%0 Journal Article %1 10.1371/journal.pgen.1004224 %A Claes, Peter %A Liberton, Denise K. %A Daniels, Katleen %A Rosana, Kerri Matthes %A Quillen, Ellen E. %A Pearson, Laurel N. %A McEvoy, Brian %A Bauchet, Marc %A Zaidi, Arslan A. %A Yao, Wei %A Tang, Hua %A Barsh, Gregory S. %A Absher, Devin M. %A Puts, David A. %A Rocha, Jorge %A Beleza, Sandra %A Pereira, Rinaldo W. %A Baynam, Gareth %A Suetens, Paul %A Vandermeulen, Dirk %A Wagner, Jennifer K. %A Boster, James S. %A Shriver, Mark D. %D 2014 %I Public Library of Science %J PLOS Genetics %K 2014 3D biology detection %N 3 %P 1-14 %R 10.1371/journal.pgen.1004224 %T Modeling 3D Facial Shape from DNA %U https://doi.org/10.1371/journal.pgen.1004224 %V 10 %X Author Summary The face is perhaps the most inherently fascinating and aesthetic feature of the human body. It is a principle subject of art throughout human history and across cultures and populations. It provides the most significant means by which we communicate our emotions and intentions in addition to health, sex, and age. And yet features such as the strength of the brow ridge, the spacing between the eyes, the width of the nose, and the shape of the philtrum are largely scientifically unexplained. Here, we use a novel method to measure face shape in population samples with mixed West African and European ancestry from three locations (United States, Brazil, and Cape Verde). We show that facial variation with regard to sex, ancestry, and genes can be systematically studied with our methods, allowing us to lay the foundation for predictive modeling of faces. Such predictive modeling could be forensically useful; for example, DNA left at crime scenes could be tested and faces predicted in order to help to narrow the pool of potential suspects. Further, our methods could be used to predict the facial features of descendants, deceased ancestors, and even extinct human species. In addition, these methods could prove to be useful diagnostic tools.

@article{10.1371/journal.pgen.1004224, abstract = {Author Summary The face is perhaps the most inherently fascinating and aesthetic feature of the human body. It is a principle subject of art throughout human history and across cultures and populations. It provides the most significant means by which we communicate our emotions and intentions in addition to health, sex, and age. And yet features such as the strength of the brow ridge, the spacing between the eyes, the width of the nose, and the shape of the philtrum are largely scientifically unexplained. Here, we use a novel method to measure face shape in population samples with mixed West African and European ancestry from three locations (United States, Brazil, and Cape Verde). We show that facial variation with regard to sex, ancestry, and genes can be systematically studied with our methods, allowing us to lay the foundation for predictive modeling of faces. Such predictive modeling could be forensically useful; for example, DNA left at crime scenes could be tested and faces predicted in order to help to narrow the pool of potential suspects. Further, our methods could be used to predict the facial features of descendants, deceased ancestors, and even extinct human species. In addition, these methods could prove to be useful diagnostic tools.}, added-at = {2018-08-21T19:46:48.000+0200}, author = {Claes, Peter and Liberton, Denise K. and Daniels, Katleen and Rosana, Kerri Matthes and Quillen, Ellen E. and Pearson, Laurel N. and McEvoy, Brian and Bauchet, Marc and Zaidi, Arslan A. and Yao, Wei and Tang, Hua and Barsh, Gregory S. and Absher, Devin M. and Puts, David A. and Rocha, Jorge and Beleza, Sandra and Pereira, Rinaldo W. and Baynam, Gareth and Suetens, Paul and Vandermeulen, Dirk and Wagner, Jennifer K. and Boster, James S. and Shriver, Mark D.}, biburl = {https://www.bibsonomy.org/bibtex/20f9660e60114ea23f47e06de306635b8/analyst}, description = {Modeling 3D Facial Shape from DNA}, doi = {10.1371/journal.pgen.1004224}, interhash = {c9004d7eb37a5868a1c139639f44d9b6}, intrahash = {0f9660e60114ea23f47e06de306635b8}, journal = {PLOS Genetics}, keywords = {2014 3D biology detection}, month = {03}, number = 3, pages = {1-14}, publisher = {Public Library of Science}, timestamp = {2018-08-21T19:46:48.000+0200}, title = {Modeling 3D Facial Shape from DNA}, url = {https://doi.org/10.1371/journal.pgen.1004224}, volume = 10, year = 2014 }