Craniofacial Features Normative Database (CFND)

Advancing our understanding of craniofacial disorders

A team of Seattle Children's investigators, led by Dr. Carrie Heike , is building the Craniofacial Features Normative Database (CFND) to identify which genes contribute to variations in facial features.

To accomplish this, we are using advanced, 3-D photography to capture images of thousands of study volunteers who don't have craniofacial conditions. These images help us quantify normal facial features, providing a valuable baseline for investigating craniofacial conditions.

The CFND data will initially be used to identify how craniofacial features are affected by 22q.11.2 deletion syndrome , a genetic disorder that can cause a child to be born with a cleft lip and other health problems. Ultimately, we hope to use the data to advance our understanding of many other craniofacial conditions, a key step toward improving how we diagnose and treat these disorders.

Learn about volunteering to participate in this research .

CFND goals and inclusion criteria

The CFND study was initiated in 2006. Our CFND research team and a subset of the participants in the CFND also participate in the FaceBase study , a national study with similar goals.

Primary aim 1  

To characterize the distribution of quantifiable craniofacial characteristics in individuals without known conditions affecting craniofacial features. 

Primary aim 2  

To use this repository to characterize the craniofacial variation in conditions that affect craniofacial features.

Secondary aim  

To explore the use of shape descriptors applied to 3-D images to characterize typical and atypical facial features.

Inclusion criteria  

  • Age 3 to 40
  • No condition known to affect craniofacial features
  • No prior significant injury or surgery affecting facial features