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5 results on '"Elliott, Amanda"'

1. Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Author

Flannick, Jason, Mercader, Josep M, Fuchsberger, Christian, Udler, Miriam S, Mahajan, Anubha, Wessel, Jennifer, Teslovich, Tanya M, Caulkins, Lizz, Koesterer, Ryan, Barajas-Olmos, Francisco, Blackwell, Thomas W, Boerwinkle, Eric, Brody, Jennifer A, Centeno-Cruz, Federico, Chen, Ling, Chen, Siying, Contreras-Cubas, Cecilia, Córdova, Emilio, Correa, Adolfo, Cortes, Maria, DeFronzo, Ralph A, Dolan, Lawrence, Drews, Kimberly L, Elliott, Amanda, Floyd, James S, Gabriel, Stacey, Garay-Sevilla, Maria Eugenia, García-Ortiz, Humberto, Gross, Myron, Han, Sohee, Heard-Costa, Nancy L, Jackson, Anne U, Jørgensen, Marit E, Kang, Hyun Min, Kelsey, Megan, Kim, Bong-Jo, Koistinen, Heikki A, Kuusisto, Johanna, Leader, Joseph B, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Lyssenko, Valeriya, Manning, Alisa K, Marcketta, Anthony, Malacara-Hernandez, Juan Manuel, Martínez-Hernández, Angélica, Matsuo, Karen, Mayer-Davis, Elizabeth, Mendoza-Caamal, Elvia, Mohlke, Karen L, Morrison, Alanna C, Ndungu, Anne, Ng, Maggie CY, O’Dushlaine, Colm, Payne, Anthony J, Pihoker, Catherine, Post, Wendy S, Preuss, Michael, Psaty, Bruce M, Vasan, Ramachandran S, Rayner, N William, Reiner, Alexander P, Revilla-Monsalve, Cristina, Robertson, Neil R, Santoro, Nicola, Schurmann, Claudia, So, Wing Yee, Soberón, Xavier, Stringham, Heather M, Strom, Tim M, Tam, Claudia HT, Thameem, Farook, Tomlinson, Brian, Torres, Jason M, Tracy, Russell P, van Dam, Rob M, Vujkovic, Marijana, Wang, Shuai, Welch, Ryan P, Witte, Daniel R, Wong, Tien-Yin, Atzmon, Gil, Barzilai, Nir, Blangero, John, Bonnycastle, Lori L, Bowden, Donald W, Chambers, John C, Chan, Edmund, Cheng, Ching-Yu, Cho, Yoon Shin, Collins, Francis S, de Vries, Paul S, Duggirala, Ravindranath, Glaser, Benjamin, Gonzalez, Clicerio, Gonzalez, Ma Elena, Groop, Leif, Kooner, Jaspal Singh, and Kwak, Soo Heon

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Prevention, Biotechnology, Diabetes, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Animals, Case-Control Studies, Decision Support Techniques, Diabetes Mellitus, Type 2, Exome, Female, Gene Frequency, Genome-Wide Association Study, Humans, Male, Mice, Mice, Knockout, Exome Sequencing, Broad Genomics Platform, DiscovEHR Collaboration, CHARGE, LuCamp, ProDiGY, GoT2D, ESP, SIGMA-T2D, T2D-GENES, AMP-T2D-GENES, General Science & Technology
Abstract

Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 non-diabetic control participants from 5 ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.5%) in 4 genes at exome-wide significance, including a series of more than 30 SLC30A8 alleles that conveys protection against T2D, and in 12 gene sets, including those corresponding to T2D drug targets (P = 6.1 × 10-3) and candidate genes from knockout mice (P = 5.2 × 10-3). Within our study, the strongest T2D gene-level signals for rare variants explain at most 25% of the heritability of the strongest common single-variant signals, and the gene-level effect sizes of the rare variants that we observed in established T2D drug targets will require 75,000-185,000 sequenced cases to achieve exome-wide significance. We propose a method to interpret these modest rare-variant associations and to incorporate these associations into future target or gene prioritization efforts.

Published
2019

2. A genome-wide association search for type 2 diabetes genes in African Americans.

Author

Palmer, Nicholette D, McDonough, Caitrin W, Hicks, Pamela J, Roh, Bong H, Wing, Maria R, An, S Sandy, Hester, Jessica M, Cooke, Jessica N, Bostrom, Meredith A, Rudock, Megan E, Talbert, Matthew E, Lewis, Joshua P, DIAGRAM Consortium, MAGIC Investigators, Ferrara, Assiamira, Lu, Lingyi, Ziegler, Julie T, Sale, Michele M, Divers, Jasmin, Shriner, Daniel, Adeyemo, Adebowale, Rotimi, Charles N, Ng, Maggie CY, Langefeld, Carl D, Freedman, Barry I, Bowden, Donald W, Voight, Benjamin F, Scott, Laura J, Steinthorsdottir, Valgerdur, Morris, Andrew P, Dina, Christian, Welch, Ryan P, Zeggini, Eleftheria, Huth, Cornelia, Aulchenko, Yurii S, Thorleifsson, Gudmar, McCulloch, Laura J, Ferreira, Teresa, Grallert, Harald, Amin, Najaf, Wu, Guanming, Willer, Cristen J, Raychaudhuri, Soumya, McCarroll, Steve A, Langenberg, Claudia, Hofmann, Oliver M, Dupuis, Josée, Qi, Lu, Segrè, Ayellet V, van Hoek, Mandy, Navarro, Pau, Ardlie, Kristin, Balkau, Beverley, Benediktsson, Rafn, Bennett, Amanda J, Blagieva, Roza, Boerwinkle, Eric, Bonnycastle, Lori L, Boström, Kristina Bengtsson, Bravenboer, Bert, Bumpstead, Suzannah, Burtt, Noël P, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn, Couper, David J, Crawford, Gabe, Doney, Alex SF, Elliott, Katherine S, Elliott, Amanda L, Erdos, Michael R, Fox, Caroline S, Franklin, Christopher S, Ganser, Martha, Gieger, Christian, Grarup, Niels, Green, Todd, Griffin, Simon, Groves, Christopher J, Guiducci, Candace, Hadjadj, Samy, Hassanali, Neelam, Herder, Christian, Isomaa, Bo, Jackson, Anne U, Johnson, Paul RV, Jørgensen, Torben, Kao, Wen HL, Klopp, Norman, Kong, Augustine, Kraft, Peter, Kuusisto, Johanna, Lauritzen, Torsten, Li, Man, Lieverse, Aloysius, Lindgren, Cecilia M, Lyssenko, Valeriya, Marre, Michel, Meitinger, Thomas, and Midthjell, Kristian

Subjects
DIAGRAM Consortium, MAGIC Investigators, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Meta-Analysis as Topic, Validation Studies as Topic, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, General Science & Technology
Abstract

African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P

Published
2012

3. Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks

Author

FinnGen, Dey, Rounak, Zhou, Wei, Kiiskinen, Tuomo, Havulinna, Aki, Elliott, Amanda, Karjalainen, Juha, Kurki, Mitja, Qin, Ashley, Lee, Seunggeun, Palotie, Aarno, Neale, Benjamin, Daly, Mark, Lin, Xihong, Institute for Molecular Medicine Finland, Helsinki Institute of Life Science HiLIFE, Complex Disease Genetics, Genomics of Neurological and Neuropsychiatric Disorders, Helsinki Institute of Life Science HiLIFE, Joint Activities, University of Helsinki, Medicum, Centre of Excellence in Complex Disease Genetics, Research Programs Unit, and Aarno Palotie / Principal Investigator

Subjects
Multidisciplinary, TO-EVENT DATA, Frailty, LOCI, COX, General Physics and Astronomy, PROPORTIONAL HAZARDS, General Chemistry, VARIANTS, LOGISTIC-REGRESSION, COMPETING RISKS, General Biochemistry, Genetics and Molecular Biology, Phenotype, PHYSICAL-ACTIVITY, Humans, ALGORITHM, HEALTH, 3111 Biomedicine, Phenomics, Biological Specimen Banks, Genome-Wide Association Study
Abstract

With decades of electronic health records linked to genetic data, large biobanks provide unprecedented opportunities for systematically understanding the genetics of the natural history of complex diseases. Genome-wide survival association analysis can identify genetic variants associated with ages of onset, disease progression and lifespan. We propose an efficient and accurate frailty model approach for genome-wide survival association analysis of censored time-to-event (TTE) phenotypes by accounting for both population structure and relatedness. Our method utilizes state-of-the-art optimization strategies to reduce the computational cost. The saddlepoint approximation is used to allow for analysis of heavily censored phenotypes (>90%) and low frequency variants (down to minor allele count 20). We demonstrate the performance of our method through extensive simulation studies and analysis of five TTE phenotypes, including lifespan, with heavy censoring rates (90.9% to 99.8%) on ~400,000 UK Biobank participants with white British ancestry and ~180,000 individuals in FinnGen. We further analyzed 871 TTE phenotypes in the UK Biobank and presented the genome-wide scale phenome-wide association results with the PheWeb browser.

Published
2022

4. Use of Electronic Health Records and Administrative Data for Public Health Surveillance of Eye Health and Vision-Related Conditions

Author

Elliott, Amanda, Davidson, Arthur, Lum, Flora, Chiang, Michael, Saaddine, Jinan B, Zhang, Xinzhi, Crews, John E., and Chou, Chiu-Fang

Subjects
Databases, Factual, Vision Disorders, Health Maintenance Organizations, Medicare, Article, United States, United States Department of Veterans Affairs, Electronic Health Records, Humans, Public Health Surveillance, Comprehensive Health Care, Health Services Research, Prospective Studies, Vision, Ocular
Abstract

To discuss the current trend toward greater use of electronic health records and how these records could enhance public health surveillance of eye health and vision-related conditions.Perspective, comparing systems.We describe 3 currently available sources of electronic health data (Kaiser Permanente, the Veterans Health Administration, and the Centers for MedicareMedicaid Services) and how these sources can contribute to a comprehensive vision and eye health surveillance system.Each of the 3 sources of electronic health data can contribute meaningfully to a comprehensive vision and eye health surveillance system, but none currently provide all the information required. The use of electronic health records for vision and eye health surveillance has both advantages and disadvantages.Electronic health records may provide additional information needed to create a comprehensive vision and eye health surveillance system. Recommendations for incorporating electronic health records into such a system are presented.

Published
2012

5. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals

Author

Dastani, Zari, Hivert, Marie-France, Timpson, Nicholas, Perry, John RB, Yuan, Xin, Scott, Robert A, Henneman, Peter, Heid, Iris M, Kizer, Jorge R, Lyytikäinen, Leo-Pekka, Fuchsberger, Christian, Tanaka, Toshiko, Morris, Andrew P, Small, Kerrin, Isaacs, Aaron, Beekman, Marian, Coassin, Stefan, Lohman, Kurt, Qi, Lu, Kanoni, Stavroula, Pankow, James S, Uh, Hae-Won, Wu, Ying, Bidulescu, Aurelian, Rasmussen-Torvik, Laura J, Greenwood, Celia MT, Ladouceur, Martin, Grimsby, Jonna, Manning, Alisa K, Liu, Ching-Ti, Kooner, Jaspal, Mooser, Vincent E, Vollenweider, Peter, Kapur, Karen A, Chambers, John, Wareham, Nicholas J, Langenberg, Claudia, Frants, Rune, Willems-Vandijk, Ko, Oostra, Ben A, Willems, Sara M, Lamina, Claudia, Winkler, Thomas W, Psaty, Bruce M, Tracy, Russell P, Brody, Jennifer, Chen, Ida, Viikari, Jorma, Kähönen, Mika, Pramstaller, Peter P, Evans, David M, St Pourcain, Beate, Sattar, Naveed, Wood, Andrew R, Bandinelli, Stefania, Carlson, Olga D, Egan, Josephine M, Böhringer, Stefan, Van Heemst, Diana, Kedenko, Lyudmyla, Kristiansson, Kati, Nuotio, Marja-Liisa, Loo, Britt-Marie, Harris, Tamara, Garcia, Melissa, Kanaya, Alka, Haun, Margot, Klopp, Norman, Wichmann, H-Erich, Deloukas, Panos, Katsareli, Efi, Couper, David J, Duncan, Bruce B, Kloppenburg, Margreet, Adair, Linda S, Borja, Judith B, DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, Wilson, James G, Musani, Solomon, Guo, Xiuqing, Johnson, Toby, Semple, Robert, Teslovich, Tanya M, Allison, Matthew A, Redline, Susan, Buxbaum, Sarah G, Mohlke, Karen L, Meulenbelt, Ingrid, Ballantyne, Christie M, Dedoussis, George V, Hu, Frank B, Liu, Yongmei, Paulweber, Bernhard, Spector, Timothy D, Slagboom, P Eline, Ferrucci, Luigi, Jula, Antti, Perola, Markus, Raitakari, Olli, Florez, Jose C, Salomaa, Veikko, Eriksson, Johan G, Frayling, Timothy M, Hicks, Andrew A, Lehtimäki, Terho, Smith, George Davey, Siscovick, David S, Kronenberg, Florian, Van Duijn, Cornelia, Loos, Ruth JF, Waterworth, Dawn M, Meigs, James B, Dupuis, Josee, Richards, J Brent, Voight, Benjamin F, Scott, Laura J, Steinthorsdottir, Valgerdur, Dina, Christian, Welch, Ryan P, Zeggini, Eleftheria, Huth, Cornelia, Aulchenko, Yurii S, Thorleifsson, Gudmar, McCulloch, Laura J, Ferreira, Teresa, Grallert, Harald, Amin, Najaf, Wu, Guanming, Willer, Cristen J, Raychaudhuri, Soumya, McCarroll, Steve A, Hofmann, Oliver M, Segrè, Ayellet V, Van Hoek, Mandy, Navarro, Pau, Ardlie, Kristin, Balkau, Beverley, Benediktsson, Rafn, Bennett, Amanda J, Blagieva, Roza, Boerwinkle, Eric, Bonnycastle, Lori L, Boström, Kristina Bengtsson, Bravenboer, Bert, Bumpstead, Suzannah, Burtt, Noël P, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn, Crawford, Gabe, Doney, Alex SF, Elliott, Katherine S, Elliott, Amanda L, Erdos, Michael R, Fox, Caroline S, Franklin, Christopher S, Ganser, Martha, Gieger, Christian, Grarup, Niels, Green, Todd, Griffin, Simon, Groves, Christopher J, Guiducci, Candace, Hadjadj, Samy, Hassanali, Neelam, Herder, Christian, Isomaa, Bo, Jackson, Anne U, Johnson, Paul RV, Jørgensen, Torben, Kao, Wen HL, Kong, Augustine, Kraft, Peter, Kuusisto, Johanna, Lauritzen, Torsten, Li, Man, Lieverse, Aloysius, Lindgren, Cecilia M, Lyssenko, Valeriya, Marre, Michel, Meitinger, Thomas, Midthjell, Kristian, Morken, Mario A, Narisu, Narisu, Nilsson, Peter, Owen, Katharine R, Payne, Felicity, Petersen, Ann-Kristin, Platou, Carl, Proença, Christine, Prokopenko, Inga, Rathmann, Wolfgang, Rayner, N William, Robertson, Neil R, Rocheleau, Ghislain, Roden, Michael, Sampson, Michael J, Saxena, Richa, Shields, Beverley M, Shrader, Peter, Sigurdsson, Gunnar, Sparsø, Thomas, Strassburger, Klaus, Stringham, Heather M, Sun, Qi, Swift, Amy J, Thorand, Barbara, Tichet, Jean, Tuomi, Tiinamaija, Van Dam, Rob M, Van Haeften, Timon W, Van Herpt, Thijs, Van Vliet-Ostaptchouk, Jana V, Walters, G Bragi, Weedon, Michael N, Wijmenga, Cisca, Witteman, Jacqueline, Bergman, Richard N, Cauchi, Stephane, Collins, Francis S, Gloyn, Anna L, Gyllensten, Ulf, Hansen, Torben, Hide, Winston A, Hitman, Graham A, Hofman, Albert, Hunter, David J, Hveem, Kristian, Laakso, Markku, Morris, Andrew D, Palmer, Colin NA, Rudan, Igor, Sijbrands, Eric, Stein, Lincoln D, Tuomilehto, Jaakko, Uitterlinden, Andre, Walker, Mark, Watanabe, Richard M, Abecasis, Goncalo R, Boehm, Bernhard O, Campbell, Harry, Daly, Mark J, Hattersley, Andrew T, Pedersen, Oluf, Barroso, Inês, Groop, Leif, Sladek, Rob, Thorsteinsdottir, Unnur, Wilson, James F, Illig, Thomas, Froguel, Philippe, Van Duijn, Cornelia M, Stefansson, Kari, Altshuler, David, Boehnke, Michael, McCarthy, Mark I, Soranzo, Nicole, Wheeler, Eleanor, Glazer, Nicole L, Bouatia-Naji, Nabila, Mägi, Reedik, Randall, Joshua, Elliott, Paul, Rybin, Denis, Dehghan, Abbas, Hottenga, Jouke Jan, Song, Kijoung, Goel, Anuj, Lajunen, Taina, Doney, Alex, Cavalcanti-Proença, Christine, Kumari, Meena, Timpson, Nicholas J, Zabena, Carina, Ingelsson, Erik, An, Ping, O'Connell, Jeffrey, Luan, Jian'an, Elliott, Amanda, McCarroll, Steven A, Roccasecca, Rosa Maria, Pattou, François, Sethupathy, Praveen, Ariyurek, Yavuz, Barter, Philip, Beilby, John P, Ben-Shlomo, Yoav, Bergmann, Sven, Bochud, Murielle, Bonnefond, Amélie, Borch-Johnsen, Knut, Böttcher, Yvonne, Brunner, Eric, Bumpstead, Suzannah J, Chen, Yii-Der Ida, Chines, Peter, Clarke, Robert, Coin, Lachlan JM, Cooper, Matthew N, Crisponi, Laura, Day, Ian NM, De Geus, Eco JC, Delplanque, Jerome, Fedson, Annette C, Fischer-Rosinsky, Antje, Forouhi, Nita G, Franzosi, Maria Grazia, Galan, Pilar, Goodarzi, Mark O, Graessler, Jürgen, Grundy, Scott, Gwilliam, Rhian, Hallmans, Göran, Hammond, Naomi, Han, Xijing, Hartikainen, Anna-Liisa, Hayward, Caroline, Heath, Simon C, Hercberg, Serge, Hillman, David R, Hingorani, Aroon D, Hui, Jennie, Hung, Joe, Kaakinen, Marika, Kaprio, Jaakko, Kesaniemi, Y Antero, Kivimaki, Mika, Knight, Beatrice, Koskinen, Seppo, Kovacs, Peter, Kyvik, Kirsten Ohm, Lathrop, G Mark, Lawlor, Debbie A, Le Bacquer, Olivier, Lecoeur, Cécile, Li, Yun, Mahley, Robert, Mangino, Massimo, Martínez-Larrad, María Teresa, McAteer, Jarred B, McPherson, Ruth, Meisinger, Christa, Melzer, David, Meyre, David, Mitchell, Braxton D, Mukherjee, Sutapa, Naitza, Silvia, Neville, Matthew J, Orrù, Marco, Pakyz, Ruth, Paolisso, Giuseppe, Pattaro, Cristian, Pearson, Daniel, Peden, John F, Pedersen, Nancy L, Pfeiffer, Andreas FH, Pichler, Irene, Polasek, Ozren, Posthuma, Danielle, Potter, Simon C, Pouta, Anneli, Province, Michael A, Rayner, Nigel W, Rice, Kenneth, Ripatti, Samuli, Rivadeneira, Fernando, Rolandsson, Olov, Sandbaek, Annelli, Sandhu, Manjinder, Sanna, Serena, Sayer, Avan Aihie, Scheet, Paul, Seedorf, Udo, Sharp, Stephen J, Shields, Beverley, Sigurðsson, Gunnar, Sijbrands, Eric JG, Silveira, Angela, Simpson, Laila, Singleton, Andrew, Smith, Nicholas L, Sovio, Ulla, Swift, Amy, Syddall, Holly, Syvänen, Ann-Christine, Tönjes, Anke, Uitterlinden, André G, Van Dijk, Ko Willems, Varma, Dhiraj, Visvikis-Siest, Sophie, Vitart, Veronique, Vogelzangs, Nicole, Waeber, Gérard, Wagner, Peter J, Walley, Andrew, Ward, Kim L, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Witteman, Jaqueline CM, Yarnell, John WG, Zelenika, Diana, Zethelius, Björn, Zhai, Guangju, Zhao, Jing Hua, Zillikens, M Carola, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Borecki, Ingrid B, Meneton, Pierre, Magnusson, Patrik KE, Nathan, David M, Williams, Gordon H, Silander, Kaisa, Bornstein, Stefan R, Schwarz, Peter, Spranger, Joachim, Karpe, Fredrik, Shuldiner, Alan R, Cooper, Cyrus, Serrano-Ríos, Manuel, Lind, Lars, Palmer, Lyle J, Franks, Paul W, Ebrahim, Shah, Marmot, Michael, Kao, WH Linda, Pramstaller, Peter Paul, Wright, Alan F, Stumvoll, Michael, Hamsten, Anders, Procardis Consortium, Buchanan, Thomas A, Valle, Timo T, Rotter, Jerome I, Penninx, Brenda WJH, Boomsma, Dorret I, Cao, Antonio, Scuteri, Angelo, Schlessinger, David, Uda, Manuela, Ruokonen, Aimo, Jarvelin, Marjo-Riitta, Peltonen, Leena, Mooser, Vincent, Sladek, Robert, MAGIC Investigators, GLGC Consortium, Musunuru, Kiran, Smith, Albert V, Edmondson, Andrew C, Stylianou, Ioannis M, Koseki, Masahiro, Pirruccello, James P, Chasman, Daniel I, Johansen, Christopher T, Fouchier, Sigrid W, Peloso, Gina M, Barbalic, Maja, Ricketts, Sally L, Bis, Joshua C, Feitosa, Mary F, Orho-Melander, Marju, Melander, Olle, Li, Xiaohui, Li, Mingyao, Cho, Yoon Shin, Go, Min Jin, Kim, Young Jin, Lee, Jong-Young, Park, Taesung, Kim, Kyunga, Sim, Xueling, Ong, Rick Twee-Hee, Croteau-Chonka, Damien C, Lange, Leslie A, Smith, Joshua D, Ziegler, Andreas, Zhang, Weihua, Zee, Robert YL, Whitfield, John B, Thompson, John R, Surakka, Ida, Spector, Tim D, Smit, Johannes H, Sinisalo, Juha, Scott, James, Saharinen, Juha, Sabatti, Chiara, Rose, Lynda M, Roberts, Robert, Rieder, Mark, Parker, Alex N, Pare, Guillaume, O'Donnell, Christopher J, Nieminen, Markku S, Nickerson, Deborah A, Montgomery, Grant W, McArdle, Wendy, Masson, David, Martin, Nicholas G, Marroni, Fabio, Lucas, Gavin, Luben, Robert, Lokki, Marja-Liisa, Lettre, Guillaume, Launer, Lenore J, Lakatta, Edward G, Laaksonen, Reijo, Kyvik, Kirsten O, König, Inke R, Khaw, Kay-Tee, Kaplan, Lee M, Johansson, Åsa, Janssens, A Cecile JW, Igl, Wilmar, Hovingh, G Kees, Hengstenberg, Christian, Havulinna, Aki S, Hastie, Nicholas D, Harris, Tamara B, Haritunians, Talin, Hall, Alistair S, Groop, Leif C, Gonzalez, Elena, Freimer, Nelson B, Erdmann, Jeanette, Ejebe, Kenechi G, Döring, Angela, Dominiczak, Anna F, Demissie, Serkalem, Deloukas, Panagiotis, De Faire, Ulf, Crawford, Gabriel, Chen, Yii-Der I, Caulfield, Mark J, Boekholdt, S Matthijs, Assimes, Themistocles L, Quertermous, Thomas, Seielstad, Mark, Wong, Tien Y, Tai, E-Shyong, Feranil, Alan B, Kuzawa, Christopher W, Taylor, Herman A, Gabriel, Stacey B, Holm, Hilma, Gudnason, Vilmundur, Krauss, Ronald M, Ordovas, Jose M, Munroe, Patricia B, Kooner, Jaspal S, Tall, Alan R, Hegele, Robert A, Kastelein, John JP, Schadt, Eric E, Strachan, David P, Reilly, Muredach P, Samani, Nilesh J, Schunkert, Heribert, Cupples, L Adrienne, Sandhu, Manjinder S, Ridker, Paul M, Rader, Daniel J, and Kathiresan, Sekar

Subjects
2. Zero hunger, Male, Waist-Hip Ratio, Cholesterol, HDL, Gene Expression, Glucose Tolerance Test, Polymorphism, Single Nucleotide, White People, 3. Good health, Black or African American, Asian People, Diabetes Mellitus, Type 2, Humans, Female, Genetic Predisposition to Disease, Adiponectin, Insulin Resistance, Metabolic Networks and Pathways, Genome-Wide Association Study
Abstract

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p

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