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Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population

BACKGROUND: Validation 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...

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Autores principales: Motoike, Ikuko N, Matsumoto, Mitsuyo, Danjoh, Inaho, Katsuoka, Fumiki, Kojima, Kaname, Nariai, Naoki, Sato, Yukuto, Yamaguchi-Kabata, Yumi, Ito, Shin, Kudo, Hisaaki, Nishijima, Ichiko, Nishikawa, Satoshi, Pan, Xiaoqing, Saito, Rumiko, Saito, Sakae, Saito, Tomo, Shirota, Matsuyuki, Tsuda, Kaoru, Yokozawa, Junji, Igarashi, Kazuhiko, Minegishi, Naoko, Tanabe, Osamu, Fuse, Nobuo, Nagasaki, Masao, Kinoshita, Kengo, Yasuda, Jun, Yamamoto, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138778/
https://www.ncbi.nlm.nih.gov/pubmed/25109789
http://dx.doi.org/10.1186/1471-2164-15-673
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author Motoike, Ikuko N
Matsumoto, Mitsuyo
Danjoh, Inaho
Katsuoka, Fumiki
Kojima, Kaname
Nariai, Naoki
Sato, Yukuto
Yamaguchi-Kabata, Yumi
Ito, Shin
Kudo, Hisaaki
Nishijima, Ichiko
Nishikawa, Satoshi
Pan, Xiaoqing
Saito, Rumiko
Saito, Sakae
Saito, Tomo
Shirota, Matsuyuki
Tsuda, Kaoru
Yokozawa, Junji
Igarashi, Kazuhiko
Minegishi, Naoko
Tanabe, Osamu
Fuse, Nobuo
Nagasaki, Masao
Kinoshita, Kengo
Yasuda, Jun
Yamamoto, Masayuki
author_facet Motoike, Ikuko N
Matsumoto, Mitsuyo
Danjoh, Inaho
Katsuoka, Fumiki
Kojima, Kaname
Nariai, Naoki
Sato, Yukuto
Yamaguchi-Kabata, Yumi
Ito, Shin
Kudo, Hisaaki
Nishijima, Ichiko
Nishikawa, Satoshi
Pan, Xiaoqing
Saito, Rumiko
Saito, Sakae
Saito, Tomo
Shirota, Matsuyuki
Tsuda, Kaoru
Yokozawa, Junji
Igarashi, Kazuhiko
Minegishi, Naoko
Tanabe, Osamu
Fuse, Nobuo
Nagasaki, Masao
Kinoshita, Kengo
Yasuda, Jun
Yamamoto, Masayuki
author_sort Motoike, Ikuko N
collection PubMed
description BACKGROUND: Validation 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. RESULTS: Here, 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%. CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-673) contains supplementary material, which is available to authorized users.
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spelling pubmed-41387782014-08-28 Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population Motoike, Ikuko N Matsumoto, Mitsuyo Danjoh, Inaho Katsuoka, Fumiki Kojima, Kaname Nariai, Naoki Sato, Yukuto Yamaguchi-Kabata, Yumi Ito, Shin Kudo, Hisaaki Nishijima, Ichiko Nishikawa, Satoshi Pan, Xiaoqing Saito, Rumiko Saito, Sakae Saito, Tomo Shirota, Matsuyuki Tsuda, Kaoru Yokozawa, Junji Igarashi, Kazuhiko Minegishi, Naoko Tanabe, Osamu Fuse, Nobuo Nagasaki, Masao Kinoshita, Kengo Yasuda, Jun Yamamoto, Masayuki BMC Genomics Research Article BACKGROUND: Validation 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. RESULTS: Here, 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%. CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-673) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-10 /pmc/articles/PMC4138778/ /pubmed/25109789 http://dx.doi.org/10.1186/1471-2164-15-673 Text en © Motoike et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Motoike, Ikuko N
Matsumoto, Mitsuyo
Danjoh, Inaho
Katsuoka, Fumiki
Kojima, Kaname
Nariai, Naoki
Sato, Yukuto
Yamaguchi-Kabata, Yumi
Ito, Shin
Kudo, Hisaaki
Nishijima, Ichiko
Nishikawa, Satoshi
Pan, Xiaoqing
Saito, Rumiko
Saito, Sakae
Saito, Tomo
Shirota, Matsuyuki
Tsuda, Kaoru
Yokozawa, Junji
Igarashi, Kazuhiko
Minegishi, Naoko
Tanabe, Osamu
Fuse, Nobuo
Nagasaki, Masao
Kinoshita, Kengo
Yasuda, Jun
Yamamoto, Masayuki
Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population
title Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population
title_full Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population
title_fullStr Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population
title_full_unstemmed Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population
title_short Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population
title_sort validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138778/
https://www.ncbi.nlm.nih.gov/pubmed/25109789
http://dx.doi.org/10.1186/1471-2164-15-673
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