Ontology type: schema:ScholarlyArticle Open Access: True
2014-08-10
AUTHORSIkuko N Motoike, Mitsuyo Matsumoto, Inaho Danjoh, Fumiki Katsuoka, Kaname Kojima, Naoki Nariai, Yukuto Sato, Yumi Yamaguchi-Kabata, Shin Ito, Hisaaki Kudo, Ichiko Nishijima, Satoshi Nishikawa, Xiaoqing Pan, Rumiko Saito, Sakae Saito, Tomo Saito, Matsuyuki Shirota, Kaoru Tsuda, Junji Yokozawa, Kazuhiko Igarashi, Naoko Minegishi, Osamu Tanabe, Nobuo Fuse, Masao Nagasaki, Kengo Kinoshita, Jun Yasuda, Masayuki Yamamoto
ABSTRACTBackgroundValidation of single nucleotide variations in whole-genome sequencing is critical for studying disease-related variations in large populations. A combination of different types of next-generation sequencers for analyzing individual genomes may be an efficient means of validating multiple single nucleotide variations calls simultaneously.ResultsHere, we analyzed 12 independent Japanese genomes using two next-generation sequencing platforms: the Illumina HiSeq 2500 platform for whole-genome sequencing (average depth 32.4×), and the Ion Proton semiconductor sequencer for whole exome sequencing (average depth 109×). Single nucleotide polymorphism (SNP) calls based on the Illumina Human Omni 2.5-8 SNP chip data were used as the reference. We compared the variant calls for the 12 samples, and found that the concordance between the two next-generation sequencing platforms varied between 83% and 97%.ConclusionsOur results show the versatility and usefulness of the combination of exome sequencing with whole-genome sequencing in studies of human population genetics and demonstrate that combining data from multiple sequencing platforms is an efficient approach to validate and supplement SNP calls. More... »
PAGES673
http://scigraph.springernature.com/pub.10.1186/1471-2164-15-673
DOIhttp://dx.doi.org/10.1186/1471-2164-15-673
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1046479354
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25109789
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