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Knowledge Transfer Statement: Dental research can be thought of as a continuum of clinical observations that are dissected in the laboratory with answers that can be brought back to the clinic to change patient management. We believe this is the case for the use of adhesive systems and outcomes of dental treatment. Clinical observations related to negative outcomes have been tested in the laboratory and solutions have been proposed, with more precise implementation of these solutions possible when genomic approaches are added. Here we elaborate on this process based on the observations that lead to an attempt to inactivate metalloproteinase activity by dentin crosslinking.

AbstractThe collection and analysis of data on antimicrobial resistance in human and animal populations are important for establishing a baseline of the occurrence of resistance and for determining trends over time. In animals, targeted monitoring with a stratified sampling plan is normally used. However, to our knowledge it has not previously been analyzed whether animals have a random chance of being sampled by these programs, regardless of their spatial distribution. In this study, we used spatial scan statistics, based on a Poisson model, as a tool to evaluate the geographical distribution of animals sampled by the Danish Integrated Antimicrobial Resistance Monitoring and Research Programme (DANMAP), by identifying spatial clusters of samples and detecting areas with significantly high or low sampling rates. These analyses were performed for each year and for the total 5-year study period for all collected and susceptibility tested pig samples in Denmark between 2002 and 2006. For the yearly analysis, both high and low sampling rates areas were significant, with two clusters in 2002 (relative risk [RR]: 2.91, p< 0.01 and RR: 0.06, p< 0.01) and one in 2005 (RR: < 0.01, p< 0.01). For the 5-year analysis, one high sampling rate cluster was detected (RR: 2.56, p= 0.01). These findings allowed subsequent investigation to clarify the source of the sampling clusters. Overall, the detected clusters presented different spatial locations over the years and we can conclude that they were more associated to temporary sampling problems than to a failure in the sampling strategy adopted by the monitoring program. Spatial scan statistics proved to be a useful tool for assessment of the randomness of the sampling distribution, which is important when evaluating the validity of the results obtained by an antimicrobial monitoring program.

Isolated or nonsyndromic cleft lip and palate (NS CLP) is a complex disorder resulting from multiple genetic and environmental factors. NS CLP has a birth prevalence of 1 per 500 in the Philippines where large families provide an opportunity for gene localization. Genotyping of 392 microsatellite repeat markers at 10 cM intervals over the genome was performed by the Center for Inherited Disease Research (CIDR) on 220 Filipino families with 567 affected and 1,109 unaffected family members genotyped. Among the most statistically significant results from analysis of the genome‐wide scan data was a 20 cM region at 8p11‐23 in which markers had LODs ≥1.0. This region on 8p11‐23 has not been found in any previous genome wide scan nor does it contain any of the candidate genes widely studied in CLP. Fine mapping in 8p11‐23 was done in the 220 families plus an additional 51 families, using SNP markers from 10 known genes (FGFR1, NRG1, FZD3, SLC8A1, PPP3CC, EPHX2, BNIP3L, EGR3, PPP2R2A, and NAT1) within the 20 cM region of 8p11‐23. Linkage and association analyses of these SNPs yield suggestive results for markers in FGFR1 (recessive multipoint HLOD 1.07) and BAG4 (recessive multipoint HLOD 1.31). © 2007 Wiley‐Liss, Inc.