snp对Nimblegen RNA表达芯片表达水平的影响。

IF 0.2 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY International Journal of Data Mining and Bioinformatics Pub Date : 2015-01-01 DOI:10.1504/ijdmb.2015.068949
Sigrun Helga Lund, Asgeir Sigurdsson, Sigurjon Axel Gudjonsson, Julius Gudmundsson, Daniel Fannar Gudbjartsson, Thorunn Rafnar, Kari Stefansson, Gunnar Stefansson
{"title":"snp对Nimblegen RNA表达芯片表达水平的影响。","authors":"Sigrun Helga Lund,&nbsp;Asgeir Sigurdsson,&nbsp;Sigurjon Axel Gudjonsson,&nbsp;Julius Gudmundsson,&nbsp;Daniel Fannar Gudbjartsson,&nbsp;Thorunn Rafnar,&nbsp;Kari Stefansson,&nbsp;Gunnar Stefansson","doi":"10.1504/ijdmb.2015.068949","DOIUrl":null,"url":null,"abstract":"<p><p>In this paper the effect of SNPs on expression levels in Nimblegen RNA expression microarrays is investigated. A vast number of replicates of probe pairs representing both alleles of SNPs on 14 loci allows accurate estimation of the difference in signal intensities both within and between probe pairs. The majority of probe-pairs with sufficiently high expression have significant differences in expression levels within the pair and the difference shows concordance with the genotype of the samples. With two or more replicates of each probe, the allele-to-allele variance dominates the error in estimating the difference within the probe-pair, ten replicates are needed for adequate power in calling a true difference within a single probe-pair. Using the expression level of the probe within the probe-pair that has the higher value gives more accurate estimates. When using probes at loci containing known SNP's one should use probes containing both alleles of the SNP.</p>","PeriodicalId":54964,"journal":{"name":"International Journal of Data Mining and Bioinformatics","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijdmb.2015.068949","citationCount":"0","resultStr":"{\"title\":\"The effect of SNPs on expression levels in Nimblegen RNA expression microarrays.\",\"authors\":\"Sigrun Helga Lund,&nbsp;Asgeir Sigurdsson,&nbsp;Sigurjon Axel Gudjonsson,&nbsp;Julius Gudmundsson,&nbsp;Daniel Fannar Gudbjartsson,&nbsp;Thorunn Rafnar,&nbsp;Kari Stefansson,&nbsp;Gunnar Stefansson\",\"doi\":\"10.1504/ijdmb.2015.068949\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this paper the effect of SNPs on expression levels in Nimblegen RNA expression microarrays is investigated. A vast number of replicates of probe pairs representing both alleles of SNPs on 14 loci allows accurate estimation of the difference in signal intensities both within and between probe pairs. The majority of probe-pairs with sufficiently high expression have significant differences in expression levels within the pair and the difference shows concordance with the genotype of the samples. With two or more replicates of each probe, the allele-to-allele variance dominates the error in estimating the difference within the probe-pair, ten replicates are needed for adequate power in calling a true difference within a single probe-pair. Using the expression level of the probe within the probe-pair that has the higher value gives more accurate estimates. When using probes at loci containing known SNP's one should use probes containing both alleles of the SNP.</p>\",\"PeriodicalId\":54964,\"journal\":{\"name\":\"International Journal of Data Mining and Bioinformatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2015-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/ijdmb.2015.068949\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Data Mining and Bioinformatics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1504/ijdmb.2015.068949\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICAL & COMPUTATIONAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining and Bioinformatics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1504/ijdmb.2015.068949","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

本文研究了SNPs对Nimblegen RNA表达芯片表达水平的影响。代表14个位点上snp的两个等位基因的探针对的大量重复可以准确估计探针对内部和之间的信号强度差异。大多数表达足够高的探针对在其对内的表达水平存在显著差异,且这种差异与样品的基因型一致。对于每个探针的两个或多个重复,等位基因与等位基因之间的方差在估计探针对内的差异时占主导地位,在单个探针对内调用真正差异需要10个重复才能获得足够的功率。在探针对中使用具有较高值的探针的表达级别可以获得更准确的估计。当在含有已知SNP的位点上使用探针时,应该使用含有该SNP的两个等位基因的探针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
The effect of SNPs on expression levels in Nimblegen RNA expression microarrays.

In this paper the effect of SNPs on expression levels in Nimblegen RNA expression microarrays is investigated. A vast number of replicates of probe pairs representing both alleles of SNPs on 14 loci allows accurate estimation of the difference in signal intensities both within and between probe pairs. The majority of probe-pairs with sufficiently high expression have significant differences in expression levels within the pair and the difference shows concordance with the genotype of the samples. With two or more replicates of each probe, the allele-to-allele variance dominates the error in estimating the difference within the probe-pair, ten replicates are needed for adequate power in calling a true difference within a single probe-pair. Using the expression level of the probe within the probe-pair that has the higher value gives more accurate estimates. When using probes at loci containing known SNP's one should use probes containing both alleles of the SNP.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.
期刊最新文献
Data mining based integration method of infant critical and critical information in modern hospital Fast retrieval method of biomedical literature based on feature mining Research on Cloud Storage Biological Data De duplication Method Based on Simhash Algorithm Identification of disease-related miRNAs based on Weighted K-Nearest Known Neighbors and Inductive Matrix Completion Diagnosis of Parkinson’s disease genes using LSTM and MLP based multi-feature extraction methods
×
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