Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA Samples

Background: Both common and rare mitochondrial DNA (mtDNA) variants may contribute to genetic susceptibility to some complex human diseases. Next-generation sequencing of pooled mtDNA samples may represent an cost-effective approach for large-scale genetic epidemiology studies. However, the performa...

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Main Authors: Tao eWang, Kith ePradhan, Kenny eYe, Lee-jun eWong, Thomas E Rohan
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-08-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2011.00051/full
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author Tao eWang
Kith ePradhan
Kenny eYe
Lee-jun eWong
Thomas E Rohan
author_facet Tao eWang
Kith ePradhan
Kenny eYe
Lee-jun eWong
Thomas E Rohan
author_sort Tao eWang
collection DOAJ
description Background: Both common and rare mitochondrial DNA (mtDNA) variants may contribute to genetic susceptibility to some complex human diseases. Next-generation sequencing of pooled mtDNA samples may represent an cost-effective approach for large-scale genetic epidemiology studies. However, the performance of the different designs of sequencing pooled mtDNA has not been evaluated. Methods: We examined the approach of sequencing pooled mtDNA of multiple individuals for estimating allele frequency using the Illumina Genome Analyzer (GA) II sequencing system. In this study the pool included mtDNA samples of 20 subjects that had been sequenced previously using Sanger sequencing. Each pool was replicated once to assess variation of the sequencing error between pools. To evaluate the effect of different pooling strategies pooling was done at both the pre- and post-PCR amplification step. Results: The sequencing error rate was close to that expected based on the Phred score. However, there was significant variation of the base-calling errors for different types of bases or at different loci. Among a total of 298 variants in the sample, the allele frequencies of 293 variants (98%) were correctly estimated with post-PCR pooling, the correlation between the estimated and the true allele frequencies being >0.99, while only 206 allele frequencies (69%) were correctly estimated in the pre-PCR pooling, the correlation being 0.89.Conclusion: Sequencing of mtDNA pooled after PCR amplification is a viable tool for screening mitochondrial variants potentially related to human diseases.
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spelling doaj.art-9cc90b190d734c41b75b699a6ddcd92c2022-12-22T03:44:57ZengFrontiers Media S.A.Frontiers in Genetics1664-80212011-08-01210.3389/fgene.2011.0005112648Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA SamplesTao eWang0Kith ePradhan1Kenny eYe2Lee-jun eWong3Thomas E Rohan4Albert Einstein College of MedicineAlbert Einstein College of MedicineAlbert Einstein College of MedicineBaylor College of MedicineAlbert Einstein College of MedicineBackground: Both common and rare mitochondrial DNA (mtDNA) variants may contribute to genetic susceptibility to some complex human diseases. Next-generation sequencing of pooled mtDNA samples may represent an cost-effective approach for large-scale genetic epidemiology studies. However, the performance of the different designs of sequencing pooled mtDNA has not been evaluated. Methods: We examined the approach of sequencing pooled mtDNA of multiple individuals for estimating allele frequency using the Illumina Genome Analyzer (GA) II sequencing system. In this study the pool included mtDNA samples of 20 subjects that had been sequenced previously using Sanger sequencing. Each pool was replicated once to assess variation of the sequencing error between pools. To evaluate the effect of different pooling strategies pooling was done at both the pre- and post-PCR amplification step. Results: The sequencing error rate was close to that expected based on the Phred score. However, there was significant variation of the base-calling errors for different types of bases or at different loci. Among a total of 298 variants in the sample, the allele frequencies of 293 variants (98%) were correctly estimated with post-PCR pooling, the correlation between the estimated and the true allele frequencies being >0.99, while only 206 allele frequencies (69%) were correctly estimated in the pre-PCR pooling, the correlation being 0.89.Conclusion: Sequencing of mtDNA pooled after PCR amplification is a viable tool for screening mitochondrial variants potentially related to human diseases.http://journal.frontiersin.org/Journal/10.3389/fgene.2011.00051/fullAllele frequencynext generation sequencingmitochondria DNApooled sequencingsequencing error
spellingShingle Tao eWang
Kith ePradhan
Kenny eYe
Lee-jun eWong
Thomas E Rohan
Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA Samples
Frontiers in Genetics
Allele frequency
next generation sequencing
mitochondria DNA
pooled sequencing
sequencing error
title Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA Samples
title_full Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA Samples
title_fullStr Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA Samples
title_full_unstemmed Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA Samples
title_short Estimating Allele Frequency from Next-Generation Sequencing of Pooled Mitochondrial DNA Samples
title_sort estimating allele frequency from next generation sequencing of pooled mitochondrial dna samples
topic Allele frequency
next generation sequencing
mitochondria DNA
pooled sequencing
sequencing error
url http://journal.frontiersin.org/Journal/10.3389/fgene.2011.00051/full
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AT leejunewong estimatingallelefrequencyfromnextgenerationsequencingofpooledmitochondrialdnasamples
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