SNP detection for massively parallel whole-genome resequencing.
Next-generation massively parallel sequencing technologies provide ultrahigh throughput at two orders of magnitude lower unit cost than capillary Sanger sequencing technology. One of the key applications of next-generation sequencing is studying genetic variation between individuals using whole-genome or target region resequencing. Here, we have developed a consensus-calling and SNP-detection method for sequencing-by-synthesis Illumina Genome Analyzer technology. We designed this method by carefully considering the data quality, alignment, and experimental errors common to this technology. All of this information was integrated into a single quality score for each base under Bayesian theory to measure the accuracy of consensus calling. We tested this methodology using a large-scale human resequencing data set of 36x coverage and assembled a high-quality nonrepetitive consensus sequence for 92.25% of the diploid autosomes and 88.07% of the haploid X chromosome. Comparison of the consensus sequence with Illumina human 1M BeadChip genotyped alleles from the same DNA sample showed that 98.6% of the 37,933 genotyped alleles on the X chromosome and 98% of 999,981 genotyped alleles on autosomes were covered at 99.97% and 99.84% consistency, respectively. At a low sequencing depth, we used prior probability of dbSNP alleles and were able to improve coverage of the dbSNP sites significantly as compared to that obtained using a nonimputation model. Our analyses demonstrate that our method has a very low false call rate at any sequencing depth and excellent genome coverage at a high sequencing depth.
Li
Ruiqiang
R
Beijing Genomics Institute at Shenzhen, Shenzhen 518000, China
Li
Yingrui
Y
Fang
Xiaodong
X
Yang
Huanming
H
Wang
Jian
J
Kristiansen
Karsten
K
Wang
Jun
J
D000465:Algorithms; D044466:Asian People / Q000235:genetics; D041321:Chromosomes, Human, X / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D005828:Genetics, Population / Q000379:methods; D015894:Genome, Human / Q000235:genetics*; D005838:Genotype; D006801:Humans; D016013:Likelihood Functions; D008957:Models, Genetic; D015233:Models, Statistical; D020641:Polymorphism, Single Nucleotide; D011336:Probability; D015203:Reproducibility of Results; D017422:Sequence Analysis, DNA / Q000295:instrumentation / Q000379:methods*; D012984:Software