Transcriptome genetics using second generation sequencing in a Caucasian population.

Transcriptome genetics using second generation sequencing in a Caucasian population.
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DOI:
10.1038/nature08903
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发表时间:
2010-04-01
期刊:
影响因子:
64.8
通讯作者:
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中科院分区:
综合性期刊1区
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基因表达是遗传和环境对细胞状态影响的一个重要表型。许多研究以前已经使用定制的和商业上可用的微阵列确定了基因表达表型的遗传变异。第二代测序技术现在为获得转录组的精细结构提供了前所未有的途径。我们已经对60名CEU个体的转录组mRNA片段进行了测序,并将这些数据与HapMap3项目的遗传变异相结合。我们已经根据阅读深度量化了外显子丰度,并开发了量化整个转录本丰度的方法。我们已经发现,大约1000万次测序读数可以提供与阵列相同的动态范围,具有更好的替代和高度丰富的转录本的量化。与SNPs的关联导致eQTL的发现比与阵列的关联更大。我们还检测到大量影响成熟转录本结构的变异体,表明变异体负责选择性剪接。最后,等位基因特异性表达的测量可以识别罕见的eQTL和转录本结构中的等位基因差异。这一分析表明,高通量测序技术揭示了转录组中遗传效应的新特性,并允许探索细胞过程中的遗传效应。
Gene expression is an important phenotype that informs about genetic and environmental effects on cellular state. Many studies have previously identified genetic variants for gene expression phenotypes using custom and commercially available microarrays. Second generation sequencing technologies are now providing unprecedented access to the fine structure of the transcriptome. We have sequenced the mRNA fraction of the transcriptome in 60 CEU individuals and have combined these data with genetic variants from the HapMap3 project. We have quantified exon abundance based on read depth and have also developed methods to quantify whole transcript abundance. We have found that approximately 10 million reads of sequencing can provide access to the same dynamic range as arrays with better quantification of alternative and highly abundant transcripts. Correlation with SNPs leads to a larger discovery of eQTLs than with arrays. We also detect a substantial number of variants that influence the structure of mature transcripts indicating variants responsible for alternative splicing. Finally, measures of allele-specific expression allowed the identification of rare eQTLs and allelic differences in transcript structure. This analysis shows that high throughput sequencing technologies reveal new properties of genetic effects on the transcriptome and allow the exploration of genetic effects in cellular processes.
DOI: 10.1038/ng2088
发表时间: 2007-07-01
期刊: NATURE GENETICS
影响因子: 30.8
作者:
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通讯作者: Donnelly, Peter
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发表时间: 2007-10-18
期刊: NATURE
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DOI: 10.1038/nmeth.1223
发表时间: 2008-07-01
期刊: NATURE METHODS
影响因子: 48
作者:
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通讯作者: Grimmond, Sean M.
DOI: 10.1038/ng2119
发表时间: 2007-10-01
期刊: NATURE GENETICS
影响因子: 30.8
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通讯作者: Blangero, John
DOI: 10.1093/nar/gkn705
发表时间: 2008-12
影响因子: 14.9
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