Blasted Allegories : An Anthology of Writings by Contemporary Artists

This collection highlights the use of allegory in artists' writing. 47 contributors fuse varying styles and voices to explore the social construction of identity. Bibl. 13 p. "In these writings, we are offered a critical investigation of postmodern culture, but without the distancing effects of traditional art criticism. Instead, we are engaged in the pleasures and the self-implicating risks of writers who often use allegory - a texte that "says one thing but means another" - to bridge from the personal to the political, from individual feeling to mass phenomena." -- Dust jacket

The sequence and analysis of duplication rich human chromosome 16

We report here the 78,884,754 base pairs of finished human chromosome 16 sequence, representing over 99.9 percent of its euchromatin. Manual annotation revealed 880 protein coding genes confirmed by 1,637 aligned transcripts, 19 tRNA genes, 341 pseudogenes and 3 RNA pseudogenes. These genes include metallothionein, cadherin and iroquois gene families, as well as the disease genes for polycystic kidney disease and acute myelomonocytic leukemia. Several large-scale structural polymorphisms spanning hundreds of kilobasepairs were identified and result in gene content differences across humans. One of the unique features of chromosome 16 is its high level of segmental duplication, ranked among the highest of the human autosomes. While the segmental duplications are enriched in the relatively gene poor pericentromere of the p-arm, some are involved in recent gene duplication and conversion events which are likely to have had an impact on the evolution of primates and human disease susceptibility

The sequence and analysis of duplication-rich human chromosome 16

Human chromosome 16 features one of the highest levels of segmentally duplicated sequence among the human autosomes. We report here the 78,884,754 base pairs of finished chromosome 16 sequence, representing over 99.9% of its euchromatin. Manual annotation revealed 880 protein-coding genes confirmed by 1,670 aligned transcripts, 19 transfer RNA genes, 341 pseudogenes and three RNA pseudogenes. These genes include metallothionein, cadherin and iroquois gene families, as well as the disease genes for polycystic kidney disease and acute myelomonocytic leukaemia. Several large-scale structural polymorphisms spanning hundreds of kilobase pairs were identified and result in gene content differences among humans. Whereas the segmental duplications of chromosome 16 are enriched in the relatively gene-poor pericentromere of the p arm, some are involved in recent gene duplication and conversion events that are likely to have had an impact on the evolution of primates and human disease susceptibility.Joel Martin, Cliff Han, Laurie A. Gordon, Astrid Terry, Shyam Prabhakar, Xinwei She, Gary Xie, Uffe Hellsten, Yee Man Chan, Michael Altherr, Olivier Couronne, Andrea Aerts, Eva Bajorek, Stacey Black, Heather Blumer, Elbert Branscomb, Nancy C. Brown, William J. Bruno, Judith M. Buckingham, David F. Callen, Connie S. Campbell, Mary L. Campbell, Evelyn W. Campbell, Chenier Caoile, Jean F. Challacombe, Leslie A. Chasteen, Olga Chertkov, Han C. Chi, Mari Christensen, Lynn M. Clark, Judith D. Cohn, Mirian Denys, John C. Detter, Mark Dickson, Mira Dimitrijevic-Bussod, Julio Escobar, Joseph J. Fawcett, Dave Flowers, Dea Fotopulos, Tijana Glavina, Maria Gomez, Eidelyn Gonzales, David Goodstein, Lynne A. Goodwin, Deborah L. Grady, Igor Grigoriev, Matthew Groza, Nancy Hammon, Trevor Hawkins, Lauren Haydu, Carl E. Hildebrand, Wayne Huang, Sanjay Israni, Jamie Jett, Phillip B. Jewett, Kristen Kadner, Heather Kimball, Arthur Kobayashi, Marie-Claude Krawczyk, Tina Leyba, Jonathan L. Longmire, Frederick Lopez, Yunian Lou, Steve Lowry, Thom Ludeman, Chitra F. Manohar, Graham A. Mark, Kimberly L. McMurray, Linda J. Meincke, Jenna Morgan, Robert K. Moyzis, Mark O. Mundt, A. Christine Munk, Richard D. Nandkeshwar, Sam Pitluck, Martin Pollard Paul Predki, Beverly Parson-Quintana, Lucia Ramirez, Sam Rash, James Retterer, Darryl O. Ricke, Donna L. Robinson, Alex Rodriguez, Asaf Salamov, Elizabeth H. Saunders, Duncan Scott, Timothy Shough, Raymond L. Stallings, Malinda Stalvey, Robert D. Sutherland, Roxanne Tapia, Judith G. Tesmer, Nina Thayer, Linda S. Thompson, Hope Tice, David C. Torney, Mary Tran-Gyamfi, Ming Tsai, Levy E. Ulanovsky, Anna Ustaszewska, Nu Vo, P. Scott White, Albert L. Williams, Patricia L. Wills, Jung-Rung Wu, Kevin Wu, Joan Yang, Pieter DeJong, David Bruce, Norman A. Doggett, Larry Deaven, Jeremy Schmutz, Jane Grimwood, Paul Richardson, Daniel S. Rokhsar, Evan E. Eichler, Paul Gilna, Susan M. Lucas, Richard M. Myers, Edward M. Rubin and Len A. Pennacchi

Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci

Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom similar to 50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering similar to 2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids