title: Familial clustering of mice consistent to known pedigrees enabled by the genome profiling (GP) method.
abstract: Familial clustering without any prerequisite knowledge becomes often necessary in Behavioral Science, and forensic studies in case of great disasters like Tsunami and earthquake requiring body-identification without any usable information. However, there has been no well-established method for this purpose although conventional ones such as short tandem repeats (STR) and single nucleotide polymorphism (SNP), which might be applied with toil and moil to some extent. In this situation, we could find that the universal genome distance-measuring method genome profiling (GP), which is made up of three elemental techniques; random PCR, micro-temperature gradient gel electrophoresis (μTGGE), and computer processing for normalization, can do this purpose with ease when applied to mouse families. We also confirmed that the sequencing approach based on the ccgf (commonly conserved genetic fragment appearing in the genome profile) was not completely discriminative in this case. This is the first demonstration that the familial clustering can be attained without a priori sequence information to the level of discriminating strains and sibling relationships. This method can complement the conventional approaches in preliminary familial clustering.
authors: Department of Functional Materials Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Harshita
authors: H
authors: Sharma
authors: Department of Functional Materials Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Fumihito
authors: F
authors: Ohtani
authors: Department of Functional Materials Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Parmila
authors: P
authors: Kumari
authors: Department of Functional Materials Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Deepti
authors: D
authors: Diwan
authors: Department of Regulatory Biology, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Naoko
authors: N
authors: Ohara
authors: Department of Regulatory Biology, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Tetsuya
authors: T
authors: Kobayashi
authors: Department of Functional Materials Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Miho
authors: M
authors: Suzuki
authors: Department of Functional Materials Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Naoto
authors: N
authors: Nemoto
authors: Research Institute for Clinical Oncology, Saitama Cancer Center, Japan.
authors: Yoshibumi
authors: Y
authors: Matsushima
authors: Department of Functional Materials Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Saitama 338-8570, Japan.
authors: Koichi
authors: K
authors: Nishigaki
keywords: genome distance; pedigree analysis; universal genotyping method