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pmid:20164091

Accurate SNP and mutation detection by targeted custom microarray-based genomic enrichment of short-fragment sequencing libraries.

Michal Mokry · Harma Feitsma · Isaac J Nijman · Ewart de Bruijn · Pieter J van der Zaag · Victor Guryev · Edwin Cuppen

Nucleic acids research · 2010 doi:10.1093/nar/gkq072

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Experiment

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Data

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title
Accurate SNP and mutation detection by targeted custom microarray-based genomic enrichment of short-fragment sequencing libraries.
doi
10.1093/nar/gkq072
pmid
20164091
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Michal Mokry
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Harma Feitsma
[2]
Isaac J Nijman
[3]
Ewart de Bruijn
[4]
Pieter J van der Zaag
[5]
Victor Guryev
[6]
Edwin Cuppen
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Nucleic acids research
year
2010
abstract
Microarray-based enrichment of selected genomic loci is a powerful method for genome complexity reduction for next-generation sequencing. Since the vast majority of exons in vertebrate genomes are smaller than 150 nt, we explored the use of short fragment libraries (85-110 bp) to achieve higher enrichment specificity by reducing carryover and adverse effects of flanking intronic sequences. High enrichment specificity (60-75%) was obtained with a relative even base coverage. Up to 98% of the target-sequence was covered more than 20x at an average coverage depth of about 200x. To verify the accuracy of SNP/mutation detection, we evaluated 384 known non-reference SNPs in the targeted regions. At approximately 200x average sequence coverage, we were able to survey 96.4% of 1.69 Mb of genomic sequence with only 4.2% false negative calls, mostly due to low coverage. Using the same settings, a total of 1197 novel candidate variants were detected. Verification experiments revealed only eight false positive calls, indicating an overall false positive rate of less than 1 per approximately 200,000 bp. Taken together, short fragment libraries provide highly efficient and flexible enrichment of exonic targets and yield relatively even base coverage, which facilitates accurate SNP and mutation detection. Raw sequencing data, alignment files and called SNPs have been submitted into GEO database http://www.ncbi.nlm.nih.gov/geo/ with accession number GSE18542.
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Here, we introduce a dedicated parameter to represent the evenness of coverage score, E. Raw sequencing data, alignment files and called SNPs have been submitted into GEO database http://www.ncbi.nlm.nih.gov/geo/ with accession number GSE18542.
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Here, we introduce a dedicated parameter to represent the evenness of coverage score, E.
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These results indicate that the use of short fragment libraries results firstly in highly efficient enrichment with relatively even base coverage over the targeted region and that secondly the sensitivity and specificity of SNP/mutation calling is very high.
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Taken together, at ∼200× average sequence coverage, we were able to survey 96.4% of 1.69 Mb of genomic sequence with only 4.2% of false negative calls, while 3.6% of targeted regions had to be marked as unsurveyed.
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Here, we introduce a dedicated parameter to represent the evenness of coverage score, E. Raw sequencing data, alignment files and called SNPs have been submitted into GEO database http://www.ncbi.nlm.nih.gov/geo/ with accession number GSE18542.
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Since the vast majority of exons in vertebrate genomes are smaller than 150 nt, we explored the use of short fragment libraries (85-110 bp) to achieve higher enrichment specificity by reducing carryover and adverse effects of flanking intronic sequences. High enrichment specificity (60-75%) was obtained with a relative even base coverage. Up to 98% of the target-sequence was covered more than 20x at an average coverage depth of about 200x. To verify the accuracy of SNP/mutation detection, we evaluated 384 known non-reference SNPs in the targeted regions. At approximately 200x average sequence coverage, we were able to survey 96.4% of 1.69 Mb of genomic sequence with only 4.2% false negative calls, mostly due to low coverage. Using the same settings, a total of 1197 novel candidate variants were detected. Verification experiments revealed only eight false positive calls, indicating an overall false positive rate of less than 1 per approximately 200,000 bp. Taken together, short fragment libraries provide highly efficient and flexible enrichment of exonic targets and yield relatively even base coverage, which facilitates accurate SNP and mutation detection. Raw sequencing data, alignment files and called SNPs have been submitted into GEO database http://www.ncbi.nlm.nih.gov/geo/ with accession number GSE18542.", "claims": [{"id": "claim-method", "statement": "Here, we introduce a dedicated parameter to represent the evenness of coverage score, E. 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