The human genome is thought to harbor 50,000 to 100,000 genes, of which about half have been sampled to date in the form of expressed sequence tags. An international consortium was organized to develop and map gene-based sequence tagged site markers on a set of two radiation hybrid panels and a yeast artificial chromosome library. More than 16,000 human genes have been mapped relative to a framework map that contains about 1000 polymorphic genetic markers. The gene map unifies the existing genetic and physical maps with the nucleotide and protein sequence databases in a fashion that should speed the discovery of genes underlying inherited human disease. The integrated resource is available through a site on the World Wide Web at http://www.ncbi.nlm.nih.gov/SCIENCE96/.

We have constructed a physical map of the human genome by using a panel of 83 whole genome radiation hybrids (the Stanford G3 panel) in conjunction with 10,478 sequence-tagged sites (STSs) derived from random genomic DNA sequences, previously mapped genetic markers, and expressed sequences. Of these STSs, 5049 are framework markers that fall into 1766 high-confidence bins. An additional 945 STSs are indistinguishable in their map location from one or more of the framework markers. These 5994 mapped STSs have an average spacing of 500 kb. An additional 4484 STSs are positioned with respect to the framework markers. Comparison of the orders of markers on this map with orders derived from independent meiotic and YAC STS-content maps indicates that the error rate in defining high-confidence bins is <5%. Analysis of 322 random cDNAs indicates that the map covers the vast majority of the human genome. This STS-based radiation hybrid map of the human genome brings us one step closer to the goal of a physical map containing 30,000 unique ordered landmarks with an average marker spacing of 100 kb.

Mutations have been described in the ataxia telangiectasia mutated (ATM) gene in small numbers of cases of lymphoid neoplasia. However, surveys of the ATM mutation status in lymphoma have been limited due to the large size (62 exons) and complex mutational spectrum of this gene. We have used microarray-based assays with 250,000 oligonucleotides to screen lymphomas from 120 patients for all possible ATM coding and splice junction mutations. The subtypes included were diffuse large B cell, mantle cell, immunoblastic large B cell, follicular, posttransplant lymphoproliferative disorder, and peripheral T cell lymphoma. We found the highest percentage of ATM mutations within the mantle cell (MCL) subtype (43%, 12 of 28 cases), followed by a lower level (10% of cases) in the other subtypes. A frame-shift ATM mutation was found in one peripheral T cell lymphoma patient. In six MCL cases examined, four ATM variants were due to somatic mutation in the tumor cells whereas two others seemed to be germ-line in origin. There was no difference in p53 mutation status in the ATM mutant and wild-type groups of MCL. There was no statistically significant difference in the median overall survival of patients with wild-type vs. mutated ATM in MCL. Additional mutational and functional analyses are needed to determine whether ATM mutations contribute to the development and progression of MCL or are just the consequence of genomic instability in MCL.