17 research outputs found

    Comparing Three Approaches

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    Hybridization-based target enrichment protocols require relatively large starting amounts of genomic DNA, which is not always available. Here, we tested three approaches to pre-capture library preparation starting from 10 ng of genomic DNA: (i and ii) whole-genome amplification of DNA samples with REPLI-g (Qiagen) and GenomePlex (Sigma) kits followed by standard library preparation, and (iii) library construction with a low input oriented ThruPLEX kit (Rubicon Genomics). Exome capture with Agilent SureSelectXT2 Human AllExon v4+UTRs capture probes, and HiSeq2000 sequencing were performed for test libraries along with the control library prepared from 1 Āµg of starting DNA. Tested protocols were characterized in terms of mapping efficiency, enrichment ratio, coverage of the target region, and reliability of SNP genotyping. REPLI-g- and ThruPLEX-FD-based protocols seem to be adequate solutions for exome sequencing of low input sample

    Exome Sequencing from Nanogram Amounts of Starting DNA: Comparing Three Approaches

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    <div><p>Hybridization-based target enrichment protocols require relatively large starting amounts of genomic DNA, which is not always available. Here, we tested three approaches to pre-capture library preparation starting from 10 ng of genomic DNA: (i and ii) whole-genome amplification of DNA samples with REPLI-g (Qiagen) and GenomePlex (Sigma) kits followed by standard library preparation, and (iii) library construction with a low input oriented ThruPLEX kit (Rubicon Genomics). Exome capture with Agilent SureSelect<i><sup>XT2</sup></i> Human AllExon v4+UTRs capture probes, and HiSeq2000 sequencing were performed for test libraries along with the control library prepared from 1 Āµg of starting DNA. Tested protocols were characterized in terms of mapping efficiency, enrichment ratio, coverage of the target region, and reliability of SNP genotyping. REPLI-g- and ThruPLEX-FD-based protocols seem to be adequate solutions for exome sequencing of low input samples.</p></div

    The experimental scheme.

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    <p>Two DNA samples (Test DNA 1 and Test DNA 2) were subjected to four exome sequencing (ES) protocols performed in parallel: control (Standard ES) and three modified (REPLI-g ES, GenomePlex ES and ThruPLEX-FD ES). Common steps performed in parallel for several protocols are shown by text boxes spanning the corresponding number of protocol columns.</p

    Coverage statistics for the target region.

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    <p>Analysis was performed on subsets of reads uniquely mapped to the target region and having approximately equal total amounts of bases (<b>āˆ¼</b>17<b>Ɨ</b>10<sup>8</sup> bases).</p

    Alignment statistics.

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    <p>*high confident reads-reads with probability of wrong mapping lower than 0.05 according to their MAPQ score (MAPQ>13).</p><p>**some of GenomePlex ES library reads contained sequences of the primer used for whole genome amplification. These common segments were cut out before the alignment. As a result, 13.8% of and 11.9% of nucleotides were removed from the reads of the Test DNA 1 and Test DNA 2 libraries, respectively.</p><p>***FR-flanking regions (FR), which include 100<b> </b>bp from both ends of the targeted sequences.</p

    Sharing of genetic variations between strategies depicted in a Venn diagram.

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    <p>Only variation with minimum depth of coverage of 20x and minimum quality of 13 were taken into account in all four strategies. The names of the samples are abbreviated: Standard ESā€Š=ā€ŠSt; ThruPLEX-FD ESā€Š=ā€ŠTp; REPLI-g ESā€Š=ā€ŠRg; GenomePlex ESā€Š=ā€ŠGp. The lower left tile presents the overall statistics, where ā€œTotalā€ indicates the number of all unique SNVs found in the region of interest, i.e. the union of SNV sets found by each strategy.</p
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