Abstract

BackgroundWell known for its gene density and the large number of mapped diseases, the human sub-chromosomal region Xq28 has long been a focus of genome research. Over 40 of approximately 300 X-linked diseases map to this region, and systematic mapping, transcript identification, and mutation analysis has led to the identification of causative genes for 26 of these diseases, leaving another 17 diseases mapped to Xq28, where the causative gene is still unknown. To expedite disease gene identification, we have initiated the functional characterisation of all known Xq28 genes.ResultsBy using a systematic approach, we describe the Xq28 genes by RNA in situ hybridisation and Northern blotting of the mouse orthologs, as well as subcellular localisation and data mining of the human genes. We have developed a relational web-accessible database with comprehensive query options integrating all experimental data. Using this database, we matched gene expression patterns with affected tissues for 16 of the 17 remaining Xq28 linked diseases, where the causative gene is unknown.ConclusionBy using this systematic approach, we have prioritised genes in linkage regions of Xq28-mapped diseases to an amenable number for mutational screens. Our database can be queried by any researcher performing highly specified searches including diseases not listed in OMIM or diseases that might be linked to Xq28 in the future.

Highlights

  • Well known for its gene density and the large number of mapped diseases, the human sub-chromosomal region Xq28 has long been a focus of genome research

  • Our database can be queried by any researcher performing highly specified searches including diseases not listed in OMIM or diseases that might be linked to Xq28 in the future

  • The human sub-chromosomal region Xq28 has been a focus of genome research for the last 20 years, because many diseases have been linked to this region

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Summary

Introduction

Well known for its gene density and the large number of mapped diseases, the human sub-chromosomal region Xq28 has long been a focus of genome research. As the tissue expression pattern of a gene at the cell type level, as well as the intracellular localisation of the encoded protein provides highly relevant information regarding function, we systematically studied the Xq28 genes by RNA in situ hybridisation, Northern blotting, subcellular localisation, and data mining Using this functional information, we aimed to narrow down the number of putative disease genes to a manageable set of promising candidates for mutational screens. We organised all experimental data in a relational database enabling comprehensive query options Using this database with the presumption that all diseases base on single gene mutations, we compared expression patterns of genes with disease phenotypes. This led to the identification of prioritised candidate disease genes for 16 of the 17 Xq28-mapped diseases that do not have a gene associated yet

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