FaceSNPs: Identifying FaceRelated SNPs from the Human Genome The human face is an important part of the human body. Finding SNPs associated with its different regions can open doors to deeper understanding of different genetic diseases affecting the face, improve genotypetophenotype analysis for forensics, etc. In this work we propose a process for constructing a panel of SNPs associated with the human face leveraging a database of published work on different face regions. We validate our selection by using them to predict human biogeographical ancestry at both continent and subcontinent levels, as well as by manual confirmation of selected genes. Although our process makes no assumptions on ancestry informativeness of selected SNPs, our SNP panel perform comparatively well at the task, with some subsets outperforming those from published work. We also highlight geneschromosomes that promise better discriminative power to help those under resource constraint focus on only a few geneschromosomes for further analyses.

Proximity Search Method for Mining Biomedical and Genomic Information The human face is an important part of the human body. Finding SNPs associated with its different regions can open doors to deeper understanding of different genetic diseases affecting the face, improve genotypetophenotype analysis for forensics, etc. In this work we propose a process for constructing a panel of SNPs associated with the human face leveraging a database of published work on different regions of the face and applying proximity search to ensure relevant selections of publications. We validate the process by selecting top SNPs ranked using standard metrics to make predictions on human biogeographical ancestry at the continent level. Although our process makes no assumptions on ancestry informativeness of SNPs, our panel, grouped by chromosomes, performs comparatively well at the task of ancestry classification. Our results highlight geneschromosomes that promise better discriminative power to help those under resource constraint focus on only a few geneschromosomes for further analyses.