Neighbor GWAS: incorporating neighbor genotypic identity into genome-wide association studies of field herbivory.

ABSTRACT: An increasing number of field studies have shown that the phenotype of an individual plant depends not only on its genotype but also on those of neighboring plants; however, this fact is not taken into consideration in genome-wide association studies (GWAS). Based on the Ising model of ferromagnetism, we incorporated neighbor genotypic identity into a regression model, named "Neighbor GWAS". Our simulations showed that the effective range of neighbor effects could be estimated using an observed phenotype when the proportion of phenotypic variation explained (PVE) by neighbor effects peaked. The spatial scale of the first nearest neighbors gave the maximum power to detect the causal variants responsible for neighbor effects, unless their effective range was too broad. However, if the effect

SUBMITTER: Sato Y 

PROVIDER: S-EPMC8115658 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature