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15 results on '"Adair, Linda S"'

1. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Author

Mahajan, Anubha, Spracklen, Cassandra N, Zhang, Weihua, Ng, Maggie CY, Petty, Lauren E, Kitajima, Hidetoshi, Yu, Grace Z, Rüeger, Sina, Speidel, Leo, Kim, Young Jin, Horikoshi, Momoko, Mercader, Josep M, Taliun, Daniel, Moon, Sanghoon, Kwak, Soo-Heon, Robertson, Neil R, Rayner, Nigel W, Loh, Marie, Kim, Bong-Jo, Chiou, Joshua, Miguel-Escalada, Irene, della Briotta Parolo, Pietro, Lin, Kuang, Bragg, Fiona, Preuss, Michael H, Takeuchi, Fumihiko, Nano, Jana, Guo, Xiuqing, Lamri, Amel, Nakatochi, Masahiro, Scott, Robert A, Lee, Jung-Jin, Huerta-Chagoya, Alicia, Graff, Mariaelisa, Chai, Jin-Fang, Parra, Esteban J, Yao, Jie, Bielak, Lawrence F, Tabara, Yasuharu, Hai, Yang, Steinthorsdottir, Valgerdur, Cook, James P, Kals, Mart, Grarup, Niels, Schmidt, Ellen M, Pan, Ian, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloe, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Ahmad, Meraj, Noordam, Raymond, Lim, Victor JY, Tam, Claudia HT, Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M, Lecoeur, Cécile, Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R, Chen, Guanjie, Jensen, Richard A, Tajuddin, Salman, Kabagambe, Edmond K, An, Ping, Xiang, Anny H, Choi, Hyeok Sun, Cade, Brian E, Tan, Jingyi, Flanagan, Jack, Abaitua, Fernando, Adair, Linda S, Adeyemo, Adebowale, Aguilar-Salinas, Carlos A, Akiyama, Masato, Anand, Sonia S, Bertoni, Alain, Bian, Zheng, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A, Brummett, Chad M, Buchanan, Thomas A, Canouil, Mickaël, Chan, Juliana CN, Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, and Cushman, Mary

Subjects
Genetics, Diabetes, Human Genome, Metabolic and endocrine, Diabetes Mellitus, Type 2, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, FinnGen, eMERGE Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P 50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.

Published
2022

2. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals.

Author

Ehret, Georg B, Ferreira, Teresa, Chasman, Daniel I, Jackson, Anne U, Schmidt, Ellen M, Johnson, Toby, Thorleifsson, Gudmar, Luan, Jian'an, Donnelly, Lousie A, Kanoni, Stavroula, Petersen, Ann-Kristin, Pihur, Vasyl, Strawbridge, Rona J, Shungin, Dmitry, Hughes, Maria F, Meirelles, Osorio, Kaakinen, Marika, Bouatia-Naji, Nabila, Kristiansson, Kati, Shah, Sonia, Kleber, Marcus E, Guo, Xiuqing, Lyytikäinen, Leo-Pekka, Fava, Cristiano, Eriksson, Niclas, Nolte, Ilja M, Magnusson, Patrik K, Salfati, Elias L, Rallidis, Loukianos S, Theusch, Elizabeth, Smith, Andrew JP, Folkersen, Lasse, Witkowska, Kate, Pers, Tune H, Joehanes, Roby, Kim, Stuart K, Lataniotis, Lazaros, Jansen, Rick, Johnson, Andrew D, Warren, Helen, Kim, Young Jin, Zhao, Wei, Wu, Ying, Tayo, Bamidele O, Bochud, Murielle, CHARGE-EchoGen consortium, CHARGE-HF consortium, Wellcome Trust Case Control Consortium, Absher, Devin, Adair, Linda S, Amin, Najaf, Arking, Dan E, Axelsson, Tomas, Baldassarre, Damiano, Balkau, Beverley, Bandinelli, Stefania, Barnes, Michael R, Barroso, Inês, Bevan, Stephen, Bis, Joshua C, Bjornsdottir, Gyda, Boehnke, Michael, Boerwinkle, Eric, Bonnycastle, Lori L, Boomsma, Dorret I, Bornstein, Stefan R, Brown, Morris J, Burnier, Michel, Cabrera, Claudia P, Chambers, John C, Chang, I-Shou, Cheng, Ching-Yu, Chines, Peter S, Chung, Ren-Hua, Collins, Francis S, Connell, John M, Döring, Angela, Dallongeville, Jean, Danesh, John, de Faire, Ulf, Delgado, Graciela, Dominiczak, Anna F, Doney, Alex SF, Drenos, Fotios, Edkins, Sarah, Eicher, John D, Elosua, Roberto, Enroth, Stefan, Erdmann, Jeanette, Eriksson, Per, Esko, Tonu, Evangelou, Evangelos, Evans, Alun, Fall, Tove, Farrall, Martin, Felix, Janine F, Ferrières, Jean, Ferrucci, Luigi, Fornage, Myriam, and Forrester, Terrence

Subjects
CHARGE-EchoGen consortium, CHARGE-HF consortium, Wellcome Trust Case Control Consortium, Cells, Cultured, Humans, Hypertension, Microarray Analysis, Blood Pressure, Polymorphism, Single Nucleotide, African Continental Ancestry Group, Asian Continental Ancestry Group, Genome-Wide Association Study, Cells, Cultured, Polymorphism, Single Nucleotide, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

To dissect the genetic architecture of blood pressure and assess effects on target organ damage, we analyzed 128,272 SNPs from targeted and genome-wide arrays in 201,529 individuals of European ancestry, and genotypes from an additional 140,886 individuals were used for validation. We identified 66 blood pressure-associated loci, of which 17 were new; 15 harbored multiple distinct association signals. The 66 index SNPs were enriched for cis-regulatory elements, particularly in vascular endothelial cells, consistent with a primary role in blood pressure control through modulation of vascular tone across multiple tissues. The 66 index SNPs combined in a risk score showed comparable effects in 64,421 individuals of non-European descent. The 66-SNP blood pressure risk score was significantly associated with target organ damage in multiple tissues but with minor effects in the kidney. Our findings expand current knowledge of blood pressure-related pathways and highlight tissues beyond the classical renal system in blood pressure regulation.

Published
2016

3. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

Author

Mahajan, Anubha, Go, Min Jin, Zhang, Weihua, Below, Jennifer E, Gaulton, Kyle J, Ferreira, Teresa, Horikoshi, Momoko, Johnson, Andrew D, Ng, Maggie CY, Prokopenko, Inga, Saleheen, Danish, Wang, Xu, Zeggini, Eleftheria, Abecasis, Goncalo R, Adair, Linda S, Almgren, Peter, Atalay, Mustafa, Aung, Tin, Baldassarre, Damiano, Balkau, Beverley, Bao, Yuqian, Barnett, Anthony H, Barroso, Ines, Basit, Abdul, Been, Latonya F, Beilby, John, Bell, Graeme I, Benediktsson, Rafn, Bergman, Richard N, Boehm, Bernhard O, Boerwinkle, Eric, Bonnycastle, Lori L, Burtt, Noël, Cai, Qiuyin, Campbell, Harry, Carey, Jason, Cauchi, Stephane, Caulfield, Mark, Chan, Juliana CN, Chang, Li-Ching, Chang, Tien-Jyun, Chang, Yi-Cheng, Charpentier, Guillaume, Chen, Chien-Hsiun, Chen, Han, Chen, Yuan-Tsong, Chia, Kee-Seng, Chidambaram, Manickam, Chines, Peter S, Cho, Nam H, Cho, Young Min, Chuang, Lee-Ming, Collins, Francis S, Cornelis, Marilyn C, Couper, David J, Crenshaw, Andrew T, van Dam, Rob M, Danesh, John, Das, Debashish, de Faire, Ulf, Dedoussis, George, Deloukas, Panos, Dimas, Antigone S, Dina, Christian, Doney, Alex SF, Donnelly, Peter J, Dorkhan, Mozhgan, van Duijn, Cornelia, Dupuis, Josée, Edkins, Sarah, Elliott, Paul, Emilsson, Valur, Erbel, Raimund, Eriksson, Johan G, Escobedo, Jorge, Esko, Tonu, Eury, Elodie, Florez, Jose C, Fontanillas, Pierre, Forouhi, Nita G, Forsen, Tom, Fox, Caroline, Fraser, Ross M, Frayling, Timothy M, Froguel, Philippe, Frossard, Philippe, Gao, Yutang, Gertow, Karl, Gieger, Christian, Gigante, Bruna, Grallert, Harald, Grant, George B, Groop, Leif C, Groves, Christopher J, Grundberg, Elin, Guiducci, Candace, Hamsten, Anders, Han, Bok-Ghee, Hara, Kazuo, and Hassanali, Neelam

Subjects
Biological Sciences, Genetics, Human Genome, Diabetes, Metabolic and endocrine, Alleles, Asian People, Case-Control Studies, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic or Latino, Humans, Polymorphism, Single Nucleotide, Risk Factors, White People, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.

Published
2014

4. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

Author

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Mahajan, Anubha, Go, Min Jin, Zhang, Weihua, Below, Jennifer E, Gaulton, Kyle J, Ferreira, Teresa, Horikoshi, Momoko, Johnson, Andrew D, Ng, Maggie CY, Prokopenko, Inga, Saleheen, Danish, Wang, Xu, Zeggini, Eleftheria, Abecasis, Goncalo R, Adair, Linda S, Almgren, Peter, Atalay, Mustafa, Aung, Tin, Baldassarre, Damiano, Balkau, Beverley, Bao, Yuqian, Barnett, Anthony H, Barroso, Ines, Basit, Abdul, Been, Latonya F, Beilby, John, Bell, Graeme I, Benediktsson, Rafn, Bergman, Richard N, Boehm, Bernhard O, Boerwinkle, Eric, Bonnycastle, Lori L, Burtt, Noël, Cai, Qiuyin, Campbell, Harry, Carey, Jason, Cauchi, Stephane, Caulfield, Mark, Chan, Juliana CN, Chang, Li-Ching, Chang, Tien-Jyun, Chang, Yi-Cheng, Charpentier, Guillaume, Chen, Chien-Hsiun, Chen, Han, Chen, Yuan-Tsong, Chia, Kee-Seng, Chidambaram, Manickam, Chines, Peter S, Cho, Nam H, Cho, Young Min, Chuang, Lee-Ming, Collins, Francis S, Cornelis, Marylin C, Couper, David J, Crenshaw, Andrew T, van Dam, Rob M, Danesh, John, Das, Debashish, de Faire, Ulf, Dedoussis, George, Deloukas, Panos, Dimas, Antigone S, Dina, Christian, Doney, Alex S, Donnelly, Peter J, Dorkhan, Mozhgan, van Duijn, Cornelia, Dupuis, Josée, Edkins, Sarah, Elliott, Paul, Emilsson, Valur, Erbel, Raimund, Eriksson, Johan G, Escobedo, Jorge, Esko, Tonu, Eury, Elodie, Florez, Jose C, Fontanillas, Pierre, Forouhi, Nita G, Forsen, Tom, Fox, Caroline, Fraser, Ross M, Frayling, Timothy M, Froguel, Philippe, Frossard, Philippe, Gao, Yutang, Gertow, Karl, Gieger, Christian, Gigante, Bruna, Grallert, Harald, Grant, George B, Grrop, Leif C, and Groves, Chrisropher J

Subjects
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Risk Factors, Case-Control Studies, Polymorphism, Single Nucleotide, Alleles, Asian Continental Ancestry Group, European Continental Ancestry Group, Hispanic Americans, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.

Published
2014

5. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Author

Scott, Robert A, Lagou, Vasiliki, Welch, Ryan P, Wheeler, Eleanor, Montasser, May E, Luan, Jian'an, Mägi, Reedik, Strawbridge, Rona J, Rehnberg, Emil, Gustafsson, Stefan, Kanoni, Stavroula, Rasmussen-Torvik, Laura J, Yengo, Loïc, Lecoeur, Cecile, Shungin, Dmitry, Sanna, Serena, Sidore, Carlo, Johnson, Paul C D, Jukema, J Wouter, Johnson, Toby, Mahajan, Anubha, Verweij, Niek, Thorleifsson, Gudmar, Hottenga, Jouke-Jan, Shah, Sonia, Smith, Albert V, Sennblad, Bengt, Gieger, Christian, Salo, Perttu, Perola, Markus, Timpson, Nicholas J, Evans, David M, Pourcain, Beate St, Wu, Ying, Andrews, Jeanette S, Hui, Jennie, Bielak, Lawrence F, Zhao, Wei, Horikoshi, Momoko, Navarro, Pau, Isaacs, Aaron, O'Connell, Jeffrey R, Stirrups, Kathleen, Vitart, Veronique, Hayward, Caroline, Esko, Tõnu, Mihailov, Evelin, Fraser, Ross M, Fall, Tove, Voight, Benjamin F, Raychaudhuri, Soumya, Chen, Han, Lindgren, Cecilia M, Morris, Andrew P, Rayner, Nigel W, Robertson, Neil, Rybin, Denis, Liu, Ching-Ti, Beckmann, Jacques S, Willems, Sara M, Chines, Peter S, Jackson, Anne U, Kang, Hyun Min, Stringham, Heather M, Song, Kijoung, Tanaka, Toshiko, Peden, John F, Goel, Anuj, Hicks, Andrew A, An, Ping, Müller-Nurasyid, Martina, Franco-Cereceda, Anders, Folkersen, Lasse, Marullo, Letizia, Jansen, Hanneke, Oldehinkel, Albertine J, Bruinenberg, Marcel, Pankow, James S, North, Kari E, Forouhi, Nita G, Loos, Ruth J F, Edkins, Sarah, Varga, Tibor V, Hallmans, Göran, Oksa, Heikki, Antonella, Mulas, Nagaraja, Ramaiah, Trompet, Stella, Ford, Ian, Bakker, Stephan J L, Kong, Augustine, Kumari, Meena, Gigante, Bruna, Herder, Christian, Munroe, Patricia B, Caulfield, Mark, Antti, Jula, Mangino, Massimo, Small, Kerrin, Miljkovic, Iva, Liu, Yongmei, Atalay, Mustafa, Kiess, Wieland, James, Alan L, Rivadeneira, Fernando, Uitterlinden, Andre G, Palmer, Colin N A, Doney, Alex S F, Willemsen, Gonneke, Smit, Johannes H, Campbell, Susan, Polasek, Ozren, Bonnycastle, Lori L, Hercberg, Serge, Dimitriou, Maria, Bolton, Jennifer L, Fowkes, Gerard R, Kovacs, Peter, Lindström, Jaana, Zemunik, Tatijana, Bandinelli, Stefania, Wild, Sarah H, Basart, Hanneke V, Rathmann, Wolfgang, Grallert, Harald, Maerz, Winfried, Kleber, Marcus E, Boehm, Bernhard O, Peters, Annette, Pramstaller, Peter P, Province, Michael A, Borecki, Ingrid B, Hastie, Nicholas D, Rudan, Igor, Campbell, Harry, Watkins, Hugh, Farrall, Martin, Stumvoll, Michael, Ferrucci, Luigi, Waterworth, Dawn M, Bergman, Richard N, Collins, Francis S, Tuomilehto, Jaakko, Watanabe, Richard M, de Geus, Eco J C, Penninx, Brenda W, Hofman, Albert, Oostra, Ben A, Psaty, Bruce M, Vollenweider, Peter, Wilson, James F, Wright, Alan F, Hovingh, G Kees, Metspalu, Andres, Uusitupa, Matti, Magnusson, Patrik K E, Kyvik, Kirsten O, Kaprio, Jaakko, Price, Jackie F, Dedoussis, George V, Deloukas, Panos, Meneton, Pierre, Lind, Lars, Boehnke, Michael, Shuldiner, Alan R, van Duijn, Cornelia M, Morris, Andrew D, Toenjes, Anke, Peyser, Patricia A, Beilby, John P, Körner, Antje, Kuusisto, Johanna, Laakso, Markku, Bornstein, Stefan R, Schwarz, Peter E H, Lakka, Timo A, Rauramaa, Rainer, Adair, Linda S, Smith, George Davey, Spector, Tim D, Illig, Thomas, de Faire, Ulf, Hamsten, Anders, Gudnason, Vilmundur, Kivimaki, Mika, Hingorani, Aroon, Keinanen-Kiukaanniemi, Sirkka M, Saaristo, Timo E, Boomsma, Dorret I, Stefansson, Kari, van der Harst, Pim, Dupuis, Josée, Pedersen, Nancy L, Sattar, Naveed, Harris, Tamara B, Cucca, Francesco, Ripatti, Samuli, Salomaa, Veikko, Mohlke, Karen L, Balkau, Beverley, Froguel, Philippe, Pouta, Anneli, Jarvelin, Marjo-Riitta, Wareham, Nicholas J, Bouatia-Naji, Nabila, McCarthy, Mark I, Franks, Paul W, Meigs, James B, Teslovich, Tanya M, Florez, Jose C, Langenberg, Claudia, Ingelsson, Erik, Prokopenko, Inga, and Barroso, Inês

Published
2012
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6. The trans-ancestral genomic architecture of glycemic traits

Author

Chen, Ji, Spracklen, Cassandra N., Marenne, Gaëlle, Varshney, Arushi, Corbin, Laura J., Luan, Jian’an, Willems, Sara M., Wu, Ying, Zhang, Xiaoshuai, Horikoshi, Momoko, Boutin, Thibaud S., Mägi, Reedik, Waage, Johannes, Li-Gao, Ruifang, Chan, Kei Hang Katie, Yao, Jie, Anasanti, Mila D., Chu, Audrey Y., Claringbould, Annique, Heikkinen, Jani, Hong, Jaeyoung, Hottenga, Jouke-Jan, Huo, Shaofeng, Kaakinen, Marika A., Louie, Tin, März, Winfried, Moreno-Macias, Hortensia, Ndungu, Anne, Nelson, Sarah C., Nolte, Ilja M., North, Kari E., Raulerson, Chelsea K., Ray, Debashree, Rohde, Rebecca, Rybin, Denis, Schurmann, Claudia, Sim, Xueling, Southam, Lorraine, Stewart, Isobel D., Wang, Carol A., Wang, Yujie, Wu, Peitao, Zhang, Weihua, Ahluwalia, Tarunveer S., Appel, Emil V. R., Bielak, Lawrence F., Brody, Jennifer A., Burtt, Noël P., Cabrera, Claudia P., Cade, Brian E., Chai, Jin Fang, Chai, Xiaoran, Chang, Li-Ching, Chen, Chien-Hsiun, Chen, Brian H., Chitrala, Kumaraswamy Naidu, Chiu, Yen-Feng, de Haan, Hugoline G., Delgado, Graciela E., Demirkan, Ayse, Duan, Qing, Engmann, Jorgen, Fatumo, Segun A., Gayán, Javier, Giulianini, Franco, Gong, Jung Ho, Gustafsson, Stefan, Hai, Yang, Hartwig, Fernando P., He, Jing, Heianza, Yoriko, Huang, Tao, Huerta-Chagoya, Alicia, Hwang, Mi Yeong, Jensen, Richard A., Kawaguchi, Takahisa, Kentistou, Katherine A., Kim, Young Jin, Kleber, Marcus E., Kooner, Ishminder K., Lai, Shuiqing, Lange, Leslie A., Langefeld, Carl D., Lauzon, Marie, Li, Man, Ligthart, Symen, Liu, Jun, Loh, Marie, Long, Jirong, Lyssenko, Valeriya, Mangino, Massimo, Marzi, Carola, Montasser, May E., Nag, Abhishek, Nakatochi, Masahiro, Noce, Damia, Noordam, Raymond, Pistis, Giorgio, Preuss, Michael, Raffield, Laura, Rasmussen-Torvik, Laura J., Rich, Stephen S., Robertson, Neil R., Rueedi, Rico, Ryan, Kathleen, Sanna, Serena, Saxena, Richa, Schraut, Katharina E., Sennblad, Bengt, Setoh, Kazuya, Smith, Albert V., Sparsø, Thomas, Strawbridge, Rona J., Takeuchi, Fumihiko, Tan, Jingyi, Trompet, Stella, van den Akker, Erik, van der Most, Peter J., Verweij, Niek, Vogel, Mandy, Wang, Heming, Wang, Chaolong, Wang, Nan, Warren, Helen R., Wen, Wanqing, Wilsgaard, Tom, Wong, Andrew, Wood, Andrew R., Xie, Tian, Zafarmand, Mohammad Hadi, Zhao, Jing-Hua, Zhao, Wei, Amin, Najaf, Arzumanyan, Zorayr, Astrup, Arne, Bakker, Stephan J. L., Baldassarre, Damiano, Beekman, Marian, Bergman, Richard N., Bertoni, Alain, Blüher, Matthias, Bonnycastle, Lori L., Bornstein, Stefan R., Bowden, Donald W., Cai, Qiuyin, Campbell, Archie, Campbell, Harry, Chang, Yi Cheng, de Geus, Eco J. C., Dehghan, Abbas, Du, Shufa, Eiriksdottir, Gudny, Farmaki, Aliki Eleni, Frånberg, Mattias, Fuchsberger, Christian, Gao, Yutang, Gjesing, Anette P., Goel, Anuj, Han, Sohee, Hartman, Catharina A., Herder, Christian, Hicks, Andrew A., Hsieh, Chang-Hsun, Hsueh, Willa A., Ichihara, Sahoko, Igase, Michiya, Ikram, M. Arfan, Johnson, W. Craig, Jørgensen, Marit E., Joshi, Peter K., Kalyani, Rita R., Kandeel, Fouad R., Katsuya, Tomohiro, Khor, Chiea Chuen, Kiess, Wieland, Kolcic, Ivana, Kuulasmaa, Teemu, Kuusisto, Johanna, Läll, Kristi, Lam, Kelvin, Lawlor, Deborah A., Lee, Nanette R., Lemaitre, Rozenn N., Li, Honglan, Lin, Shih-Yi, Lindström, Jaana, Linneberg, Allan, Liu, Jianjun, Lorenzo, Carlos, Matsubara, Tatsuaki, Matsuda, Fumihiko, Mingrone, Geltrude, Mooijaart, Simon, Moon, Sanghoon, Nabika, Toru, Nadkarni, Girish N., Nadler, Jerry L., Nelis, Mari, Neville, Matt J., Norris, Jill M., Ohyagi, Yasumasa, Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Qi, Qibin, Raven, Dennis, Reilly, Dermot F., Reiner, Alex, Rivideneira, Fernando, Roll, Kathryn, Rudan, Igor, Sabanayagam, Charumathi, Sandow, Kevin, Sattar, Naveed, Schürmann, Annette, Shi, Jinxiu, Stringham, Heather M., Taylor, Kent D., Teslovich, Tanya M., Thuesen, Betina, Timmers, Paul R. H. J., Tremoli, Elena, Tsai, Michael Y., Uitterlinden, Andre, van Dam, Rob M., van Heemst, Diana, van Hylckama Vlieg, Astrid, van Vliet-Ostaptchouk, Jana V., Vangipurapu, Jagadish, Vestergaard, Henrik, Wang, Tao, Willems van Dijk, Ko, Zemunik, Tatijana, Abecasis, Gonçalo R., Adair, Linda S., Aguilar-Salinas, Carlos Alberto, Alarcón-Riquelme, Marta E., An, Ping, Aviles-Santa, Larissa, Becker, Diane M., Beilin, Lawrence J., Bergmann, Sven, Bisgaard, Hans, Black, Corri, Boehnke, Michael, Boerwinkle, Eric, Böhm, Bernhard O., Bønnelykke, Klaus, Boomsma, D. I., Bottinger, Erwin P., Buchanan, Thomas A., Canouil, Mickaël, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der Ida, Cheng, Ching-Yu, Collins, Francis S., Correa, Adolfo, Cucca, Francesco, de Silva, H. Janaka, Dedoussis, George, Elmståhl, Sölve, Evans, Michele K., Ferrannini, Ele, Ferrucci, Luigi, Florez, Jose C., Franks, Paul W., Frayling, Timothy M., Froguel, Philippe, Gigante, Bruna, Goodarzi, Mark O., Gordon-Larsen, Penny, Grallert, Harald, Grarup, Niels, Grimsgaard, Sameline, Groop, Leif, Gudnason, Vilmundur, Guo, Xiuqing, Hamsten, Anders, Hansen, Torben, Hayward, Caroline, Heckbert, Susan R., Horta, Bernardo L., Huang, Wei, Ingelsson, Erik, James, Pankow S., Jarvelin, Marjo-Ritta, Jonas, Jost B., Jukema, J. Wouter, Kaleebu, Pontiano, Kaplan, Robert, Kardia, Sharon L. R., Kato, Norihiro, Keinanen-Kiukaanniemi, Sirkka M., Kim, Bong-Jo, Kivimaki, Mika, Koistinen, Heikki A., Kooner, Jaspal S., Körner, Antje, Kovacs, Peter, Kuh, Diana, Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lakka, Timo A., Launer, Lenore J., Leander, Karin, Li, Huaixing, Lin, Xu, Lind, Lars, Lindgren, Cecilia, Liu, Simin, Loos, Ruth J. F., Magnusson, Patrik K. E., Mahajan, Anubha, Metspalu, Andres, Mook-Kanamori, Dennis O., Mori, Trevor A., Munroe, Patricia B., Njølstad, Inger, O’Connell, Jeffrey R., Oldehinkel, Albertine J., Ong, Ken K., Padmanabhan, Sandosh, Palmer, Colin N. A., Palmer, Nicholette D., Pedersen, Oluf, Pennell, Craig E., Porteous, David J., Pramstaller, Peter P., Province, Michael A., Psaty, Bruce M., Qi, Lu, Raffel, Leslie J., Rauramaa, Rainer, Redline, Susan, Ridker, Paul M., Rosendaal, Frits R., Saaristo, Timo E., Sandhu, Manjinder, Saramies, Jouko, Schneiderman, Neil, Schwarz, Peter, Scott, Laura J., Selvin, Elizabeth, Sever, Peter, Shu, Xiao-ou, Slagboom, P. Eline, Small, Kerrin S., Smith, Blair H., Snieder, Harold, Sofer, Tamar, Sørensen, Thorkild I. A., Spector, Tim D., Stanton, Alice, Steves, Claire J., Stumvoll, Michael, Sun, Liang, Tabara, Yasuharu, Tai, E. Shyong, Timpson, Nicholas J., Tönjes, Anke, Tuomilehto, Jaakko, Tusie, Teresa, Uusitupa, Matti, van der Harst, Pim, van Duijn, Cornelia, Vitart, Veronique, Vollenweider, Peter, Vrijkotte, Tanja G. M., Wagenknecht, Lynne E., Walker, Mark, Wang, Ya X., Wareham, Nick J., Watanabe, Richard M., Watkins, Hugh, Wei, Wen B., Wickremasinghe, Ananda R., Willemsen, Gonneke, Wilson, James F., Wong, Tien-Yin, Wu, Jer-Yuarn, Xiang, Anny H., Yanek, Lisa R., Yengo, Loïc, Yokota, Mitsuhiro, Zeggini, Eleftheria, Zheng, Wei, Zonderman, Alan B., Rotter, Jerome I., Gloyn, Anna L., McCarthy, Mark I., Dupuis, Josée, Meigs, James B., Scott, Robert A., Prokopenko, Inga, Leong, Aaron, Liu, Ching-Ti, Parker, Stephen C. J., Mohlke, Karen L., Langenberg, Claudia, Wheeler, Eleanor, Morris, Andrew P., and Barroso, Inês

Abstract

Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P< 5 × 10−8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.

Published
2021
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7. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

Author

Warrington, Nicole M., Beaumont, Robin N., Horikoshi, Momoko, Day, Felix R., Helgeland, Øyvind, Laurin, Charles, Bacelis, Jonas, Peng, Shouneng, Hao, Ke, Feenstra, Bjarke, Wood, Andrew R., Mahajan, Anubha, Tyrrell, Jessica, Robertson, Neil R., Rayner, N. William, Qiao, Zhen, Moen, Gunn-Helen, Vaudel, Marc, Marsit, Carmen J., Chen, Jia, Nodzenski, Michael, Schnurr, Theresia M., Zafarmand, Mohammad H., Bradfield, Jonathan P., Grarup, Niels, Kooijman, Marjolein N., Li-Gao, Ruifang, Geller, Frank, Ahluwalia, Tarunveer S., Paternoster, Lavinia, Rueedi, Rico, Huikari, Ville, Hottenga, Jouke-Jan, Lyytikäinen, Leo-Pekka, Cavadino, Alana, Metrustry, Sarah, Cousminer, Diana L., Wu, Ying, Thiering, Elisabeth, Wang, Carol A., Have, Christian T., Vilor-Tejedor, Natalia, Joshi, Peter K., Painter, Jodie N., Ntalla, Ioanna, Myhre, Ronny, Pitkänen, Niina, van Leeuwen, Elisabeth M., Joro, Raimo, Lagou, Vasiliki, Richmond, Rebecca C., Espinosa, Ana, Barton, Sheila J., Inskip, Hazel M., Holloway, John W., Santa-Marina, Loreto, Estivill, Xavier, Ang, Wei, Marsh, Julie A., Reichetzeder, Christoph, Marullo, Letizia, Hocher, Berthold, Lunetta, Kathryn L., Murabito, Joanne M., Relton, Caroline L., Kogevinas, Manolis, Chatzi, Leda, Allard, Catherine, Bouchard, Luigi, Hivert, Marie-France, Zhang, Ge, Muglia, Louis J., Heikkinen, Jani, Morgen, Camilla S., van Kampen, Antoine H. C., van Schaik, Barbera D. C., Mentch, Frank D., Langenberg, Claudia, Luan, Jian’an, Scott, Robert A., Zhao, Jing Hua, Hemani, Gibran, Ring, Susan M., Bennett, Amanda J., Gaulton, Kyle J., Fernandez-Tajes, Juan, van Zuydam, Natalie R., Medina-Gomez, Carolina, de Haan, Hugoline G., Rosendaal, Frits R., Kutalik, Zoltán, Marques-Vidal, Pedro, Das, Shikta, Willemsen, Gonneke, Mbarek, Hamdi, Müller-Nurasyid, Martina, Standl, Marie, Appel, Emil V. R., Fonvig, Cilius E., Trier, Caecilie, van Beijsterveldt, Catharina E. M., Murcia, Mario, Bustamante, Mariona, Bonas-Guarch, Sílvia, Hougaard, David M., Mercader, Josep M., Linneberg, Allan, Schraut, Katharina E., Lind, Penelope A., Medland, Sarah E., Shields, Beverley M., Knight, Bridget A., Chai, Jin-Fang, Panoutsopoulou, Kalliope, Bartels, Meike, Sánchez, Friman, Stokholm, Jakob, Torrents, David, Vinding, Rebecca K., Willems, Sara M., Atalay, Mustafa, Chawes, Bo L., Kovacs, Peter, Prokopenko, Inga, Tuke, Marcus A., Yaghootkar, Hanieh, Ruth, Katherine S., Jones, Samuel E., Loh, Po-Ru, Murray, Anna, Weedon, Michael N., Tönjes, Anke, Stumvoll, Michael, Michaelsen, Kim F., Eloranta, Aino-Maija, Lakka, Timo A., van Duijn, Cornelia M., Kiess, Wieland, Körner, Antje, Niinikoski, Harri, Pahkala, Katja, Raitakari, Olli T., Jacobsson, Bo, Zeggini, Eleftheria, Dedoussis, George V., Teo, Yik-Ying, Saw, Seang-Mei, Montgomery, Grant W., Campbell, Harry, Wilson, James F., Vrijkotte, Tanja G. M., Vrijheid, Martine, de Geus, Eco J. C. N., Hayes, M. Geoffrey, Kadarmideen, Haja N., Holm, Jens-Christian, Beilin, Lawrence J., Pennell, Craig E., Heinrich, Joachim, Adair, Linda S., Borja, Judith B., Mohlke, Karen L., Eriksson, Johan G., Widén, Elisabeth E., Hattersley, Andrew T., Spector, Tim D., Kähönen, Mika, Viikari, Jorma S., Lehtimäki, Terho, Boomsma, Dorret I., Sebert, Sylvain, Vollenweider, Peter, Sørensen, Thorkild I. A., Bisgaard, Hans, Bønnelykke, Klaus, Murray, Jeffrey C., Melbye, Mads, Nohr, Ellen A., Mook-Kanamori, Dennis O., Rivadeneira, Fernando, Hofman, Albert, Felix, Janine F., Jaddoe, Vincent W. V., Hansen, Torben, Pisinger, Charlotta, Vaag, Allan A., Pedersen, Oluf, Uitterlinden, André G., Järvelin, Marjo-Riitta, Power, Christine, Hyppönen, Elina, Scholtens, Denise M., Lowe, William L., Davey Smith, George, Timpson, Nicholas J., Morris, Andrew P., Wareham, Nicholas J., Hakonarson, Hakon, Grant, Struan F. A., Frayling, Timothy M., Lawlor, Debbie A., Njølstad, Pål R., Johansson, Stefan, Ong, Ken K., McCarthy, Mark I., Perry, John R. B., Evans, David M., and Freathy, Rachel M.

Abstract

Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n= 321,223) and offspring birth weight (n= 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight–blood pressure association is attributable to genetic effects, and not to intrauterine programming.

Published
2019
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8. Exome chip meta-analysis identifies novel loci and East Asian–specific coding variants that contribute to lipid levels and coronary artery disease

Author

Lu, Xiangfeng, Peloso, Gina M, Liu, Dajiang J, Wu, Ying, Zhang, He, Zhou, Wei, Li, Jun, Tang, Clara Sze-man, Dorajoo, Rajkumar, Li, Huaixing, Long, Jirong, Guo, Xiuqing, Xu, Ming, Spracklen, Cassandra N, Chen, Yang, Liu, Xuezhen, Zhang, Yan, Khor, Chiea Chuen, Liu, Jianjun, Sun, Liang, Wang, Laiyuan, Gao, Yu-Tang, Hu, Yao, Yu, Kuai, Wang, Yiqin, Cheung, Chloe Yu Yan, Wang, Feijie, Huang, Jianfeng, Fan, Qiao, Cai, Qiuyin, Chen, Shufeng, Shi, Jinxiu, Yang, Xueli, Zhao, Wanting, Sheu, Wayne H-H, Cherny, Stacey Shawn, He, Meian, Feranil, Alan B, Adair, Linda S, Gordon-Larsen, Penny, Du, Shufa, Varma, Rohit, Chen, Yii-Der Ida, Shu, Xiao-Ou, Lam, Karen Siu Ling, Wong, Tien Yin, Ganesh, Santhi K, Mo, Zengnan, Hveem, Kristian, Fritsche, Lars G, Nielsen, Jonas Bille, Tse, Hung-fat, Huo, Yong, Cheng, Ching-Yu, Chen, Y Eugene, Zheng, Wei, Tai, E Shyong, Gao, Wei, Lin, Xu, Huang, Wei, Abecasis, Goncalo, Kathiresan, Sekar, Mohlke, Karen L, Wu, Tangchun, Sham, Pak Chung, Gu, Dongfeng, and Willer, Cristen J

Abstract

Most genome-wide association studies have been of European individuals, even though most genetic variation in humans is seen only in non-European samples. To search for novel loci associated with blood lipid levels and clarify the mechanism of action at previously identified lipid loci, we used an exome array to examine protein-coding genetic variants in 47,532 East Asian individuals. We identified 255 variants at 41 loci that reached chip-wide significance, including 3 novel loci and 14 East Asian–specific coding variant associations. After a meta-analysis including >300,000 European samples, we identified an additional nine novel loci. Sixteen genes were identified by protein-altering variants in both East Asians and Europeans, and thus are likely to be functional genes. Our data demonstrate that most of the low-frequency or rare coding variants associated with lipids are population specific, and that examining genomic data across diverse ancestries may facilitate the identification of functional genes at associated loci.

Published
2017
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9. Common variants associated with plasma triglycerides and risk for coronary artery disease

Author

Do, Ron, primary, Willer, Cristen J, additional, Schmidt, Ellen M, additional, Sengupta, Sebanti, additional, Gao, Chi, additional, Peloso, Gina M, additional, Gustafsson, Stefan, additional, Kanoni, Stavroula, additional, Ganna, Andrea, additional, Chen, Jin, additional, Buchkovich, Martin L, additional, Mora, Samia, additional, Beckmann, Jacques S, additional, Bragg-Gresham, Jennifer L, additional, Chang, Hsing-Yi, additional, Demirkan, Ayşe, additional, Den Hertog, Heleen M, additional, Donnelly, Louise A, additional, Ehret, Georg B, additional, Esko, Tõnu, additional, Feitosa, Mary F, additional, Ferreira, Teresa, additional, Fischer, Krista, additional, Fontanillas, Pierre, additional, Fraser, Ross M, additional, Freitag, Daniel F, additional, Gurdasani, Deepti, additional, Heikkilä, Kauko, additional, Hyppönen, Elina, additional, Isaacs, Aaron, additional, Jackson, Anne U, additional, Johansson, Åsa, additional, Johnson, Toby, additional, Kaakinen, Marika, additional, Kettunen, Johannes, additional, Kleber, Marcus E, additional, Li, Xiaohui, additional, Luan, Jian'an, additional, Lyytikäinen, Leo-Pekka, additional, Magnusson, Patrik K E, additional, Mangino, Massimo, additional, Mihailov, Evelin, additional, Montasser, May E, additional, Müller-Nurasyid, Martina, additional, Nolte, Ilja M, additional, O'Connell, Jeffrey R, additional, Palmer, Cameron D, additional, Perola, Markus, additional, Petersen, Ann-Kristin, additional, Sanna, Serena, additional, Saxena, Richa, additional, Service, Susan K, additional, Shah, Sonia, additional, Shungin, Dmitry, additional, Sidore, Carlo, additional, Song, Ci, additional, Strawbridge, Rona J, additional, Surakka, Ida, additional, Tanaka, Toshiko, additional, Teslovich, Tanya M, additional, Thorleifsson, Gudmar, additional, Van den Herik, Evita G, additional, Voight, Benjamin F, additional, Volcik, Kelly A, additional, Waite, Lindsay L, additional, Wong, Andrew, additional, Wu, Ying, additional, Zhang, Weihua, additional, Absher, Devin, additional, Asiki, Gershim, additional, Barroso, Inês, additional, Been, Latonya F, additional, Bolton, Jennifer L, additional, Bonnycastle, Lori L, additional, Brambilla, Paolo, additional, Burnett, Mary S, additional, Cesana, Giancarlo, additional, Dimitriou, Maria, additional, Doney, Alex S F, additional, Döring, Angela, additional, Elliott, Paul, additional, Epstein, Stephen E, additional, Eyjolfsson, Gudmundur Ingi, additional, Gigante, Bruna, additional, Goodarzi, Mark O, additional, Grallert, Harald, additional, Gravito, Martha L, additional, Groves, Christopher J, additional, Hallmans, Göran, additional, Hartikainen, Anna-Liisa, additional, Hayward, Caroline, additional, Hernandez, Dena, additional, Hicks, Andrew A, additional, Holm, Hilma, additional, Hung, Yi-Jen, additional, Illig, Thomas, additional, Jones, Michelle R, additional, Kaleebu, Pontiano, additional, Kastelein, John J P, additional, Khaw, Kay-Tee, additional, Kim, Eric, additional, Klopp, Norman, additional, Komulainen, Pirjo, additional, Kumari, Meena, additional, Langenberg, Claudia, additional, Lehtimäki, Terho, additional, Lin, Shih-Yi, additional, Lindström, Jaana, additional, Loos, Ruth J F, additional, Mach, François, additional, McArdle, Wendy L, additional, Meisinger, Christa, additional, Mitchell, Braxton D, additional, Müller, Gabrielle, additional, Nagaraja, Ramaiah, additional, Narisu, Narisu, additional, Nieminen, Tuomo V M, additional, Nsubuga, Rebecca N, additional, Olafsson, Isleifur, additional, Ong, Ken K, additional, Palotie, Aarno, additional, Papamarkou, Theodore, additional, Pomilla, Cristina, additional, Pouta, Anneli, additional, Rader, Daniel J, additional, Reilly, Muredach P, additional, Ridker, Paul M, additional, Rivadeneira, Fernando, additional, Rudan, Igor, additional, Ruokonen, Aimo, additional, Samani, Nilesh, additional, Scharnagl, Hubert, additional, Seeley, Janet, additional, Silander, Kaisa, additional, Stančáková, Alena, additional, Stirrups, Kathleen, additional, Swift, Amy J, additional, Tiret, Laurence, additional, Uitterlinden, Andre G, additional, van Pelt, L Joost, additional, Vedantam, Sailaja, additional, Wainwright, Nicholas, additional, Wijmenga, Cisca, additional, Wild, Sarah H, additional, Willemsen, Gonneke, additional, Wilsgaard, Tom, additional, Wilson, James F, additional, Young, Elizabeth H, additional, Zhao, Jing Hua, additional, Adair, Linda S, additional, Arveiler, Dominique, additional, Assimes, Themistocles L, additional, Bandinelli, Stefania, additional, Bennett, Franklyn, additional, Bochud, Murielle, additional, Boehm, Bernhard O, additional, Boomsma, Dorret I, additional, Borecki, Ingrid B, additional, Bornstein, Stefan R, additional, Bovet, Pascal, additional, Burnier, Michel, additional, Campbell, Harry, additional, Chakravarti, Aravinda, additional, Chambers, John C, additional, Chen, Yii-Der Ida, additional, Collins, Francis S, additional, Cooper, Richard S, additional, Danesh, John, additional, Dedoussis, George, additional, de Faire, Ulf, additional, Feranil, Alan B, additional, Ferrières, Jean, additional, Ferrucci, Luigi, additional, Freimer, Nelson B, additional, Gieger, Christian, additional, Groop, Leif C, additional, Gudnason, Vilmundur, additional, Gyllensten, Ulf, additional, Hamsten, Anders, additional, Harris, Tamara B, additional, Hingorani, Aroon, additional, Hirschhorn, Joel N, additional, Hofman, Albert, additional, Hovingh, G Kees, additional, Hsiung, Chao Agnes, additional, Humphries, Steve E, additional, Hunt, Steven C, additional, Hveem, Kristian, additional, Iribarren, Carlos, additional, Järvelin, Marjo-Riitta, additional, Jula, Antti, additional, Kähönen, Mika, additional, Kaprio, Jaakko, additional, Kesäniemi, Antero, additional, Kivimaki, Mika, additional, Kooner, Jaspal S, additional, Koudstaal, Peter J, additional, Krauss, Ronald M, additional, Kuh, Diana, additional, Kuusisto, Johanna, additional, Kyvik, Kirsten O, additional, Laakso, Markku, additional, Lakka, Timo A, additional, Lind, Lars, additional, Lindgren, Cecilia M, additional, Martin, Nicholas G, additional, März, Winfried, additional, McCarthy, Mark I, additional, McKenzie, Colin A, additional, Meneton, Pierre, additional, Metspalu, Andres, additional, Moilanen, Leena, additional, Morris, Andrew D, additional, Munroe, Patricia B, additional, Njølstad, Inger, additional, Pedersen, Nancy L, additional, Power, Chris, additional, Pramstaller, Peter P, additional, Price, Jackie F, additional, Psaty, Bruce M, additional, Quertermous, Thomas, additional, Rauramaa, Rainer, additional, Saleheen, Danish, additional, Salomaa, Veikko, additional, Sanghera, Dharambir K, additional, Saramies, Jouko, additional, Schwarz, Peter E H, additional, Sheu, Wayne H-H, additional, Shuldiner, Alan R, additional, Siegbahn, Agneta, additional, Spector, Tim D, additional, Stefansson, Kari, additional, Strachan, David P, additional, Tayo, Bamidele O, additional, Tremoli, Elena, additional, Tuomilehto, Jaakko, additional, Uusitupa, Matti, additional, van Duijn, Cornelia M, additional, Vollenweider, Peter, additional, Wallentin, Lars, additional, Wareham, Nicholas J, additional, Whitfield, John B, additional, Wolffenbuttel, Bruce H R, additional, Altshuler, David, additional, Ordovas, Jose M, additional, Boerwinkle, Eric, additional, Palmer, Colin N A, additional, Thorsteinsdottir, Unnur, additional, Chasman, Daniel I, additional, Rotter, Jerome I, additional, Franks, Paul W, additional, Ripatti, Samuli, additional, Cupples, L Adrienne, additional, Sandhu, Manjinder S, additional, Rich, Stephen S, additional, Boehnke, Michael, additional, Deloukas, Panos, additional, Mohlke, Karen L, additional, Ingelsson, Erik, additional, Abecasis, Goncalo R, additional, Daly, Mark J, additional, Neale, Benjamin M, additional, and Kathiresan, Sekar, additional

Published
2013
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10. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians.

Author

Cho, Yoon Shin, Chen, Chien-Hsiun, Hu, Cheng, Long, Jirong, Hee Ong, Rick Twee, Sim, Xueling, Takeuchi, Fumihiko, Wu, Ying, Go, Min Jin, Yamauchi, Toshimasa, Chang, Yi-Cheng, Kwak, Soo Heon, Ma, Ronald C W, Yamamoto, Ken, Adair, Linda S, Aung, Tin, Cai, Qiuyin, Chang, Li-Ching, Chen, Yuan-Tsong, and Gao, Yutang

Subjects
GENETICS of type 2 diabetes, LOCUS (Genetics), META-analysis, EAST Asians, CHROMOSOME replication, PANCREATIC beta cells, GENE expression, DISEASES
Abstract

We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis (5,843 cases and 4,574 controls) and a stage 3 de novo replication analysis (12,284 cases and 13,172 controls). The combined analysis identified eight new T2D loci reaching genome-wide significance, which mapped in or near GLIS3, PEPD, FITM2-R3HDML-HNF4A, KCNK16, MAEA, GCC1-PAX4, PSMD6 and ZFAND3. GLIS3, which is involved in pancreatic beta cell development and insulin gene expression, is known for its association with fasting glucose levels. The evidence of an association with T2D for PEPD and HNF4A has been shown in previous studies. KCNK16 may regulate glucose-dependent insulin secretion in the pancreas. These findings, derived from an east Asian population, provide new perspectives on the etiology of T2D. [ABSTRACT FROM AUTHOR]

Published
2012
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11. Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight.

Author

Freathy, Rachel M., Mook-Kanamori, Dennis O., Sovio, Ulla, Prokopenko, Inga, Timpson, Nicholas J., Berry, Diane J., Warrington, Nicole M., Widen, Elisabeth, Hottenga, Jouke Jan, Kaakinen, Marika, Lange, Leslie A., Bradfield, Jonathan P., Kerkhof, Marjan, Marsh, Julie A., Mägi, Reedik, Chih-Mei Chen, Lyon, Helen N., Kirin, Mirna, Adair, Linda S., and Aulchenko, Yurii S.

Subjects
FETAL growth disorders, PERINATAL growth, FETAL development, BIRTH size, BIRTH weight, MATERNAL nutrition, GENETICS
Abstract

To identify genetic variants associated with birth weight, we meta-analyzed six genome-wide association (GWA) studies (n = 10,623 Europeans from pregnancy/birth cohorts) and followed up two lead signals in 13 replication studies (n = 27,591). rs900400 near LEKR1 and CCNL1 (P = 2 × 10−35) and rs9883204 in ADCY5 (P = 7 × 10−15) were robustly associated with birth weight. Correlated SNPs in ADCY5 were recently implicated in regulation of glucose levels and susceptibility to type 2 diabetes, providing evidence that the well-described association between lower birth weight and subsequent type 2 diabetes has a genetic component, distinct from the proposed role of programming by maternal nutrition. Using data from both SNPs, we found that the 9% of Europeans carrying four birth weight–lowering alleles were, on average, 113 g (95% CI 89–137 g) lighter at birth than the 24% with zero or one alleles (Ptrend = 7 × 10−30). The impact on birth weight is similar to that of a mother smoking 4–5 cigarettes per day in the third trimester of pregnancy. [ABSTRACT FROM AUTHOR]

Published
2010
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12. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation.

Author

Kato N, Loh M, Takeuchi F, Verweij N, Wang X, Zhang W, Kelly TN, Saleheen D, Lehne B, Leach IM, Drong AW, Abbott J, Wahl S, Tan ST, Scott WR, Campanella G, Chadeau-Hyam M, Afzal U, Ahluwalia TS, Bonder MJ, Chen P, Dehghan A, Edwards TL, Esko T, Go MJ, Harris SE, Hartiala J, Kasela S, Kasturiratne A, Khor CC, Kleber ME, Li H, Yu Mok Z, Nakatochi M, Sapari NS, Saxena R, Stewart AFR, Stolk L, Tabara Y, Teh AL, Wu Y, Wu JY, Zhang Y, Aits I, Da Silva Couto Alves A, Das S, Dorajoo R, Hopewell JC, Kim YK, Koivula RW, Luan J, Lyytikäinen LP, Nguyen QN, Pereira MA, Postmus I, Raitakari OT, Scannell Bryan M, Scott RA, Sorice R, Tragante V, Traglia M, White J, Yamamoto K, Zhang Y, Adair LS, Ahmed A, Akiyama K, Asif R, Aung T, Barroso I, Bjonnes A, Braun TR, Cai H, Chang LC, Chen CH, Cheng CY, Chong YS, Collins R, Courtney R, Davies G, Delgado G, Do LD, Doevendans PA, Gansevoort RT, Gao YT, Grammer TB, Grarup N, Grewal J, Gu D, Wander GS, Hartikainen AL, Hazen SL, He J, Heng CK, Hixson JE, Hofman A, Hsu C, Huang W, Husemoen LLN, Hwang JY, Ichihara S, Igase M, Isono M, Justesen JM, Katsuya T, Kibriya MG, Kim YJ, Kishimoto M, Koh WP, Kohara K, Kumari M, Kwek K, Lee NR, Lee J, Liao J, Lieb W, Liewald DCM, Matsubara T, Matsushita Y, Meitinger T, Mihailov E, Milani L, Mills R, Mononen N, Müller-Nurasyid M, Nabika T, Nakashima E, Ng HK, Nikus K, Nutile T, Ohkubo T, Ohnaka K, Parish S, Paternoster L, Peng H, Peters A, Pham ST, Pinidiyapathirage MJ, Rahman M, Rakugi H, Rolandsson O, Ann Rozario M, Ruggiero D, Sala CF, Sarju R, Shimokawa K, Snieder H, Sparsø T, Spiering W, Starr JM, Stott DJ, Stram DO, Sugiyama T, Szymczak S, Tang WHW, Tong L, Trompet S, Turjanmaa V, Ueshima H, Uitterlinden AG, Umemura S, Vaarasmaki M, van Dam RM, van Gilst WH, van Veldhuisen DJ, Viikari JS, Waldenberger M, Wang Y, Wang A, Wilson R, Wong TY, Xiang YB, Yamaguchi S, Ye X, Young RD, Young TL, Yuan JM, Zhou X, Asselbergs FW, Ciullo M, Clarke R, Deloukas P, Franke A, Franks PW, Franks S, Friedlander Y, Gross MD, Guo Z, Hansen T, Jarvelin MR, Jørgensen T, Jukema JW, Kähönen M, Kajio H, Kivimaki M, Lee JY, Lehtimäki T, Linneberg A, Miki T, Pedersen O, Samani NJ, Sørensen TIA, Takayanagi R, Toniolo D, Ahsan H, Allayee H, Chen YT, Danesh J, Deary IJ, Franco OH, Franke L, Heijman BT, Holbrook JD, Isaacs A, Kim BJ, Lin X, Liu J, März W, Metspalu A, Mohlke KL, Sanghera DK, Shu XO, van Meurs JBJ, Vithana E, Wickremasinghe AR, Wijmenga C, Wolffenbuttel BHW, Yokota M, Zheng W, Zhu D, Vineis P, Kyrtopoulos SA, Kleinjans JCS, McCarthy MI, Soong R, Gieger C, Scott J, Teo YY, He J, Elliott P, Tai ES, van der Harst P, Kooner JS, and Chambers JC

Subjects
Adult, Aged, Aged, 80 and over, Asian People genetics, Cardiovascular Diseases blood, Cardiovascular Diseases ethnology, Cardiovascular Diseases genetics, Female, Genetic Predisposition to Disease ethnology, Genetic Predisposition to Disease genetics, Genetic Variation, Genotype, Humans, Male, Middle Aged, Natriuretic Peptide, Brain blood, Peptide Fragments blood, Polymorphism, Single Nucleotide, Regression Analysis, Risk Factors, White People genetics, Blood Pressure genetics, DNA Methylation, Genetic Loci genetics, Genome-Wide Association Study methods
Abstract

We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10(-11) to 5.0 × 10(-21)). The sentinel blood pressure SNPs are enriched for association with DNA methylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNA methylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10(-6)). Our results provide new evidence for the role of DNA methylation in blood pressure regulation.

Published
2015
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13. Discovery and refinement of loci associated with lipid levels.

Author

Willer CJ, Schmidt EM, Sengupta S, Peloso GM, Gustafsson S, Kanoni S, Ganna A, Chen J, Buchkovich ML, Mora S, Beckmann JS, Bragg-Gresham JL, Chang HY, Demirkan A, Den Hertog HM, Do R, Donnelly LA, Ehret GB, Esko T, Feitosa MF, Ferreira T, Fischer K, Fontanillas P, Fraser RM, Freitag DF, Gurdasani D, Heikkilä K, Hyppönen E, Isaacs A, Jackson AU, Johansson Å, Johnson T, Kaakinen M, Kettunen J, Kleber ME, Li X, Luan J, Lyytikäinen LP, Magnusson PKE, Mangino M, Mihailov E, Montasser ME, Müller-Nurasyid M, Nolte IM, O'Connell JR, Palmer CD, Perola M, Petersen AK, Sanna S, Saxena R, Service SK, Shah S, Shungin D, Sidore C, Song C, Strawbridge RJ, Surakka I, Tanaka T, Teslovich TM, Thorleifsson G, Van den Herik EG, Voight BF, Volcik KA, Waite LL, Wong A, Wu Y, Zhang W, Absher D, Asiki G, Barroso I, Been LF, Bolton JL, Bonnycastle LL, Brambilla P, Burnett MS, Cesana G, Dimitriou M, Doney ASF, Döring A, Elliott P, Epstein SE, Ingi Eyjolfsson G, Gigante B, Goodarzi MO, Grallert H, Gravito ML, Groves CJ, Hallmans G, Hartikainen AL, Hayward C, Hernandez D, Hicks AA, Holm H, Hung YJ, Illig T, Jones MR, Kaleebu P, Kastelein JJP, Khaw KT, Kim E, Klopp N, Komulainen P, Kumari M, Langenberg C, Lehtimäki T, Lin SY, Lindström J, Loos RJF, Mach F, McArdle WL, Meisinger C, Mitchell BD, Müller G, Nagaraja R, Narisu N, Nieminen TVM, Nsubuga RN, Olafsson I, Ong KK, Palotie A, Papamarkou T, Pomilla C, Pouta A, Rader DJ, Reilly MP, Ridker PM, Rivadeneira F, Rudan I, Ruokonen A, Samani N, Scharnagl H, Seeley J, Silander K, Stančáková A, Stirrups K, Swift AJ, Tiret L, Uitterlinden AG, van Pelt LJ, Vedantam S, Wainwright N, Wijmenga C, Wild SH, Willemsen G, Wilsgaard T, Wilson JF, Young EH, Zhao JH, Adair LS, Arveiler D, Assimes TL, Bandinelli S, Bennett F, Bochud M, Boehm BO, Boomsma DI, Borecki IB, Bornstein SR, Bovet P, Burnier M, Campbell H, Chakravarti A, Chambers JC, Chen YI, Collins FS, Cooper RS, Danesh J, Dedoussis G, de Faire U, Feranil AB, Ferrières J, Ferrucci L, Freimer NB, Gieger C, Groop LC, Gudnason V, Gyllensten U, Hamsten A, Harris TB, Hingorani A, Hirschhorn JN, Hofman A, Hovingh GK, Hsiung CA, Humphries SE, Hunt SC, Hveem K, Iribarren C, Järvelin MR, Jula A, Kähönen M, Kaprio J, Kesäniemi A, Kivimaki M, Kooner JS, Koudstaal PJ, Krauss RM, Kuh D, Kuusisto J, Kyvik KO, Laakso M, Lakka TA, Lind L, Lindgren CM, Martin NG, März W, McCarthy MI, McKenzie CA, Meneton P, Metspalu A, Moilanen L, Morris AD, Munroe PB, Njølstad I, Pedersen NL, Power C, Pramstaller PP, Price JF, Psaty BM, Quertermous T, Rauramaa R, Saleheen D, Salomaa V, Sanghera DK, Saramies J, Schwarz PEH, Sheu WH, Shuldiner AR, Siegbahn A, Spector TD, Stefansson K, Strachan DP, Tayo BO, Tremoli E, Tuomilehto J, Uusitupa M, van Duijn CM, Vollenweider P, Wallentin L, Wareham NJ, Whitfield JB, Wolffenbuttel BHR, Ordovas JM, Boerwinkle E, Palmer CNA, Thorsteinsdottir U, Chasman DI, Rotter JI, Franks PW, Ripatti S, Cupples LA, Sandhu MS, Rich SS, Boehnke M, Deloukas P, Kathiresan S, Mohlke KL, Ingelsson E, and Abecasis GR

Subjects
Asian People genetics, Black People genetics, Cholesterol, HDL blood, Cholesterol, HDL genetics, Cholesterol, LDL blood, Cholesterol, LDL genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Triglycerides blood, Triglycerides genetics, White People genetics, Coronary Artery Disease blood, Coronary Artery Disease genetics, Lipids blood, Lipids genetics
Abstract

Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 × 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.

Published
2013
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14. New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism.

Author

Horikoshi M, Yaghootkar H, Mook-Kanamori DO, Sovio U, Taal HR, Hennig BJ, Bradfield JP, St Pourcain B, Evans DM, Charoen P, Kaakinen M, Cousminer DL, Lehtimäki T, Kreiner-Møller E, Warrington NM, Bustamante M, Feenstra B, Berry DJ, Thiering E, Pfab T, Barton SJ, Shields BM, Kerkhof M, van Leeuwen EM, Fulford AJ, Kutalik Z, Zhao JH, den Hoed M, Mahajan A, Lindi V, Goh LK, Hottenga JJ, Wu Y, Raitakari OT, Harder MN, Meirhaeghe A, Ntalla I, Salem RM, Jameson KA, Zhou K, Monies DM, Lagou V, Kirin M, Heikkinen J, Adair LS, Alkuraya FS, Al-Odaib A, Amouyel P, Andersson EA, Bennett AJ, Blakemore AI, Buxton JL, Dallongeville J, Das S, de Geus EJ, Estivill X, Flexeder C, Froguel P, Geller F, Godfrey KM, Gottrand F, Groves CJ, Hansen T, Hirschhorn JN, Hofman A, Hollegaard MV, Hougaard DM, Hyppönen E, Inskip HM, Isaacs A, Jørgensen T, Kanaka-Gantenbein C, Kemp JP, Kiess W, Kilpeläinen TO, Klopp N, Knight BA, Kuzawa CW, McMahon G, Newnham JP, Niinikoski H, Oostra BA, Pedersen L, Postma DS, Ring SM, Rivadeneira F, Robertson NR, Sebert S, Simell O, Slowinski T, Tiesler CM, Tönjes A, Vaag A, Viikari JS, Vink JM, Vissing NH, Wareham NJ, Willemsen G, Witte DR, Zhang H, Zhao J, Wilson JF, Stumvoll M, Prentice AM, Meyer BF, Pearson ER, Boreham CA, Cooper C, Gillman MW, Dedoussis GV, Moreno LA, Pedersen O, Saarinen M, Mohlke KL, Boomsma DI, Saw SM, Lakka TA, Körner A, Loos RJ, Ong KK, Vollenweider P, van Duijn CM, Koppelman GH, Hattersley AT, Holloway JW, Hocher B, Heinrich J, Power C, Melbye M, Guxens M, Pennell CE, Bønnelykke K, Bisgaard H, Eriksson JG, Widén E, Hakonarson H, Uitterlinden AG, Pouta A, Lawlor DA, Smith GD, Frayling TM, McCarthy MI, Grant SF, Jaddoe VW, Jarvelin MR, Timpson NJ, Prokopenko I, and Freathy RM

Subjects
Adult, Blood Pressure genetics, Diabetes Mellitus, Type 2 genetics, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Infant, Newborn, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Birth Weight genetics, Body Height genetics, Fetal Development genetics, Genetic Linkage, Quantitative Trait Loci
Abstract

Birth weight within the normal range is associated with a variety of adult-onset diseases, but the mechanisms behind these associations are poorly understood. Previous genome-wide association studies of birth weight identified a variant in the ADCY5 gene associated both with birth weight and type 2 diabetes and a second variant, near CCNL1, with no obvious link to adult traits. In an expanded genome-wide association meta-analysis and follow-up study of birth weight (of up to 69,308 individuals of European descent from 43 studies), we have now extended the number of loci associated at genome-wide significance to 7, accounting for a similar proportion of variance as maternal smoking. Five of the loci are known to be associated with other phenotypes: ADCY5 and CDKAL1 with type 2 diabetes, ADRB1 with adult blood pressure and HMGA2 and LCORL with adult height. Our findings highlight genetic links between fetal growth and postnatal growth and metabolism.

Published
2013
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15. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians.

Author

Cho YS, Chen CH, Hu C, Long J, Ong RT, Sim X, Takeuchi F, Wu Y, Go MJ, Yamauchi T, Chang YC, Kwak SH, Ma RC, Yamamoto K, Adair LS, Aung T, Cai Q, Chang LC, Chen YT, Gao Y, Hu FB, Kim HL, Kim S, Kim YJ, Lee JJ, Lee NR, Li Y, Liu JJ, Lu W, Nakamura J, Nakashima E, Ng DP, Tay WT, Tsai FJ, Wong TY, Yokota M, Zheng W, Zhang R, Wang C, So WY, Ohnaka K, Ikegami H, Hara K, Cho YM, Cho NH, Chang TJ, Bao Y, Hedman ÅK, Morris AP, McCarthy MI, Takayanagi R, Park KS, Jia W, Chuang LM, Chan JC, Maeda S, Kadowaki T, Lee JY, Wu JY, Teo YY, Tai ES, Shu XO, Mohlke KL, Kato N, Han BG, and Seielstad M

Subjects
Adult, Blood Glucose, Case-Control Studies, Chromosome Mapping, Asia, Eastern, Humans, Polymorphism, Single Nucleotide, Asian People genetics, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease, Genome-Wide Association Study
Abstract

We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis (5,843 cases and 4,574 controls) and a stage 3 de novo replication analysis (12,284 cases and 13,172 controls). The combined analysis identified eight new T2D loci reaching genome-wide significance, which mapped in or near GLIS3, PEPD, FITM2-R3HDML-HNF4A, KCNK16, MAEA, GCC1-PAX4, PSMD6 and ZFAND3. GLIS3, which is involved in pancreatic beta cell development and insulin gene expression, is known for its association with fasting glucose levels. The evidence of an association with T2D for PEPD and HNF4A has been shown in previous studies. KCNK16 may regulate glucose-dependent insulin secretion in the pancreas. These findings, derived from an east Asian population, provide new perspectives on the etiology of T2D.

Published
2011
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