Data-driven trait heritability-based extraction of human facial phenotypes-Reference-Cited by-同舟云学术

Data-driven trait heritability-based extraction of human facial phenotypes

Published:2023-12-05 Issue: Volume: Page:312-319
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Yuan Meng¹,Goovaerts Seppe²,Hoskens Hanne²,Richmond Stephen³,Walsh Susan⁴,Shriver Mark D.⁵,Shaffer John R.⁶,Marazita Mary L.⁶,Weinberg Seth M.⁶,Peeters Hilde²,Claes Peter¹

Affiliation:

1. KU Leuven,ESAT/PSI,Department of Electrical Engineering,Leuven,Belgium

2. KU Leuven,Department of Human Genetics,Leuven,Belgium

3. Cardiff University,Applied Clinical Research and Public Health, School of Dentistry,Cardiff,United Kingdom

4. Indiana University Purdue University Indianapolis,Department of Biology,Indianapolis,IN,USA

5. Pennsylvania State University,Department of Anthropology,State College,PA,USA

6. University of Pittsburgh,Center for Craniofacial and Dental Genetics,Department of Oral and Craniofacial Sciences,Pittsburgh,PA,USA

Funder

KU Leuven

National Institute of Dental and Craniofacial Research

Wellcome Trust

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385885.pdf?arnumber=10385885

Reference23 articles.

1. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation

2. Novel genetic loci affecting facial shape variation in humans

3. A GWAS in Latin Americans identifies novel face shape loci, implicating VPS13B and a Denisovan introgressed region in facial variation

4. Genome-wide mapping of global-to-local genetic effects on human facial shape

5. Insights into the genetic architecture of the human face