Detecting genetic association of common human facial morphological variation using high density 3D image registration.

ABSTRACT: Human facial morphology is a combination of many complex traits. Little is known about the genetic basis of common facial morphological variation. Existing association studies have largely used simple landmark-distances as surrogates for the complex morphological phenotypes of the face. However, this can result in decreased statistical power and unclear inference of shape changes. In this study, we applied a new image registration approach that automatically identified the salient landmarks and aligned the sample faces using high density pixel points. Based on this high density registration, three different phenotype data schemes were used to test the association between the common facial morphological variation and 10 candidate SNPs, and their performances were compared. The first scheme

SUBMITTER: Peng S 

PROVIDER: S-EPMC3854494 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature