Detecting selection in low-coverage high-throughput sequencing data using principal component analysis.

Abstract excerpt

BACKGROUND: Identification of selection signatures between populations is often an important part of a population genetic study. Leveraging high-throughput DNA sequencing larger sample sizes of populations with similar ancestries has become increasingly common. This has led to the need of methods capable of identifying signals of selection in populations with a continuous cline of genetic differentiation....

Topics

• Genetics, Population
• Genome
• Genotype
• High-Throughput Nucleotide Sequencing
• Humans
• Polymorphism, Single Nucleotide
• Principal Component Analysis