Biomedical subjects

Ivo F A C Fokkema

Publications and source records attributed to Ivo F A C Fokkema.

2 recordsLinked to original sources

PubMed2005

LOVD: easy creation of a locus-specific sequence variation database using an "LSDB-in-a-box" approach.

The completion of the human genome project has initiated, as well as provided the basis for, the collection and study of all sequence variation between individuals. Direct access to up-to-date information on sequence variation is currently provided most efficiently through web-based, gene-centered, locus-specific databases (LSDBs). We have developed the Leiden Open (source) Variation Database (LOVD) software approaching the "LSDB-in-a-Box" idea for the easy creation and maintenance of a fully web-based gene sequence variation database. LOVD is platform-independent and uses PHP and MySQL open source software only. The basic gene-centered and modular design of the database follows the recommendations of the Human Genome Variation Society (HGVS) and focuses on the collection and display of DNA sequence variations. With minimal effort, the LOVD platform is extendable with clinical data. The open set-up should both facilitate and promote functional extension with scripts written by the community. The LOVD software is freely available from the Leiden Muscular Dystrophy pages (www.DMD.nl/LOVD/). To promote the use of LOVD, we currently offer curators the possibility to set up an LSDB on our Leiden server.

Computational Biology↗

PubMed2004

beta-Globin mutation detection by tagged single-base extension and hybridization to universal glass and flow-through microarrays.

To test the feasibility of developing a diagnostic microarray for a specific disease, we selected all pathogenic changes of the beta-globin gene occurring at a frequency >/=1% in the multi-ethnic Dutch population for analysis. A tagged single-base extension (SBE) approach was used to detect 19 different mutations causing beta-thalassemia or abnormal hemoglobins. In the SBE reaction, the primers were elongated at the 3'site with a fluorescently labeled dideoxyribonucleotide triphosphate (ddNTP) complementary to the mutation, following tag hybridization to a glass or flow-through microarray. We compared the performance of a generic glass array and a porous system, by testing each mutation separately using heterozygous carriers and by screening a cohort of 40 unknown beta-thalassemia carriers and patients. The results were verified by direct sequencing. The microarray system was able to detect 17 beta-globin mutations simultaneously with >95% accuracy in a single SBE reaction. The flow-through array performed slightly better (96%), but the main advantages of the system included real-time data recording and a considerable time saving achieved through a reduced hybridization time.

Base Sequence↗