Abstract
We report a targeted, cost-effective method to quantify rare single-nucleotide polymorphisms from pooled human genomic DNA using second-generation sequencing. We pooled DNA from 1,111 individuals and targeted four genes to identify rare germline variants. Our base-calling algorithm, SNPSeeker, derived from large deviation theory, detected single-nucleotide polymorphisms present at frequencies below the raw error rate of the sequencing platform.
Original language | English (US) |
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Pages (from-to) | 263-265 |
Number of pages | 3 |
Journal | Nature Methods |
Volume | 6 |
Issue number | 4 |
DOIs | |
State | Published - 2009 |
Funding
This work was supported in part by the US National Institutes of Health under the Ruth L. Kirschstein National Research Service Award T32 HD 007499 from the National Institute of Child Health and Human Development (T.E.D.), the National Heart, Lung and Blood Institute (RO1HL065174, RO1HL082747, F.S.C.), the Children’s Discovery Institute Fellowship Award MC-F-2006-1 (T.E.D.), the Children’s Discovery Institute grant MC-II-2006-1 (R.D.M.) and the Saigh Foundation (F.S.C., R.D.M. and T.E.D).
ASJC Scopus subject areas
- Biotechnology
- Biochemistry
- Molecular Biology
- Cell Biology