Abstract

BackgroundA genome‐wide association study is an analytical approach that investigates whether genetic variants across the whole genome contribute to disease progression. The aim of this study was to investigate genome-wide associations of periodontal condition measured as deepened periodontal pockets (≥ 4 mm) in Finnish adults.MethodsThis study was based on the data of the national Health 2000 Survey (BRIF8901) in Finland and the Northern Finland Birth Cohort 1966 Study totalling 3,245 individuals. The genotype data were analyzed using the SNPTEST v.2.4.1. The number of teeth with deepened periodontal pockets (≥ 4 mm deep) was employed as a continuous response variable in additive regression analyses performed separately for the two studies and the results were combined in a meta-analysis applying a fixed effects model.ResultsGenome-wide significant associations with the number of teeth with ≥ 4 mm deep pockets were not found at the p-level of < 5 × 10−8, while in total 17 loci reached the p-level of 5 × 10−6. Of the top hits, SNP rs4444613 in chromosome 20 showed the strongest association (p = 1.35 × 10−7).ConclusionNo statistically significant genome-wide associations with deepened periodontal pockets were found in this study.

Highlights

  • A genome‐wide association study is an analytical approach that investigates whether genetic variants across the whole genome contribute to disease progression

  • Using a classic twin study design, Michalowicz and his group [5, 6] showed that approximately 50% of the variation in clinically determined adult periodontitis was attributed to genetic variance

  • The twin studies were crucial in determining the overall role of the genetic component behind periodontitis they could not be used for the identification of the number and location of the susceptibility genes

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Summary

Introduction

A genome‐wide association study is an analytical approach that investigates whether genetic variants across the whole genome contribute to disease progression. A later twin study, which used self-reported data on periodontal condition, the twin studies were crucial in determining the overall role of the genetic component behind periodontitis they could not be used for the identification of the number and location of the susceptibility genes. To achieve the latter goal, two widely used approaches have been used; a candidate gene association study and a genome-wide association study (GWAS).

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