A R Vieira, R N D'Souza, G Mues, K Deeley, H-Y Hsin, E C Küchler, R Meira, A Patir, P N Tannure, A Lips, M C Costa, J M Granjeiro, F Seymen, A Modesto
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An additional 465 DNA samples (93 cases with hypodontia and 372 controls without family history for tooth agenesis or oral clefts) from Brazil were also available for this study. Ninety-three single nucleotide polymorphisms that maximally represent the linkage disequilibrium structure of the genes for the 18 genes were selected and genotyped using Taqman chemistry. Chi square was used to test if genotype distributions were in Hardy-Weinberg equilibrium, and 24 markers that were in Hardy-Weinberg equilibrium and had allele frequencies higher than 5 % in a panel of 50 CEPH samples were further tested. Association between hypodontia and genetic variants was tested with the transmission disequilibrium test within the programme Family-Based Association Test (FBAT) and by using Chi square and Fisher's exact tests. Alpha at a level of 0.05 was used to report results.</p><p><strong>Results: </strong>Results suggest possible associations between several genes and hypodontia in the three populations. In the Turkish cohort (n = 51 parent-affected child trios) the most significant results were as follows: FGF3 rs1893047, p = 0.08; GLI3 rs929387, p = 0.03; GLI3 haplotype rs929387-rs846266, p = 0.002; and PAX9 rs2073242, p = 0.03. In the Brazilian cohort (n = 116 parent-affected child trios), the results were as follows: DLX1 rs788173, p = 0.07; FGF3 rs12574452, p = 0.03; GLI2 rs1992901, p = 0.03; and PITX2 rs2595110, p = 0.01. The second Brazilian cohort also suggested that FGF3 (rs12574452, p = 0.01) is associated with hypodontia and added EDAR (rs17269487, p = 0.04), LHX6 (rs989798, p = 0.02), and MSX1 (rs12532, p = 0.003).</p><p><strong>Conclusion: </strong>Our results suggest that several genes are potentially associated with hypodontia and their individual contributions may be modest. Hence, these cases may not be explained by inactivating mutations such as many oligodontia cases segregating in a Mendelian fashion but rather are influenced by one or more susceptibility alleles in multiple small effect genes.</p>","PeriodicalId":520615,"journal":{"name":"European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry","volume":" ","pages":"405-10"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40368-013-0010-2","citationCount":"20","resultStr":"{\"title\":\"Candidate gene studies in hypodontia suggest role for FGF3.\",\"authors\":\"A R Vieira, R N D'Souza, G Mues, K Deeley, H-Y Hsin, E C Küchler, R Meira, A Patir, P N Tannure, A Lips, M C Costa, J M Granjeiro, F Seymen, A Modesto\",\"doi\":\"10.1007/s40368-013-0010-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The majority of tooth agenesis cases are mild (hypodontia) and typically not associated with the gene mutations linked to oligodontia. From this, we hypothesise that most cases of tooth agenesis fit a polygenic mode of inheritance, where several genes with small effects cause a variety of varying phenotypes.</p><p><strong>Materials and methods: </strong>In this study, we looked at 18 not typically studied genes in this condition, to ascertain their contribution to hypodontia. Our study subjects consisted of 167 patients with hypodontia and their parents from two cohorts (one from Brazil and one from Turkey). An additional 465 DNA samples (93 cases with hypodontia and 372 controls without family history for tooth agenesis or oral clefts) from Brazil were also available for this study. Ninety-three single nucleotide polymorphisms that maximally represent the linkage disequilibrium structure of the genes for the 18 genes were selected and genotyped using Taqman chemistry. Chi square was used to test if genotype distributions were in Hardy-Weinberg equilibrium, and 24 markers that were in Hardy-Weinberg equilibrium and had allele frequencies higher than 5 % in a panel of 50 CEPH samples were further tested. Association between hypodontia and genetic variants was tested with the transmission disequilibrium test within the programme Family-Based Association Test (FBAT) and by using Chi square and Fisher's exact tests. Alpha at a level of 0.05 was used to report results.</p><p><strong>Results: </strong>Results suggest possible associations between several genes and hypodontia in the three populations. In the Turkish cohort (n = 51 parent-affected child trios) the most significant results were as follows: FGF3 rs1893047, p = 0.08; GLI3 rs929387, p = 0.03; GLI3 haplotype rs929387-rs846266, p = 0.002; and PAX9 rs2073242, p = 0.03. In the Brazilian cohort (n = 116 parent-affected child trios), the results were as follows: DLX1 rs788173, p = 0.07; FGF3 rs12574452, p = 0.03; GLI2 rs1992901, p = 0.03; and PITX2 rs2595110, p = 0.01. The second Brazilian cohort also suggested that FGF3 (rs12574452, p = 0.01) is associated with hypodontia and added EDAR (rs17269487, p = 0.04), LHX6 (rs989798, p = 0.02), and MSX1 (rs12532, p = 0.003).</p><p><strong>Conclusion: </strong>Our results suggest that several genes are potentially associated with hypodontia and their individual contributions may be modest. 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引用次数: 20
摘要
简介:大多数牙齿发育不全的病例是轻微的(下颌缺损),通常与与少齿畸形相关的基因突变无关。由此,我们假设大多数牙齿发育病例符合多基因遗传模式,其中几个影响较小的基因导致各种不同的表型。材料和方法:在这项研究中,我们观察了18个在这种情况下不典型研究的基因,以确定它们对下颌畸形的贡献。我们的研究对象包括167名下颌缺失患者及其父母,他们来自两个队列(一个来自巴西,一个来自土耳其)。另外还有来自巴西的465份DNA样本(93例下颌畸形患者和372例无牙齿发育或口腔裂家族史的对照组)也可用于本研究。利用Taqman化学方法,对这18个基因中最能代表基因连锁不平衡结构的93个单核苷酸多态性进行了筛选和分型。采用卡方法检验基因型分布是否符合Hardy-Weinberg平衡,并对50份CEPH样本中符合Hardy-Weinberg平衡且等位基因频率高于5%的24个标记进行进一步检测。下颌畸形与遗传变异之间的关系通过基于家庭的关联检验方案中的传播不平衡检验以及卡方检验和Fisher精确检验进行了检验。采用0.05水平的Alpha来报告结果。结果:结果表明在三个人群中几个基因与下颌畸形之间可能存在关联。在土耳其队列中(n = 51个父母影响的儿童三人组),最显著的结果如下:FGF3 rs1893047, p = 0.08;GLI3 rs929387, p = 0.03;GLI3单倍型rs929387-rs846266, p = 0.002;PAX9 rs2073242, p = 0.03。在巴西队列中(n = 116个父母影响的儿童三人组),结果如下:DLX1 rs788173, p = 0.07;FGF3 rs12574452, p = 0.03;GLI2 rs1992901, p = 0.03;PITX2 rs2595110, p = 0.01。第二个巴西队列也提示FGF3 (rs12574452, p = 0.01)与下颌畸形相关,并添加了EDAR (rs17269487, p = 0.04)、LHX6 (rs989798, p = 0.02)和MSX1 (rs12532, p = 0.003)。结论:我们的研究结果表明,几个基因可能与下颌畸形有关,它们的个体贡献可能不大。因此,这些病例可能不是由失活突变(如许多少齿症病例以孟德尔方式分离)来解释的,而是由多个小效应基因中的一个或多个易感等位基因影响的。
Candidate gene studies in hypodontia suggest role for FGF3.
Introduction: The majority of tooth agenesis cases are mild (hypodontia) and typically not associated with the gene mutations linked to oligodontia. From this, we hypothesise that most cases of tooth agenesis fit a polygenic mode of inheritance, where several genes with small effects cause a variety of varying phenotypes.
Materials and methods: In this study, we looked at 18 not typically studied genes in this condition, to ascertain their contribution to hypodontia. Our study subjects consisted of 167 patients with hypodontia and their parents from two cohorts (one from Brazil and one from Turkey). An additional 465 DNA samples (93 cases with hypodontia and 372 controls without family history for tooth agenesis or oral clefts) from Brazil were also available for this study. Ninety-three single nucleotide polymorphisms that maximally represent the linkage disequilibrium structure of the genes for the 18 genes were selected and genotyped using Taqman chemistry. Chi square was used to test if genotype distributions were in Hardy-Weinberg equilibrium, and 24 markers that were in Hardy-Weinberg equilibrium and had allele frequencies higher than 5 % in a panel of 50 CEPH samples were further tested. Association between hypodontia and genetic variants was tested with the transmission disequilibrium test within the programme Family-Based Association Test (FBAT) and by using Chi square and Fisher's exact tests. Alpha at a level of 0.05 was used to report results.
Results: Results suggest possible associations between several genes and hypodontia in the three populations. In the Turkish cohort (n = 51 parent-affected child trios) the most significant results were as follows: FGF3 rs1893047, p = 0.08; GLI3 rs929387, p = 0.03; GLI3 haplotype rs929387-rs846266, p = 0.002; and PAX9 rs2073242, p = 0.03. In the Brazilian cohort (n = 116 parent-affected child trios), the results were as follows: DLX1 rs788173, p = 0.07; FGF3 rs12574452, p = 0.03; GLI2 rs1992901, p = 0.03; and PITX2 rs2595110, p = 0.01. The second Brazilian cohort also suggested that FGF3 (rs12574452, p = 0.01) is associated with hypodontia and added EDAR (rs17269487, p = 0.04), LHX6 (rs989798, p = 0.02), and MSX1 (rs12532, p = 0.003).
Conclusion: Our results suggest that several genes are potentially associated with hypodontia and their individual contributions may be modest. Hence, these cases may not be explained by inactivating mutations such as many oligodontia cases segregating in a Mendelian fashion but rather are influenced by one or more susceptibility alleles in multiple small effect genes.