Herrick N et al., Human Genetics and Genomics Advances - Orofacial clefts are among the most common birth defects, affecting about 1 in 700 births, yet known genetic signals explain only a fraction of their heritability, and cleft studies cannot reach the huge sample sizes used for traits like height. This study borrowed statistical power from a related trait: the genetics of normal human face shape. Using a pleiotropy-informed method called conditional false discovery rate, the team re-analyzed an existing GWAS of nonsyndromic cleft lip with or without cleft palate and found new candidate risk loci, three of which passed a 5% FDR threshold in an independent replication cohort. Key terms: orofacial cleft, facial shape, GWAS, conditional false discovery rate, pleiotropy.
Study Highlights:
The team conditioned summary statistics from a European nsCL/P GWAS of 3,969 individuals on two independent facial shape GWASs, from 4,680 US and 3,566 UK individuals. SNPs associated with nsCL/P were enriched among SNPs associated with facial shape but not among those for unrelated traits such as height, schizophrenia or LDL cholesterol. The cFDR approach identified 21 independent loci at a 5% threshold and 15 more at 10%, and the new loci had effect sizes comparable to known ones, with no significant difference in a Mann-Whitney U test (p = 0.26). Of 13 new lead SNPs tested in The Cleft Collective cohort of 1,084 affected individuals and 7,913 controls, five replicated at p < 0.05, and loci near MSX2, ASPSCR1 and FHOD3 passed a 5% FDR threshold. Spatial transcriptomics of a Carnegie stage 13 human embryo showed expression and gene specificity scores for these genes in the pharyngeal arches, among other regions.
Conclusion:
Leveraging the shared genetics of face shape and clefting can recover cleft risk loci that a standard GWAS of the same data misses, and it supports the long-standing idea that embryonic face shape is itself part of cleft risk. The analysis is limited to people of European ancestry, the authors expect about 10% of the 36 loci to be false positives, not every new locus replicated, and the expression data support but do not prove a role for the candidate genes.
Article title:
Leveraging the genetics of human face shape boosts the discovery of orofacial cleft risk loci
First author:
Herrick N
Journal:
Human Genetics and Genomics Advances
DOI:
10.1016/j.xhgg.2026.100655
Reference:
Herrick N., Goovaerts S., Manchel A., Lee M.K., Zhang X., Davies A., et al. Leveraging the genetics of human face shape boosts the discovery of orofacial cleft risk loci. Human Genetics and Genomics Advances, 7, 100655. (2026). https://doi.org/10.1016/j.xhgg.2026.100655
License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
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QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-10-27.
QC Scope:
- article metadata and core scientific claims from the narration
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- transcript coverage: All scientific...
Chapters
- (00:00:03) - Introduction: Face Shape and Clefts
- (00:01:21) - The Study and Researchers
- (00:02:18) - Background on Orofacial Clefts
- (00:03:28) - The Face-Cleft Genetic Link Hypothesis
- (00:04:46) - The CFDR Method Explained
- (00:05:21) - Study Data and Controls
- (00:07:01) - Analysis Details and Validation Approach
- (00:07:41) - Results: Face Shape as a Predictive Map
- (00:08:17) - Main Findings: New Cleft Loci Discovered
- (00:08:49) - Comparing US and UK Cohorts
- (00:09:23) - Are New Loci Real? Effect Size Check
- (00:09:56) - Replication in the Cleft Collective Cohort
- (00:11:06) - Regional Plots of Three Candidate Genes
- (00:11:36) - Gene Expression in the Embryo
- (00:12:41) - Spatial Genetic Risk Mapping (GSMap)
- (00:13:17) - MSX2: A Known Suspect Confirmed
- (00:13:53) - ASPSCR1 and FHOD3: New Biological Clues
- (00:15:05) - Bigger Picture: Shared Genetic Architecture
- (00:16:10) - Limitations of the Study
- (00:16:48) - Conclusions and Closing Thoughts