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Quantification of rare allelic variants from pooled genomic DNA
Rare germline variants are difficult to identify using traditional sequencing due to relatively high cost and low throughput. Using second-generation sequencing, we report a targeted, cost-effective method to quantify rare SNPs from pooled genomic DNA. We pooled DNA from 1,111 individuals and target...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776647/ https://www.ncbi.nlm.nih.gov/pubmed/19252504 http://dx.doi.org/10.1038/nmeth.1307 |
Sumario: | Rare germline variants are difficult to identify using traditional sequencing due to relatively high cost and low throughput. Using second-generation sequencing, we report a targeted, cost-effective method to quantify rare SNPs from pooled genomic DNA. We pooled DNA from 1,111 individuals and targeted four genes. Our novel base-calling algorithm, SNPSeeker, derived from Large Deviation theory, can detect SNPs present at frequencies below the raw error rate of the sequencing platform |
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