<p>The relationship between single nucleotide polymorphisms and dental implant loss: a scoping review</p>

Abstract

Objectives The purpose of this review was to evaluate the relationship between genetic polymorphisms and dental implant loss. Materials and methods All case-control studies examining single nucleotide polymorphisms (SNPs) and dental implant failure were considered. A Boolean search was conducted on PubMed and Scopus to find eligible studies. Results The initial search produced 78 results. Twenty-one studies were considered for inclusion after review and 16 were included in the final review. Twenty-two different polymorphisms were analyzed and statistically significant correlation was found for IL-4, IL-1A, IL-1B, MMP-8, and MMP-1 polymorphisms for dental implant failure. Discussion A limited number of comprehensive studies have been done in this field. Additional studies with larger sample sizes and different ethnic backgrounds need to be done to see if the results can be reproduced. Of the polymorphisms studied, the IL-4 (+33), MMP-8 (−799), MMP-1 (−519), and MMP-1 (−1607) polymorphisms show the greatest association with dental implant loss.

Association between common polymorphisms in IL-1 and TNFα and risk of peri-implant disease: A meta-analysis

“…Dental implants have been widely used as an effective treatment for edentulous patients with an increasing success rate and 10-year survival rate of dental implants in recent years [1,2]. However, implant failure still occurs in around 1.9~3.6% of dental-implant subjects [3]. Multiple factors, such as peri-implant complications, smoking behavior, implant technique and material, systemic medical condition of patients, play important roles in implant failure [4][5][6].…”

Using big data to promote precision oral health in the context of a learning healthcare system

“…A large number of databases describing genes, proteins, and other biological factors currently exist in order to facilitate research regarding the biological mechanisms of disease . Conducting more NGS experiments to find links between biological factors and oral disease can improve integration of oral health pathways into these databases and allow bioinformatics research in this field to become more accessible …”

“…As we briefly described earlier, there is currently lack of systematic evidence to support the use of genotyping in clinical dental practice . However, as patient genotyping becomes more widespread and our understanding of the role of genomics in oral health increases, there may be a role in the future for genetics to become another dimension for clinicians to stratify patients …”

“…67 Conducting more NGS experiments to find links between biological factors and oral disease can improve integration of oral health pathways into these databases and allow bioinformatics research in this field to become more accessible. 68 Finally, the generation of data from normative data sets such as large clinical trials and national public health surveys represent another important source of data for oral health research at the population level. The randomized clinical trial has long been recognized as the gold standard for clinical investigational research.…”

“…97 However, as patient genotyping becomes more widespread and our understanding of the role of genomics in oral health increases, there may be a role in the future for genetics to become another dimension for clinicians to stratify patients. 68 Finally, data analysis can be implemented in the educational domain in order to improve clinician training for future performance. The application of big data analytics in the area of dental education spans from improving student training at dental schools to continuous professional improvement and to ongoing real-time support via EHR at the point of care.…”