An evaluation of allele frequency estimation accuracy using pooled sequencing data.

Q4 Pharmacology, Toxicology and Pharmaceutics International Journal of Computational Biology and Drug Design Pub Date : 2013-01-01 Epub Date: 2013-09-30 DOI:10.1504/IJCBDD.2013.056709
Yan Guo, Qiuyin Cai, Chun Li, Jiang Li, Regina Courtney, Wei Zheng, Jirong Long
{"title":"An evaluation of allele frequency estimation accuracy using pooled sequencing data.","authors":"Yan Guo,&nbsp;Qiuyin Cai,&nbsp;Chun Li,&nbsp;Jiang Li,&nbsp;Regina Courtney,&nbsp;Wei Zheng,&nbsp;Jirong Long","doi":"10.1504/IJCBDD.2013.056709","DOIUrl":null,"url":null,"abstract":"<p><p>Next generation sequencing technology has matured, and with its current affordability, will replace the SNP chip as the genotyping tool of choice. Even with the current affordability of NGS, large scale studies will require careful study design to reduce cost. In this study, we designed an experiment to assess the accuracy of allele frequency estimated from pooled sequencing data. We compared the allele frequency estimated from sequencing data with the allele frequency estimated from individual SNP chip data and observed high correlations between them. However, by calculating error rate, we found that many SNPs had their allele frequency estimated from sequencing data significantly different from allele frequency estimated from SNP chip data. In conclusion, we found correlation is not an ideal measurement for comparing allele frequencies. And for the purpose of estimating allele frequency, we do not recommend using pooling with NGS as a cheaper alternative to genotype each sample individually. </p>","PeriodicalId":39227,"journal":{"name":"International Journal of Computational Biology and Drug Design","volume":"6 4","pages":"279-93"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJCBDD.2013.056709","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Biology and Drug Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCBDD.2013.056709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/9/30 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 8

Abstract

Next generation sequencing technology has matured, and with its current affordability, will replace the SNP chip as the genotyping tool of choice. Even with the current affordability of NGS, large scale studies will require careful study design to reduce cost. In this study, we designed an experiment to assess the accuracy of allele frequency estimated from pooled sequencing data. We compared the allele frequency estimated from sequencing data with the allele frequency estimated from individual SNP chip data and observed high correlations between them. However, by calculating error rate, we found that many SNPs had their allele frequency estimated from sequencing data significantly different from allele frequency estimated from SNP chip data. In conclusion, we found correlation is not an ideal measurement for comparing allele frequencies. And for the purpose of estimating allele frequency, we do not recommend using pooling with NGS as a cheaper alternative to genotype each sample individually.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用混合测序数据评估等位基因频率估计的准确性。
下一代测序技术已经成熟,并且以其目前的可负担性,将取代SNP芯片成为首选的基因分型工具。即使以目前的可负担性,大规模的研究也需要仔细的研究设计来降低成本。在这项研究中,我们设计了一个实验来评估从汇总测序数据估计的等位基因频率的准确性。我们将测序数据估计的等位基因频率与单个SNP芯片数据估计的等位基因频率进行了比较,发现它们之间存在很高的相关性。然而,通过计算错误率,我们发现许多SNP的测序数据估计的等位基因频率与SNP芯片数据估计的等位基因频率存在显著差异。总之,我们发现相关性不是比较等位基因频率的理想测量方法。为了估计等位基因频率,我们不建议使用NGS池作为单独对每个样本进行基因分型的更便宜的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
期刊最新文献
Assessment and Validation of Emulgel Based Salicylic acid Formulation Development to Drug release and Optimization by Statistical Design EyeRIS: Image-Based Identification of Goats using Iris Advanced DEEPCNN Breast Cancer Mammogram Image Detection and Classification with Butterfly Optimization Algorithm A Unique Noise Detector Developed for the Filtering of X-Ray Images of Bone Fractures Residue Interaction Network analysis and Molecular dynamics simulation of 6K Viroporin: Chikungunya Virus Channel Proteins
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1