Abstract
The rapid improvements in identifying the genetic factors contributing to facial morphology have enabled the early identification of craniofacial syndromes. Similarly, this technology can be vital in forensic cases involving human identification from biological traces or human remains, especially when reference samples are not available in the deoxyribose nucleic acid (DNA) database. This review summarizes the currently used methods for predicting human phenotypes such as age, ancestry, pigmentation, and facial features based on genetic variations. To identify the facial features affected by DNA, various two-dimensional (2D)- and three-dimensional (3D)-scanning techniques and analysis tools are reviewed. A comparison between the scanning technologies is also presented in this review. Face-landmarking techniques and face-phenotyping algorithms are discussed in chronological order. Then, the latest approaches in genetic to 3D face shape analysis are emphasized. A systematic review of the current markers that passed the threshold of a genome-wide association (GWAS) of single nucleotide polymorphism (SNP)-face traits from the GWAS Catalog is also provided using the preferred reporting items for systematic reviews and meta-analyses (PRISMA), approach. Finally, the current challenges in forensic DNA phenotyping are analyzed and discussed.
Document Type
Journal Article
Date of Publication
1-3-2023
Volume
14
Issue
1
PubMed ID
36672878
Publication Title
Genes
Publisher
MDPI
School
School of Medical and Health Sciences
RAS ID
56439
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Alshehhi, A., Almarzooqi, A., Alhammadi, K., Werghi, N., Tay, G. K., & Alsafar, H. (2023). Advancement in human face prediction using DNA. Genes, 14(1), Article 136. https://doi.org/10.3390/genes14010136