Stephen J. O'Brien

Bio: Stephen J. O'Brien is an academic researcher from Saint Petersburg State University of Information Technologies, Mechanics and Optics. The author has contributed to research in topics: Population & Gene. The author has an hindex of 153, co-authored 1062 publications receiving 93025 citations. Previous affiliations of Stephen J. O'Brien include University College Cork & QIMR Berghofer Medical Research Institute.

Radiation hybrid mapping of 304 novel microsatellites in the domestic cat genome.

Abstract: Effective utilization of the domestic cat as an animal model for hereditary and infectious disease requires the development and implementation of high quality gene maps incorporating microsatellites and conserved coding gene markers. Previous feline linkage and radiation hybrid maps have lacked sufficient microsatellite coverage on all chromosomes to make effective use of full genome scans. Here we report the isolation and genomic mapping of 304 novel polymorphic repeat loci in the feline genome. The new loci were mapped in the domestic cat radiation hybrid panel using an automated fluorescent Taq-Man based assay. The addition of these 304 microsatellites brings the total number of microsatellites mapped in the feline genome to 580, and the total number of loci placed onto the RH map to 1,126. Microsatellites now span every autosome with an average spacing of roughly one polymorphic STR every five centimorgans, and full genome coverage of one marker every 2.7 megabases. These loci now provide a useful tool for undertaking full-genome scans to identify genes associated with phenotypes of interest, such as those relating to hereditary disease, coat color, patterning and morphology. These resources can also be extended to the remaining 36 species of the cat family for population genetic and evolutionary genomic analyses.

Phylogenetic assessment of introns and SINEs within the Y chromosome using the cat family felidae as a species tree.

Abstract: The cat family Felidae was used as a species tree to assess the phylogenetic performance of genes, and their embedded SINE elements, within the nonrecombining region of the Y chromosome (NRY). Genomic segments from single-copy X-Y homologs SMCY, UBE1Y, and ZFY (3,604 bp) were amplified in 36 species of cat. These genes are located within the X-degenerate region of the NRY and are thought to be molecular "fossils" that ceased conventional recombination with the X chromosome early within the placental mammal evolution. The pattern and tempo of evolution at these three genes is significant in light of the recent, rapid evolution of the family over approximately 12 Myr and provides exceptional support for each of the eight recognized felid lineages, as well as clear diagnostic substitutions identifying nearly all species. Bootstrap support and Bayesian posterior probabilities are uniformly high for defining each of the eight monophyletic lineages. Further, the preferential use of specific target-site motifs facilitating SINE insertion is empirically supported by sequence analyses of SINEs embedded within the three genes. Target-site insertion is thought to explain the contradiction between intron phylogeny and results of the SMCY SINE phylogeny that unites distantly related species. Overall, our data suggest X-degenerate genes within the NRY are singularly powerful markers and offer a valuable patrilineal perspective in species evolution.

Initial sequencing and analysis of the human genome.

Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Abstract: There is increasing evidence that genome-wide association ( GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study ( using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined similar to 2,000 individuals for each of 7 major diseases and a shared set of similar to 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 X 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals ( including 58 loci with single-point P values between 10(-5) and 5 X 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.