The success of genetic association and the prediction of phenotypic traits from DNA are known to depend on the accuracy of phenotype characterization, among other parameters. The current study demonstrated the utility of this approach by using high-resolution digital eye imagery and genotype data from 12 selected SNPs from over 3,000 European samples of seven populations that are part of the EUREYE study. Compared to previous quantification approaches, the current study achieved an overall improvement in eye color phenotyping, which provides a better separation of manually defined eye color categories. Single nucleotide polymorphisms (SNPs) known to be involved in human eye color variation showed stronger associations with the developed approach. The project also found new and confirmed previously noted SNP-SNP interactions; and it increased SNP-based prediction accuracy of quantitative eye color. These findings show that precise quantification using the perceived biological basis of pigmentation leads to improved genetic association and prediction of eye color. The researchers anticipate that this approach will deliver new pigmentation genes when applied to genome-wide association testing. (publisher abstract modified)
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