ReviewFrontiers in genetics2018
Facial Genetics: A Brief Overview.
Review in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancement in Human Face Prediction Using DNA.Genes · 2023Pooled it
- Analysis of mandibular trabecular bone by fractal analysis in children born with oral cleft.BMC oral health · 2026Article
- Principal component analysis of 3-dimensional facial soft-tissue morphology in three adult populations.Scientific reports · 2026Article
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives.Genes · 2026Review
- Combined genome-wide association study of facial traits in Europeans increases explained variance and improves prediction.Nature communications · 2025Article
- Exploring the association between SNPs and facial morphology in a Spanish population.Scientific reports · 2025Article
- A 3D Clinical Face Phenotype Space of Genetic Syndromes Using a Triplet-Based Singular Geometric Autoencoder.IEEE access : practical innovations, open solutions · 2025Article
- Article
- Comparison of Different 3D Surface Registration-Based Methods to Assess Facial Asymmetry.Diagnostics (Basel, Switzerland) · 2024Article
- Article
- Genetic and environmental contributions to the development of soft tissue facial profile: a twin study.European journal of orthodontics · 2024Article
- Craniofacial Measurements and Indices Trends in Latvian Children Aged 1-15.Children (Basel, Switzerland) · 2024Article
- Approximating facial expression effects on diagnostic accuracy via generative AI in medical genetics.Bioinformatics (Oxford, England) · 2024Article
- Dynamic enhancer landscapes in human craniofacial development.Nature communications · 2024Article
- Multi-Quantifying Maxillofacial Traits via a Demographic Parity-Based AI Model.BME frontiers · 2024Article
- Article
- The face as folded object: Race and the problems with 'progress' in forensic DNA phenotyping.Social studies of science · 2023Article
- Review
- Clinical application of facial aging clocks.The Lancet regional health. Western Pacific · 2023Article
- An Innovative Three-Stage Model for Prenatal Genetic Disorder Detection Based on Region-of-Interest in Fetal Ultrasound.Bioengineering (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Historically, craniofacial genetic research has understandably focused on identifying the causes of craniofacial anomalies and it has only been within the last 10 years, that there has been a drive to detail the biological basis of normal-range facial variation. This initiative has been facilitated by the availability of low-cost hi-resolution three-dimensional systems which have the ability to capture the facial details of thousands of individuals quickly and accurately. Simultaneous advances in genotyping technology have enabled the exploration of genetic influences on facial phenotypes, both in the present day and across human history. There are several important reasons for exploring the genetics of normal-range variation in facial morphology. - Disentangling the environmental factors and relative parental biological contributions to heritable traits can help to answer the age-old question "why we look the way that we do?" - Understanding the etiology of craniofacial anomalies; e.g., unaffected family members of individuals with non-syndromic cleft lip/palate (nsCL/P) have been shown to differ in terms of normal-range facial variation to the general population suggesting an etiological link between facial morphology and nsCL/P. - Many factors such as ancestry, sex, eye/hair color as well as distinctive facial features (such as, shape of the chin, cheeks, eyes, forehead, lips, and nose) can be identified or estimated using an individual's genetic data, with potential applications in healthcare and forensics. - Improved understanding of historical selection and adaptation relating to facial phenotypes, for example, skin pigmentation and geographical latitude. - Highlighting what is known about shared facial traits, medical conditions and genes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.