Professional Education


  • Doctor of Philosophy, Cornell University (2016)
  • Bachelor of Science, University of Florida (2005)

Stanford Advisors


All Publications


  • Insights into the genetic architecture of the human face. Nature genetics White, J. D., Indencleef, K., Naqvi, S., Eller, R. J., Hoskens, H., Roosenboom, J., Lee, M. K., Li, J., Mohammed, J., Richmond, S., Quillen, E. E., Norton, H. L., Feingold, E., Swigut, T., Marazita, M. L., Peeters, H., Hens, G., Shaffer, J. R., Wysocka, J., Walsh, S., Weinberg, S. M., Shriver, M. D., Claes, P. 2020

    Abstract

    The human face is complex and multipartite, and characterization of its genetic architecture remains challenging. Using a multivariate genome-wide association study meta-analysis of 8,246 European individuals, we identified 203 genome-wide-significant signals (120 also study-wide significant) associated with normal-range facial variation. Follow-up analyses indicate that the regions surrounding these signals are enriched for enhancer activity in cranial neural crest cells and craniofacial tissues, several regions harbor multiple signals with associations to different facial phenotypes, and there is evidence for potential coordinated actions of variants. In summary, our analyses provide insights into the understanding of how complex morphological traits are shaped by both individual and coordinated genetic actions.

    View details for DOI 10.1038/s41588-020-00741-7

    View details for PubMedID 33288918

  • FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research. Development (Cambridge, England) Samuels, B. D., Aho, R., Brinkley, J. F., Bugacov, A., Feingold, E., Fisher, S., Gonzalez-Reiche, A. S., Hacia, J. G., Hallgrimsson, B., Hansen, K., Harris, M. P., Ho, T., Holmes, G., Hooper, J. E., Jabs, E. W., Jones, K. L., Kesselman, C., Klein, O. D., Leslie, E. J., Li, H., Liao, E. C., Long, H., Lu, N., Maas, R. L., Marazita, M. L., Mohammed, J., Prescott, S., Schuler, R., Selleri, L., Spritz, R. A., Swigut, T., van Bakel, H., Visel, A., Welsh, I., Williams, C., Williams, T. J., Wysocka, J., Yuan, Y., Chai, Y. 2020; 147 (18)

    Abstract

    The FaceBase Consortium was established by the National Institute of Dental and Craniofacial Research in 2009 as a 'big data' resource for the craniofacial research community. Over the past decade, researchers have deposited hundreds of annotated and curated datasets on both normal and disordered craniofacial development in FaceBase, all freely available to the research community on the FaceBase Hub website. The Hub has developed numerous visualization and analysis tools designed to promote integration of multidisciplinary data while remaining dedicated to the FAIR principles of data management (findability, accessibility, interoperability and reusability) and providing a faceted search infrastructure for locating desired data efficiently. Summaries of the datasets generated by the FaceBase projects from 2014 to 2019 are provided here. FaceBase 3 now welcomes contributions of data on craniofacial and dental development in humans, model organisms and cell lines. Collectively, the FaceBase Consortium, along with other NIH-supported data resources, provide a continuously growing, dynamic and current resource for the scientific community while improving data reproducibility and fulfilling data sharing requirements.

    View details for DOI 10.1242/dev.191213

    View details for PubMedID 32958507

  • Meta-analysis identifies 48 SNPs with multiple independent effects on human facial features White, J. D., Roosenboom, J., Indencleef, K., Mohammed, J., Li, J., Ortega-Castrillon, A., Swigut, T., Lee, M., Gonzalez-Zarzar, T., Zaidi, A. A., Shaffer, J. R., Feingold, E., Richmond, S., Eller, R. J., Walsh, S., Marazita, M. L., Wysocka, J., Weinberg, S. M., Claes, P., Shriver, M. D. WILEY. 2019: 267