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Candidate gene analyses of 3-dimensional dentoalveolar phenotypes in subjects with malocclusion.

ABSTRACT: Genetic studies of malocclusion etiology have identified 4 deleterious mutations in genes DUSP6,ARHGAP21, FGF23, and ADAMTS1 in familial Class III cases. Although these variants may have large impacts on Class III phenotypic expression, their low frequency (<1%) makes them unlikely to explain most malocclusions. Thus, much of the genetic variation underlying the dentofacial phenotypic variation associated with malocclusion remains unknown. In this study, we evaluated associations between common genetic variations in craniofacial candidate genes and 3-dimensional dentoalveolar phenotypes in patients with malocclusion.Pretreatment dental casts or cone-beam computed tomographic images from 300 healthy subjects were digitized with 48 landmarks. The 3-dimensional coordinate data were submitted to a geometric morphometric approach along with principal component analysis to generate continuous phenotypes including symmetric and asymmetric components of dentoalveolar shape variation, fluctuating asymmetry, and size. The subjects were genotyped for 222 single-nucleotide polymorphisms in 82 genes/loci, and phenotpye-genotype associations were tested via multivariate linear regression.Principal component analysis of symmetric variation identified 4 components that explained 68% of the total variance and depicted anteroposterior, vertical, and transverse dentoalveolar discrepancies. Suggestive associations (P < 0.05) were identified with PITX2, SNAI3, 11q22.2-q22.3, 4p16.1, ISL1, and FGF8. Principal component analysis for asymmetric variations identified 4 components that explained 51% of the total variations and captured left-to-right discrepancies resulting in midline deviations, unilateral crossbites, and ectopic eruptions. Suggestive associations were found with TBX1AJUBA, SNAI3SATB2, TP63, and 1p22.1. Fluctuating asymmetry was associated with BMP3 and LATS1. Associations for SATB2 and BMP3 with asymmetric variations remained significant after the Bonferroni correction (P <0.00022). Suggestive associations were found for centroid size, a proxy for dentoalveolar size variation with 4p16.1 and SNAI1.Specific genetic pathways associated with 3-dimensional dentoalveolar phenotypic variation in malocclusions were identified.

SUBMITTER: Weaver CA

PROVIDER: S-EPMC5358674 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Candidate gene analyses of 3-dimensional dentoalveolar phenotypes in subjects with malocclusion.

Weaver Cole A CA Miller Steven F SF da Fontoura Clarissa S G CS Wehby George L GL Amendt Brad A BA Holton Nathan E NE Allareddy Veeratrishul V Southard Thomas E TE Moreno Uribe Lina M LM

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics 20170301 3

<h4>Introduction</h4>Genetic studies of malocclusion etiology have identified 4 deleterious mutations in genes DUSP6,ARHGAP21, FGF23, and ADAMTS1 in familial Class III cases. Although these variants may have large impacts on Class III phenotypic expression, their low frequency (<1%) makes them unlikely to explain most malocclusions. Thus, much of the genetic variation underlying the dentofacial phenotypic variation associated with malocclusion remains unknown. In this study, we evaluated associa ...[more]

PMID: 28257739

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Project description:This study evaluated associations between craniofacial candidate genes and skeletal variation in patients with malocclusion. Lateral cephalometric radiographs of 269 untreated adults with skeletal classes I, II, and III malocclusion were digitized with 14 landmarks. Two-dimensional coordinates were analyzed using Procrustes fit and principal component (PC) analysis to generate continuous malocclusion phenotypes. Skeletal class classifications (I, II, or III) were used as a categorical phenotype. Individuals were genotyped for 198 single-nucleotide polymorphisms (SNPs) in 71 craniofacial genes and loci. Phenotype-genotype associations were tested via multivariate linear regression for continuous phenotypes and multinomial logistic regression for skeletal malocclusion class. PC analysis resulted in 4 principal components (PCs) explaining 69% of the total skeletal facial variation. PC1 explained 32.7% of the variation and depicted vertical discrepancies ranging from skeletal deep to open bites. PC1 was associated with a SNP near PAX5 (P = 0.01). PC2 explained 21.7% and captured horizontal maxillomandibular discrepancies. PC2 was associated with SNPs upstream of SNAI3 (P = 0.0002) and MYO1H (P = 0.006). PC3 explained 8.2% and captured variation in ramus height, body length, and anterior cranial base orientation. PC3 was associated with TWIST1 (P = 0.000076). Finally, PC4 explained 6.6% and detected variation in condylar inclination as well as symphysis projection. PC4 was associated with PAX7 (P = 0.007). Furthermore, skeletal class II risk increased relative to class I with the minor alleles of SNPs in FGFR2 (odds ratio [OR] = 2.1, P = 0.004) and declined with SNPs in EDN1 (OR = 0.5, P = 0.007). Conversely, skeletal class III risk increased versus class I with SNPs in FGFR2 (OR 2.2, P = 0.005) and COL1A1 (OR = 2.1, P = 0.008) and declined with SNPs in TBX5 (OR = 0.5, P = 0.014). PAX5, SNAI3, MYO1H, TWIST1, and PAX7 are associated with craniofacial skeletal variation among patients with malocclusion, while FGFR2, EDN1, TBX5, and COL1A1 are associated with type of skeletal malocclusion.

Project description:Non-syndromic facial asymmetry is commonly found in dentofacial deformity populations with skeletal malocclusions. Asymmetry of this type may result from imbalanced growth and function of both the jaw and associated muscles. Among the multiple genes that interact to affect the craniofacial musculoskeletal complex during pre and postnatal growth and development, NODAL signaling pathwy (NSP) genes are active in adult skeletal muscle and may be key factors in development, growth and maintenance of facial asymmetry. It is of interest to determine whether expression of NODAL pathway genes might differ in masseter muscles between individuals with malocclusion that have facial asymmetry and normal symmetry. Human Transcriptome 2.0 GeneChips (HTA2.0) were used to examine global gene expression in masster muscles between malocclusion subjects with posterior facial asymmetry and with normal facial symmetry. Eleven patients undergoing orthoganthic surgery were selected for comparison of masseter muscle gene expression on microarrays. Two subjects had posterior facial asymmetry (one with class II open bite and one with class III open bite malocclusion) and nine subjects had normal facial symmetry (three with class II open bite, two with class III open bite and four with class II deep bite malocclusion). RNA representative of total gene expression in masseter muscles of the malocclusion subjects with and without posterior facial asymmetry was prepared for labeling and hybridization on HTA2.0 chips. The two subjects with facial asymmetry clustered separately from eight other malocclusion subjects by a principle component analysis (PCA), even though one had a class II and the other a class III malocclusion. Sample 4L_Open_II is from a subject who has sleep apnea. Data from 4L_Open_II clustered independent of the asymmetry group and the eight other subjects of the symmetry group by PCA and was not included in analysis of differential expression with facial symmetry. Masseter muscles are paired jaw muscles (i.e. right and left masseter). In some cases, there was not sufficient quantity/quality of RNA from one side, thus the other side was used. Please note that the following information is provided in the 'source name' field of each sample record; subject ID number; either left or right masseter; J CRANIOFAC SURG_ID# corresponding to the data presented in the manuscript

Project description:BackgroundHuman African trypanosomiasis (HAT), a lethal disease induced by Trypanosoma brucei gambiense, has a range of clinical outcomes in its human host in West Africa: an acute form progressing rapidly to second stage, spontaneous self-cure and individuals able to regulate parasitaemia at very low levels, have all been reported from endemic foci. In order to test if this clinical diversity is influenced by host genetic determinants, the association between candidate gene polymorphisms and HAT outcome was investigated in populations from HAT active foci in Guinea.Methodology and resultsSamples were collected from 425 individuals; comprising of 232 HAT cases, 79 subjects with long lasting positive and specific serology but negative parasitology and 114 endemic controls. Genotypes of 28 SNPs in eight genes passed quality control and were used for an association analysis. IL6 rs1818879 allele A (p = 0.0001, OR = 0.39, CI95 = [0.24-0.63], BONF = 0.0034) was associated with a lower risk of progressing from latent infection to active disease. MIF rs36086171 allele G seemed to be associated with an increased risk (p = 0.0239, OR = 1.65, CI95 = [1.07-2.53], BONF = 0.6697) but did not remain significant after Bonferroni correction. Similarly MIF rs12483859 C allele seems be associated with latent infections (p = 0.0077, OR = 1.86, CI95 = [1.18-2.95], BONF = 0.2157). We confirmed earlier observations that APOL1 G2 allele (DEL) (p = 0.0011, OR = 2.70, CI95 = [1.49-4.91], BONF = 0.0301) is associated with a higher risk and APOL1 G1 polymorphism (p = 0.0005, OR = 0.45, CI95 = [0.29-0.70], BONF = 0.0129) with a lower risk of developing HAT. No associations were found with other candidate genes.ConclusionOur data show that host genes are involved in modulating Trypanosoma brucei gambiense infection outcome in infected individuals from Guinea with IL6 rs1818879 being associated with a lower risk of progressing to active HAT. These results enhance our understanding of host-parasite interactions and, ultimately, may lead to the development of new control tools.

Dataset Information

Candidate gene analyses of 3-dimensional dentoalveolar phenotypes in subjects with malocclusion.

Publications

Candidate gene analyses of 3-dimensional dentoalveolar phenotypes in subjects with malocclusion.

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