Exploring genomic determinants of periodontal disease via shared genetic pathways with cardiovascular disease, diabetes, and bone density

通过与心血管疾病、糖尿病和骨密度共享的遗传途径探索牙周病的基因组决定因素

基本信息

批准号：
9451794
负责人：
Yau-Hua Yu
金额：
$ 13.86万
依托单位：
TUFTS UNIVERSITY BOSTON
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-13 至 2022-08-31
项目状态：
已结题

项目摘要

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 genome- wide 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. Three specific aims independently refine the approach to GWAS of PD: (1) Validate and expand the PD information by adding the CDC-AAP self-reported periodontal parameters to the annual follow-up survey in the Women's Health Study; (2) Identify genetic determinants of PD shared with CVD, DM, or osteoporosis via an integrative computational biological networks approach; and (3) Preparatory training to connect and collaborate with future large dental-genomic databases for GWAS of PD. These aims also provide a mentored training experience for Dr. Yau-Hua Yu, a talented dentist scientist with a strong background in periodontology and bioinformatics. Dr. Yu's career goal is to integrate epidemiological, genomic and clinical studies to elucidate the systemic links and genetic components that periodontal disease shares with cardiovascular disease, diabetes and osteoporosis. Given the administrative and analytical complexity of this intended research path, her training goal is to acquire skills and experience in the following areas: 1) Data collection, analysis, interpretation and validation studies for self-reported outcomes. 2) Management, quantitative analysis and interpretation of large-scale genetic epidemiological datasets across multiple sites and technological platforms. 3) Accession, integration and interpretation of high- dimensional data-rich bioinformatics resources to enrich prior and develop new hypotheses. Dr. Yu and her mentor, Dr. Bjorn Steffensen, have assembled a team of advisors who are experts in their fields as well as leaders of the large cohort studies required for the proposed work. The proposed work will highlight future research paths for PD and open possible new avenues of investigation for comorbid conditions.