ALBERT

Description: The functions of many open reading frames (ORFs) identified in genome-sequencing projects are unknown. New, whole-genome approaches are required to systematically determine their function. A total of 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with a precise deletion of one of 2026 ORFs (more than one-third of the ORFs in the genome). Of the deleted ORFs, 17 percent were essential for viability in rich medium. The phenotypes of more than 500 deletion strains were assayed in parallel. Of the deletion strains, 40 percent showed quantitative growth defects in either rich or minimal medium.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Winzeler, E A -- Shoemaker, D D -- Astromoff, A -- Liang, H -- Anderson, K -- Andre, B -- Bangham, R -- Benito, R -- Boeke, J D -- Bussey, H -- Chu, A M -- Connelly, C -- Davis, K -- Dietrich, F -- Dow, S W -- El Bakkoury, M -- Foury, F -- Friend, S H -- Gentalen, E -- Giaever, G -- Hegemann, J H -- Jones, T -- Laub, M -- Liao, H -- Liebundguth, N -- Lockhart, D J -- Lucau-Danila, A -- Lussier, M -- M'Rabet, N -- Menard, P -- Mittmann, M -- Pai, C -- Rebischung, C -- Revuelta, J L -- Riles, L -- Roberts, C J -- Ross-MacDonald, P -- Scherens, B -- Snyder, M -- Sookhai-Mahadeo, S -- Storms, R K -- Veronneau, S -- Voet, M -- Volckaert, G -- Ward, T R -- Wysocki, R -- Yen, G S -- Yu, K -- Zimmermann, K -- Philippsen, P -- Johnston, M -- Davis, R W -- HG00185-02/HG/NHGRI NIH HHS/ -- HG01627/HG/NHGRI NIH HHS/ -- HG01633/HG/NHGRI NIH HHS/ -- etc. -- New York, N.Y. -- Science. 1999 Aug 6;285(5429):901-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10436161" target="_blank"〉PubMed〈/a〉

Description: Infectious and inflammatory diseases have repeatedly shown strong genetic associations within the major histocompatibility complex (MHC); however, the basis for these associations remains elusive. To define host genetic effects on the outcome of a chronic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 controllers and progressors, and we analyzed the effects of individual amino acids within the classical human leukocyte antigen (HLA) proteins. We identified 〉300 genome-wide significant single-nucleotide polymorphisms (SNPs) within the MHC and none elsewhere. Specific amino acids in the HLA-B peptide binding groove, as well as an independent HLA-C effect, explain the SNP associations and reconcile both protective and risk HLA alleles. These results implicate the nature of the HLA-viral peptide interaction as the major factor modulating durable control of HIV infection.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235490/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235490/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International HIV Controllers Study -- Pereyra, Florencia -- Jia, Xiaoming -- McLaren, Paul J -- Telenti, Amalio -- de Bakker, Paul I W -- Walker, Bruce D -- Ripke, Stephan -- Brumme, Chanson J -- Pulit, Sara L -- Carrington, Mary -- Kadie, Carl M -- Carlson, Jonathan M -- Heckerman, David -- Graham, Robert R -- Plenge, Robert M -- Deeks, Steven G -- Gianniny, Lauren -- Crawford, Gabriel -- Sullivan, Jordan -- Gonzalez, Elena -- Davies, Leela -- Camargo, Amy -- Moore, Jamie M -- Beattie, Nicole -- Gupta, Supriya -- Crenshaw, Andrew -- Burtt, Noel P -- Guiducci, Candace -- Gupta, Namrata -- Gao, Xiaojiang -- Qi, Ying -- Yuki, Yuko -- Piechocka-Trocha, Alicja -- Cutrell, Emily -- Rosenberg, Rachel -- Moss, Kristin L -- Lemay, Paul -- O'Leary, Jessica -- Schaefer, Todd -- Verma, Pranshu -- Toth, Ildiko -- Block, Brian -- Baker, Brett -- Rothchild, Alissa -- Lian, Jeffrey -- Proudfoot, Jacqueline -- Alvino, Donna Marie L -- Vine, Seanna -- Addo, Marylyn M -- Allen, Todd M -- Altfeld, Marcus -- Henn, Matthew R -- Le Gall, Sylvie -- Streeck, Hendrik -- Haas, David W -- Kuritzkes, Daniel R -- Robbins, Gregory K -- Shafer, Robert W -- Gulick, Roy M -- Shikuma, Cecilia M -- Haubrich, Richard -- Riddler, Sharon -- Sax, Paul E -- Daar, Eric S -- Ribaudo, Heather J -- Agan, Brian -- Agarwal, Shanu -- Ahern, Richard L -- Allen, Brady L -- Altidor, Sherly -- Altschuler, Eric L -- Ambardar, Sujata -- Anastos, Kathryn -- Anderson, Ben -- Anderson, Val -- Andrady, Ushan -- Antoniskis, Diana -- Bangsberg, David -- Barbaro, Daniel -- Barrie, William -- Bartczak, J -- Barton, Simon -- Basden, Patricia -- Basgoz, Nesli -- Bazner, Suzane -- Bellos, Nicholaos C -- Benson, Anne M -- Berger, Judith -- Bernard, Nicole F -- Bernard, Annette M -- Birch, Christopher -- Bodner, Stanley J -- Bolan, Robert K -- Boudreaux, Emilie T -- Bradley, Meg -- Braun, James F -- Brndjar, Jon E -- Brown, Stephen J -- Brown, Katherine -- Brown, Sheldon T -- Burack, Jedidiah -- Bush, Larry M -- Cafaro, Virginia -- Campbell, Omobolaji -- Campbell, John -- Carlson, Robert H -- Carmichael, J Kevin -- Casey, Kathleen K -- Cavacuiti, Chris -- Celestin, Gregory -- Chambers, Steven T -- Chez, Nancy -- Chirch, Lisa M -- Cimoch, Paul J -- Cohen, Daniel -- Cohn, Lillian E -- Conway, Brian -- Cooper, David A -- Cornelson, Brian -- Cox, David T -- Cristofano, Michael V -- Cuchural, George Jr -- Czartoski, Julie L -- Dahman, Joseph M -- Daly, Jennifer S -- Davis, Benjamin T -- Davis, Kristine -- Davod, Sheila M -- DeJesus, Edwin -- Dietz, Craig A -- Dunham, Eleanor -- Dunn, Michael E -- Ellerin, Todd B -- Eron, Joseph J -- Fangman, John J W -- Farel, Claire E -- Ferlazzo, Helen -- Fidler, Sarah -- Fleenor-Ford, Anita -- Frankel, Renee -- Freedberg, Kenneth A -- French, Neel K -- Fuchs, Jonathan D -- Fuller, Jon D -- Gaberman, Jonna -- Gallant, Joel E -- Gandhi, Rajesh T -- Garcia, Efrain -- Garmon, Donald -- Gathe, Joseph C Jr -- Gaultier, Cyril R -- Gebre, Wondwoosen -- Gilman, Frank D -- Gilson, Ian -- Goepfert, Paul A -- Gottlieb, Michael S -- Goulston, Claudia -- Groger, Richard K -- Gurley, T Douglas -- Haber, Stuart -- Hardwicke, Robin -- Hardy, W David -- Harrigan, P Richard -- Hawkins, Trevor N -- Heath, Sonya -- Hecht, Frederick M -- Henry, W Keith -- Hladek, Melissa -- Hoffman, Robert P -- Horton, James M -- Hsu, Ricky K -- Huhn, Gregory D -- Hunt, Peter -- Hupert, Mark J -- Illeman, Mark L -- Jaeger, Hans -- Jellinger, Robert M -- John, Mina -- Johnson, Jennifer A -- Johnson, Kristin L -- Johnson, Heather -- Johnson, Kay -- Joly, Jennifer -- Jordan, Wilbert C -- Kauffman, Carol A -- Khanlou, Homayoon -- Killian, Robert K -- Kim, Arthur Y -- Kim, David D -- Kinder, Clifford A -- Kirchner, Jeffrey T -- Kogelman, Laura -- Kojic, Erna Milunka -- Korthuis, P Todd -- Kurisu, Wayne -- Kwon, Douglas S -- LaMar, Melissa -- Lampiris, Harry -- Lanzafame, Massimiliano -- Lederman, Michael M -- Lee, David M -- Lee, Jean M L -- Lee, Marah J -- Lee, Edward T Y -- Lemoine, Janice -- Levy, Jay A -- Llibre, Josep M -- Liguori, Michael A -- Little, Susan J -- Liu, Anne Y -- Lopez, Alvaro J -- Loutfy, Mono R -- Loy, Dawn -- Mohammed, Debbie Y -- Man, Alan -- Mansour, Michael K -- Marconi, Vincent C -- Markowitz, Martin -- Marques, Rui -- Martin, Jeffrey N -- Martin, Harold L Jr -- Mayer, Kenneth Hugh -- McElrath, M Juliana -- McGhee, Theresa A -- McGovern, Barbara H -- McGowan, Katherine -- McIntyre, Dawn -- Mcleod, Gavin X -- Menezes, Prema -- Mesa, Greg -- Metroka, Craig E -- Meyer-Olson, Dirk -- Miller, Andy O -- Montgomery, Kate -- Mounzer, Karam C -- Nagami, Ellen H -- Nagin, Iris -- Nahass, Ronald G -- Nelson, Margret O -- Nielsen, Craig -- Norene, David L -- O'Connor, David H -- Ojikutu, Bisola O -- Okulicz, Jason -- Oladehin, Olakunle O -- Oldfield, Edward C 3rd -- Olender, Susan A -- Ostrowski, Mario -- Owen, William F Jr -- Pae, Eunice -- Parsonnet, Jeffrey -- Pavlatos, Andrew M -- Perlmutter, Aaron M -- Pierce, Michael N -- Pincus, Jonathan M -- Pisani, Leandro -- Price, Lawrence Jay -- Proia, Laurie -- Prokesch, Richard C -- Pujet, Heather Calderon -- Ramgopal, Moti -- Rathod, Almas -- Rausch, Michael -- Ravishankar, J -- Rhame, Frank S -- Richards, Constance Shamuyarira -- Richman, Douglas D -- Rodes, Berta -- Rodriguez, Milagros -- Rose, Richard C 3rd -- Rosenberg, Eric S -- Rosenthal, Daniel -- Ross, Polly E -- Rubin, David S -- Rumbaugh, Elease -- Saenz, Luis -- Salvaggio, Michelle R -- Sanchez, William C -- Sanjana, Veeraf M -- Santiago, Steven -- Schmidt, Wolfgang -- Schuitemaker, Hanneke -- Sestak, Philip M -- Shalit, Peter -- Shay, William -- Shirvani, Vivian N -- Silebi, Vanessa I -- Sizemore, James M Jr -- Skolnik, Paul R -- Sokol-Anderson, Marcia -- Sosman, James M -- Stabile, Paul -- Stapleton, Jack T -- Starrett, Sheree -- Stein, Francine -- Stellbrink, Hans-Jurgen -- Sterman, F Lisa -- Stone, Valerie E -- Stone, David R -- Tambussi, Giuseppe -- Taplitz, Randy A -- Tedaldi, Ellen M -- Theisen, William -- Torres, Richard -- Tosiello, Lorraine -- Tremblay, Cecile -- Tribble, Marc A -- Trinh, Phuong D -- Tsao, Alice -- Ueda, Peggy -- Vaccaro, Anthony -- Valadas, Emilia -- Vanig, Thanes J -- Vecino, Isabel -- Vega, Vilma M -- Veikley, Wenoah -- Wade, Barbara H -- Walworth, Charles -- Wanidworanun, Chingchai -- Ward, Douglas J -- Warner, Daniel A -- Weber, Robert D -- Webster, Duncan -- Weis, Steve -- Wheeler, David A -- White, David J -- Wilkins, Ed -- Winston, Alan -- Wlodaver, Clifford G -- van't Wout, Angelique -- Wright, David P -- Yang, Otto O -- Yurdin, David L -- Zabukovic, Brandon W -- Zachary, Kimon C -- Zeeman, Beth -- Zhao, Meng -- AI030914/AI/NIAID NIH HHS/ -- AI068636/AI/NIAID NIH HHS/ -- AI069415/AI/NIAID NIH HHS/ -- AI069419/AI/NIAID NIH HHS/ -- AI069423/AI/NIAID NIH HHS/ -- AI069424/AI/NIAID NIH HHS/ -- AI069428/AI/NIAID NIH HHS/ -- AI069432/AI/NIAID NIH HHS/ -- AI069434/AI/NIAID NIH HHS/ -- AI069450/AI/NIAID NIH HHS/ -- AI069452/AI/NIAID NIH HHS/ -- AI069465/AI/NIAID NIH HHS/ -- AI069471/AI/NIAID NIH HHS/ -- AI069472/AI/NIAID NIH HHS/ -- AI069474/AI/NIAID NIH HHS/ -- AI069477/AI/NIAID NIH HHS/ -- AI069484/AI/NIAID NIH HHS/ -- AI069495/AI/NIAID NIH HHS/ -- AI069501/AI/NIAID NIH HHS/ -- AI069502/AI/NIAID NIH HHS/ -- AI069511/AI/NIAID NIH HHS/ -- AI069513/AI/NIAID NIH HHS/ -- AI069532/AI/NIAID NIH HHS/ -- AI069556/AI/NIAID NIH HHS/ -- AI077505/AI/NIAID NIH HHS/ -- AI087145/AI/NIAID NIH HHS/ -- AI25859/AI/NIAID NIH HHS/ -- AI27661/AI/NIAID NIH HHS/ -- AI28568/AI/NIAID NIH HHS/ -- AI30914/AI/NIAID NIH HHS/ -- AI34835/AI/NIAID NIH HHS/ -- AI34853/AI/NIAID NIH HHS/ -- AI38844/AI/NIAID NIH HHS/ -- AI46370/AI/NIAID NIH HHS/ -- AI68634/AI/NIAID NIH HHS/ -- AI69467/AI/NIAID NIH HHS/ -- AL32782/PHS HHS/ -- HHSN261200800001E/PHS HHS/ -- K23 DA019809/DA/NIDA NIH HHS/ -- K24 AI051966/AI/NIAID NIH HHS/ -- K24 AI064086/AI/NIAID NIH HHS/ -- K24 AI064086-05/AI/NIAID NIH HHS/ -- K24 AI069994/AI/NIAID NIH HHS/ -- K24 AI069994-04/AI/NIAID NIH HHS/ -- K24 AI069994-05/AI/NIAID NIH HHS/ -- K24AI069994/AI/NIAID NIH HHS/ -- KL2 RR024977/RR/NCRR NIH HHS/ -- MH071205/MH/NIMH NIH HHS/ -- MH085520/MH/NIMH NIH HHS/ -- P-30 AI27763/AI/NIAID NIH HHS/ -- P-30-AI060354/AI/NIAID NIH HHS/ -- P30 AI027763/AI/NIAID NIH HHS/ -- P30 AI027763-19/AI/NIAID NIH HHS/ -- P30 AI027763-20/AI/NIAID NIH HHS/ -- P30 AI050410/AI/NIAID NIH HHS/ -- P30 AI060354/AI/NIAID NIH HHS/ -- P30 AI060354-08/AI/NIAID NIH HHS/ -- P30 AI060354-09/AI/NIAID NIH HHS/ -- R01 AI028568/AI/NIAID NIH HHS/ -- R01 AI028568-18/AI/NIAID NIH HHS/ -- R01 AI028568-19/AI/NIAID NIH HHS/ -- R01 AI028568-20/AI/NIAID NIH HHS/ -- R01 AI030914/AI/NIAID NIH HHS/ -- R01 AI030914-16/AI/NIAID NIH HHS/ -- R01 AI030914-17/AI/NIAID NIH HHS/ -- R01 AI077505/AI/NIAID NIH HHS/ -- R01 AI077505-04/AI/NIAID NIH HHS/ -- R01 AI077505-05/AI/NIAID NIH HHS/ -- R01 AI087145/AI/NIAID NIH HHS/ -- R01 AI087145-01/AI/NIAID NIH HHS/ -- R01 AI087145-02/AI/NIAID NIH HHS/ -- R01 MH054907/MH/NIMH NIH HHS/ -- R01 MH071205/MH/NIMH NIH HHS/ -- R01 MH071205-04/MH/NIMH NIH HHS/ -- R01 MH071205-05/MH/NIMH NIH HHS/ -- R24 AI067039/AI/NIAID NIH HHS/ -- R24 AI067039-06/AI/NIAID NIH HHS/ -- R24 AI067039-07/AI/NIAID NIH HHS/ -- R37 AI028568/AI/NIAID NIH HHS/ -- R37 AI028568-15/AI/NIAID NIH HHS/ -- RR024975/RR/NCRR NIH HHS/ -- T32 AI007061/AI/NIAID NIH HHS/ -- TL1 RR024978/RR/NCRR NIH HHS/ -- U01 AI027661-18/AI/NIAID NIH HHS/ -- U01 AI027661-19/AI/NIAID NIH HHS/ -- U01 AI032782-13/AI/NIAID NIH HHS/ -- U01 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NIH HHS/ -- UM1 AI068634/AI/NIAID NIH HHS/ -- UM1 AI068634-06/AI/NIAID NIH HHS/ -- UM1 AI068634-07/AI/NIAID NIH HHS/ -- UM1 AI068636-06/AI/NIAID NIH HHS/ -- UM1 AI068636-07/AI/NIAID NIH HHS/ -- UM1 AI069477/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2010 Dec 10;330(6010):1551-7. doi: 10.1126/science.1195271. Epub 2010 Nov 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology (MIT) and Harvard, Boston, MA, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21051598" target="_blank"〉PubMed〈/a〉

Description: Background: Low levels of serum adiponectin have been linked to central obesity, insulin resistance, metabolic syndrome, and type 2 diabetes. Variants in ADIPOQ, the gene encoding adiponectin, have been shown to influence serum adiponectin concentration, and along with variants in the adiponectin receptors (ADIPOR1 and ADIPOR2) have been implicated in metabolic syndrome and type 2 diabetes. This study aimed to comprehensively investigate the association of common variants in ADIPOQ, ADIPOR1 and ADIPOR2 with serum adiponectin and insulin resistance syndromes in a large cohort of European-Australian individuals. Methods: Sixty-four tagging single nucleotide polymorphisms in ADIPOQ, ADIPOR1 and ADIPOR2 were genotyped in two general population cohorts consisting of 2,355 subjects, and one cohort of 967 subjects with type 2 diabetes. The association of tagSNPs with outcomes were evaluated using linear or logistic modelling. Meta-analysis of the three cohorts was performed by random-effects modelling. Results: Meta-analysis revealed nine genotyped tagSNPs in ADIPOQ significantly associated with serum adiponectin across all cohorts after adjustment for age, gender and BMI, including rs10937273, rs12637534, rs1648707, rs16861209, rs822395, rs17366568, rs3774261, rs6444175 and rs17373414. The results of haplotype-based analyses were also consistent. Overall, the variants in the ADIPOQ gene explained

Description: Background Low levels of serum adiponectin have been linked to central obesity, insulin resistance, metabolic syndrome, and type 2 diabetes. Variants in ADIPOQ, the gene encoding adiponectin, have been shown to influence serum adiponectin concentration, and along with variants in the adiponectin receptors (ADIPOR1 and ADIPOR2) have been implicated in metabolic syndrome and type 2 diabetes. This study aimed to comprehensively investigate the association of common variants in ADIPOQ, ADIPOR1 and ADIPOR2 with serum adiponectin and insulin resistance syndromes in a large cohort of European-Australian individuals. Methods Sixty-four tagging single nucleotide polymorphisms in ADIPOQ, ADIPOR1 and ADIPOR2 were genotyped in two general population cohorts consisting of 2,355 subjects, and one cohort of 967 subjects with type 2 diabetes. The association of tagSNPs with outcomes were evaluated using linear or logistic modelling. Meta-analysis of the three cohorts was performed by random-effects modelling. Results Meta-analysis revealed nine genotyped tagSNPs in ADIPOQ significantly associated with serum adiponectin across all cohorts after adjustment for age, gender and BMI, including rs10937273, rs12637534, rs1648707, rs16861209, rs822395, rs17366568, rs3774261, rs6444175 and rs17373414. The results of haplotype-based analyses were also consistent. Overall, the variants in the ADIPOQ gene explained

Description: © The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PLoS ONE 8 (2013): e76096, doi:10.1371/journal.pone.0076096.

Description: DNA samples derived from vertebrate skin, bodily cavities and body fluids contain both host and microbial DNA; the latter often present as a minor component. Consequently, DNA sequencing of a microbiome sample frequently yields reads originating from the microbe(s) of interest, but with a vast excess of host genome-derived reads. In this study, we used a methyl-CpG binding domain (MBD) to separate methylated host DNA from microbial DNA based on differences in CpG methylation density. MBD fused to the Fc region of a human antibody (MBD-Fc) binds strongly to protein A paramagnetic beads, forming an effective one-step enrichment complex that was used to remove human or fish host DNA from bacterial and protistan DNA for subsequent sequencing and analysis. We report enrichment of DNA samples from human saliva, human blood, a mock malaria-infected blood sample and a black molly fish. When reads were mapped to reference genomes, sequence reads aligning to host genomes decreased 50-fold, while bacterial and Plasmodium DNA sequences reads increased 8–11.5-fold. The Shannon-Wiener diversity index was calculated for 149 bacterial species in saliva before and after enrichment. Unenriched saliva had an index of 4.72, while the enriched sample had an index of 4.80. The similarity of these indices demonstrates that bacterial species diversity and relative phylotype abundance remain conserved in enriched samples. Enrichment using the MBD-Fc method holds promise for targeted microbiome sequence analysis across a broad range of sample types.

Description: LAZ and VS were funded by a Brown University Office of the Vice President of Research SEED grant (LAZ) entitled “Tracking disease spread through the wildlife trade: New techniques to identify infectious microbes in aquarium fishes.” SOO and MQ were funded by Wellcome Trust Sanger Institute grant numbers 098051 and 079355/Z/06/Z.