Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes
University of Washington · Stanford University · +7 more institutions
Abstract
As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111× in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86% with a minor allele frequency less than 0.5%), previously unknown (82%), and population-specific (82%). On average, 2.3% of the 13,595 SNVs each person carried were predicted to affect protein function of ~313 genes per genome, and ~95.7% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined…
Citation impact
- FWCI
- 156.37
- Percentile
- 100%
- References
- 46
Authors
26Topics & keywords
- Exome sequencing
- Biology
- Genetics
- Human genome
- Gene
- Minor allele frequency
- Population
- Allele frequency
- Good health and well-being