Periodontitis is the major causation of tooth loss in the elderly population. Multiple risk factors include oral microorganisms, smoking, metabolic syndrome, and genetic factors influence periodontitis development. In this study, we conducted a replication study of using previous Korean GWAS results...
Periodontitis is the major causation of tooth loss in the elderly population. Multiple risk factors include oral microorganisms, smoking, metabolic syndrome, and genetic factors influence periodontitis development. In this study, we conducted a replication study of using previous Korean GWAS results by examining an independent population. The study population was recruited from Mir Dental Clinic, Daegu, Korea. In total, 93 samples were evaluated from July 2016 to January 2017. The sample groups include relatively older patients (>60 years) with no periodontitis (n = 31) and relatively younger patients (range 40~60 years) with severe periodontitis (n = 62). A total of seven markers which were previously reported to be associated with periodontitis were genotyped. Among the seven SNPs, rs16846206 and rs2392510 showed a significant association by logistic regression analysis and Chi square test, respectively. The former SNP showed significant association with severe periodontitis, whereas this study also showed same tendency in which individuals with the minor allele are significantly more frequent in cases than those in controls. The SNP is located on a coding gene (SLC9C2), where the alanine residue 505 is replaced by glycine (Ala505Gly). The later SNP was significant when differed between case and control groups, but there was no significance by logistic regression analysis when controlled for age and sex as covariant. Although the study population size examined in the current study was relatively smaller compared to previous studies, our results implicated that at least the two SNPs (rs16846206 and rs2392510) might be important candidates for the further genetic study.
Periodontitis is the major causation of tooth loss in the elderly population. Multiple risk factors include oral microorganisms, smoking, metabolic syndrome, and genetic factors influence periodontitis development. In this study, we conducted a replication study of using previous Korean GWAS results by examining an independent population. The study population was recruited from Mir Dental Clinic, Daegu, Korea. In total, 93 samples were evaluated from July 2016 to January 2017. The sample groups include relatively older patients (>60 years) with no periodontitis (n = 31) and relatively younger patients (range 40~60 years) with severe periodontitis (n = 62). A total of seven markers which were previously reported to be associated with periodontitis were genotyped. Among the seven SNPs, rs16846206 and rs2392510 showed a significant association by logistic regression analysis and Chi square test, respectively. The former SNP showed significant association with severe periodontitis, whereas this study also showed same tendency in which individuals with the minor allele are significantly more frequent in cases than those in controls. The SNP is located on a coding gene (SLC9C2), where the alanine residue 505 is replaced by glycine (Ala505Gly). The later SNP was significant when differed between case and control groups, but there was no significance by logistic regression analysis when controlled for age and sex as covariant. Although the study population size examined in the current study was relatively smaller compared to previous studies, our results implicated that at least the two SNPs (rs16846206 and rs2392510) might be important candidates for the further genetic study.
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가설 설정
The population characteristics of recruited samples are described in Table 1. We hypothesized that elder participants without periodontitis might be protective to the disease, and younger participants with periodontitis might have genetic risk to the disease. The average ages were 59.
대상 데이터
The study population was recruited from Mir Dental Clinic, Daegu, Korea. A total of 93 samples were collected from July 2016 to January 2017.
데이터처리
Among the seven SNPs, rs16846206 and rs2392510 showed a significant association by logistic regression analysis and Chi-square test, respectively (Table 4). The former SNP was previously significantly increased in the severe periodontitis group.
The genotyping was determined by the Vic and/or FAM fluorescent dye intensity. Chi-square test and logistic regression analysis were used to analyze the association between SNP and periodon titis case groups and control groups. For logistic regression analysis, age and sex was set as the covariant.
성능/효과
, 2015). These results indicated that, though the sample size used in the current study is smaller, the genotype distribution was similar to the general Korean population frequency.
후속연구
, 2015). However, further studies are needed to clarify the mechanism of both SLC9C2 and GPR141 at the periodontitis risk. The current study has some limitations as the population size was relatively smaller than previously published studies.
The current study has some limitations as the population size was relatively smaller than previously published studies. However, our results implicated that at least two SNPs (rs16846206 and rs2392510) might be the important candidates for further genetic study.
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