Demographic history and rare allele sharing among human populations
Stanford University · University of Arizona · +4 more institutions
Abstract
High-throughput sequencing technology enables population-level surveys of human genomic variation. Here, we examine the joint allele frequency distributions across continental human populations and present an approach for combining complementary aspects of whole-genome, low-coverage data and targeted high-coverage data. We apply this approach to data generated by the pilot phase of the Thousand Genomes Project, including whole-genome 2-4× coverage data for 179 samples from HapMap European, Asian, and African panels as well as high-coverage target sequencing of the exons of 800 genes from 697 individuals in seven populations. We use the site frequency spectra obtained from these data to infer demographic…
Citation impact
- FWCI
- 32.88
- Percentile
- 100%
- References
- 25
Authors
561- SGSimon GravelCorresponding
Stanford University
- BMBrenna M. Henn
Stanford University
- RNRyan N. Gutenkunst
University of Arizona
- AIAmit Indap
Boston College
- GMGábor Marth
Boston College
Topics & keywords
- International HapMap Project
- Biology
- Nonsynonymous substitution
- Genetics
- 1000 Genomes Project
- Population
- Allele frequency
- Evolutionary biology