3D Analysis of Normal Facial Variation: Data Repository and Genetics
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3D Analysis of Normal Facial Variation: Data Repository and Genetics. Principal Investigators Seth M. Weinberg, PhD (U Pitt) Mary L. Marazita, PhD (U Pitt) Co-Investigators Michael Cunningham, MD, PhD (U Wash) Jacqueline Hecht, PhD (UT Houston) Karen T.Cuenco , PhD (U Pitt)

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3D Analysis of Normal Facial Variation: Data Repository and Genetics

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3d analysis of normal facial variation data repository and genetics

3D Analysis of Normal Facial Variation: Data Repository and Genetics

  • Principal Investigators

  • Seth M. Weinberg, PhD (U Pitt)

  • Mary L. Marazita, PhD (U Pitt)

  • Co-Investigators

  • Michael Cunningham, MD, PhD (U Wash)

  • Jacqueline Hecht, PhD (UT Houston)

  • Karen T.Cuenco, PhD (U Pitt)

  • Consultants

  • Chung How Kau, BDS, MScD, PhD (UA Birm)


3d analysis of normal facial variation data repository and genetics

Aims

Create a normative data repository containing3D facial surface images, facial measurements, GWA markers and demographic descriptors from 3500 individuals aged 5 – 40.

Example of a 3D facial surface captured through stereophotogrammetry

Utilize this data repository to identify genetic loci that influence quantitative variation in facial shape

Using morphometric methods to visualize genotype-phenotype correlations


3d analysis of normal facial variation data repository and genetics

Progress

  • IRB approval at all three sites (several rounds of modification)

  • Built infrastructure at coordinating center (Pitt) to receive data from collection sites

  • FaceBase Human Data Working Group documents and policies

  • CSOC approval

  • Tentative approval from NIDCR to begin recruitment

  • Revised NGA imminent


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