Searchable abstracts of presentations at key conferences on calcified tissues

ba0006oc15 | (1) | ICCBH2017

Fractures in school age children in relation to sex, ethnic background and bone mineral density: the generation R Study

Grgic Olja , Medina-Gomez Carolina , Trajanoska Katerina , Shevroja Enisa , Koromani Fjorda , Uitterlinden Andre , Jaddoe Vincent , Wolvius Eppo , Rivadeneira Fernando

Objectives: Previous studies indicate that about half of boys and one fourth of girls suffer a fracture before the age of 16 years. Similarly, children of European descent are more prone to fracture. Here we aimed to investigate at the population level the influence of sex, ethnic background and bone mineral density (BMD) on the occurrence of bone fractures in children of school age.Methods: This study (n=3,633 children with complete information...

ba0006p015 | (1) | ICCBH2017

Structural geometry of bones is prominently associated with risk of fracture in children

Medina-Gomez Carolina , Grgic Olja , Shevroja Enisa , Trajanoska Katerina , Uitterlinden Andre G , Jaddoe Vincent W , Beck Tom J , Rivadeneira Fernando

Background: Low total body BMD (TB-BMD) is an established risk factor for fractures in healthy children. However, bone strength depends not only on bone mass and density, but also on the structural geometry of bones. Hip structural analysis (HSA) is a technique applied on hip DXA scans to calculate several bone geometry parameters. The aim of our study was to evaluate other bone geometrical parameters that can constitute determinants of fracture risk. Specifically, we examined...

ba0006p118 | (1) | ICCBH2017

Genome-wide association study identifies five novel genetic determinants of dental maturation

Grgic Olja , Vucic Strahinja , Medina-Gomez Carolina , Trajanoska Katerina , Dhamo Brunilda , Jaddoe Vincent , Ongkosuwito Edwin , Jarvelin Marjo-Riitta , Timpson Nicholas , Evans David , Wolvius Eppo , Rivadeneira Fernando

Objectives: Advanced or delayed physiological age may influence significantly health and disease processes. Physiological age can be estimated using several parameters including dental age (DA). Previous meta-analyses studying “Number of Teeth at 15 Months” (NT15M) and “Age at First Teeth Eruption” (AFTE) have identified 15 loci. We performed a genome-wide association study (GWAS) meta-analysis to identi...