Yajun Yang
Pengcheng Fu
Sile Hu
Hang Zhou
Shouneng Peng
Jingze Tan
Yan Lu
Haiyi Lou
Dongsheng Lu
Sijie Wu
Jing Guo
Li Jin
Yaqun Guan
Sijia Wang
Shuhua Xu
Kun Tang
aChinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai 200031, China
bState Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
cFudan-Taizhou Institute of Health Sciences, Taizhou 225300, China
dDepartment of Neurology, The First People's Hospital of Chenzhou, Hunan 423000, China
eCollaborative Innovation Center of Genetics and Development, Shanghai 200438, China
fDepartment of Biochemistry and Molecular Biology, Preclinical Medicine College, Xinjiang Medical University, Urumqi 830011, China
gCenter for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
hSchool of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
More InformationCorresponding author: E-mail address: wangsijia@picb.ac.cn (Sijia Wang);E-mail address: xushua@picb.ac.cn (Shuhua Xu);E-mail address: tangkun@picb.ac.cn (Kun Tang)
Received Date: 2018-05-17
Accepted Date:2018-07-03
Rev Recd Date:2018-07-01
Available Online: 2018-08-16 Publish Date:2018-08-20
Abstract
Abstract
It is a long-standing question as to which genes define the characteristic facial features among different ethnic groups. In this study, we use Uyghurs, an ancient admixed population to query the genetic bases why Europeans and Han Chinese look different. Facial traits were analyzed based on high-dense 3D facial images; numerous biometric spaces were examined for divergent facial features between European and Han Chinese, ranging from inter-landmark distances to dense shape geometrics. Genome-wide association studies (GWAS) were conducted on a discovery panel of Uyghurs. Six significant loci were identified, four of which, rs1868752, rs118078182, rs60159418?at or near UBASH3B, COL23A1, PCDH7 and rs17868256 were replicated in independent cohorts of Uyghurs or Southern Han Chinese. A prospective model was also developed to predict 3D faces based on top GWAS signals and tested in hypothetic forensic scenarios.Keywords: Genome-wide association study,
Dense 3D facial image,
Ancestry-divergent phenotypes,
Face prediction,
Forensic scenario
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