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News & Events | FaceBase

Slides and webcasts from the 2025 FaceBase Forum are now available!

News & Events

Data release: Identification of lymphatic vessels in skull periosteum but not bone marrow reveals skull channel heterogeneity (18 September 2025)

This dataset has been released to FaceBase by Dr. Jian-Fu Chen’s group of the University of Southern California. A related manuscript is in preparation; in the meantime, these data are available for the community.

FaceBase Dataset:

Identification of lymphatic vessels in skull periosteum but not bone marrow reveals skull channel heterogeneity
Principal Investigator: Jianfu Chen (University of Southern California)
DOI: https://doi.org/10.25550/8R-NM0R

Description:

We identified lymphatic vessels at the skull periosteum and found no evidence of lymphatic vessels in the cortical bones or skull bone marrow, where the lymphatic marker VEGFR3 labels blood vessels. Skull periosteum channels to the upper skin are found to occur more frequently in parietal bone than interparietal bone, whereas bone marrow is found more often in interparietal bone than parietal bone. Despite skull bone marrow expansion during aging, skull channels are significantly reduced, suggesting of aging-dependent uncoupling between skull channels and bone marrow. Together, our findings show lymphatic vessels are present in the skull periosteum but absent in bone marrow, with channel and bone marrow heterogeneity varying by skull region and age.


Data release: OPT imaging of the craniofacial morphology of control and Shroom3 null embryos (15 September 2025)

Through integrating Kids First whole genome sequencing with eQTL analyses and supporting 3D imaging data from Shroom3 mouse models, Timothy Cox’s lab has identified SHROOM3 as a bona fide craniofacial microsomia gene. The mouse embryo imaging data from this study is now openly available through FaceBase.

Shroom3 morphometrics image from Zhu et al 2025

FaceBase Dataset:

Optical Projection Tomography imaging of the craniofacial morphology of control and Shroom3 null embryos
Principal Investigator: Timothy Cox (University of Missouri-Kansas City)
DOI: https://doi.org/10.25550/7E-Y876

Related Publication:

Zhu H, et al. Common cis-regulatory variation modifies the penetrance of pathogenic SHROOM3 variants in craniofacial microsomia. Genome Res. 2025 May 2;35(5):1065-1079. doi: 10.1101/gr.280047.124. PMID: 40234029; PMCID: PMC12047249.

Description:

This study followed up on a prior GWAS conducted a large cohort of Chinese patients with craniofacial microsomia (CFM) in which multiple associated genomic loci were identified. Using whole genome sequencing data from 2009 patients with CFM, including data from the Gabriella Miller Kids First program, and 2625 population controls, we analyzed candidate CFM genes within these GWAS peaks and found a significant enrichment of rare variants in one candidate gene, SHROOM3. Subsequent analysis of public expression QTL (eQTL) data revealed numerous eQTLs within the SHROOM3 GWAS peak, prompting us to consider whether eQTLs in combination with the rare variants might determine the presentation of CFM. Allelic phasing identified specific haplotypes in CFM patients, but not in controls, that contained multiple eQTLs in cis with the rare SHROOM3 coding variants. Subsequent luciferase assays confirmed the functional impact of many of these eQTL SNPs. Our findings support the notion that the penetrance of rare variants, that might otherwise be ignored in bioinformatic pipelines because they are seen in unaffected individuals, is influenced by combinations of in cis eQTLs - that is, the expression level of the mutant heterozygous allele may determine the penetrance. Under this premise, we conducted 3D imaging of embryos from two separate Shroom3 mutant lines of mice and performed a morphometric analysis of facial and auricular tissues of wild-type as well as Shroom3 heterozygous and homozygous embryos. These analyses in both models showed Shroom3 gene dosage-dependent effects on both external ear size and maxillary and mandibular growth and, importantly facial asymmetry, providing validation of SHROOM3 as a bona fide CFM gene.

All new sequencing data has been submitted to the National Genomics Data Center (https://ngdc.cncb.ac.cn/gsa-human) under accession numbers HRA005132, HRA004333, HRA003925, and HRA003924. Raw, reconstructed, and rendered optical projection tomography (OPT) data for all mouse embryos of the Shroom3gt strain used for the morphometric analyses is available now on FaceBase (https://doi.org/10.25550/7E-Y876). MicroCT datasets of the Shroom3 null allele strain are available through the IMPC website with IDs 157760 (wildtype) and 612303 (homozygous) (https://www.mousephenotype.org/embryoviewer/?mgi=MGI%3A1351655).


Meeting Summary Report from the 2025 FaceBase Forum (26 August 2025)

We have now posted the Meeting Summary report that provides a detailed overview of the program and identified action items from the 2025 FaceBase Community Forum. Thanks go out again to all participants and attendees who helped make this one of our best Community Forums to date!

You can find more meeting materials on our event page: 2025 FaceBase Annual Community Forum.

And stay tuned for initial details about next year’s Forum!

Photo of attendees at this year's FaceBase Forum in Marina del Rey


Data releases: Oro Facial Cleft and Oral Health Disparities (28 July 2025)

We are excited to announce new data releases on deep phenotyping of orofacial cleft and discovering oral health disparities in Appalachia:

Oral-Facial Cleft

Images from the Pittsburgh Orofacial Cleft (OFC) Birth Defects Study

Map of diverse populations included in the OFC studies.

Oral-Facial Cleft Families: Phenotype and Genetics (OFC1)
Principal Investigators: Mary L. Marazita and Seth Weinberg (University of Pittsburgh)
DOI: https://doi.org/10.25550/5A-FJBJ

Pittsburgh Oral Facial Cleft Studies: Extending the Phenotype of Nonsyndromic Orofacial Clefting (OFC2)
Principal Investigators: Mary L. Marazita and Seth Weinberg (University of Pittsburgh)
DOI: https://doi.org/10.25550/56-ES6P

Description:

Two comprehensive datasets from the University of Pittsburgh project Genetics, Genomics and Deep Phenotyping of Orofacial Clefts are now available on FaceBase. The OFC1 dataset comprises data from 29,369 individuals across 29 global sites, while OFC2 includes 24,754 participants from 6 international locations. Led by Drs. Mary Marazita and Seth Weinberg, these studies aim to identify genetic loci and other etiologic factors associated with nonsyndromic orofacial clefts (OFC), including cleft lip (CL), cleft palate (CP), and CL with or without CP (CL/P). Through deep phenotyping—including 3D facial imaging, dental assessments, intraoral photography, and psychosocial and medical histories—these datasets provide richly detailed profiles of individuals with OFC, their relatives, and unaffected controls. The integration of phenotypic data with genomic analyses (SNP genotyping and whole genome sequencing) enables refined gene-mapping and exploration of broader trait associations.

Oral Health Disparities

Conceptual models of the multidisciplinary studes of COHRA1 and COHRA2

COHRA2: Factors Contributing to Oral Health Disparities in Appalachia
Principal Investigators: Mary L. Marazita (University of Pittsburgh), Betsy Foxman (University of Michigan), John R. Shaffer (University of Pittsburgh), Daniel W. McNeil (West Virginia University)
DOI: https://doi.org/10.25550/4Y-4SK4

Related dataset: Center for Oral Health Research in Appalachia, Cohort 1 (COHRA1): a study of northern Appalachian households (Released in 2023)
Principal Investigators: Mary L. Marazita (University of Pittsburgh), Daniel W. McNeil (West Virginia University), John R. Shaffer (University of Pittsburgh), Betsy Foxman (University of Michigan)
DOI: https://doi.org/10.25550/2Q-M86G

Description:

The overarching goal of the Center for Oral Health Research in Appalachia (COHRA2) study is to delineate the covariation between genetic, behavioral, family, and community factors associated with oro-dental disease and tooth loss in rural and urban northern Appalachian families (West Virginia and Pennsylvania). The COHRA2 study investigated factors that contribute to the disparately increased rates of dental caries in children living in Northern Appalachia from birth through age ten years. Specifically, the study focused on the microbiological community that develops in babies before they have teeth, as well as genetic and behavioral/environmental factors of both mothers and babies that predispose children to caries after their teeth erupt. The COHRA2 study was a longitudinal, family-based cohort study with one group with data for 2972 Subjects from 829 households. You can also find the COHRA1 related data set here.

NOTE: All of the above datasets are restricted-access human data. To gain access to this data, you must first go through the process outlined here.


Public Meeting Materials from the 2025 FaceBase Forum (30 June 2025)

The 2025 FaceBase Annual Community Forum, held on June 3 & 4 at the Information Sciences Institute in Marina del Rey, CA, demonstrated the newly emerging capabilities of FaceBase to support not only dental, oral and craniofacial (DOC) research and studies across the translational spectrum, but also in related health domains and systems. We introduced new collaborations with the National Institute of Deafness and Communication Disorders (NIDCD), explored integrating clinical elements into FaceBase with the description of an upcoming pilot, introduced the cutting edge technology of Dynamic MRI, discovered advances in basic DOC research and much, much more. FaceBase also announced their exciting roadmap for the next four years, emphasizing data integration, AI and machine learning applications, and future goals for enhancing research capabilities.

Below you will find comprehensive materials from the one-and-half-days event.

Photo of attendees at this year's FaceBase Forum in Marina del Rey

Slides and Webcasts from Presentations and Panels

Presentation Presenter(s) Slides Webcast/Video
Introduction Yang Chai, D.D.S., Ph.D. (USC) Slides Webcast
FACEBASE: Empowering Data-Driven Research to Achieve Oral Health for All Jennifer Webster-Cyriaque, D.D.S., Ph.D. (NIDCR/NIH) Slides Webcast
An Introduction to FaceBase’s Newest Partner: NIDCD… and the Temporal Bone Debara L. Tucci, M.D., M.S., M.B.A. (NIDCD/NIH) Slides Webcast
FaceBase PI Community Forum Susan Gregurick, Ph.D. (ODSS/NIH) Webcast
FaceBase 4 Roadmap Carl Kesselman, Ph.D. and Rob Schuler, Ph.D. (USC) Slides Webcast
The Need for High Quality Data for Data Reuse and Machine Learning Helen M. Berman, Ph.D. (USC) Slides Webcast
Long Range Gene Regulation of the Developing Human Face Justin Cotney, Ph.D. (CHOP) Slides
Beaks, Bones, and Beyond: Using Avian Models to Study Development Samantha Brugmann, Ph.D. (Cincinnati Children's Hospital) Slides
Panel: Incorporating Relevant Clinical Elements into FaceBase Webcast
From panel: Bridging Repositories and Clinical Decision-Making Anette Vistoso Monreal, D.D.S., M.S. (USC) Slides
From panel: myTMJ - A Digital Solution for Orofacial Pain Mohammad Khalifeh, D.D.S., M.S. (USC) Slides
Approaches to Integration of Clinical Data into FaceBase Thomas Peterson, Ph.D. (UCSF) Slides Webcast
AI in TMD and Orofacial Pain Diagnosis Glenn Clark, D.D.S, M.S. and Anette Vistoso Monreal, D.D.S., M.S. (USC) Slides Webcast
Dynamic MRI to Study TMD and Craniofacial Conditions Krishna S. Nayak, Ph.D. (USC) Slides Video Demo
Vision for Data Science in Craniofacial Research Axel Visel, Ph.D. (LBNL) Slides Webcast
How FaceBase Data Helped Develop Pediatric Respirators Christopher Nemeth, Ph.D. (ARA) and Benedikt Hallgrímsson, Ph.D. (U Calgary) Slides Webcast
Panel: Leveraging FaceBase in Related Health Domains Carl Kesselman, Yang Chai, Benjamin Xu, Jennifer Kalish, Axel Visel Webcast

Poster Session Presenters

Poster Title Presenter(s) Poster PDF Abstract
Ameloblastin Multitargeting Domain Influences Ameloblast Gene Expression During Enamel Formation Rucha A. Bapat (University of Southern California) Not available Not available
FaceBase: Data Resources for Craniofacial and Dental Development, Molecular Genetics, and Genomics Alejandro Bugacov (Information Sciences Institute) Poster PDF Abstract
High-resolution spatial transcriptomics and cell lineage analysis reveal spatiotemporal cell fate determination during craniofacial development Jifan Feng (University of Southern California) Poster PDF Abstract
Trp53 Coordinates with Hippo Signaling During Tooth Root Development Tingwei Guo (University of Southern California) Poster PDF Abstract
Dysregulated chondrocyte formation as a novel mechanism of lambdoid synostosis Fenglei He (Tulane University) Poster PDF Abstract

All our thanks go to those esteems speakers and panelists and to all who joined us! Looking forward to seeing you at next year’s Forum!