Quantification of rare allelic variants from pooled genomic DNA

Authors:

Abstract
The base-calling algorithm SNPSeeker detects single-nucleotide polymorphisms with frequencies that are below the error rate of the sequencing platform. It is thus well suited to analyze data from large pooled samples and find rare variants that may contribute to diseases or complex traits. 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.