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Despite significant improvement in treating periodontal disease (PD) and the identification of multiple risk factors, little is known about the specific contribution of genetics to PD pathogenesis. Several genomewide association studies (GWAS) of PD have been published, but only one reported locus has reached the threshold for genome-wide significance. Epidemiological studies and biological experiments established associations and suggested common pathogenetic pathways between PD and cardiovascular disease (CVD), diabetes (DM), and osteoporosis. The overall objective is to identify genetic loci for PD as a first step toward a better understanding of PD pathogenesis. In a preliminary study in the Women's Genome Health Study (WGHS), new-onset cases of PD were associated with a family history of myocardial infarction (MI). Further preliminary analyses presented shared phenotypic variation of PD/CVD, PD/DM, or PD/osteoporosis that could be accounted by the whole-genome genetic matrices. Several variants from the GWAS catalog of bone density and family history of MI were found correlated with PD in the WGHS. Based on these findings and the literature, the central hypothesis is that there are common pathogenetic links between PD and these other diseases and that GWAS using the comorbidity case definitions will help identify potential common loci.
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Three specific aims are proposed to refine and validate the PD status in the Women's Health Study (WHS/WGHS) to improve the phenotypic characterization of GWAS of PD: (1) Addition of CDC-AAP (Centers for Disease Control - American Academy of Periodontology) periodontal disease instrument to the WHS annual follow-up survey. (2) Validate existing Periodontal Disease (PD) status in the WHS/WGHS (subset). Request of dental records for 180 women sampled from the WHS who had reported diagnosis of PD in the past. (3) Correlation and validation analysis of new periodontal disease information with requested dental record (most recently dated). Phone interviews and request of dental records for 180 women sampled from the WHS/WGHS who visited a dentist within recent 36 months.
In addition, the investigators propose to identify genetic determinants of PD shared with CVD, DM, or osteoporosis via an integrative computational biological networks approach. Although the systemic links between PD vs. DM, CVD or osteoporosis have been established in clinical genetics as well as in experimental models, high-throughput investigations for gene-gene interplays between the associated conditions (CVD vs. PD; DM vs. PD; osteoporosis vs. PD) have not been explored yet. The investigators propose to approach this using an integrative in silico method, combining existing diverse biological information including genomic, epigenetic, expression and protein data. To our knowledge, this is the first time that hierarchical levels of integrative precision medicine will be tested for PD vs. CVD/DM/osteoporosis to generate plausible hypotheses and experimental targets.
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