Hierarchical ordering with partial pairwise hierarchical relationships on the macaque brain data sets.

Hierarchical organizations of information processing in the brain networks have been known to exist and widely studied. To find proper hierarchical structures in the macaque brain, the traditional methods need the entire pairwise hierarchical relationships between cortical areas. In this paper, we present a new method that discovers hierarchical structures of macaque brain networks by using partial information of pairwise hierarchical relationships. Our method uses a graph-based manifold learning to exploit inherent relationship, and computes pseudo distances of hierarchical levels for every pair of cortical areas. Then, we compute hierarchy levels of all cortical areas by minimizing the sum of squared hierarchical distance errors with the hierarchical information of few cortical areas. We evaluate our method on the macaque brain data sets whose true hierarchical levels are known as the FV91 model. The experimental results show that hierarchy levels computed by our method are similar to the FV91 model, and its errors are much smaller than the errors of hierarchical clustering approaches.

Genetic analysis of non-syndromic familial multiple supernumerary premolars.

OBJECTIVE: Supernumerary teeth, a term describing a condition where patients have an abnormally large number of teeth, can be associated with non-syndromic or syndromic phenotypes. PDGFRs are cell surface tyrosine kinase receptors, and are involved in several aspects of tooth development. The purpose of this study was to identify causative genes of familial supernumerary teeth and the molecular pathogenesis of tooth number abnormalities through genetic analysis of a family that showed supernumerary premolars in two successive generations. MATERIAL AND METHODS: We recruited a Korean family with supernumerary premolars and performed mutational analyses to identify the underlying molecular genetic aetiology. RESULTS: Targeted exome sequencing identified a missense mutation in PDGFRB (c.C2053T, p.R685C). Sanger sequencing confirmed that three affected individuals in the patient's family were heterozygous for the mutation. CONCLUSIONS: This is the first report of a Korean family that carries a PDGFRB mutation potentially responsible for supernumerary premolars. Our results demonstrate the power of next-generation sequencing in rapidly determining the genetic aetiology of numerical tooth abnormalities.