Abstract
1AbstractPopulations that have experienced a bottleneck are regularly used in Genome Wide Association Studies (GWAS) to investigate variants associated with complex traits. It is generally understood that these isolated sub-populations may experience high frequency of otherwise rare variants with large effect size, and therefore provide a unique opportunity to study said trait. However, the demographic history of the population under investigation affects all SNPs that determine the complex trait genome-wide, changing its heritability and genetic architecture. We use a simulation-based approach to identify the impact of the demographic processes of drift, expansion, and migration on the heritability of complex trait. We show that demography has considerable impact on complex traits. We then investigate the power to resolve heritability of complex traits in GWAS studies subjected to demographic effects. We find that demography is an important component for interpreting inference of complex traits and has a nuanced impact on the power of GWAS. We conclude that demographic histories need to be explicitly modelled in order to properly quantify the history of selection on a complex trait.
Publisher
Cold Spring Harbor Laboratory
Reference39 articles.
1. The Nearly Neutral Theory of Molecular Evolution
2. The One-Migrant-per-Generation Rule in Conservation and Management
3. Rose, H. (2001). The Commodification of Bioinformation: The Icelandic Health Sector Database.
4. Accommodating Linkage Disequilibrium in Genetic-Association Analyses via Ridge Regression
5. Estimating Trait Heritability [Cg cat: Estimating Trait Heritability Cg level: MED Cg topic: Estimating Trait Heritability];Nature Education,2008