Data_Sheet_1_Associations Between Genetic Data and Quantitative Assessment of Normal Facial Asymmetry.PDF
Sara Rolfe
Su-In Lee
Linda Shapiro
10.3389/fgene.2018.00659.s001
https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Associations_Between_Genetic_Data_and_Quantitative_Assessment_of_Normal_Facial_Asymmetry_PDF/7477904
<p>Human facial asymmetry is due to a complex interaction of genetic and environmental factors. To identify genetic influences on facial asymmetry, we developed a method for automated scoring that summarizes local morphology features and their spatial distribution. A genome-wide association study using asymmetry scores from two local symmetry features was conducted and significant genetic associations were identified for one asymmetry feature, including genes thought to play a role in craniofacial disorders and development: NFATC1, SOX5, NBAS, and TCF7L1. These results provide evidence that normal variation in facial asymmetry may be impacted by common genetic variants and further motivate the development of automated summaries of complex phenotypes.</p>
2018-12-18 10:46:49
facial morphology
asymmetry
GWAS
3DMD
feature extraction