-ku, Japan (GRID:grid.7597.c) (ISNI:0000000094465255)
4 Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
5 Tohoku University Graduate School of Medicine, Department of Pediatrics, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
6 Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Miyagi Cancer Center Research Institute, Division of Molecular and Cellular Oncology, Natori, Japan (GRID:grid.419939.f) (ISNI:0000 0004 5899 0430)
7 Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University Graduate School of Medicine, Department of Pediatrics, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
8 Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Graduate School of Information Sciences, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
9 Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building 15F, Chuo-ku, Japan (GRID:grid.7597.c) (ISNI:0000000094465255); Tohoku University Graduate School of Medicine, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)