| Title: |
A comprehensive evaluation of the phenotype-first and data-driven approaches in analyzing facial morphological traits |
| Authors: |
Hui Qiao, Jingze Tan, Jun Yan, Chang Sun, Xing Yin, Zijun Li, Jiazi Wu, Haijuan Guan, Shaoqing Wen, Menghan Zhang, Shuhua Xu, Li Jin |
| Source: |
iScience, Vol 27, Iss 3, Pp 109325- (2024) |
| Publisher Information: |
Elsevier, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Science |
| Subject Terms: |
Health sciences, Biological sciences, Computer science, Science |
| More Details: |
Summary: The phenotype-first approach (PFA) and data-driven approach (DDA) have both greatly facilitated anthropological studies and the mapping of trait-associated genes. However, the pros and cons of the two approaches are poorly understood. Here, we systematically evaluated the two approaches and analyzed 14,838 facial traits in 2,379 Han Chinese individuals. Interestingly, the PFA explained more facial variation than the DDA in the top 100 and 1,000 except in the top 10 phenotypes. Accordingly, the ratio of heterogeneous traits extracted from the PFA was much greater, while more homogenous traits were found using the DDA for different sex, age, and BMI groups. Notably, our results demonstrated that the sex factor accounted for 30% of phenotypic variation in all traits extracted. Furthermore, we linked DDA phenotypes to PFA phenotypes with explicit biological explanations. These findings provide new insights into the analysis of multidimensional phenotypes and expand the understanding of phenotyping approaches. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2589-0042 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2589004224005467; https://doaj.org/toc/2589-0042 |
| DOI: |
10.1016/j.isci.2024.109325 |
| Access URL: |
https://doaj.org/article/3a0793665b8d4bf6ad3c43a65c2336cb |
| Accession Number: |
edsdoj.3a0793665b8d4bf6ad3c43a65c2336cb |
| Database: |
Directory of Open Access Journals |
