Evidence map›Paper›PMID 22303347›Full record

ArticleFrontiers in genetics2011

Estimating allele frequency from next-generation sequencing of pooled mitochondrial DNA samples.

Tao Wang, Kith Pradhan, Kenny Ye, Lee-Jun Wong, Thomas E Rohan

Abstract read
In one paragraph

Article in Frontiers in genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tao WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine Bronx, NY, USA.
Kith Pradhan
Kenny Ye
Lee-Jun Wong
Thomas E Rohan

Funding

Stable Isotope and Metabolomics CoreP60DK020541 · NIDDK · YESHIVA UNIVERSITY · PI PESSIN, JEFFREY E. · 1986 to 2014
$29.8M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025750 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$20.5M
Clinical and Translational Science Award-K12KL2RR025749 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$991k
Clinical and Translational Science Award-T32 (TL1)TL1RR025748 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$385k
NCRR NIH HHS KL2 RR025749NCRR NIH HHS TL1 RR025748NCRR NIH HHS UL1 RR025750NIDDK NIH HHS P60 DK020541
6 · The paper itself

Abstract

backgroundBoth common and rare mitochondrial DNA (mtDNA) variants may contribute to genetic susceptibility to some complex human diseases. Understanding of the role of mtDNA variants will provide valuable insights into the etiology of these diseases. However, to date, there have not been any large-scale, genome-wide association studies of complete mtDNA variants and disease risk. One reason for this might be the substantial cost of sequencing the large number of samples required for genetic epidemiology studies. Next-generation sequencing of pooled mtDNA samples will dramatically reduce the cost of such studies and may represent an appealing approach for large-scale genetic epidemiology studies. However, the performance of the different designs of sequencing pooled mtDNA has not been evaluated.

methodsWe 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 reduce such variation, barcoding was used for sequencing different pools in the same lane of the flow cell. To evaluate the effect of different pooling strategies pooling was done at both the pre- and post-PCR amplification step.

resultsThe sequencing error rate was close to that expected based on the Phred score. When only reads with Phred ≥ 20 were considered, the average error rate was about 0.3%. However, there was significant variation of the base-calling errors for different types of bases or at different loci. Using the results of the Sanger sequencing as the standard, the sensitivity of single nucleotide polymorphism detection with post-PCR pooling (about 99%) was higher than that of the pre-PCR pooling (about 82%), while the two approaches had similar specificity (about 99%). 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.

conclusionSequencing of mtDNA pooled after PCR amplification is a viable tool for screening mitochondrial variants potentially related to human diseases.

Indexed as

allele frequencymitochondria DNAnext generation sequencingpooled sequencingsequencing error

Identifiers

PMID22303347
PMCPMC3268604

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.