%0 Journal Article %J PLoS Genet %D 2009 %T NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium. %A Heard-Costa, Nancy L %A Zillikens, M Carola %A Monda, Keri L %A Johansson, Asa %A Harris, Tamara B %A Fu, Mao %A Haritunians, Talin %A Feitosa, Mary F %A Aspelund, Thor %A Eiriksdottir, Gudny %A Garcia, Melissa %A Launer, Lenore J %A Smith, Albert V %A Mitchell, Braxton D %A McArdle, Patrick F %A Shuldiner, Alan R %A Bielinski, Suzette J %A Boerwinkle, Eric %A Brancati, Fred %A Demerath, Ellen W %A Pankow, James S %A Arnold, Alice M %A Chen, Yii-Der Ida %A Glazer, Nicole L %A McKnight, Barbara %A Psaty, Bruce M %A Rotter, Jerome I %A Amin, Najaf %A Campbell, Harry %A Gyllensten, Ulf %A Pattaro, Cristian %A Pramstaller, Peter P %A Rudan, Igor %A Struchalin, Maksim %A Vitart, Veronique %A Gao, Xiaoyi %A Kraja, Aldi %A Province, Michael A %A Zhang, Qunyuan %A Atwood, Larry D %A Dupuis, Josée %A Hirschhorn, Joel N %A Jaquish, Cashell E %A O'Donnell, Christopher J %A Vasan, Ramachandran S %A White, Charles C %A Aulchenko, Yurii S %A Estrada, Karol %A Hofman, Albert %A Rivadeneira, Fernando %A Uitterlinden, André G %A Witteman, Jacqueline C M %A Oostra, Ben A %A Kaplan, Robert C %A Gudnason, Vilmundur %A O'Connell, Jeffrey R %A Borecki, Ingrid B %A van Duijn, Cornelia M %A Cupples, L Adrienne %A Fox, Caroline S %A North, Kari E %K Aged %K Body Mass Index %K Cohort Studies %K European Continental Ancestry Group %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Nerve Tissue Proteins %K Obesity %K Polymorphism, Single Nucleotide %K Waist Circumference %X

Central abdominal fat is a strong risk factor for diabetes and cardiovascular disease. To identify common variants influencing central abdominal fat, we conducted a two-stage genome-wide association analysis for waist circumference (WC). In total, three loci reached genome-wide significance. In stage 1, 31,373 individuals of Caucasian descent from eight cohort studies confirmed the role of FTO and MC4R and identified one novel locus associated with WC in the neurexin 3 gene [NRXN3 (rs10146997, p = 6.4x10(-7))]. The association with NRXN3 was confirmed in stage 2 by combining stage 1 results with those from 38,641 participants in the GIANT consortium (p = 0.009 in GIANT only, p = 5.3x10(-8) for combined analysis, n = 70,014). Mean WC increase per copy of the G allele was 0.0498 z-score units (0.65 cm). This SNP was also associated with body mass index (BMI) [p = 7.4x10(-6), 0.024 z-score units (0.10 kg/m(2)) per copy of the G allele] and the risk of obesity (odds ratio 1.13, 95% CI 1.07-1.19; p = 3.2x10(-5) per copy of the G allele). The NRXN3 gene has been previously implicated in addiction and reward behavior, lending further evidence that common forms of obesity may be a central nervous system-mediated disorder. Our findings establish that common variants in NRXN3 are associated with WC, BMI, and obesity.

%B PLoS Genet %V 5 %P e1000539 %8 2009 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/19557197?dopt=Abstract %R 10.1371/journal.pgen.1000539 %0 Journal Article %J Proc Natl Acad Sci U S A %D 2010 %T Genome-wide association identifies OBFC1 as a locus involved in human leukocyte telomere biology. %A Levy, Daniel %A Neuhausen, Susan L %A Hunt, Steven C %A Kimura, Masayuki %A Hwang, Shih-Jen %A Chen, Wei %A Bis, Joshua C %A Fitzpatrick, Annette L %A Smith, Erin %A Johnson, Andrew D %A Gardner, Jeffrey P %A Srinivasan, Sathanur R %A Schork, Nicholas %A Rotter, Jerome I %A Herbig, Utz %A Psaty, Bruce M %A Sastrasinh, Malinee %A Murray, Sarah S %A Vasan, Ramachandran S %A Province, Michael A %A Glazer, Nicole L %A Lu, Xiaobin %A Cao, Xiaojian %A Kronmal, Richard %A Mangino, Massimo %A Soranzo, Nicole %A Spector, Tim D %A Berenson, Gerald S %A Aviv, Abraham %K Cohort Studies %K Genome-Wide Association Study %K Genotype %K Humans %K Leukocytes %K Polymorphism, Single Nucleotide %K Receptors, CXCR4 %K Telomere %K Telomere-Binding Proteins %X

Telomeres are engaged in a host of cellular functions, and their length is regulated by multiple genes. Telomere shortening, in the course of somatic cell replication, ultimately leads to replicative senescence. In humans, rare mutations in genes that regulate telomere length have been identified in monogenic diseases such as dyskeratosis congenita and idiopathic pulmonary fibrosis, which are associated with shortened leukocyte telomere length (LTL) and increased risk for aplastic anemia. Shortened LTL is observed in a host of aging-related complex genetic diseases and is associated with diminished survival in the elderly. We report results of a genome-wide association study of LTL in a consortium of four observational studies (n = 3,417 participants with LTL and genome-wide genotyping). SNPs in the regions of the oligonucleotide/oligosaccharide-binding folds containing one gene (OBFC1; rs4387287; P = 3.9 x 10(-9)) and chemokine (C-X-C motif) receptor 4 gene (CXCR4; rs4452212; P = 2.9 x 10(-8)) were associated with LTL at a genome-wide significance level (P < 5 x 10(-8)). We attempted replication of the top SNPs at these loci through de novo genotyping of 1,893 additional individuals and in silico lookup in another observational study (n = 2,876), and we confirmed the association findings for OBFC1 but not CXCR4. In addition, we confirmed the telomerase RNA component (TERC) as a gene associated with LTL (P = 1.1 x 10(-5)). The identification of OBFC1 through genome-wide association as a locus for interindividual variation in LTL in the general population advances the understanding of telomere biology in humans and may provide insights into aging-related disorders linked to altered LTL dynamics.

%B Proc Natl Acad Sci U S A %V 107 %P 9293-8 %8 2010 May 18 %G eng %N 20 %1 http://www.ncbi.nlm.nih.gov/pubmed/20421499?dopt=Abstract %R 10.1073/pnas.0911494107 %0 Journal Article %J Nature %D 2010 %T Hundreds of variants clustered in genomic loci and biological pathways affect human height. %A Lango Allen, Hana %A Estrada, Karol %A Lettre, Guillaume %A Berndt, Sonja I %A Weedon, Michael N %A Rivadeneira, Fernando %A Willer, Cristen J %A Jackson, Anne U %A Vedantam, Sailaja %A Raychaudhuri, Soumya %A Ferreira, Teresa %A Wood, Andrew R %A Weyant, Robert J %A Segrè, Ayellet V %A Speliotes, Elizabeth K %A Wheeler, Eleanor %A Soranzo, Nicole %A Park, Ju-Hyun %A Yang, Jian %A Gudbjartsson, Daniel %A Heard-Costa, Nancy L %A Randall, Joshua C %A Qi, Lu %A Vernon Smith, Albert %A Mägi, Reedik %A Pastinen, Tomi %A Liang, Liming %A Heid, Iris M %A Luan, Jian'an %A Thorleifsson, Gudmar %A Winkler, Thomas W %A Goddard, Michael E %A Sin Lo, Ken %A Palmer, Cameron %A Workalemahu, Tsegaselassie %A Aulchenko, Yurii S %A Johansson, Asa %A Zillikens, M Carola %A Feitosa, Mary F %A Esko, Tõnu %A Johnson, Toby %A Ketkar, Shamika %A Kraft, Peter %A Mangino, Massimo %A Prokopenko, Inga %A Absher, Devin %A Albrecht, Eva %A Ernst, Florian %A Glazer, Nicole L %A Hayward, Caroline %A Hottenga, Jouke-Jan %A Jacobs, Kevin B %A Knowles, Joshua W %A Kutalik, Zoltán %A Monda, Keri L %A Polasek, Ozren %A Preuss, Michael %A Rayner, Nigel W %A Robertson, Neil R %A Steinthorsdottir, Valgerdur %A Tyrer, Jonathan P %A Voight, Benjamin F %A Wiklund, Fredrik %A Xu, Jianfeng %A Zhao, Jing Hua %A Nyholt, Dale R %A Pellikka, Niina %A Perola, Markus %A Perry, John R B %A Surakka, Ida %A Tammesoo, Mari-Liis %A Altmaier, Elizabeth L %A Amin, Najaf %A Aspelund, Thor %A Bhangale, Tushar %A Boucher, Gabrielle %A Chasman, Daniel I %A Chen, Constance %A Coin, Lachlan %A Cooper, Matthew N %A Dixon, Anna L %A Gibson, Quince %A Grundberg, Elin %A Hao, Ke %A Juhani Junttila, M %A Kaplan, Lee M %A Kettunen, Johannes %A König, Inke R %A Kwan, Tony %A Lawrence, Robert W %A Levinson, Douglas F %A Lorentzon, Mattias %A McKnight, Barbara %A Morris, Andrew P %A Müller, Martina %A Suh Ngwa, Julius %A Purcell, Shaun %A Rafelt, Suzanne %A Salem, Rany M %A Salvi, Erika %A Sanna, Serena %A Shi, Jianxin %A Sovio, Ulla %A Thompson, John R %A Turchin, Michael C %A Vandenput, Liesbeth %A Verlaan, Dominique J %A Vitart, Veronique %A White, Charles C %A Ziegler, Andreas %A Almgren, Peter %A Balmforth, Anthony J %A Campbell, Harry %A Citterio, Lorena %A De Grandi, Alessandro %A Dominiczak, Anna %A Duan, Jubao %A Elliott, Paul %A Elosua, Roberto %A Eriksson, Johan G %A Freimer, Nelson B %A Geus, Eco J C %A Glorioso, Nicola %A Haiqing, Shen %A Hartikainen, Anna-Liisa %A Havulinna, Aki S %A Hicks, Andrew A %A Hui, Jennie %A Igl, Wilmar %A Illig, Thomas %A Jula, Antti %A Kajantie, Eero %A Kilpeläinen, Tuomas O %A Koiranen, Markku %A Kolcic, Ivana %A Koskinen, Seppo %A Kovacs, Peter %A Laitinen, Jaana %A Liu, Jianjun %A Lokki, Marja-Liisa %A Marusic, Ana %A Maschio, Andrea %A Meitinger, Thomas %A Mulas, Antonella %A Paré, Guillaume %A Parker, Alex N %A Peden, John F %A Petersmann, Astrid %A Pichler, Irene %A Pietiläinen, Kirsi H %A Pouta, Anneli %A Ridderstråle, Martin %A Rotter, Jerome I %A Sambrook, Jennifer G %A Sanders, Alan R %A Schmidt, Carsten Oliver %A Sinisalo, Juha %A Smit, Jan H %A Stringham, Heather M %A Bragi Walters, G %A Widen, Elisabeth %A Wild, Sarah H %A Willemsen, Gonneke %A Zagato, Laura %A Zgaga, Lina %A Zitting, Paavo %A Alavere, Helene %A Farrall, Martin %A McArdle, Wendy L %A Nelis, Mari %A Peters, Marjolein J %A Ripatti, Samuli %A van Meurs, Joyce B J %A Aben, Katja K %A Ardlie, Kristin G %A Beckmann, Jacques S %A Beilby, John P %A Bergman, Richard N %A Bergmann, Sven %A Collins, Francis S %A Cusi, Daniele %A den Heijer, Martin %A Eiriksdottir, Gudny %A Gejman, Pablo V %A Hall, Alistair S %A Hamsten, Anders %A Huikuri, Heikki V %A Iribarren, Carlos %A Kähönen, Mika %A Kaprio, Jaakko %A Kathiresan, Sekar %A Kiemeney, Lambertus %A Kocher, Thomas %A Launer, Lenore J %A Lehtimäki, Terho %A Melander, Olle %A Mosley, Tom H %A Musk, Arthur W %A Nieminen, Markku S %A O'Donnell, Christopher J %A Ohlsson, Claes %A Oostra, Ben %A Palmer, Lyle J %A Raitakari, Olli %A Ridker, Paul M %A Rioux, John D %A Rissanen, Aila %A Rivolta, Carlo %A Schunkert, Heribert %A Shuldiner, Alan R %A Siscovick, David S %A Stumvoll, Michael %A Tönjes, Anke %A Tuomilehto, Jaakko %A van Ommen, Gert-Jan %A Viikari, Jorma %A Heath, Andrew C %A Martin, Nicholas G %A Montgomery, Grant W %A Province, Michael A %A Kayser, Manfred %A Arnold, Alice M %A Atwood, Larry D %A Boerwinkle, Eric %A Chanock, Stephen J %A Deloukas, Panos %A Gieger, Christian %A Grönberg, Henrik %A Hall, Per %A Hattersley, Andrew T %A Hengstenberg, Christian %A Hoffman, Wolfgang %A Lathrop, G Mark %A Salomaa, Veikko %A Schreiber, Stefan %A Uda, Manuela %A Waterworth, Dawn %A Wright, Alan F %A Assimes, Themistocles L %A Barroso, Inês %A Hofman, Albert %A Mohlke, Karen L %A Boomsma, Dorret I %A Caulfield, Mark J %A Cupples, L Adrienne %A Erdmann, Jeanette %A Fox, Caroline S %A Gudnason, Vilmundur %A Gyllensten, Ulf %A Harris, Tamara B %A Hayes, Richard B %A Jarvelin, Marjo-Riitta %A Mooser, Vincent %A Munroe, Patricia B %A Ouwehand, Willem H %A Penninx, Brenda W %A Pramstaller, Peter P %A Quertermous, Thomas %A Rudan, Igor %A Samani, Nilesh J %A Spector, Timothy D %A Völzke, Henry %A Watkins, Hugh %A Wilson, James F %A Groop, Leif C %A Haritunians, Talin %A Hu, Frank B %A Kaplan, Robert C %A Metspalu, Andres %A North, Kari E %A Schlessinger, David %A Wareham, Nicholas J %A Hunter, David J %A O'Connell, Jeffrey R %A Strachan, David P %A Wichmann, H-Erich %A Borecki, Ingrid B %A van Duijn, Cornelia M %A Schadt, Eric E %A Thorsteinsdottir, Unnur %A Peltonen, Leena %A Uitterlinden, André G %A Visscher, Peter M %A Chatterjee, Nilanjan %A Loos, Ruth J F %A Boehnke, Michael %A McCarthy, Mark I %A Ingelsson, Erik %A Lindgren, Cecilia M %A Abecasis, Goncalo R %A Stefansson, Kari %A Frayling, Timothy M %A Hirschhorn, Joel N %K Body Height %K Chromosomes, Human, Pair 3 %K Genetic Loci %K Genetic Predisposition to Disease %K Genome, Human %K Genome-Wide Association Study %K Humans %K Metabolic Networks and Pathways %K Multifactorial Inheritance %K Phenotype %K Polymorphism, Single Nucleotide %X

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

%B Nature %V 467 %P 832-8 %8 2010 Oct 14 %G eng %N 7317 %1 http://www.ncbi.nlm.nih.gov/pubmed/20881960?dopt=Abstract %R 10.1038/nature09410 %0 Journal Article %J Nat Genet %D 2010 %T New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. %A Dupuis, Josée %A Langenberg, Claudia %A Prokopenko, Inga %A Saxena, Richa %A Soranzo, Nicole %A Jackson, Anne U %A Wheeler, Eleanor %A Glazer, Nicole L %A Bouatia-Naji, Nabila %A Gloyn, Anna L %A Lindgren, Cecilia M %A Mägi, Reedik %A Morris, Andrew P %A Randall, Joshua %A Johnson, Toby %A Elliott, Paul %A Rybin, Denis %A Thorleifsson, Gudmar %A Steinthorsdottir, Valgerdur %A Henneman, Peter %A Grallert, Harald %A Dehghan, Abbas %A Hottenga, Jouke Jan %A Franklin, Christopher S %A Navarro, Pau %A Song, Kijoung %A Goel, Anuj %A Perry, John R B %A Egan, Josephine M %A Lajunen, Taina %A Grarup, Niels %A Sparsø, Thomas %A Doney, Alex %A Voight, Benjamin F %A Stringham, Heather M %A Li, Man %A Kanoni, Stavroula %A Shrader, Peter %A Cavalcanti-Proença, Christine %A Kumari, Meena %A Qi, Lu %A Timpson, Nicholas J %A Gieger, Christian %A Zabena, Carina %A Rocheleau, Ghislain %A Ingelsson, Erik %A An, Ping %A O'Connell, Jeffrey %A Luan, Jian'an %A Elliott, Amanda %A McCarroll, Steven A %A Payne, Felicity %A Roccasecca, Rosa Maria %A Pattou, François %A Sethupathy, Praveen %A Ardlie, Kristin %A Ariyurek, Yavuz %A Balkau, Beverley %A Barter, Philip %A Beilby, John P %A Ben-Shlomo, Yoav %A Benediktsson, Rafn %A Bennett, Amanda J %A Bergmann, Sven %A Bochud, Murielle %A Boerwinkle, Eric %A Bonnefond, Amélie %A Bonnycastle, Lori L %A Borch-Johnsen, Knut %A Böttcher, Yvonne %A Brunner, Eric %A Bumpstead, Suzannah J %A Charpentier, Guillaume %A Chen, Yii-Der Ida %A Chines, Peter %A Clarke, Robert %A Coin, Lachlan J M %A Cooper, Matthew N %A Cornelis, Marilyn %A Crawford, Gabe %A Crisponi, Laura %A Day, Ian N M %A de Geus, Eco J C %A Delplanque, Jerome %A Dina, Christian %A Erdos, Michael R %A Fedson, Annette C %A Fischer-Rosinsky, Antje %A Forouhi, Nita G %A Fox, Caroline S %A Frants, Rune %A Franzosi, Maria Grazia %A Galan, Pilar %A Goodarzi, Mark O %A Graessler, Jürgen %A Groves, Christopher J %A Grundy, Scott %A Gwilliam, Rhian %A Gyllensten, Ulf %A Hadjadj, Samy %A Hallmans, Göran %A Hammond, Naomi %A Han, Xijing %A Hartikainen, Anna-Liisa %A Hassanali, Neelam %A Hayward, Caroline %A Heath, Simon C %A Hercberg, Serge %A Herder, Christian %A Hicks, Andrew A %A Hillman, David R %A Hingorani, Aroon D %A Hofman, Albert %A Hui, Jennie %A Hung, Joe %A Isomaa, Bo %A Johnson, Paul R V %A Jørgensen, Torben %A Jula, Antti %A Kaakinen, Marika %A Kaprio, Jaakko %A Kesaniemi, Y Antero %A Kivimaki, Mika %A Knight, Beatrice %A Koskinen, Seppo %A Kovacs, Peter %A Kyvik, Kirsten Ohm %A Lathrop, G Mark %A Lawlor, Debbie A %A Le Bacquer, Olivier %A Lecoeur, Cécile %A Li, Yun %A Lyssenko, Valeriya %A Mahley, Robert %A Mangino, Massimo %A Manning, Alisa K %A Martínez-Larrad, María Teresa %A McAteer, Jarred B %A McCulloch, Laura J %A McPherson, Ruth %A Meisinger, Christa %A Melzer, David %A Meyre, David %A Mitchell, Braxton D %A Morken, Mario A %A Mukherjee, Sutapa %A Naitza, Silvia %A Narisu, Narisu %A Neville, Matthew J %A Oostra, Ben A %A Orrù, Marco %A Pakyz, Ruth %A Palmer, Colin N A %A Paolisso, Giuseppe %A Pattaro, Cristian %A Pearson, Daniel %A Peden, John F %A Pedersen, Nancy L %A Perola, Markus %A Pfeiffer, Andreas F H %A Pichler, Irene %A Polasek, Ozren %A Posthuma, Danielle %A Potter, Simon C %A Pouta, Anneli %A Province, Michael A %A Psaty, Bruce M %A Rathmann, Wolfgang %A Rayner, Nigel W %A Rice, Kenneth %A Ripatti, Samuli %A Rivadeneira, Fernando %A Roden, Michael %A Rolandsson, Olov %A Sandbaek, Annelli %A Sandhu, Manjinder %A Sanna, Serena %A Sayer, Avan Aihie %A Scheet, Paul %A Scott, Laura J %A Seedorf, Udo %A Sharp, Stephen J %A Shields, Beverley %A Sigurethsson, Gunnar %A Sijbrands, Eric J G %A Silveira, Angela %A Simpson, Laila %A Singleton, Andrew %A Smith, Nicholas L %A Sovio, Ulla %A Swift, Amy %A Syddall, Holly %A Syvänen, Ann-Christine %A Tanaka, Toshiko %A Thorand, Barbara %A Tichet, Jean %A Tönjes, Anke %A Tuomi, Tiinamaija %A Uitterlinden, André G %A van Dijk, Ko Willems %A van Hoek, Mandy %A Varma, Dhiraj %A Visvikis-Siest, Sophie %A Vitart, Veronique %A Vogelzangs, Nicole %A Waeber, Gérard %A Wagner, Peter J %A Walley, Andrew %A Walters, G Bragi %A Ward, Kim L %A Watkins, Hugh %A Weedon, Michael N %A Wild, Sarah H %A Willemsen, Gonneke %A Witteman, Jaqueline C M %A Yarnell, John W G %A Zeggini, Eleftheria %A Zelenika, Diana %A Zethelius, Björn %A Zhai, Guangju %A Zhao, Jing Hua %A Zillikens, M Carola %A Borecki, Ingrid B %A Loos, Ruth J F %A Meneton, Pierre %A Magnusson, Patrik K E %A Nathan, David M %A Williams, Gordon H %A Hattersley, Andrew T %A Silander, Kaisa %A Salomaa, Veikko %A Smith, George Davey %A Bornstein, Stefan R %A Schwarz, Peter %A Spranger, Joachim %A Karpe, Fredrik %A Shuldiner, Alan R %A Cooper, Cyrus %A Dedoussis, George V %A Serrano-Ríos, Manuel %A Morris, Andrew D %A Lind, Lars %A Palmer, Lyle J %A Hu, Frank B %A Franks, Paul W %A Ebrahim, Shah %A Marmot, Michael %A Kao, W H Linda %A Pankow, James S %A Sampson, Michael J %A Kuusisto, Johanna %A Laakso, Markku %A Hansen, Torben %A Pedersen, Oluf %A Pramstaller, Peter Paul %A Wichmann, H Erich %A Illig, Thomas %A Rudan, Igor %A Wright, Alan F %A Stumvoll, Michael %A Campbell, Harry %A Wilson, James F %A Bergman, Richard N %A Buchanan, Thomas A %A Collins, Francis S %A Mohlke, Karen L %A Tuomilehto, Jaakko %A Valle, Timo T %A Altshuler, David %A Rotter, Jerome I %A Siscovick, David S %A Penninx, Brenda W J H %A Boomsma, Dorret I %A Deloukas, Panos %A Spector, Timothy D %A Frayling, Timothy M %A Ferrucci, Luigi %A Kong, Augustine %A Thorsteinsdottir, Unnur %A Stefansson, Kari %A van Duijn, Cornelia M %A Aulchenko, Yurii S %A Cao, Antonio %A Scuteri, Angelo %A Schlessinger, David %A Uda, Manuela %A Ruokonen, Aimo %A Jarvelin, Marjo-Riitta %A Waterworth, Dawn M %A Vollenweider, Peter %A Peltonen, Leena %A Mooser, Vincent %A Abecasis, Goncalo R %A Wareham, Nicholas J %A Sladek, Robert %A Froguel, Philippe %A Watanabe, Richard M %A Meigs, James B %A Groop, Leif %A Boehnke, Michael %A McCarthy, Mark I %A Florez, Jose C %A Barroso, Inês %K Adolescent %K Adult %K Alleles %K Blood Glucose %K Child %K Databases, Genetic %K Diabetes Mellitus, Type 2 %K DNA Copy Number Variations %K Fasting %K Gene Expression Regulation %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Homeostasis %K Humans %K Meta-Analysis as Topic %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Quantitative Trait, Heritable %K Reproducibility of Results %X

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.

%B Nat Genet %V 42 %P 105-16 %8 2010 Feb %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/20081858?dopt=Abstract %R 10.1038/ng.520 %0 Journal Article %J Diabetes %D 2011 %T A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium. %A Kraja, Aldi T %A Vaidya, Dhananjay %A Pankow, James S %A Goodarzi, Mark O %A Assimes, Themistocles L %A Kullo, Iftikhar J %A Sovio, Ulla %A Mathias, Rasika A %A Sun, Yan V %A Franceschini, Nora %A Absher, Devin %A Li, Guo %A Zhang, Qunyuan %A Feitosa, Mary F %A Glazer, Nicole L %A Haritunians, Talin %A Hartikainen, Anna-Liisa %A Knowles, Joshua W %A North, Kari E %A Iribarren, Carlos %A Kral, Brian %A Yanek, Lisa %A O'Reilly, Paul F %A McCarthy, Mark I %A Jaquish, Cashell %A Couper, David J %A Chakravarti, Aravinda %A Psaty, Bruce M %A Becker, Lewis C %A Province, Michael A %A Boerwinkle, Eric %A Quertermous, Thomas %A Palotie, Leena %A Jarvelin, Marjo-Riitta %A Becker, Diane M %A Kardia, Sharon L R %A Rotter, Jerome I %A Chen, Yii-Der Ida %A Borecki, Ingrid B %K Adult %K Aged %K Female %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Male %K Meta-Analysis as Topic %K Metabolic Syndrome %K Middle Aged %K Phenotype %K Polymorphism, Single Nucleotide %X

OBJECTIVE The metabolic syndrome (MetS) is defined as concomitant disorders of lipid and glucose metabolism, central obesity, and high blood pressure, with an increased risk of type 2 diabetes and cardiovascular disease. This study tests whether common genetic variants with pleiotropic effects account for some of the correlated architecture among five metabolic phenotypes that define MetS. RESEARCH DESIGN AND METHODS Seven studies of the STAMPEED consortium, comprising 22,161 participants of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel of ∼2.5 million imputed single nucleotide polymorphisms (SNPs). Phenotypes were defined by the National Cholesterol Education Program (NCEP) criteria for MetS in pairwise combinations. Individuals exceeding the NCEP thresholds for both traits of a pair were considered affected. RESULTS Twenty-nine common variants were associated with MetS or a pair of traits. Variants in the genes LPL, CETP, APOA5 (and its cluster), GCKR (and its cluster), LIPC, TRIB1, LOC100128354/MTNR1B, ABCB11, and LOC100129150 were further tested for their association with individual qualitative and quantitative traits. None of the 16 top SNPs (one per gene) associated simultaneously with more than two individual traits. Of them 11 variants showed nominal associations with MetS per se. The effects of 16 top SNPs on the quantitative traits were relatively small, together explaining from ∼9% of the variance in triglycerides, 5.8% of high-density lipoprotein cholesterol, 3.6% of fasting glucose, and 1.4% of systolic blood pressure. CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants.

%B Diabetes %V 60 %P 1329-39 %8 2011 Apr %G eng %N 4 %1 http://www.ncbi.nlm.nih.gov/pubmed/21386085?dopt=Abstract %R 10.2337/db10-1011 %0 Journal Article %J Genet Epidemiol %D 2011 %T Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients. %A Manning, Alisa K %A LaValley, Michael %A Liu, Ching-Ti %A Rice, Kenneth %A An, Ping %A Liu, Yongmei %A Miljkovic, Iva %A Rasmussen-Torvik, Laura %A Harris, Tamara B %A Province, Michael A %A Borecki, Ingrid B %A Florez, Jose C %A Meigs, James B %A Cupples, L Adrienne %A Dupuis, Josée %K Adult %K Aged %K Body Mass Index %K Confidence Intervals %K Diabetes Mellitus, Type 2 %K Environment %K Fasting %K Female %K Genome, Human %K Genome-Wide Association Study %K Genotype %K Humans %K Insulin %K Least-Squares Analysis %K Male %K Mathematical Computing %K Meta-Analysis as Topic %K Middle Aged %K Polymorphism, Single Nucleotide %K PPAR gamma %X

INTRODUCTION: Genetic discoveries are validated through the meta-analysis of genome-wide association scans in large international consortia. Because environmental variables may interact with genetic factors, investigation of differing genetic effects for distinct levels of an environmental exposure in these large consortia may yield additional susceptibility loci undetected by main effects analysis. We describe a method of joint meta-analysis (JMA) of SNP and SNP by Environment (SNP × E) regression coefficients for use in gene-environment interaction studies.

METHODS: In testing SNP × E interactions, one approach uses a two degree of freedom test to identify genetic variants that influence the trait of interest. This approach detects both main and interaction effects between the trait and the SNP. We propose a method to jointly meta-analyze the SNP and SNP × E coefficients using multivariate generalized least squares. This approach provides confidence intervals of the two estimates, a joint significance test for SNP and SNP × E terms, and a test of homogeneity across samples.

RESULTS: We present a simulation study comparing this method to four other methods of meta-analysis and demonstrate that the JMA performs better than the others when both main and interaction effects are present. Additionally, we implemented our methods in a meta-analysis of the association between SNPs from the type 2 diabetes-associated gene PPARG and log-transformed fasting insulin levels and interaction by body mass index in a combined sample of 19,466 individuals from five cohorts.

%B Genet Epidemiol %V 35 %P 11-8 %8 2011 Jan %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/21181894?dopt=Abstract %R 10.1002/gepi.20546 %0 Journal Article %J Nature %D 2012 %T FTO genotype is associated with phenotypic variability of body mass index. %A Yang, Jian %A Loos, Ruth J F %A Powell, Joseph E %A Medland, Sarah E %A Speliotes, Elizabeth K %A Chasman, Daniel I %A Rose, Lynda M %A Thorleifsson, Gudmar %A Steinthorsdottir, Valgerdur %A Mägi, Reedik %A Waite, Lindsay %A Smith, Albert Vernon %A Yerges-Armstrong, Laura M %A Monda, Keri L %A Hadley, David %A Mahajan, Anubha %A Li, Guo %A Kapur, Karen %A Vitart, Veronique %A Huffman, Jennifer E %A Wang, Sophie R %A Palmer, Cameron %A Esko, Tõnu %A Fischer, Krista %A Zhao, Jing Hua %A Demirkan, Ayse %A Isaacs, Aaron %A Feitosa, Mary F %A Luan, Jian'an %A Heard-Costa, Nancy L %A White, Charles %A Jackson, Anne U %A Preuss, Michael %A Ziegler, Andreas %A Eriksson, Joel %A Kutalik, Zoltán %A Frau, Francesca %A Nolte, Ilja M %A van Vliet-Ostaptchouk, Jana V %A Hottenga, Jouke-Jan %A Jacobs, Kevin B %A Verweij, Niek %A Goel, Anuj %A Medina-Gómez, Carolina %A Estrada, Karol %A Bragg-Gresham, Jennifer Lynn %A Sanna, Serena %A Sidore, Carlo %A Tyrer, Jonathan %A Teumer, Alexander %A Prokopenko, Inga %A Mangino, Massimo %A Lindgren, Cecilia M %A Assimes, Themistocles L %A Shuldiner, Alan R %A Hui, Jennie %A Beilby, John P %A McArdle, Wendy L %A Hall, Per %A Haritunians, Talin %A Zgaga, Lina %A Kolcic, Ivana %A Polasek, Ozren %A Zemunik, Tatijana %A Oostra, Ben A %A Junttila, M Juhani %A Grönberg, Henrik %A Schreiber, Stefan %A Peters, Annette %A Hicks, Andrew A %A Stephens, Jonathan %A Foad, Nicola S %A Laitinen, Jaana %A Pouta, Anneli %A Kaakinen, Marika %A Willemsen, Gonneke %A Vink, Jacqueline M %A Wild, Sarah H %A Navis, Gerjan %A Asselbergs, Folkert W %A Homuth, Georg %A John, Ulrich %A Iribarren, Carlos %A Harris, Tamara %A Launer, Lenore %A Gudnason, Vilmundur %A O'Connell, Jeffrey R %A Boerwinkle, Eric %A Cadby, Gemma %A Palmer, Lyle J %A James, Alan L %A Musk, Arthur W %A Ingelsson, Erik %A Psaty, Bruce M %A Beckmann, Jacques S %A Waeber, Gérard %A Vollenweider, Peter %A Hayward, Caroline %A Wright, Alan F %A Rudan, Igor %A Groop, Leif C %A Metspalu, Andres %A Khaw, Kay Tee %A van Duijn, Cornelia M %A Borecki, Ingrid B %A Province, Michael A %A Wareham, Nicholas J %A Tardif, Jean-Claude %A Huikuri, Heikki V %A Cupples, L Adrienne %A Atwood, Larry D %A Fox, Caroline S %A Boehnke, Michael %A Collins, Francis S %A Mohlke, Karen L %A Erdmann, Jeanette %A Schunkert, Heribert %A Hengstenberg, Christian %A Stark, Klaus %A Lorentzon, Mattias %A Ohlsson, Claes %A Cusi, Daniele %A Staessen, Jan A %A van der Klauw, Melanie M %A Pramstaller, Peter P %A Kathiresan, Sekar %A Jolley, Jennifer D %A Ripatti, Samuli %A Jarvelin, Marjo-Riitta %A de Geus, Eco J C %A Boomsma, Dorret I %A Penninx, Brenda %A Wilson, James F %A Campbell, Harry %A Chanock, Stephen J %A van der Harst, Pim %A Hamsten, Anders %A Watkins, Hugh %A Hofman, Albert %A Witteman, Jacqueline C %A Zillikens, M Carola %A Uitterlinden, André G %A Rivadeneira, Fernando %A Zillikens, M Carola %A Kiemeney, Lambertus A %A Vermeulen, Sita H %A Abecasis, Goncalo R %A Schlessinger, David %A Schipf, Sabine %A Stumvoll, Michael %A Tönjes, Anke %A Spector, Tim D %A North, Kari E %A Lettre, Guillaume %A McCarthy, Mark I %A Berndt, Sonja I %A Heath, Andrew C %A Madden, Pamela A F %A Nyholt, Dale R %A Montgomery, Grant W %A Martin, Nicholas G %A McKnight, Barbara %A Strachan, David P %A Hill, William G %A Snieder, Harold %A Ridker, Paul M %A Thorsteinsdottir, Unnur %A Stefansson, Kari %A Frayling, Timothy M %A Hirschhorn, Joel N %A Goddard, Michael E %A Visscher, Peter M %K Alpha-Ketoglutarate-Dependent Dioxygenase FTO %K Body Height %K Body Mass Index %K Co-Repressor Proteins %K Female %K Genetic Variation %K Genome-Wide Association Study %K Humans %K Male %K Nerve Tissue Proteins %K Phenotype %K Polymorphism, Single Nucleotide %K Proteins %K Repressor Proteins %X

There is evidence across several species for genetic control of phenotypic variation of complex traits, such that the variance among phenotypes is genotype dependent. Understanding genetic control of variability is important in evolutionary biology, agricultural selection programmes and human medicine, yet for complex traits, no individual genetic variants associated with variance, as opposed to the mean, have been identified. Here we perform a meta-analysis of genome-wide association studies of phenotypic variation using ∼170,000 samples on height and body mass index (BMI) in human populations. We report evidence that the single nucleotide polymorphism (SNP) rs7202116 at the FTO gene locus, which is known to be associated with obesity (as measured by mean BMI for each rs7202116 genotype), is also associated with phenotypic variability. We show that the results are not due to scale effects or other artefacts, and find no other experiment-wise significant evidence for effects on variability, either at loci other than FTO for BMI or at any locus for height. The difference in variance for BMI among individuals with opposite homozygous genotypes at the FTO locus is approximately 7%, corresponding to a difference of ∼0.5 kilograms in the standard deviation of weight. Our results indicate that genetic variants can be discovered that are associated with variability, and that between-person variability in obesity can partly be explained by the genotype at the FTO locus. The results are consistent with reported FTO by environment interactions for BMI, possibly mediated by DNA methylation. Our BMI results for other SNPs and our height results for all SNPs suggest that most genetic variants, including those that influence mean height or mean BMI, are not associated with phenotypic variance, or that their effects on variability are too small to detect even with samples sizes greater than 100,000.

%B Nature %V 490 %P 267-72 %8 2012 Oct 11 %G eng %N 7419 %1 http://www.ncbi.nlm.nih.gov/pubmed/22982992?dopt=Abstract %R 10.1038/nature11401 %0 Journal Article %J Am J Respir Crit Care Med %D 2012 %T Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction. %A Wilk, Jemma B %A Shrine, Nick R G %A Loehr, Laura R %A Zhao, Jing Hua %A Manichaikul, Ani %A Lopez, Lorna M %A Smith, Albert Vernon %A Heckbert, Susan R %A Smolonska, Joanna %A Tang, Wenbo %A Loth, Daan W %A Curjuric, Ivan %A Hui, Jennie %A Cho, Michael H %A Latourelle, Jeanne C %A Henry, Amanda P %A Aldrich, Melinda %A Bakke, Per %A Beaty, Terri H %A Bentley, Amy R %A Borecki, Ingrid B %A Brusselle, Guy G %A Burkart, Kristin M %A Chen, Ting-Hsu %A Couper, David %A Crapo, James D %A Davies, Gail %A Dupuis, Josée %A Franceschini, Nora %A Gulsvik, Amund %A Hancock, Dana B %A Harris, Tamara B %A Hofman, Albert %A Imboden, Medea %A James, Alan L %A Khaw, Kay-Tee %A Lahousse, Lies %A Launer, Lenore J %A Litonjua, Augusto %A Liu, Yongmei %A Lohman, Kurt K %A Lomas, David A %A Lumley, Thomas %A Marciante, Kristin D %A McArdle, Wendy L %A Meibohm, Bernd %A Morrison, Alanna C %A Musk, Arthur W %A Myers, Richard H %A North, Kari E %A Postma, Dirkje S %A Psaty, Bruce M %A Rich, Stephen S %A Rivadeneira, Fernando %A Rochat, Thierry %A Rotter, Jerome I %A Soler Artigas, Maria %A Starr, John M %A Uitterlinden, André G %A Wareham, Nicholas J %A Wijmenga, Cisca %A Zanen, Pieter %A Province, Michael A %A Silverman, Edwin K %A Deary, Ian J %A Palmer, Lyle J %A Cassano, Patricia A %A Gudnason, Vilmundur %A Barr, R Graham %A Loos, Ruth J F %A Strachan, David P %A London, Stephanie J %A Boezen, H Marike %A Probst-Hensch, Nicole %A Gharib, Sina A %A Hall, Ian P %A O'Connor, George T %A Tobin, Martin D %A Stricker, Bruno H %K Aged %K Female %K Forced Expiratory Volume %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Nerve Tissue Proteins %K Polymorphism, Single Nucleotide %K Pulmonary Disease, Chronic Obstructive %K Receptors, Nicotinic %K Receptors, Serotonin, 5-HT4 %K Smoking %K Vital Capacity %X

RATIONALE: Genome-wide association studies (GWAS) have identified loci influencing lung function, but fewer genes influencing chronic obstructive pulmonary disease (COPD) are known.

OBJECTIVES: Perform meta-analyses of GWAS for airflow obstruction, a key pathophysiologic characteristic of COPD assessed by spirometry, in population-based cohorts examining all participants, ever smokers, never smokers, asthma-free participants, and more severe cases.

METHODS: Fifteen cohorts were studied for discovery (3,368 affected; 29,507 unaffected), and a population-based family study and a meta-analysis of case-control studies were used for replication and regional follow-up (3,837 cases; 4,479 control subjects). Airflow obstruction was defined as FEV(1) and its ratio to FVC (FEV(1)/FVC) both less than their respective lower limits of normal as determined by published reference equations.

MEASUREMENTS AND MAIN RESULTS: The discovery meta-analyses identified one region on chromosome 15q25.1 meeting genome-wide significance in ever smokers that includes AGPHD1, IREB2, and CHRNA5/CHRNA3 genes. The region was also modestly associated among never smokers. Gene expression studies confirmed the presence of CHRNA5/3 in lung, airway smooth muscle, and bronchial epithelial cells. A single-nucleotide polymorphism in HTR4, a gene previously related to FEV(1)/FVC, achieved genome-wide statistical significance in combined meta-analysis. Top single-nucleotide polymorphisms in ADAM19, RARB, PPAP2B, and ADAMTS19 were nominally replicated in the COPD meta-analysis.

CONCLUSIONS: These results suggest an important role for the CHRNA5/3 region as a genetic risk factor for airflow obstruction that may be independent of smoking and implicate the HTR4 gene in the etiology of airflow obstruction.

%B Am J Respir Crit Care Med %V 186 %P 622-32 %8 2012 Oct 01 %G eng %N 7 %1 http://www.ncbi.nlm.nih.gov/pubmed/22837378?dopt=Abstract %R 10.1164/rccm.201202-0366OC %0 Journal Article %J Hum Mol Genet %D 2012 %T Genome-wide meta-analysis points to CTC1 and ZNF676 as genes regulating telomere homeostasis in humans. %A Mangino, Massimo %A Hwang, Shih-Jen %A Spector, Timothy D %A Hunt, Steven C %A Kimura, Masayuki %A Fitzpatrick, Annette L %A Christiansen, Lene %A Petersen, Inge %A Elbers, Clara C %A Harris, Tamara %A Chen, Wei %A Srinivasan, Sathanur R %A Kark, Jeremy D %A Benetos, Athanase %A El Shamieh, Said %A Visvikis-Siest, Sophie %A Christensen, Kaare %A Berenson, Gerald S %A Valdes, Ana M %A Viñuela, Ana %A Garcia, Melissa %A Arnett, Donna K %A Broeckel, Ulrich %A Province, Michael A %A Pankow, James S %A Kammerer, Candace %A Liu, Yongmei %A Nalls, Michael %A Tishkoff, Sarah %A Thomas, Fridtjof %A Ziv, Elad %A Psaty, Bruce M %A Bis, Joshua C %A Rotter, Jerome I %A Taylor, Kent D %A Smith, Erin %A Schork, Nicholas J %A Levy, Daniel %A Aviv, Abraham %K Genome-Wide Association Study %K Humans %K Kruppel-Like Transcription Factors %K Telomere %K Telomere Homeostasis %K Telomere-Binding Proteins %X

Leukocyte telomere length (LTL) is associated with a number of common age-related diseases and is a heritable trait. Previous genome-wide association studies (GWASs) identified two loci on chromosomes 3q26.2 (TERC) and 10q24.33 (OBFC1) that are associated with the inter-individual LTL variation. We performed a meta-analysis of 9190 individuals from six independent GWAS and validated our findings in 2226 individuals from four additional studies. We confirmed previously reported associations with OBFC1 (rs9419958 P = 9.1 × 10(-11)) and with the telomerase RNA component TERC (rs1317082, P = 1.1 × 10(-8)). We also identified two novel genomic regions associated with LTL variation that map near a conserved telomere maintenance complex component 1 (CTC1; rs3027234, P = 3.6 × 10(-8)) on chromosome17p13.1 and zinc finger protein 676 (ZNF676; rs412658, P = 3.3 × 10(-8)) on 19p12. The minor allele of rs3027234 was associated with both shorter LTL and lower expression of CTC1. Our findings are consistent with the recent observations that point mutations in CTC1 cause short telomeres in both Arabidopsis and humans affected by a rare Mendelian syndrome. Overall, our results provide novel insights into the genetic architecture of inter-individual LTL variation in the general population.

%B Hum Mol Genet %V 21 %P 5385-94 %8 2012 Dec 15 %G eng %N 24 %1 http://www.ncbi.nlm.nih.gov/pubmed/23001564?dopt=Abstract %R 10.1093/hmg/dds382 %0 Journal Article %J Nat Genet %D 2012 %T Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. %A Scott, Robert A %A Lagou, Vasiliki %A Welch, Ryan P %A Wheeler, Eleanor %A Montasser, May E %A Luan, Jian'an %A Mägi, Reedik %A Strawbridge, Rona J %A Rehnberg, Emil %A Gustafsson, Stefan %A Kanoni, Stavroula %A Rasmussen-Torvik, Laura J %A Yengo, Loic %A Lecoeur, Cécile %A Shungin, Dmitry %A Sanna, Serena %A Sidore, Carlo %A Johnson, Paul C D %A Jukema, J Wouter %A Johnson, Toby %A Mahajan, Anubha %A Verweij, Niek %A Thorleifsson, Gudmar %A Hottenga, Jouke-Jan %A Shah, Sonia %A Smith, Albert V %A Sennblad, Bengt %A Gieger, Christian %A Salo, Perttu %A Perola, Markus %A Timpson, Nicholas J %A Evans, David M %A Pourcain, Beate St %A Wu, Ying %A Andrews, Jeanette S %A Hui, Jennie %A Bielak, Lawrence F %A Zhao, Wei %A Horikoshi, Momoko %A Navarro, Pau %A Isaacs, Aaron %A O'Connell, Jeffrey R %A Stirrups, Kathleen %A Vitart, Veronique %A Hayward, Caroline %A Esko, Tõnu %A Mihailov, Evelin %A Fraser, Ross M %A Fall, Tove %A Voight, Benjamin F %A Raychaudhuri, Soumya %A Chen, Han %A Lindgren, Cecilia M %A Morris, Andrew P %A Rayner, Nigel W %A Robertson, Neil %A Rybin, Denis %A Liu, Ching-Ti %A Beckmann, Jacques S %A Willems, Sara M %A Chines, Peter S %A Jackson, Anne U %A Kang, Hyun Min %A Stringham, Heather M %A Song, Kijoung %A Tanaka, Toshiko %A Peden, John F %A Goel, Anuj %A Hicks, Andrew A %A An, Ping %A Müller-Nurasyid, Martina %A Franco-Cereceda, Anders %A Folkersen, Lasse %A Marullo, Letizia %A Jansen, Hanneke %A Oldehinkel, Albertine J %A Bruinenberg, Marcel %A Pankow, James S %A North, Kari E %A Forouhi, Nita G %A Loos, Ruth J F %A Edkins, Sarah %A Varga, Tibor V %A Hallmans, Göran %A Oksa, Heikki %A Antonella, Mulas %A Nagaraja, Ramaiah %A Trompet, Stella %A Ford, Ian %A Bakker, Stephan J L %A Kong, Augustine %A Kumari, Meena %A Gigante, Bruna %A Herder, Christian %A Munroe, Patricia B %A Caulfield, Mark %A Antti, Jula %A Mangino, Massimo %A Small, Kerrin %A Miljkovic, Iva %A Liu, Yongmei %A Atalay, Mustafa %A Kiess, Wieland %A James, Alan L %A Rivadeneira, Fernando %A Uitterlinden, André G %A Palmer, Colin N A %A Doney, Alex S F %A Willemsen, Gonneke %A Smit, Johannes H %A Campbell, Susan %A Polasek, Ozren %A Bonnycastle, Lori L %A Hercberg, Serge %A Dimitriou, Maria %A Bolton, Jennifer L %A Fowkes, Gerard R %A Kovacs, Peter %A Lindström, Jaana %A Zemunik, Tatijana %A Bandinelli, Stefania %A Wild, Sarah H %A Basart, Hanneke V %A Rathmann, Wolfgang %A Grallert, Harald %A Maerz, Winfried %A Kleber, Marcus E %A Boehm, Bernhard O %A Peters, Annette %A Pramstaller, Peter P %A Province, Michael A %A Borecki, Ingrid B %A Hastie, Nicholas D %A Rudan, Igor %A Campbell, Harry %A Watkins, Hugh %A Farrall, Martin %A Stumvoll, Michael %A Ferrucci, Luigi %A Waterworth, Dawn M %A Bergman, Richard N %A Collins, Francis S %A Tuomilehto, Jaakko %A Watanabe, Richard M %A de Geus, Eco J C %A Penninx, Brenda W %A Hofman, Albert %A Oostra, Ben A %A Psaty, Bruce M %A Vollenweider, Peter %A Wilson, James F %A Wright, Alan F %A Hovingh, G Kees %A Metspalu, Andres %A Uusitupa, Matti %A Magnusson, Patrik K E %A Kyvik, Kirsten O %A Kaprio, Jaakko %A Price, Jackie F %A Dedoussis, George V %A Deloukas, Panos %A Meneton, Pierre %A Lind, Lars %A Boehnke, Michael %A Shuldiner, Alan R %A van Duijn, Cornelia M %A Morris, Andrew D %A Toenjes, Anke %A Peyser, Patricia A %A Beilby, John P %A Körner, Antje %A Kuusisto, Johanna %A Laakso, Markku %A Bornstein, Stefan R %A Schwarz, Peter E H %A Lakka, Timo A %A Rauramaa, Rainer %A Adair, Linda S %A Smith, George Davey %A Spector, Tim D %A Illig, Thomas %A de Faire, Ulf %A Hamsten, Anders %A Gudnason, Vilmundur %A Kivimaki, Mika %A Hingorani, Aroon %A Keinanen-Kiukaanniemi, Sirkka M %A Saaristo, Timo E %A Boomsma, Dorret I %A Stefansson, Kari %A van der Harst, Pim %A Dupuis, Josée %A Pedersen, Nancy L %A Sattar, Naveed %A Harris, Tamara B %A Cucca, Francesco %A Ripatti, Samuli %A Salomaa, Veikko %A Mohlke, Karen L %A Balkau, Beverley %A Froguel, Philippe %A Pouta, Anneli %A Jarvelin, Marjo-Riitta %A Wareham, Nicholas J %A Bouatia-Naji, Nabila %A McCarthy, Mark I %A Franks, Paul W %A Meigs, James B %A Teslovich, Tanya M %A Florez, Jose C %A Langenberg, Claudia %A Ingelsson, Erik %A Prokopenko, Inga %A Barroso, Inês %K Adult %K Animals %K Blood Glucose %K Fasting %K Female %K Gene Frequency %K Genome-Wide Association Study %K Humans %K Insulin %K Male %K Metabolic Networks and Pathways %K Mice %K Osmolar Concentration %K Quantitative Trait Loci %X

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.

%B Nat Genet %V 44 %P 991-1005 %8 2012 Sep %G eng %N 9 %1 http://www.ncbi.nlm.nih.gov/pubmed/22885924?dopt=Abstract %R 10.1038/ng.2385 %0 Journal Article %J PLoS Genet %D 2012 %T Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. %A Dastani, Zari %A Hivert, Marie-France %A Timpson, Nicholas %A Perry, John R B %A Yuan, Xin %A Scott, Robert A %A Henneman, Peter %A Heid, Iris M %A Kizer, Jorge R %A Lyytikäinen, Leo-Pekka %A Fuchsberger, Christian %A Tanaka, Toshiko %A Morris, Andrew P %A Small, Kerrin %A Isaacs, Aaron %A Beekman, Marian %A Coassin, Stefan %A Lohman, Kurt %A Qi, Lu %A Kanoni, Stavroula %A Pankow, James S %A Uh, Hae-Won %A Wu, Ying %A Bidulescu, Aurelian %A Rasmussen-Torvik, Laura J %A Greenwood, Celia M T %A Ladouceur, Martin %A Grimsby, Jonna %A Manning, Alisa K %A Liu, Ching-Ti %A Kooner, Jaspal %A Mooser, Vincent E %A Vollenweider, Peter %A Kapur, Karen A %A Chambers, John %A Wareham, Nicholas J %A Langenberg, Claudia %A Frants, Rune %A Willems-Vandijk, Ko %A Oostra, Ben A %A Willems, Sara M %A Lamina, Claudia %A Winkler, Thomas W %A Psaty, Bruce M %A Tracy, Russell P %A Brody, Jennifer %A Chen, Ida %A Viikari, Jorma %A Kähönen, Mika %A Pramstaller, Peter P %A Evans, David M %A St Pourcain, Beate %A Sattar, Naveed %A Wood, Andrew R %A Bandinelli, Stefania %A Carlson, Olga D %A Egan, Josephine M %A Böhringer, Stefan %A van Heemst, Diana %A Kedenko, Lyudmyla %A Kristiansson, Kati %A Nuotio, Marja-Liisa %A Loo, Britt-Marie %A Harris, Tamara %A Garcia, Melissa %A Kanaya, Alka %A Haun, Margot %A Klopp, Norman %A Wichmann, H-Erich %A Deloukas, Panos %A Katsareli, Efi %A Couper, David J %A Duncan, Bruce B %A Kloppenburg, Margreet %A Adair, Linda S %A Borja, Judith B %A Wilson, James G %A Musani, Solomon %A Guo, Xiuqing %A Johnson, Toby %A Semple, Robert %A Teslovich, Tanya M %A Allison, Matthew A %A Redline, Susan %A Buxbaum, Sarah G %A Mohlke, Karen L %A Meulenbelt, Ingrid %A Ballantyne, Christie M %A Dedoussis, George V %A Hu, Frank B %A Liu, Yongmei %A Paulweber, Bernhard %A Spector, Timothy D %A Slagboom, P Eline %A Ferrucci, Luigi %A Jula, Antti %A Perola, Markus %A Raitakari, Olli %A Florez, Jose C %A Salomaa, Veikko %A Eriksson, Johan G %A Frayling, Timothy M %A Hicks, Andrew A %A Lehtimäki, Terho %A Smith, George Davey %A Siscovick, David S %A Kronenberg, Florian %A van Duijn, Cornelia %A Loos, Ruth J F %A Waterworth, Dawn M %A Meigs, James B %A Dupuis, Josée %A Richards, J Brent %A Voight, Benjamin F %A Scott, Laura J %A Steinthorsdottir, Valgerdur %A Dina, Christian %A Welch, Ryan P %A Zeggini, Eleftheria %A Huth, Cornelia %A Aulchenko, Yurii S %A Thorleifsson, Gudmar %A McCulloch, Laura J %A Ferreira, Teresa %A Grallert, Harald %A Amin, Najaf %A Wu, Guanming %A Willer, Cristen J %A Raychaudhuri, Soumya %A McCarroll, Steve A %A Hofmann, Oliver M %A Segrè, Ayellet V %A van Hoek, Mandy %A Navarro, Pau %A Ardlie, Kristin %A Balkau, Beverley %A Benediktsson, Rafn %A Bennett, Amanda J %A Blagieva, Roza %A Boerwinkle, Eric %A Bonnycastle, Lori L %A Boström, Kristina Bengtsson %A Bravenboer, Bert %A Bumpstead, Suzannah %A Burtt, Noel P %A Charpentier, Guillaume %A Chines, Peter S %A Cornelis, Marilyn %A Crawford, Gabe %A Doney, Alex S F %A Elliott, Katherine S %A Elliott, Amanda L %A Erdos, Michael R %A Fox, Caroline S %A Franklin, Christopher S %A Ganser, Martha %A Gieger, Christian %A Grarup, Niels %A Green, Todd %A Griffin, Simon %A Groves, Christopher J %A Guiducci, Candace %A Hadjadj, Samy %A Hassanali, Neelam %A Herder, Christian %A Isomaa, Bo %A Jackson, Anne U %A Johnson, Paul R V %A Jørgensen, Torben %A Kao, Wen H L %A Kong, Augustine %A Kraft, Peter %A Kuusisto, Johanna %A Lauritzen, Torsten %A Li, Man %A Lieverse, Aloysius %A Lindgren, Cecilia M %A Lyssenko, Valeriya %A Marre, Michel %A Meitinger, Thomas %A Midthjell, Kristian %A Morken, Mario A %A Narisu, Narisu %A Nilsson, Peter %A Owen, Katharine R %A Payne, Felicity %A Petersen, Ann-Kristin %A Platou, Carl %A Proença, Christine %A Prokopenko, Inga %A Rathmann, Wolfgang %A Rayner, N William %A Robertson, Neil R %A Rocheleau, Ghislain %A Roden, Michael %A Sampson, Michael J %A Saxena, Richa %A Shields, Beverley M %A Shrader, Peter %A Sigurdsson, Gunnar %A Sparsø, Thomas %A Strassburger, Klaus %A Stringham, Heather M %A Sun, Qi %A Swift, Amy J %A Thorand, Barbara %A Tichet, Jean %A Tuomi, Tiinamaija %A van Dam, Rob M %A van Haeften, Timon W %A van Herpt, Thijs %A van Vliet-Ostaptchouk, Jana V %A Walters, G Bragi %A Weedon, Michael N %A Wijmenga, Cisca %A Witteman, Jacqueline %A Bergman, Richard N %A Cauchi, Stephane %A Collins, Francis S %A Gloyn, Anna L %A Gyllensten, Ulf %A Hansen, Torben %A Hide, Winston A %A Hitman, Graham A %A Hofman, Albert %A Hunter, David J %A Hveem, Kristian %A Laakso, Markku %A Morris, Andrew D %A Palmer, Colin N A %A Rudan, Igor %A Sijbrands, Eric %A Stein, Lincoln D %A Tuomilehto, Jaakko %A Uitterlinden, Andre %A Walker, Mark %A Watanabe, Richard M %A Abecasis, Goncalo R %A Boehm, Bernhard O %A Campbell, Harry %A Daly, Mark J %A Hattersley, Andrew T %A Pedersen, Oluf %A Barroso, Inês %A Groop, Leif %A Sladek, Rob %A Thorsteinsdottir, Unnur %A Wilson, James F %A Illig, Thomas %A Froguel, Philippe %A van Duijn, Cornelia M %A Stefansson, Kari %A Altshuler, David %A Boehnke, Michael %A McCarthy, Mark I %A Soranzo, Nicole %A Wheeler, Eleanor %A Glazer, Nicole L %A Bouatia-Naji, Nabila %A Mägi, Reedik %A Randall, Joshua %A Elliott, Paul %A Rybin, Denis %A Dehghan, Abbas %A Hottenga, Jouke Jan %A Song, Kijoung %A Goel, Anuj %A Lajunen, Taina %A Doney, Alex %A Cavalcanti-Proença, Christine %A Kumari, Meena %A Timpson, Nicholas J %A Zabena, Carina %A Ingelsson, Erik %A An, Ping %A O'Connell, Jeffrey %A Luan, Jian'an %A Elliott, Amanda %A McCarroll, Steven A %A Roccasecca, Rosa Maria %A Pattou, François %A Sethupathy, Praveen %A Ariyurek, Yavuz %A Barter, Philip %A Beilby, John P %A Ben-Shlomo, Yoav %A Bergmann, Sven %A Bochud, Murielle %A Bonnefond, Amélie %A Borch-Johnsen, Knut %A Böttcher, Yvonne %A Brunner, Eric %A Bumpstead, Suzannah J %A Chen, Yii-Der Ida %A Chines, Peter %A Clarke, Robert %A Coin, Lachlan J M %A Cooper, Matthew N %A Crisponi, Laura %A Day, Ian N M %A de Geus, Eco J C %A Delplanque, Jerome %A Fedson, Annette C %A Fischer-Rosinsky, Antje %A Forouhi, Nita G %A Franzosi, Maria Grazia %A Galan, Pilar %A Goodarzi, Mark O %A Graessler, Jürgen %A Grundy, Scott %A Gwilliam, Rhian %A Hallmans, Göran %A Hammond, Naomi %A Han, Xijing %A Hartikainen, Anna-Liisa %A Hayward, Caroline %A Heath, Simon C %A Hercberg, Serge %A Hillman, David R %A Hingorani, Aroon D %A Hui, Jennie %A Hung, Joe %A Kaakinen, Marika %A Kaprio, Jaakko %A Kesaniemi, Y Antero %A Kivimaki, Mika %A Knight, Beatrice %A Koskinen, Seppo %A Kovacs, Peter %A Kyvik, Kirsten Ohm %A Lathrop, G Mark %A Lawlor, Debbie A %A Le Bacquer, Olivier %A Lecoeur, Cécile %A Li, Yun %A Mahley, Robert %A Mangino, Massimo %A Martínez-Larrad, María Teresa %A McAteer, Jarred B %A McPherson, Ruth %A Meisinger, Christa %A Melzer, David %A Meyre, David %A Mitchell, Braxton D %A Mukherjee, Sutapa %A Naitza, Silvia %A Neville, Matthew J %A Orrù, Marco %A Pakyz, Ruth %A Paolisso, Giuseppe %A Pattaro, Cristian %A Pearson, Daniel %A Peden, John F %A Pedersen, Nancy L %A Pfeiffer, Andreas F H %A Pichler, Irene %A Polasek, Ozren %A Posthuma, Danielle %A Potter, Simon C %A Pouta, Anneli %A Province, Michael A %A Rayner, Nigel W %A Rice, Kenneth %A Ripatti, Samuli %A Rivadeneira, Fernando %A Rolandsson, Olov %A Sandbaek, Annelli %A Sandhu, Manjinder %A Sanna, Serena %A Sayer, Avan Aihie %A Scheet, Paul %A Seedorf, Udo %A Sharp, Stephen J %A Shields, Beverley %A Sigurðsson, Gunnar %A Sijbrands, Eric J G %A Silveira, Angela %A Simpson, Laila %A Singleton, Andrew %A Smith, Nicholas L %A Sovio, Ulla %A Swift, Amy %A Syddall, Holly %A Syvänen, Ann-Christine %A Tönjes, Anke %A Uitterlinden, André G %A van Dijk, Ko Willems %A Varma, Dhiraj %A Visvikis-Siest, Sophie %A Vitart, Veronique %A Vogelzangs, Nicole %A Waeber, Gérard %A Wagner, Peter J %A Walley, Andrew %A Ward, Kim L %A Watkins, Hugh %A Wild, Sarah H %A Willemsen, Gonneke %A Witteman, Jaqueline C M %A Yarnell, John W G %A Zelenika, Diana %A Zethelius, Björn %A Zhai, Guangju %A Zhao, Jing Hua %A Zillikens, M Carola %A Borecki, Ingrid B %A Meneton, Pierre %A Magnusson, Patrik K E %A Nathan, David M %A Williams, Gordon H %A Silander, Kaisa %A Bornstein, Stefan R %A Schwarz, Peter %A Spranger, Joachim %A Karpe, Fredrik %A Shuldiner, Alan R %A Cooper, Cyrus %A Serrano-Ríos, Manuel %A Lind, Lars %A Palmer, Lyle J %A Hu, Frank B %A Franks, Paul W %A Ebrahim, Shah %A Marmot, Michael %A Kao, W H Linda %A Pramstaller, Peter Paul %A Wright, Alan F %A Stumvoll, Michael %A Hamsten, Anders %A Buchanan, Thomas A %A Valle, Timo T %A Rotter, Jerome I %A Penninx, Brenda W J H %A Boomsma, Dorret I %A Cao, Antonio %A Scuteri, Angelo %A Schlessinger, David %A Uda, Manuela %A Ruokonen, Aimo %A Jarvelin, Marjo-Riitta %A Peltonen, Leena %A Mooser, Vincent %A Sladek, Robert %A Musunuru, Kiran %A Smith, Albert V %A Edmondson, Andrew C %A Stylianou, Ioannis M %A Koseki, Masahiro %A Pirruccello, James P %A Chasman, Daniel I %A Johansen, Christopher T %A Fouchier, Sigrid W %A Peloso, Gina M %A Barbalic, Maja %A Ricketts, Sally L %A Bis, Joshua C %A Feitosa, Mary F %A Orho-Melander, Marju %A Melander, Olle %A Li, Xiaohui %A Li, Mingyao %A Cho, Yoon Shin %A Go, Min Jin %A Kim, Young Jin %A Lee, Jong-Young %A Park, Taesung %A Kim, Kyunga %A Sim, Xueling %A Ong, Rick Twee-Hee %A Croteau-Chonka, Damien C %A Lange, Leslie A %A Smith, Joshua D %A Ziegler, Andreas %A Zhang, Weihua %A Zee, Robert Y L %A Whitfield, John B %A Thompson, John R %A Surakka, Ida %A Spector, Tim D %A Smit, Johannes H %A Sinisalo, Juha %A Scott, James %A Saharinen, Juha %A Sabatti, Chiara %A Rose, Lynda M %A Roberts, Robert %A Rieder, Mark %A Parker, Alex N %A Paré, Guillaume %A O'Donnell, Christopher J %A Nieminen, Markku S %A Nickerson, Deborah A %A Montgomery, Grant W %A McArdle, Wendy %A Masson, David %A Martin, Nicholas G %A Marroni, Fabio %A Lucas, Gavin %A Luben, Robert %A Lokki, Marja-Liisa %A Lettre, Guillaume %A Launer, Lenore J %A Lakatta, Edward G %A Laaksonen, Reijo %A Kyvik, Kirsten O %A König, Inke R %A Khaw, Kay-Tee %A Kaplan, Lee M %A Johansson, Asa %A Janssens, A Cecile J W %A Igl, Wilmar %A Hovingh, G Kees %A Hengstenberg, Christian %A Havulinna, Aki S %A Hastie, Nicholas D %A Harris, Tamara B %A Haritunians, Talin %A Hall, Alistair S %A Groop, Leif C %A Gonzalez, Elena %A Freimer, Nelson B %A Erdmann, Jeanette %A Ejebe, Kenechi G %A Döring, Angela %A Dominiczak, Anna F %A Demissie, Serkalem %A Deloukas, Panagiotis %A de Faire, Ulf %A Crawford, Gabriel %A Chen, Yii-der I %A Caulfield, Mark J %A Boekholdt, S Matthijs %A Assimes, Themistocles L %A Quertermous, Thomas %A Seielstad, Mark %A Wong, Tien Y %A Tai, E-Shyong %A Feranil, Alan B %A Kuzawa, Christopher W %A Taylor, Herman A %A Gabriel, Stacey B %A Holm, Hilma %A Gudnason, Vilmundur %A Krauss, Ronald M %A Ordovas, Jose M %A Munroe, Patricia B %A Kooner, Jaspal S %A Tall, Alan R %A Hegele, Robert A %A Kastelein, John J P %A Schadt, Eric E %A Strachan, David P %A Reilly, Muredach P %A Samani, Nilesh J %A Schunkert, Heribert %A Cupples, L Adrienne %A Sandhu, Manjinder S %A Ridker, Paul M %A Rader, Daniel J %A Kathiresan, Sekar %K Adiponectin %K African Americans %K Asian Continental Ancestry Group %K Cholesterol, HDL %K Diabetes Mellitus, Type 2 %K European Continental Ancestry Group %K Female %K Gene Expression %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Glucose Tolerance Test %K Humans %K Insulin Resistance %K Male %K Metabolic Networks and Pathways %K Polymorphism, Single Nucleotide %K Waist-Hip Ratio %X

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<3×10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10(-3), n = 22,044), increased triglycerides (p = 2.6×10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8×10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10(-13), n = 96,748) and decreased BMI (p = 1.4×10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.

%B PLoS Genet %V 8 %P e1002607 %8 2012 %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/22479202?dopt=Abstract %R 10.1371/journal.pgen.1002607 %0 Journal Article %J Nat Genet %D 2013 %T Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. %A Berndt, Sonja I %A Gustafsson, Stefan %A Mägi, Reedik %A Ganna, Andrea %A Wheeler, Eleanor %A Feitosa, Mary F %A Justice, Anne E %A Monda, Keri L %A Croteau-Chonka, Damien C %A Day, Felix R %A Esko, Tõnu %A Fall, Tove %A Ferreira, Teresa %A Gentilini, Davide %A Jackson, Anne U %A Luan, Jian'an %A Randall, Joshua C %A Vedantam, Sailaja %A Willer, Cristen J %A Winkler, Thomas W %A Wood, Andrew R %A Workalemahu, Tsegaselassie %A Hu, Yi-Juan %A Lee, Sang Hong %A Liang, Liming %A Lin, Dan-Yu %A Min, Josine L %A Neale, Benjamin M %A Thorleifsson, Gudmar %A Yang, Jian %A Albrecht, Eva %A Amin, Najaf %A Bragg-Gresham, Jennifer L %A Cadby, Gemma %A den Heijer, Martin %A Eklund, Niina %A Fischer, Krista %A Goel, Anuj %A Hottenga, Jouke-Jan %A Huffman, Jennifer E %A Jarick, Ivonne %A Johansson, Asa %A Johnson, Toby %A Kanoni, Stavroula %A Kleber, Marcus E %A König, Inke R %A Kristiansson, Kati %A Kutalik, Zoltán %A Lamina, Claudia %A Lecoeur, Cécile %A Li, Guo %A Mangino, Massimo %A McArdle, Wendy L %A Medina-Gómez, Carolina %A Müller-Nurasyid, Martina %A Ngwa, Julius S %A Nolte, Ilja M %A Paternoster, Lavinia %A Pechlivanis, Sonali %A Perola, Markus %A Peters, Marjolein J %A Preuss, Michael %A Rose, Lynda M %A Shi, Jianxin %A Shungin, Dmitry %A Smith, Albert Vernon %A Strawbridge, Rona J %A Surakka, Ida %A Teumer, Alexander %A Trip, Mieke D %A Tyrer, Jonathan %A van Vliet-Ostaptchouk, Jana V %A Vandenput, Liesbeth %A Waite, Lindsay L %A Zhao, Jing Hua %A Absher, Devin %A Asselbergs, Folkert W %A Atalay, Mustafa %A Attwood, Antony P %A Balmforth, Anthony J %A Basart, Hanneke %A Beilby, John %A Bonnycastle, Lori L %A Brambilla, Paolo %A Bruinenberg, Marcel %A Campbell, Harry %A Chasman, Daniel I %A Chines, Peter S %A Collins, Francis S %A Connell, John M %A Cookson, William O %A de Faire, Ulf %A de Vegt, Femmie %A Dei, Mariano %A Dimitriou, Maria %A Edkins, Sarah %A Estrada, Karol %A Evans, David M %A Farrall, Martin %A Ferrario, Marco M %A Ferrieres, Jean %A Franke, Lude %A Frau, Francesca %A Gejman, Pablo V %A Grallert, Harald %A Grönberg, Henrik %A Gudnason, Vilmundur %A Hall, Alistair S %A Hall, Per %A Hartikainen, Anna-Liisa %A Hayward, Caroline %A Heard-Costa, Nancy L %A Heath, Andrew C %A Hebebrand, Johannes %A Homuth, Georg %A Hu, Frank B %A Hunt, Sarah E %A Hyppönen, Elina %A Iribarren, Carlos %A Jacobs, Kevin B %A Jansson, John-Olov %A Jula, Antti %A Kähönen, Mika %A Kathiresan, Sekar %A Kee, Frank %A Khaw, Kay-Tee %A Kivimaki, Mika %A Koenig, Wolfgang %A Kraja, Aldi T %A Kumari, Meena %A Kuulasmaa, Kari %A Kuusisto, Johanna %A Laitinen, Jaana H %A Lakka, Timo A %A Langenberg, Claudia %A Launer, Lenore J %A Lind, Lars %A Lindström, Jaana %A Liu, Jianjun %A Liuzzi, Antonio %A Lokki, Marja-Liisa %A Lorentzon, Mattias %A Madden, Pamela A %A Magnusson, Patrik K %A Manunta, Paolo %A Marek, Diana %A März, Winfried %A Mateo Leach, Irene %A McKnight, Barbara %A Medland, Sarah E %A Mihailov, Evelin %A Milani, Lili %A Montgomery, Grant W %A Mooser, Vincent %A Mühleisen, Thomas W %A Munroe, Patricia B %A Musk, Arthur W %A Narisu, Narisu %A Navis, Gerjan %A Nicholson, George %A Nohr, Ellen A %A Ong, Ken K %A Oostra, Ben A %A Palmer, Colin N A %A Palotie, Aarno %A Peden, John F %A Pedersen, Nancy %A Peters, Annette %A Polasek, Ozren %A Pouta, Anneli %A Pramstaller, Peter P %A Prokopenko, Inga %A Pütter, Carolin %A Radhakrishnan, Aparna %A Raitakari, Olli %A Rendon, Augusto %A Rivadeneira, Fernando %A Rudan, Igor %A Saaristo, Timo E %A Sambrook, Jennifer G %A Sanders, Alan R %A Sanna, Serena %A Saramies, Jouko %A Schipf, Sabine %A Schreiber, Stefan %A Schunkert, Heribert %A Shin, So-Youn %A Signorini, Stefano %A Sinisalo, Juha %A Skrobek, Boris %A Soranzo, Nicole %A Stančáková, Alena %A Stark, Klaus %A Stephens, Jonathan C %A Stirrups, Kathleen %A Stolk, Ronald P %A Stumvoll, Michael %A Swift, Amy J %A Theodoraki, Eirini V %A Thorand, Barbara %A Trégouët, David-Alexandre %A Tremoli, Elena %A van der Klauw, Melanie M %A van Meurs, Joyce B J %A Vermeulen, Sita H %A Viikari, Jorma %A Virtamo, Jarmo %A Vitart, Veronique %A Waeber, Gérard %A Wang, Zhaoming %A Widen, Elisabeth %A Wild, Sarah H %A Willemsen, Gonneke %A Winkelmann, Bernhard R %A Witteman, Jacqueline C M %A Wolffenbuttel, Bruce H R %A Wong, Andrew %A Wright, Alan F %A Zillikens, M Carola %A Amouyel, Philippe %A Boehm, Bernhard O %A Boerwinkle, Eric %A Boomsma, Dorret I %A Caulfield, Mark J %A Chanock, Stephen J %A Cupples, L Adrienne %A Cusi, Daniele %A Dedoussis, George V %A Erdmann, Jeanette %A Eriksson, Johan G %A Franks, Paul W %A Froguel, Philippe %A Gieger, Christian %A Gyllensten, Ulf %A Hamsten, Anders %A Harris, Tamara B %A Hengstenberg, Christian %A Hicks, Andrew A %A Hingorani, Aroon %A Hinney, Anke %A Hofman, Albert %A Hovingh, Kees G %A Hveem, Kristian %A Illig, Thomas %A Jarvelin, Marjo-Riitta %A Jöckel, Karl-Heinz %A Keinanen-Kiukaanniemi, Sirkka M %A Kiemeney, Lambertus A %A Kuh, Diana %A Laakso, Markku %A Lehtimäki, Terho %A Levinson, Douglas F %A Martin, Nicholas G %A Metspalu, Andres %A Morris, Andrew D %A Nieminen, Markku S %A Njølstad, Inger %A Ohlsson, Claes %A Oldehinkel, Albertine J %A Ouwehand, Willem H %A Palmer, Lyle J %A Penninx, Brenda %A Power, Chris %A Province, Michael A %A Psaty, Bruce M %A Qi, Lu %A Rauramaa, Rainer %A Ridker, Paul M %A Ripatti, Samuli %A Salomaa, Veikko %A Samani, Nilesh J %A Snieder, Harold %A Sørensen, Thorkild I A %A Spector, Timothy D %A Stefansson, Kari %A Tönjes, Anke %A Tuomilehto, Jaakko %A Uitterlinden, André G %A Uusitupa, Matti %A van der Harst, Pim %A Vollenweider, Peter %A Wallaschofski, Henri %A Wareham, Nicholas J %A Watkins, Hugh %A Wichmann, H-Erich %A Wilson, James F %A Abecasis, Goncalo R %A Assimes, Themistocles L %A Barroso, Inês %A Boehnke, Michael %A Borecki, Ingrid B %A Deloukas, Panos %A Fox, Caroline S %A Frayling, Timothy %A Groop, Leif C %A Haritunian, Talin %A Heid, Iris M %A Hunter, David %A Kaplan, Robert C %A Karpe, Fredrik %A Moffatt, Miriam F %A Mohlke, Karen L %A O'Connell, Jeffrey R %A Pawitan, Yudi %A Schadt, Eric E %A Schlessinger, David %A Steinthorsdottir, Valgerdur %A Strachan, David P %A Thorsteinsdottir, Unnur %A van Duijn, Cornelia M %A Visscher, Peter M %A Di Blasio, Anna Maria %A Hirschhorn, Joel N %A Lindgren, Cecilia M %A Morris, Andrew P %A Meyre, David %A Scherag, Andre %A McCarthy, Mark I %A Speliotes, Elizabeth K %A North, Kari E %A Loos, Ruth J F %A Ingelsson, Erik %K Anthropometry %K Body Height %K Body Mass Index %K Case-Control Studies %K European Continental Ancestry Group %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Meta-Analysis as Topic %K Obesity %K Phenotype %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Waist-Hip Ratio %X

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.

%B Nat Genet %V 45 %P 501-12 %8 2013 May %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/23563607?dopt=Abstract %R 10.1038/ng.2606 %0 Journal Article %J PLoS Genet %D 2013 %T Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. %A Randall, Joshua C %A Winkler, Thomas W %A Kutalik, Zoltán %A Berndt, Sonja I %A Jackson, Anne U %A Monda, Keri L %A Kilpeläinen, Tuomas O %A Esko, Tõnu %A Mägi, Reedik %A Li, Shengxu %A Workalemahu, Tsegaselassie %A Feitosa, Mary F %A Croteau-Chonka, Damien C %A Day, Felix R %A Fall, Tove %A Ferreira, Teresa %A Gustafsson, Stefan %A Locke, Adam E %A Mathieson, Iain %A Scherag, Andre %A Vedantam, Sailaja %A Wood, Andrew R %A Liang, Liming %A Steinthorsdottir, Valgerdur %A Thorleifsson, Gudmar %A Dermitzakis, Emmanouil T %A Dimas, Antigone S %A Karpe, Fredrik %A Min, Josine L %A Nicholson, George %A Clegg, Deborah J %A Person, Thomas %A Krohn, Jon P %A Bauer, Sabrina %A Buechler, Christa %A Eisinger, Kristina %A Bonnefond, Amélie %A Froguel, Philippe %A Hottenga, Jouke-Jan %A Prokopenko, Inga %A Waite, Lindsay L %A Harris, Tamara B %A Smith, Albert Vernon %A Shuldiner, Alan R %A McArdle, Wendy L %A Caulfield, Mark J %A Munroe, Patricia B %A Grönberg, Henrik %A Chen, Yii-Der Ida %A Li, Guo %A Beckmann, Jacques S %A Johnson, Toby %A Thorsteinsdottir, Unnur %A Teder-Laving, Maris %A Khaw, Kay-Tee %A Wareham, Nicholas J %A Zhao, Jing Hua %A Amin, Najaf %A Oostra, Ben A %A Kraja, Aldi T %A Province, Michael A %A Cupples, L Adrienne %A Heard-Costa, Nancy L %A Kaprio, Jaakko %A Ripatti, Samuli %A Surakka, Ida %A Collins, Francis S %A Saramies, Jouko %A Tuomilehto, Jaakko %A Jula, Antti %A Salomaa, Veikko %A Erdmann, Jeanette %A Hengstenberg, Christian %A Loley, Christina %A Schunkert, Heribert %A Lamina, Claudia %A Wichmann, H Erich %A Albrecht, Eva %A Gieger, Christian %A Hicks, Andrew A %A Johansson, Asa %A Pramstaller, Peter P %A Kathiresan, Sekar %A Speliotes, Elizabeth K %A Penninx, Brenda %A Hartikainen, Anna-Liisa %A Jarvelin, Marjo-Riitta %A Gyllensten, Ulf %A Boomsma, Dorret I %A Campbell, Harry %A Wilson, James F %A Chanock, Stephen J %A Farrall, Martin %A Goel, Anuj %A Medina-Gómez, Carolina %A Rivadeneira, Fernando %A Estrada, Karol %A Uitterlinden, André G %A Hofman, Albert %A Zillikens, M Carola %A den Heijer, Martin %A Kiemeney, Lambertus A %A Maschio, Andrea %A Hall, Per %A Tyrer, Jonathan %A Teumer, Alexander %A Völzke, Henry %A Kovacs, Peter %A Tönjes, Anke %A Mangino, Massimo %A Spector, Tim D %A Hayward, Caroline %A Rudan, Igor %A Hall, Alistair S %A Samani, Nilesh J %A Attwood, Antony Paul %A Sambrook, Jennifer G %A Hung, Joseph %A Palmer, Lyle J %A Lokki, Marja-Liisa %A Sinisalo, Juha %A Boucher, Gabrielle %A Huikuri, Heikki %A Lorentzon, Mattias %A Ohlsson, Claes %A Eklund, Niina %A Eriksson, Johan G %A Barlassina, Cristina %A Rivolta, Carlo %A Nolte, Ilja M %A Snieder, Harold %A van der Klauw, Melanie M %A van Vliet-Ostaptchouk, Jana V %A Gejman, Pablo V %A Shi, Jianxin %A Jacobs, Kevin B %A Wang, Zhaoming %A Bakker, Stephan J L %A Mateo Leach, Irene %A Navis, Gerjan %A van der Harst, Pim %A Martin, Nicholas G %A Medland, Sarah E %A Montgomery, Grant W %A Yang, Jian %A Chasman, Daniel I %A Ridker, Paul M %A Rose, Lynda M %A Lehtimäki, Terho %A Raitakari, Olli %A Absher, Devin %A Iribarren, Carlos %A Basart, Hanneke %A Hovingh, Kees G %A Hyppönen, Elina %A Power, Chris %A Anderson, Denise %A Beilby, John P %A Hui, Jennie %A Jolley, Jennifer %A Sager, Hendrik %A Bornstein, Stefan R %A Schwarz, Peter E H %A Kristiansson, Kati %A Perola, Markus %A Lindström, Jaana %A Swift, Amy J %A Uusitupa, Matti %A Atalay, Mustafa %A Lakka, Timo A %A Rauramaa, Rainer %A Bolton, Jennifer L %A Fowkes, Gerry %A Fraser, Ross M %A Price, Jackie F %A Fischer, Krista %A Krjutå Kov, Kaarel %A Metspalu, Andres %A Mihailov, Evelin %A Langenberg, Claudia %A Luan, Jian'an %A Ong, Ken K %A Chines, Peter S %A Keinanen-Kiukaanniemi, Sirkka M %A Saaristo, Timo E %A Edkins, Sarah %A Franks, Paul W %A Hallmans, Göran %A Shungin, Dmitry %A Morris, Andrew David %A Palmer, Colin N A %A Erbel, Raimund %A Moebus, Susanne %A Nöthen, Markus M %A Pechlivanis, Sonali %A Hveem, Kristian %A Narisu, Narisu %A Hamsten, Anders %A Humphries, Steve E %A Strawbridge, Rona J %A Tremoli, Elena %A Grallert, Harald %A Thorand, Barbara %A Illig, Thomas %A Koenig, Wolfgang %A Müller-Nurasyid, Martina %A Peters, Annette %A Boehm, Bernhard O %A Kleber, Marcus E %A März, Winfried %A Winkelmann, Bernhard R %A Kuusisto, Johanna %A Laakso, Markku %A Arveiler, Dominique %A Cesana, Giancarlo %A Kuulasmaa, Kari %A Virtamo, Jarmo %A Yarnell, John W G %A Kuh, Diana %A Wong, Andrew %A Lind, Lars %A de Faire, Ulf %A Gigante, Bruna %A Magnusson, Patrik K E %A Pedersen, Nancy L %A Dedoussis, George %A Dimitriou, Maria %A Kolovou, Genovefa %A Kanoni, Stavroula %A Stirrups, Kathleen %A Bonnycastle, Lori L %A Njølstad, Inger %A Wilsgaard, Tom %A Ganna, Andrea %A Rehnberg, Emil %A Hingorani, Aroon %A Kivimaki, Mika %A Kumari, Meena %A Assimes, Themistocles L %A Barroso, Inês %A Boehnke, Michael %A Borecki, Ingrid B %A Deloukas, Panos %A Fox, Caroline S %A Frayling, Timothy %A Groop, Leif C %A Haritunians, Talin %A Hunter, David %A Ingelsson, Erik %A Kaplan, Robert %A Mohlke, Karen L %A O'Connell, Jeffrey R %A Schlessinger, David %A Strachan, David P %A Stefansson, Kari %A van Duijn, Cornelia M %A Abecasis, Goncalo R %A McCarthy, Mark I %A Hirschhorn, Joel N %A Qi, Lu %A Loos, Ruth J F %A Lindgren, Cecilia M %A North, Kari E %A Heid, Iris M %K Anthropometry %K Body Height %K Body Mass Index %K Body Weight %K Body Weights and Measures %K Female %K Genetic Loci %K Genome, Human %K Genome-Wide Association Study %K Humans %K Male %K Polymorphism, Single Nucleotide %K Sex Characteristics %K Waist Circumference %K Waist-Hip Ratio %X

Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR<5%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P<5×10(-8)), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.

%B PLoS Genet %V 9 %P e1003500 %8 2013 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/23754948?dopt=Abstract %R 10.1371/journal.pgen.1003500 %0 Journal Article %J PLoS Genet %D 2014 %T Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. %A Ng, Maggie C Y %A Shriner, Daniel %A Chen, Brian H %A Li, Jiang %A Chen, Wei-Min %A Guo, Xiuqing %A Liu, Jiankang %A Bielinski, Suzette J %A Yanek, Lisa R %A Nalls, Michael A %A Comeau, Mary E %A Rasmussen-Torvik, Laura J %A Jensen, Richard A %A Evans, Daniel S %A Sun, Yan V %A An, Ping %A Patel, Sanjay R %A Lu, Yingchang %A Long, Jirong %A Armstrong, Loren L %A Wagenknecht, Lynne %A Yang, Lingyao %A Snively, Beverly M %A Palmer, Nicholette D %A Mudgal, Poorva %A Langefeld, Carl D %A Keene, Keith L %A Freedman, Barry I %A Mychaleckyj, Josyf C %A Nayak, Uma %A Raffel, Leslie J %A Goodarzi, Mark O %A Chen, Y-D Ida %A Taylor, Herman A %A Correa, Adolfo %A Sims, Mario %A Couper, David %A Pankow, James S %A Boerwinkle, Eric %A Adeyemo, Adebowale %A Doumatey, Ayo %A Chen, Guanjie %A Mathias, Rasika A %A Vaidya, Dhananjay %A Singleton, Andrew B %A Zonderman, Alan B %A Igo, Robert P %A Sedor, John R %A Kabagambe, Edmond K %A Siscovick, David S %A McKnight, Barbara %A Rice, Kenneth %A Liu, Yongmei %A Hsueh, Wen-Chi %A Zhao, Wei %A Bielak, Lawrence F %A Kraja, Aldi %A Province, Michael A %A Bottinger, Erwin P %A Gottesman, Omri %A Cai, Qiuyin %A Zheng, Wei %A Blot, William J %A Lowe, William L %A Pacheco, Jennifer A %A Crawford, Dana C %A Grundberg, Elin %A Rich, Stephen S %A Hayes, M Geoffrey %A Shu, Xiao-Ou %A Loos, Ruth J F %A Borecki, Ingrid B %A Peyser, Patricia A %A Cummings, Steven R %A Psaty, Bruce M %A Fornage, Myriam %A Iyengar, Sudha K %A Evans, Michele K %A Becker, Diane M %A Kao, W H Linda %A Wilson, James G %A Rotter, Jerome I %A Sale, Michèle M %A Liu, Simin %A Rotimi, Charles N %A Bowden, Donald W %K African Americans %K Diabetes Mellitus, Type 2 %K Genome-Wide Association Study %K HLA-B27 Antigen %K HMGA2 Protein %K Humans %K KCNQ1 Potassium Channel %K Mutant Chimeric Proteins %K Polymorphism, Single Nucleotide %K Transcription Factor 7-Like 2 Protein %X

Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94) %B PLoS Genet %V 10 %P e1004517 %8 2014 Aug %G eng %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/25102180?dopt=Abstract %R 10.1371/journal.pgen.1004517 %0 Journal Article %J Am J Clin Nutr %D 2015 %T Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. %A Fretts, Amanda M %A Follis, Jack L %A Nettleton, Jennifer A %A Lemaitre, Rozenn N %A Ngwa, Julius S %A Wojczynski, Mary K %A Kalafati, Ioanna Panagiota %A Varga, Tibor V %A Frazier-Wood, Alexis C %A Houston, Denise K %A Lahti, Jari %A Ericson, Ulrika %A van den Hooven, Edith H %A Mikkilä, Vera %A Kiefte-de Jong, Jessica C %A Mozaffarian, Dariush %A Rice, Kenneth %A Renstrom, Frida %A North, Kari E %A McKeown, Nicola M %A Feitosa, Mary F %A Kanoni, Stavroula %A Smith, Caren E %A Garcia, Melissa E %A Tiainen, Anna-Maija %A Sonestedt, Emily %A Manichaikul, Ani %A van Rooij, Frank J A %A Dimitriou, Maria %A Raitakari, Olli %A Pankow, James S %A Djoussé, Luc %A Province, Michael A %A Hu, Frank B %A Lai, Chao-Qiang %A Keller, Margaux F %A Perälä, Mia-Maria %A Rotter, Jerome I %A Hofman, Albert %A Graff, Misa %A Kähönen, Mika %A Mukamal, Kenneth %A Johansson, Ingegerd %A Ordovas, Jose M %A Liu, Yongmei %A Männistö, Satu %A Uitterlinden, André G %A Deloukas, Panos %A Seppälä, Ilkka %A Psaty, Bruce M %A Cupples, L Adrienne %A Borecki, Ingrid B %A Franks, Paul W %A Arnett, Donna K %A Nalls, Mike A %A Eriksson, Johan G %A Orho-Melander, Marju %A Franco, Oscar H %A Lehtimäki, Terho %A Dedoussis, George V %A Meigs, James B %A Siscovick, David S %K Blood Glucose %K Cohort Studies %K Genetic Association Studies %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Hyperglycemia %K Hyperinsulinism %K Insulin %K Insulin Resistance %K Insulin-Secreting Cells %K Meat %K Meat Products %K Middle Aged %K Polymorphism, Single Nucleotide %K Risk Factors %X

BACKGROUND: Recent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown.

OBJECTIVE: We investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus.

DESIGN: Fourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations.

RESULTS: Processed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci known to influence fasting glucose or insulin resistance.

CONCLUSION: The association of higher fasting glucose and insulin concentrations with meat consumption was not modified by an index of glucose- and insulin-related single-nucleotide polymorphisms. Six of the participating studies are registered at clinicaltrials.gov as NCT0000513 (Atherosclerosis Risk in Communities), NCT00149435 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetics of Lipid Lowering Drugs and Diet Network), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

%B Am J Clin Nutr %V 102 %P 1266-78 %8 2015 Nov %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/26354543?dopt=Abstract %R 10.3945/ajcn.114.101238 %0 Journal Article %J J Gerontol A Biol Sci Med Sci %D 2015 %T Genome-Wide Association Study and Linkage Analysis of the Healthy Aging Index. %A Minster, Ryan L %A Sanders, Jason L %A Singh, Jatinder %A Kammerer, Candace M %A Barmada, M Michael %A Matteini, Amy M %A Zhang, Qunyuan %A Wojczynski, Mary K %A Daw, E Warwick %A Brody, Jennifer A %A Arnold, Alice M %A Lunetta, Kathryn L %A Murabito, Joanne M %A Christensen, Kaare %A Perls, Thomas T %A Province, Michael A %A Newman, Anne B %K Aging %K Apolipoproteins E %K Forkhead Transcription Factors %K Genetic Linkage %K Genome-Wide Association Study %K Humans %K Longevity %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %X

BACKGROUND: The Healthy Aging Index (HAI) is a tool for measuring the extent of health and disease across multiple systems.

METHODS: We conducted a genome-wide association study and a genome-wide linkage analysis to map quantitative trait loci associated with the HAI and a modified HAI weighted for mortality risk in 3,140 individuals selected for familial longevity from the Long Life Family Study. The genome-wide association study used the Long Life Family Study as the discovery cohort and individuals from the Cardiovascular Health Study and the Framingham Heart Study as replication cohorts.

RESULTS: There were no genome-wide significant findings from the genome-wide association study; however, several single-nucleotide polymorphisms near ZNF704 on chromosome 8q21.13 were suggestively associated with the HAI in the Long Life Family Study (p < 10(-) (6)) and nominally replicated in the Cardiovascular Health Study and Framingham Heart Study. Linkage results revealed significant evidence (log-odds score = 3.36) for a quantitative trait locus for mortality-optimized HAI in women on chromosome 9p24-p23. However, results of fine-mapping studies did not implicate any specific candidate genes within this region of interest.

CONCLUSIONS: ZNF704 may be a potential candidate gene for studies of the genetic underpinnings of longevity.

%B J Gerontol A Biol Sci Med Sci %V 70 %P 1003-8 %8 2015 Aug %G ENG %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/25758594?dopt=Abstract %R 10.1093/gerona/glv006 %0 Journal Article %J Nat Commun %D 2015 %T Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. %A Wessel, Jennifer %A Chu, Audrey Y %A Willems, Sara M %A Wang, Shuai %A Yaghootkar, Hanieh %A Brody, Jennifer A %A Dauriz, Marco %A Hivert, Marie-France %A Raghavan, Sridharan %A Lipovich, Leonard %A Hidalgo, Bertha %A Fox, Keolu %A Huffman, Jennifer E %A An, Ping %A Lu, Yingchang %A Rasmussen-Torvik, Laura J %A Grarup, Niels %A Ehm, Margaret G %A Li, Li %A Baldridge, Abigail S %A Stančáková, Alena %A Abrol, Ravinder %A Besse, Céline %A Boland, Anne %A Bork-Jensen, Jette %A Fornage, Myriam %A Freitag, Daniel F %A Garcia, Melissa E %A Guo, Xiuqing %A Hara, Kazuo %A Isaacs, Aaron %A Jakobsdottir, Johanna %A Lange, Leslie A %A Layton, Jill C %A Li, Man %A Hua Zhao, Jing %A Meidtner, Karina %A Morrison, Alanna C %A Nalls, Mike A %A Peters, Marjolein J %A Sabater-Lleal, Maria %A Schurmann, Claudia %A Silveira, Angela %A Smith, Albert V %A Southam, Lorraine %A Stoiber, Marcus H %A Strawbridge, Rona J %A Taylor, Kent D %A Varga, Tibor V %A Allin, Kristine H %A Amin, Najaf %A Aponte, Jennifer L %A Aung, Tin %A Barbieri, Caterina %A Bihlmeyer, Nathan A %A Boehnke, Michael %A Bombieri, Cristina %A Bowden, Donald W %A Burns, Sean M %A Chen, Yuning %A Chen, Yii-DerI %A Cheng, Ching-Yu %A Correa, Adolfo %A Czajkowski, Jacek %A Dehghan, Abbas %A Ehret, Georg B %A Eiriksdottir, Gudny %A Escher, Stefan A %A Farmaki, Aliki-Eleni %A Frånberg, Mattias %A Gambaro, Giovanni %A Giulianini, Franco %A Goddard, William A %A Goel, Anuj %A Gottesman, Omri %A Grove, Megan L %A Gustafsson, Stefan %A Hai, Yang %A Hallmans, Göran %A Heo, Jiyoung %A Hoffmann, Per %A Ikram, Mohammad K %A Jensen, Richard A %A Jørgensen, Marit E %A Jørgensen, Torben %A Karaleftheri, Maria %A Khor, Chiea C %A Kirkpatrick, Andrea %A Kraja, Aldi T %A Kuusisto, Johanna %A Lange, Ethan M %A Lee, I T %A Lee, Wen-Jane %A Leong, Aaron %A Liao, Jiemin %A Liu, Chunyu %A Liu, Yongmei %A Lindgren, Cecilia M %A Linneberg, Allan %A Malerba, Giovanni %A Mamakou, Vasiliki %A Marouli, Eirini %A Maruthur, Nisa M %A Matchan, Angela %A McKean-Cowdin, Roberta %A McLeod, Olga %A Metcalf, Ginger A %A Mohlke, Karen L %A Muzny, Donna M %A Ntalla, Ioanna %A Palmer, Nicholette D %A Pasko, Dorota %A Peter, Andreas %A Rayner, Nigel W %A Renstrom, Frida %A Rice, Ken %A Sala, Cinzia F %A Sennblad, Bengt %A Serafetinidis, Ioannis %A Smith, Jennifer A %A Soranzo, Nicole %A Speliotes, Elizabeth K %A Stahl, Eli A %A Stirrups, Kathleen %A Tentolouris, Nikos %A Thanopoulou, Anastasia %A Torres, Mina %A Traglia, Michela %A Tsafantakis, Emmanouil %A Javad, Sundas %A Yanek, Lisa R %A Zengini, Eleni %A Becker, Diane M %A Bis, Joshua C %A Brown, James B %A Cupples, L Adrienne %A Hansen, Torben %A Ingelsson, Erik %A Karter, Andrew J %A Lorenzo, Carlos %A Mathias, Rasika A %A Norris, Jill M %A Peloso, Gina M %A Sheu, Wayne H-H %A Toniolo, Daniela %A Vaidya, Dhananjay %A Varma, Rohit %A Wagenknecht, Lynne E %A Boeing, Heiner %A Bottinger, Erwin P %A Dedoussis, George %A Deloukas, Panos %A Ferrannini, Ele %A Franco, Oscar H %A Franks, Paul W %A Gibbs, Richard A %A Gudnason, Vilmundur %A Hamsten, Anders %A Harris, Tamara B %A Hattersley, Andrew T %A Hayward, Caroline %A Hofman, Albert %A Jansson, Jan-Håkan %A Langenberg, Claudia %A Launer, Lenore J %A Levy, Daniel %A Oostra, Ben A %A O'Donnell, Christopher J %A O'Rahilly, Stephen %A Padmanabhan, Sandosh %A Pankow, James S %A Polasek, Ozren %A Province, Michael A %A Rich, Stephen S %A Ridker, Paul M %A Rudan, Igor %A Schulze, Matthias B %A Smith, Blair H %A Uitterlinden, André G %A Walker, Mark %A Watkins, Hugh %A Wong, Tien Y %A Zeggini, Eleftheria %A Laakso, Markku %A Borecki, Ingrid B %A Chasman, Daniel I %A Pedersen, Oluf %A Psaty, Bruce M %A Tai, E Shyong %A van Duijn, Cornelia M %A Wareham, Nicholas J %A Waterworth, Dawn M %A Boerwinkle, Eric %A Kao, W H Linda %A Florez, Jose C %A Loos, Ruth J F %A Wilson, James G %A Frayling, Timothy M %A Siscovick, David S %A Dupuis, Josée %A Rotter, Jerome I %A Meigs, James B %A Scott, Robert A %A Goodarzi, Mark O %K African Continental Ancestry Group %K Blood Glucose %K Diabetes Mellitus, Type 2 %K European Continental Ancestry Group %K Exome %K Fasting %K Genetic Association Studies %K Genetic Loci %K Genetic Predisposition to Disease %K Genetic Variation %K Glucagon-Like Peptide-1 Receptor %K Glucose-6-Phosphatase %K Humans %K Insulin %K Mutation Rate %K Oligonucleotide Array Sequence Analysis %K Polymorphism, Single Nucleotide %X

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

%B Nat Commun %V 6 %P 5897 %8 2015 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/25631608?dopt=Abstract %R 10.1038/ncomms6897 %0 Journal Article %J Genet Epidemiol %D 2016 %T An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group. %A Sung, Yun Ju %A Winkler, Thomas W %A Manning, Alisa K %A Aschard, Hugues %A Gudnason, Vilmundur %A Harris, Tamara B %A Smith, Albert V %A Boerwinkle, Eric %A Brown, Michael R %A Morrison, Alanna C %A Fornage, Myriam %A Lin, Li-An %A Richard, Melissa %A Bartz, Traci M %A Psaty, Bruce M %A Hayward, Caroline %A Polasek, Ozren %A Marten, Jonathan %A Rudan, Igor %A Feitosa, Mary F %A Kraja, Aldi T %A Province, Michael A %A Deng, Xuan %A Fisher, Virginia A %A Zhou, Yanhua %A Bielak, Lawrence F %A Smith, Jennifer %A Huffman, Jennifer E %A Padmanabhan, Sandosh %A Smith, Blair H %A Ding, Jingzhong %A Liu, Yongmei %A Lohman, Kurt %A Bouchard, Claude %A Rankinen, Tuomo %A Rice, Treva K %A Arnett, Donna %A Schwander, Karen %A Guo, Xiuqing %A Palmas, Walter %A Rotter, Jerome I %A Alfred, Tamuno %A Bottinger, Erwin P %A Loos, Ruth J F %A Amin, Najaf %A Franco, Oscar H %A van Duijn, Cornelia M %A Vojinovic, Dina %A Chasman, Daniel I %A Ridker, Paul M %A Rose, Lynda M %A Kardia, Sharon %A Zhu, Xiaofeng %A Rice, Kenneth %A Borecki, Ingrid B %A Rao, Dabeeru C %A Gauderman, W James %A Cupples, L Adrienne %X

Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the "joint" framework). The alternative "stratified" framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts.

%B Genet Epidemiol %V 40 %P 404-15 %8 2016 Jul %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/27230302?dopt=Abstract %R 10.1002/gepi.21978 %0 Journal Article %J Genet Epidemiol %D 2016 %T General Framework for Meta-Analysis of Haplotype Association Tests. %A Wang, Shuai %A Zhao, Jing Hua %A An, Ping %A Guo, Xiuqing %A Jensen, Richard A %A Marten, Jonathan %A Huffman, Jennifer E %A Meidtner, Karina %A Boeing, Heiner %A Campbell, Archie %A Rice, Kenneth M %A Scott, Robert A %A Yao, Jie %A Schulze, Matthias B %A Wareham, Nicholas J %A Borecki, Ingrid B %A Province, Michael A %A Rotter, Jerome I %A Hayward, Caroline %A Goodarzi, Mark O %A Meigs, James B %A Dupuis, Josée %X

For complex traits, most associated single nucleotide variants (SNV) discovered to date have a small effect, and detection of association is only possible with large sample sizes. Because of patient confidentiality concerns, it is often not possible to pool genetic data from multiple cohorts, and meta-analysis has emerged as the method of choice to combine results from multiple studies. Many meta-analysis methods are available for single SNV analyses. As new approaches allow the capture of low frequency and rare genetic variation, it is of interest to jointly consider multiple variants to improve power. However, for the analysis of haplotypes formed by multiple SNVs, meta-analysis remains a challenge, because different haplotypes may be observed across studies. We propose a two-stage meta-analysis approach to combine haplotype analysis results. In the first stage, each cohort estimate haplotype effect sizes in a regression framework, accounting for relatedness among observations if appropriate. For the second stage, we use a multivariate generalized least square meta-analysis approach to combine haplotype effect estimates from multiple cohorts. Haplotype-specific association tests and a global test of independence between haplotypes and traits are obtained within our framework. We demonstrate through simulation studies that we control the type-I error rate, and our approach is more powerful than inverse variance weighted meta-analysis of single SNV analysis when haplotype effects are present. We replicate a published haplotype association between fasting glucose-associated locus (G6PC2) and fasting glucose in seven studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and we provide more precise haplotype effect estimates.

%B Genet Epidemiol %V 40 %P 244-52 %8 2016 Apr %G eng %N 3 %R 10.1002/gepi.21959 %0 Journal Article %J Circ Cardiovasc Genet %D 2016 %T Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis. %A Natarajan, Pradeep %A Bis, Joshua C %A Bielak, Lawrence F %A Cox, Amanda J %A Dörr, Marcus %A Feitosa, Mary F %A Franceschini, Nora %A Guo, Xiuqing %A Hwang, Shih-Jen %A Isaacs, Aaron %A Jhun, Min A %A Kavousi, Maryam %A Li-Gao, Ruifang %A Lyytikäinen, Leo-Pekka %A Marioni, Riccardo E %A Schminke, Ulf %A Stitziel, Nathan O %A Tada, Hayato %A van Setten, Jessica %A Smith, Albert V %A Vojinovic, Dina %A Yanek, Lisa R %A Yao, Jie %A Yerges-Armstrong, Laura M %A Amin, Najaf %A Baber, Usman %A Borecki, Ingrid B %A Carr, J Jeffrey %A Chen, Yii-Der Ida %A Cupples, L Adrienne %A de Jong, Pim A %A de Koning, Harry %A de Vos, Bob D %A Demirkan, Ayse %A Fuster, Valentin %A Franco, Oscar H %A Goodarzi, Mark O %A Harris, Tamara B %A Heckbert, Susan R %A Heiss, Gerardo %A Hoffmann, Udo %A Hofman, Albert %A Išgum, Ivana %A Jukema, J Wouter %A Kähönen, Mika %A Kardia, Sharon L R %A Kral, Brian G %A Launer, Lenore J %A Massaro, Joseph %A Mehran, Roxana %A Mitchell, Braxton D %A Mosley, Thomas H %A de Mutsert, Renée %A Newman, Anne B %A Nguyen, Khanh-Dung %A North, Kari E %A O'Connell, Jeffrey R %A Oudkerk, Matthijs %A Pankow, James S %A Peloso, Gina M %A Post, Wendy %A Province, Michael A %A Raffield, Laura M %A Raitakari, Olli T %A Reilly, Dermot F %A Rivadeneira, Fernando %A Rosendaal, Frits %A Sartori, Samantha %A Taylor, Kent D %A Teumer, Alexander %A Trompet, Stella %A Turner, Stephen T %A Uitterlinden, André G %A Vaidya, Dhananjay %A van der Lugt, Aad %A Völker, Uwe %A Wardlaw, Joanna M %A Wassel, Christina L %A Weiss, Stefan %A Wojczynski, Mary K %A Becker, Diane M %A Becker, Lewis C %A Boerwinkle, Eric %A Bowden, Donald W %A Deary, Ian J %A Dehghan, Abbas %A Felix, Stephan B %A Gudnason, Vilmundur %A Lehtimäki, Terho %A Mathias, Rasika %A Mook-Kanamori, Dennis O %A Psaty, Bruce M %A Rader, Daniel J %A Rotter, Jerome I %A Wilson, James G %A van Duijn, Cornelia M %A Völzke, Henry %A Kathiresan, Sekar %A Peyser, Patricia A %A O'Donnell, Christopher J %X

BACKGROUND: -The burden of subclinical atherosclerosis in asymptomatic individuals is heritable and associated with elevated risk of developing clinical coronary heart disease (CHD). We sought to identify genetic variants in protein-coding regions associated with subclinical atherosclerosis and the risk of subsequent CHD.

METHODS AND RESULTS: -We studied a total of 25,109 European ancestry and African-American participants with coronary artery calcification (CAC) measured by cardiac computed tomography and 52,869 with common carotid intima media thickness (CIMT) measured by ultrasonography within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Participants were genotyped for 247,870 DNA sequence variants (231,539 in exons) across the genome. A meta-analysis of exome-wide association studies was performed across cohorts for CAC and CIMT. APOB p.Arg3527Gln was associated with four-fold excess CAC (P = 3×10(-10)). The APOE ε2 allele (p.Arg176Cys) was associated with both 22.3% reduced CAC (P = 1×10(-12)) and 1.4% reduced CIMT (P = 4×10(-14)) in carriers compared with non-carriers. In secondary analyses conditioning on LDL cholesterol concentration, the ε2 protective association with CAC, although attenuated, remained strongly significant. Additionally, the presence of ε2 was associated with reduced risk for CHD (OR 0.77; P = 1×10(-11)).

CONCLUSIONS: -Exome-wide association meta-analysis demonstrates that protein-coding variants in APOB and APOE associate with subclinical atherosclerosis. APOE ε2 represents the first significant association for multiple subclinical atherosclerosis traits across multiple ethnicities as well as clinical CHD.

%B Circ Cardiovasc Genet %8 2016 Nov 21 %G eng %R 10.1161/CIRCGENETICS.116.001572 %0 Journal Article %J Am J Hum Genet %D 2016 %T Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin. %A Liu, Ching-Ti %A Raghavan, Sridharan %A Maruthur, Nisa %A Kabagambe, Edmond Kato %A Hong, Jaeyoung %A Ng, Maggie C Y %A Hivert, Marie-France %A Lu, Yingchang %A An, Ping %A Bentley, Amy R %A Drolet, Anne M %A Gaulton, Kyle J %A Guo, Xiuqing %A Armstrong, Loren L %A Irvin, Marguerite R %A Li, Man %A Lipovich, Leonard %A Rybin, Denis V %A Taylor, Kent D %A Agyemang, Charles %A Palmer, Nicholette D %A Cade, Brian E %A Chen, Wei-Min %A Dauriz, Marco %A Delaney, Joseph A C %A Edwards, Todd L %A Evans, Daniel S %A Evans, Michele K %A Lange, Leslie A %A Leong, Aaron %A Liu, Jingmin %A Liu, Yongmei %A Nayak, Uma %A Patel, Sanjay R %A Porneala, Bianca C %A Rasmussen-Torvik, Laura J %A Snijder, Marieke B %A Stallings, Sarah C %A Tanaka, Toshiko %A Yanek, Lisa R %A Zhao, Wei %A Becker, Diane M %A Bielak, Lawrence F %A Biggs, Mary L %A Bottinger, Erwin P %A Bowden, Donald W %A Chen, Guanjie %A Correa, Adolfo %A Couper, David J %A Crawford, Dana C %A Cushman, Mary %A Eicher, John D %A Fornage, Myriam %A Franceschini, Nora %A Fu, Yi-Ping %A Goodarzi, Mark O %A Gottesman, Omri %A Hara, Kazuo %A Harris, Tamara B %A Jensen, Richard A %A Johnson, Andrew D %A Jhun, Min A %A Karter, Andrew J %A Keller, Margaux F %A Kho, Abel N %A Kizer, Jorge R %A Krauss, Ronald M %A Langefeld, Carl D %A Li, Xiaohui %A Liang, Jingling %A Liu, Simin %A Lowe, William L %A Mosley, Thomas H %A North, Kari E %A Pacheco, Jennifer A %A Peyser, Patricia A %A Patrick, Alan L %A Rice, Kenneth M %A Selvin, Elizabeth %A Sims, Mario %A Smith, Jennifer A %A Tajuddin, Salman M %A Vaidya, Dhananjay %A Wren, Mary P %A Yao, Jie %A Zhu, Xiaofeng %A Ziegler, Julie T %A Zmuda, Joseph M %A Zonderman, Alan B %A Zwinderman, Aeilko H %A Adeyemo, Adebowale %A Boerwinkle, Eric %A Ferrucci, Luigi %A Hayes, M Geoffrey %A Kardia, Sharon L R %A Miljkovic, Iva %A Pankow, James S %A Rotimi, Charles N %A Sale, Michèle M %A Wagenknecht, Lynne E %A Arnett, Donna K %A Chen, Yii-Der Ida %A Nalls, Michael A %A Province, Michael A %A Kao, W H Linda %A Siscovick, David S %A Psaty, Bruce M %A Wilson, James G %A Loos, Ruth J F %A Dupuis, Josée %A Rich, Stephen S %A Florez, Jose C %A Rotter, Jerome I %A Morris, Andrew P %A Meigs, James B %X

Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.

%B Am J Hum Genet %V 99 %P 56-75 %8 2016 Jul 7 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/27321945?dopt=Abstract %R 10.1016/j.ajhg.2016.05.006 %0 Journal Article %J Mol Nutr Food Res %D 2017 %T Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent. %A Smith, Caren E %A Follis, Jack L %A Dashti, Hassan S %A Tanaka, Toshiko %A Graff, Mariaelisa %A Fretts, Amanda M %A Kilpeläinen, Tuomas O %A Wojczynski, Mary K %A Richardson, Kris %A Nalls, Mike A %A Schulz, Christina-Alexandra %A Liu, Yongmei %A Frazier-Wood, Alexis C %A van Eekelen, Esther %A Wang, Carol %A de Vries, Paul S %A Mikkilä, Vera %A Rohde, Rebecca %A Psaty, Bruce M %A Hansen, Torben %A Feitosa, Mary F %A Lai, Chao-Qiang %A Houston, Denise K %A Ferruci, Luigi %A Ericson, Ulrika %A Wang, Zhe %A de Mutsert, Renée %A Oddy, Wendy H %A de Jonge, Ester A L %A Seppälä, Ilkka %A Justice, Anne E %A Lemaitre, Rozenn N %A Sørensen, Thorkild I A %A Province, Michael A %A Parnell, Laurence D %A Garcia, Melissa E %A Bandinelli, Stefania %A Orho-Melander, Marju %A Rich, Stephen S %A Rosendaal, Frits R %A Pennell, Craig E %A Kiefte-de Jong, Jessica C %A Kähönen, Mika %A Young, Kristin L %A Pedersen, Oluf %A Aslibekyan, Stella %A Rotter, Jerome I %A Mook-Kanamori, Dennis O %A Zillikens, M Carola %A Raitakari, Olli T %A North, Kari E %A Overvad, Kim %A Arnett, Donna K %A Hofman, Albert %A Lehtimäki, Terho %A Tjønneland, Anne %A Uitterlinden, André G %A Rivadeneira, Fernando %A Franco, Oscar H %A German, J Bruce %A Siscovick, David S %A Cupples, L Adrienne %A Ordovas, Jose M %X

SCOPE: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption.

METHODS AND RESULTS: A genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction <10-7) , and six independent variants (LINC01512-rs7751666, PALM2/AKAP2-rs914359, ACTA2-rs1388, PPP1R12A-rs7961195, LINC00333-rs9635058, AC098847.1-rs1791355) were evaluated meta-analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3' of LINC00333) was replicated (p-interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy (p-interaction = 7.36 × 10-8) such that each serving of low-fat dairy was associated with 0.225 kg m-2 lower BMI per each additional copy of the effect allele (A). A second genetic variant (ACTA2-rs1388) approached interaction replication significance for low-fat dairy exposure.

CONCLUSION: Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight.

%B Mol Nutr Food Res %8 2017 Sep 21 %G eng %R 10.1002/mnfr.201700347 %0 Journal Article %J Circ Cardiovasc Genet %D 2017 %T New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. %A Kraja, Aldi T %A Cook, James P %A Warren, Helen R %A Surendran, Praveen %A Liu, Chunyu %A Evangelou, Evangelos %A Manning, Alisa K %A Grarup, Niels %A Drenos, Fotios %A Sim, Xueling %A Smith, Albert Vernon %A Amin, Najaf %A Blakemore, Alexandra I F %A Bork-Jensen, Jette %A Brandslund, Ivan %A Farmaki, Aliki-Eleni %A Fava, Cristiano %A Ferreira, Teresa %A Herzig, Karl-Heinz %A Giri, Ayush %A Giulianini, Franco %A Grove, Megan L %A Guo, Xiuqing %A Harris, Sarah E %A Have, Christian T %A Havulinna, Aki S %A Zhang, He %A Jørgensen, Marit E %A Käräjämäki, AnneMari %A Kooperberg, Charles %A Linneberg, Allan %A Little, Louis %A Liu, Yongmei %A Bonnycastle, Lori L %A Lu, Yingchang %A Mägi, Reedik %A Mahajan, Anubha %A Malerba, Giovanni %A Marioni, Riccardo E %A Mei, Hao %A Menni, Cristina %A Morrison, Alanna C %A Padmanabhan, Sandosh %A Palmas, Walter %A Poveda, Alaitz %A Rauramaa, Rainer %A Rayner, Nigel William %A Riaz, Muhammad %A Rice, Ken %A Richard, Melissa A %A Smith, Jennifer A %A Southam, Lorraine %A Stančáková, Alena %A Stirrups, Kathleen E %A Tragante, Vinicius %A Tuomi, Tiinamaija %A Tzoulaki, Ioanna %A Varga, Tibor V %A Weiss, Stefan %A Yiorkas, Andrianos M %A Young, Robin %A Zhang, Weihua %A Barnes, Michael R %A Cabrera, Claudia P %A Gao, He %A Boehnke, Michael %A Boerwinkle, Eric %A Chambers, John C %A Connell, John M %A Christensen, Cramer K %A de Boer, Rudolf A %A Deary, Ian J %A Dedoussis, George %A Deloukas, Panos %A Dominiczak, Anna F %A Dörr, Marcus %A Joehanes, Roby %A Edwards, Todd L %A Esko, Tõnu %A Fornage, Myriam %A Franceschini, Nora %A Franks, Paul W %A Gambaro, Giovanni %A Groop, Leif %A Hallmans, Göran %A Hansen, Torben %A Hayward, Caroline %A Heikki, Oksa %A Ingelsson, Erik %A Tuomilehto, Jaakko %A Jarvelin, Marjo-Riitta %A Kardia, Sharon L R %A Karpe, Fredrik %A Kooner, Jaspal S %A Lakka, Timo A %A Langenberg, Claudia %A Lind, Lars %A Loos, Ruth J F %A Laakso, Markku %A McCarthy, Mark I %A Melander, Olle %A Mohlke, Karen L %A Morris, Andrew P %A Palmer, Colin N A %A Pedersen, Oluf %A Polasek, Ozren %A Poulter, Neil R %A Province, Michael A %A Psaty, Bruce M %A Ridker, Paul M %A Rotter, Jerome I %A Rudan, Igor %A Salomaa, Veikko %A Samani, Nilesh J %A Sever, Peter J %A Skaaby, Tea %A Stafford, Jeanette M %A Starr, John M %A van der Harst, Pim %A van der Meer, Peter %A van Duijn, Cornelia M %A Vergnaud, Anne-Claire %A Gudnason, Vilmundur %A Wareham, Nicholas J %A Wilson, James G %A Willer, Cristen J %A Witte, Daniel R %A Zeggini, Eleftheria %A Saleheen, Danish %A Butterworth, Adam S %A Danesh, John %A Asselbergs, Folkert W %A Wain, Louise V %A Ehret, Georg B %A Chasman, Daniel I %A Caulfield, Mark J %A Elliott, Paul %A Lindgren, Cecilia M %A Levy, Daniel %A Newton-Cheh, Christopher %A Munroe, Patricia B %A Howson, Joanna M M %X

BACKGROUND: Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association.

METHODS AND RESULTS: Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5×10-8) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant.

CONCLUSIONS: We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up.

%B Circ Cardiovasc Genet %V 10 %8 2017 Oct %G eng %N 5 %R 10.1161/CIRCGENETICS.117.001778 %0 Journal Article %J Am J Hum Genet %D 2018 %T A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. %A Sung, Yun J %A Winkler, Thomas W %A de Las Fuentes, Lisa %A Bentley, Amy R %A Brown, Michael R %A Kraja, Aldi T %A Schwander, Karen %A Ntalla, Ioanna %A Guo, Xiuqing %A Franceschini, Nora %A Lu, Yingchang %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Marten, Jonathan %A Musani, Solomon K %A Li, Changwei %A Feitosa, Mary F %A Kilpeläinen, Tuomas O %A Richard, Melissa A %A Noordam, Raymond %A Aslibekyan, Stella %A Aschard, Hugues %A Bartz, Traci M %A Dorajoo, Rajkumar %A Liu, Yongmei %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert Vernon %A Tajuddin, Salman M %A Tayo, Bamidele O %A Warren, Helen R %A Zhao, Wei %A Zhou, Yanhua %A Matoba, Nana %A Sofer, Tamar %A Alver, Maris %A Amini, Marzyeh %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gandin, Ilaria %A Gao, Chuan %A Giulianini, Franco %A Goel, Anuj %A Harris, Sarah E %A Hartwig, Fernando Pires %A Horimoto, Andrea R V R %A Hsu, Fang-Chi %A Jackson, Anne U %A Kähönen, Mika %A Kasturiratne, Anuradhani %A Kuhnel, Brigitte %A Leander, Karin %A Lee, Wen-Jane %A Lin, Keng-Hung %A 'an Luan, Jian %A McKenzie, Colin A %A Meian, He %A Nelson, Christopher P %A Rauramaa, Rainer %A Schupf, Nicole %A Scott, Robert A %A Sheu, Wayne H H %A Stančáková, Alena %A Takeuchi, Fumihiko %A van der Most, Peter J %A Varga, Tibor V %A Wang, Heming %A Wang, Yajuan %A Ware, Erin B %A Weiss, Stefan %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Alfred, Tamuno %A Amin, Najaf %A Arking, Dan %A Aung, Tin %A Barr, R Graham %A Bielak, Lawrence F %A Boerwinkle, Eric %A Bottinger, Erwin P %A Braund, Peter S %A Brody, Jennifer A %A Broeckel, Ulrich %A Cabrera, Claudia P %A Cade, Brian %A Caizheng, Yu %A Campbell, Archie %A Canouil, Mickaël %A Chakravarti, Aravinda %A Chauhan, Ganesh %A Christensen, Kaare %A Cocca, Massimiliano %A Collins, Francis S %A Connell, John M %A de Mutsert, Renée %A de Silva, H Janaka %A Debette, Stephanie %A Dörr, Marcus %A Duan, Qing %A Eaton, Charles B %A Ehret, Georg %A Evangelou, Evangelos %A Faul, Jessica D %A Fisher, Virginia A %A Forouhi, Nita G %A Franco, Oscar H %A Friedlander, Yechiel %A Gao, He %A Gigante, Bruna %A Graff, Misa %A Gu, C Charles %A Gu, Dongfeng %A Gupta, Preeti %A Hagenaars, Saskia P %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Hofman, Albert %A Howard, Barbara V %A Hunt, Steven %A Irvin, Marguerite R %A Jia, Yucheng %A Joehanes, Roby %A Justice, Anne E %A Katsuya, Tomohiro %A Kaufman, Joel %A Kerrison, Nicola D %A Khor, Chiea Chuen %A Koh, Woon-Puay %A Koistinen, Heikki A %A Komulainen, Pirjo %A Kooperberg, Charles %A Krieger, Jose E %A Kubo, Michiaki %A Kuusisto, Johanna %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lewis, Cora E %A Li, Yize %A Lim, Sing Hui %A Lin, Shiow %A Liu, Ching-Ti %A Liu, Jianjun %A Liu, Jingmin %A Liu, Kiang %A Liu, Yeheng %A Loh, Marie %A Lohman, Kurt K %A Long, Jirong %A Louie, Tin %A Mägi, Reedik %A Mahajan, Anubha %A Meitinger, Thomas %A Metspalu, Andres %A Milani, Lili %A Momozawa, Yukihide %A Morris, Andrew P %A Mosley, Thomas H %A Munson, Peter %A Murray, Alison D %A Nalls, Mike A %A Nasri, Ubaydah %A Norris, Jill M %A North, Kari %A Ogunniyi, Adesola %A Padmanabhan, Sandosh %A Palmas, Walter R %A Palmer, Nicholette D %A Pankow, James S %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Raitakari, Olli T %A Renstrom, Frida %A Rice, Treva K %A Ridker, Paul M %A Robino, Antonietta %A Robinson, Jennifer G %A Rose, Lynda M %A Rudan, Igor %A Sabanayagam, Charumathi %A Salako, Babatunde L %A Sandow, Kevin %A Schmidt, Carsten O %A Schreiner, Pamela J %A Scott, William R %A Seshadri, Sudha %A Sever, Peter %A Sitlani, Colleen M %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Tang, Hua %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Uitterlinden, André G %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Ya X %A Wei, Wen Bin %A Williams, Christine %A Wilson, Gregory %A Wojczynski, Mary K %A Yao, Jie %A Yuan, Jian-Min %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Chen, Yii-Der Ida %A de Faire, Ulf %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Forrester, Terrence %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Horta, Bernardo Lessa %A Hung, Yi-Jen %A Jonas, Jost B %A Kato, Norihiro %A Kooner, Jaspal S %A Laakso, Markku %A Lehtimäki, Terho %A Liang, Kae-Woei %A Magnusson, Patrik K E %A Newman, Anne B %A Oldehinkel, Albertine J %A Pereira, Alexandre C %A Redline, Susan %A Rettig, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Wu, Tangchun %A Zheng, Wei %A Kamatani, Yoichiro %A Laurie, Cathy C %A Bouchard, Claude %A Cooper, Richard S %A Evans, Michele K %A Gudnason, Vilmundur %A Kardia, Sharon L R %A Kritchevsky, Stephen B %A Levy, Daniel %A O'Connell, Jeff R %A Psaty, Bruce M %A van Dam, Rob M %A Sims, Mario %A Arnett, Donna K %A Mook-Kanamori, Dennis O %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A Fornage, Myriam %A Rotimi, Charles N %A Province, Michael A %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Loos, Ruth J F %A Reiner, Alex P %A Rotter, Jerome I %A Zhu, Xiaofeng %A Bierut, Laura J %A Gauderman, W James %A Caulfield, Mark J %A Elliott, Paul %A Rice, Kenneth %A Munroe, Patricia B %A Morrison, Alanna C %A Cupples, L Adrienne %A Rao, Dabeeru C %A Chasman, Daniel I %X

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

%B Am J Hum Genet %V 102 %P 375-400 %8 2018 Mar 01 %G eng %N 3 %R 10.1016/j.ajhg.2018.01.015 %0 Journal Article %J Wellcome Open Res %D 2018 %T Meta-analysis of exome array data identifies six novel genetic loci for lung function. %A Jackson, Victoria E %A Latourelle, Jeanne C %A Wain, Louise V %A Smith, Albert V %A Grove, Megan L %A Bartz, Traci M %A Obeidat, Ma'en %A Province, Michael A %A Gao, Wei %A Qaiser, Beenish %A Porteous, David J %A Cassano, Patricia A %A Ahluwalia, Tarunveer S %A Grarup, Niels %A Li, Jin %A Altmaier, Elisabeth %A Marten, Jonathan %A Harris, Sarah E %A Manichaikul, Ani %A Pottinger, Tess D %A Li-Gao, Ruifang %A Lind-Thomsen, Allan %A Mahajan, Anubha %A Lahousse, Lies %A Imboden, Medea %A Teumer, Alexander %A Prins, Bram %A Lyytikäinen, Leo-Pekka %A Eiriksdottir, Gudny %A Franceschini, Nora %A Sitlani, Colleen M %A Brody, Jennifer A %A Bossé, Yohan %A Timens, Wim %A Kraja, Aldi %A Loukola, Anu %A Tang, Wenbo %A Liu, Yongmei %A Bork-Jensen, Jette %A Justesen, Johanne M %A Linneberg, Allan %A Lange, Leslie A %A Rawal, Rajesh %A Karrasch, Stefan %A Huffman, Jennifer E %A Smith, Blair H %A Davies, Gail %A Burkart, Kristin M %A Mychaleckyj, Josyf C %A Bonten, Tobias N %A Enroth, Stefan %A Lind, Lars %A Brusselle, Guy G %A Kumar, Ashish %A Stubbe, Beate %A Kähönen, Mika %A Wyss, Annah B %A Psaty, Bruce M %A Heckbert, Susan R %A Hao, Ke %A Rantanen, Taina %A Kritchevsky, Stephen B %A Lohman, Kurt %A Skaaby, Tea %A Pisinger, Charlotta %A Hansen, Torben %A Schulz, Holger %A Polasek, Ozren %A Campbell, Archie %A Starr, John M %A Rich, Stephen S %A Mook-Kanamori, Dennis O %A Johansson, Asa %A Ingelsson, Erik %A Uitterlinden, André G %A Weiss, Stefan %A Raitakari, Olli T %A Gudnason, Vilmundur %A North, Kari E %A Gharib, Sina A %A Sin, Don D %A Taylor, Kent D %A O'Connor, George T %A Kaprio, Jaakko %A Harris, Tamara B %A Pederson, Oluf %A Vestergaard, Henrik %A Wilson, James G %A Strauch, Konstantin %A Hayward, Caroline %A Kerr, Shona %A Deary, Ian J %A Barr, R Graham %A de Mutsert, Renée %A Gyllensten, Ulf %A Morris, Andrew P %A Ikram, M Arfan %A Probst-Hensch, Nicole %A Gläser, Sven %A Zeggini, Eleftheria %A Lehtimäki, Terho %A Strachan, David P %A Dupuis, Josée %A Morrison, Alanna C %A Hall, Ian P %A Tobin, Martin D %A London, Stephanie J %X

Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV ), forced vital capacity (FVC) and the ratio of FEV to FVC (FEV /FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. We identified significant (P<2·8x10 ) associations with six SNPs: a nonsynonymous variant in , which is predicted to be damaging, three intronic SNPs ( and ) and two intergenic SNPs near to and Expression quantitative trait loci analyses found evidence for regulation of gene expression at three signals and implicated several genes, including and . Further interrogation of these loci could provide greater understanding of the determinants of lung function and pulmonary disease.

%B Wellcome Open Res %V 3 %P 4 %8 2018 %G eng %R 10.12688/wellcomeopenres.12583.3 %0 Journal Article %J Nat Commun %D 2018 %T Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function. %A Wyss, Annah B %A Sofer, Tamar %A Lee, Mi Kyeong %A Terzikhan, Natalie %A Nguyen, Jennifer N %A Lahousse, Lies %A Latourelle, Jeanne C %A Smith, Albert Vernon %A Bartz, Traci M %A Feitosa, Mary F %A Gao, Wei %A Ahluwalia, Tarunveer S %A Tang, Wenbo %A Oldmeadow, Christopher %A Duan, Qing %A de Jong, Kim %A Wojczynski, Mary K %A Wang, Xin-Qun %A Noordam, Raymond %A Hartwig, Fernando Pires %A Jackson, Victoria E %A Wang, Tianyuan %A Obeidat, Ma'en %A Hobbs, Brian D %A Huan, Tianxiao %A Gui, Hongsheng %A Parker, Margaret M %A Hu, Donglei %A Mogil, Lauren S %A Kichaev, Gleb %A Jin, Jianping %A Graff, Mariaelisa %A Harris, Tamara B %A Kalhan, Ravi %A Heckbert, Susan R %A Paternoster, Lavinia %A Burkart, Kristin M %A Liu, Yongmei %A Holliday, Elizabeth G %A Wilson, James G %A Vonk, Judith M %A Sanders, Jason L %A Barr, R Graham %A de Mutsert, Renée %A Menezes, Ana Maria Baptista %A Adams, Hieab H H %A van den Berge, Maarten %A Joehanes, Roby %A Levin, Albert M %A Liberto, Jennifer %A Launer, Lenore J %A Morrison, Alanna C %A Sitlani, Colleen M %A Celedón, Juan C %A Kritchevsky, Stephen B %A Scott, Rodney J %A Christensen, Kaare %A Rotter, Jerome I %A Bonten, Tobias N %A Wehrmeister, Fernando César %A Bossé, Yohan %A Xiao, Shujie %A Oh, Sam %A Franceschini, Nora %A Brody, Jennifer A %A Kaplan, Robert C %A Lohman, Kurt %A McEvoy, Mark %A Province, Michael A %A Rosendaal, Frits R %A Taylor, Kent D %A Nickle, David C %A Williams, L Keoki %A Burchard, Esteban G %A Wheeler, Heather E %A Sin, Don D %A Gudnason, Vilmundur %A North, Kari E %A Fornage, Myriam %A Psaty, Bruce M %A Myers, Richard H %A O'Connor, George %A Hansen, Torben %A Laurie, Cathy C %A Cassano, Patricia A %A Sung, Joohon %A Kim, Woo Jin %A Attia, John R %A Lange, Leslie %A Boezen, H Marike %A Thyagarajan, Bharat %A Rich, Stephen S %A Mook-Kanamori, Dennis O %A Horta, Bernardo Lessa %A Uitterlinden, André G %A Im, Hae Kyung %A Cho, Michael H %A Brusselle, Guy G %A Gharib, Sina A %A Dupuis, Josée %A Manichaikul, Ani %A London, Stephanie J %X

Nearly 100 loci have been identified for pulmonary function, almost exclusively in studies of European ancestry populations. We extend previous research by meta-analyzing genome-wide association studies of 1000 Genomes imputed variants in relation to pulmonary function in a multiethnic population of 90,715 individuals of European (N = 60,552), African (N = 8429), Asian (N = 9959), and Hispanic/Latino (N = 11,775) ethnicities. We identify over 50 additional loci at genome-wide significance in ancestry-specific or multiethnic meta-analyses. Using recent fine-mapping methods incorporating functional annotation, gene expression, and differences in linkage disequilibrium between ethnicities, we further shed light on potential causal variants and genes at known and newly identified loci. Several of the novel genes encode proteins with predicted or established drug targets, including KCNK2 and CDK12. Our study highlights the utility of multiethnic and integrative genomics approaches to extend existing knowledge of the genetics of lung function and clinical relevance of implicated loci.

%B Nat Commun %V 9 %P 2976 %8 2018 Jul 30 %G eng %N 1 %R 10.1038/s41467-018-05369-0 %0 Journal Article %J PLoS One %D 2018 %T Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. %A Feitosa, Mary F %A Kraja, Aldi T %A Chasman, Daniel I %A Sung, Yun J %A Winkler, Thomas W %A Ntalla, Ioanna %A Guo, Xiuqing %A Franceschini, Nora %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Marten, Jonathan %A Musani, Solomon K %A Li, Changwei %A Bentley, Amy R %A Brown, Michael R %A Schwander, Karen %A Richard, Melissa A %A Noordam, Raymond %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Dorajoo, Rajkumar %A Fisher, Virginia %A Hartwig, Fernando P %A Horimoto, Andrea R V R %A Lohman, Kurt K %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Wojczynski, Mary K %A Alver, Maris %A Boissel, Mathilde %A Cai, Qiuyin %A Campbell, Archie %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A He, Meian %A Hsu, Fang-Chi %A Jackson, Anne U %A Kähönen, Mika %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kuhnel, Brigitte %A Laguzzi, Federica %A Luan, Jian'an %A Matoba, Nana %A Nolte, Ilja M %A Padmanabhan, Sandosh %A Riaz, Muhammad %A Rueedi, Rico %A Robino, Antonietta %A Said, M Abdullah %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Vitart, Veronique %A Wang, Yajuan %A Ware, Erin B %A Warren, Helen R %A Weiss, Stefan %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Aung, Tin %A Boerwinkle, Eric %A Borecki, Ingrid %A Broeckel, Ulrich %A Brown, Morris %A Brumat, Marco %A Burke, Gregory L %A Canouil, Mickaël %A Chakravarti, Aravinda %A Charumathi, Sabanayagam %A Ida Chen, Yii-Der %A Connell, John M %A Correa, Adolfo %A de Las Fuentes, Lisa %A de Mutsert, Renée %A de Silva, H Janaka %A Deng, Xuan %A Ding, Jingzhong %A Duan, Qing %A Eaton, Charles B %A Ehret, Georg %A Eppinga, Ruben N %A Evangelou, Evangelos %A Faul, Jessica D %A Felix, Stephan B %A Forouhi, Nita G %A Forrester, Terrence %A Franco, Oscar H %A Friedlander, Yechiel %A Gandin, Ilaria %A Gao, He %A Ghanbari, Mohsen %A Gigante, Bruna %A Gu, C Charles %A Gu, Dongfeng %A Hagenaars, Saskia P %A Hallmans, Göran %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Howard, Barbara V %A Ikram, M Arfan %A John, Ulrich %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Krieger, Jose E %A Kritchevsky, Stephen B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lewis, Cora E %A Li, Yize %A Lin, Shiow %A Liu, Jianjun %A Liu, Jingmin %A Loh, Marie %A Louie, Tin %A Mägi, Reedik %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Momozawa, Yukihide %A Nalls, Mike A %A Nelson, Christopher P %A Sotoodehnia, Nona %A Norris, Jill M %A O'Connell, Jeff R %A Palmer, Nicholette D %A Perls, Thomas %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Poulter, Neil %A Raffel, Leslie J %A Raitakari, Olli T %A Roll, Kathryn %A Rose, Lynda M %A Rosendaal, Frits R %A Rotter, Jerome I %A Schmidt, Carsten O %A Schreiner, Pamela J %A Schupf, Nicole %A Scott, William R %A Sever, Peter S %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Sitlani, Colleen M %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Stringham, Heather M %A Tan, Nicholas Y Q %A Tang, Hua %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Turner, Stephen T %A Uitterlinden, André G %A Vollenweider, Peter %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Ya Xing %A Wei, Wen Bin %A Williams, Christine %A Yao, Jie %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Jonas, Jost Bruno %A Kamatani, Yoichiro %A Kato, Norihiro %A Kooner, Jaspal S %A Kutalik, Zoltán %A Laakso, Markku %A Laurie, Cathy C %A Leander, Karin %A Lehtimäki, Terho %A Study, Lifelines Cohort %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Polasek, Ozren %A Porteous, David J %A Rauramaa, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Wu, Tangchun %A Zheng, Wei %A Bouchard, Claude %A Christensen, Kaare %A Evans, Michele K %A Gudnason, Vilmundur %A Horta, Bernardo L %A Kardia, Sharon L R %A Liu, Yongmei %A Pereira, Alexandre C %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Gauderman, W James %A Zhu, Xiaofeng %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Rotimi, Charles N %A Cupples, L Adrienne %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Kooperberg, Charles %A Palmas, Walter %A Rice, Kenneth %A Morrison, Alanna C %A Elliott, Paul %A Caulfield, Mark J %A Munroe, Patricia B %A Rao, Dabeeru C %A Province, Michael A %A Levy, Daniel %X

Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.

%B PLoS One %V 13 %P e0198166 %8 2018 %G eng %N 6 %R 10.1371/journal.pone.0198166 %0 Journal Article %J Nat Genet %D 2018 %T Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. %A Mahajan, Anubha %A Wessel, Jennifer %A Willems, Sara M %A Zhao, Wei %A Robertson, Neil R %A Chu, Audrey Y %A Gan, Wei %A Kitajima, Hidetoshi %A Taliun, Daniel %A Rayner, N William %A Guo, Xiuqing %A Lu, Yingchang %A Li, Man %A Jensen, Richard A %A Hu, Yao %A Huo, Shaofeng %A Lohman, Kurt K %A Zhang, Weihua %A Cook, James P %A Prins, Bram Peter %A Flannick, Jason %A Grarup, Niels %A Trubetskoy, Vassily Vladimirovich %A Kravic, Jasmina %A Kim, Young Jin %A Rybin, Denis V %A Yaghootkar, Hanieh %A Müller-Nurasyid, Martina %A Meidtner, Karina %A Li-Gao, Ruifang %A Varga, Tibor V %A Marten, Jonathan %A Li, Jin %A Smith, Albert Vernon %A An, Ping %A Ligthart, Symen %A Gustafsson, Stefan %A Malerba, Giovanni %A Demirkan, Ayse %A Tajes, Juan Fernandez %A Steinthorsdottir, Valgerdur %A Wuttke, Matthias %A Lecoeur, Cécile %A Preuss, Michael %A Bielak, Lawrence F %A Graff, Marielisa %A Highland, Heather M %A Justice, Anne E %A Liu, Dajiang J %A Marouli, Eirini %A Peloso, Gina Marie %A Warren, Helen R %A Afaq, Saima %A Afzal, Shoaib %A Ahlqvist, Emma %A Almgren, Peter %A Amin, Najaf %A Bang, Lia B %A Bertoni, Alain G %A Bombieri, Cristina %A Bork-Jensen, Jette %A Brandslund, Ivan %A Brody, Jennifer A %A Burtt, Noel P %A Canouil, Mickaël %A Chen, Yii-Der Ida %A Cho, Yoon Shin %A Christensen, Cramer %A Eastwood, Sophie V %A Eckardt, Kai-Uwe %A Fischer, Krista %A Gambaro, Giovanni %A Giedraitis, Vilmantas %A Grove, Megan L %A de Haan, Hugoline G %A Hackinger, Sophie %A Hai, Yang %A Han, Sohee %A Tybjærg-Hansen, Anne %A Hivert, Marie-France %A Isomaa, Bo %A Jäger, Susanne %A Jørgensen, Marit E %A Jørgensen, Torben %A Käräjämäki, AnneMari %A Kim, Bong-Jo %A Kim, Sung Soo %A Koistinen, Heikki A %A Kovacs, Peter %A Kriebel, Jennifer %A Kronenberg, Florian %A Läll, Kristi %A Lange, Leslie A %A Lee, Jung-Jin %A Lehne, Benjamin %A Li, Huaixing %A Lin, Keng-Hung %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Jun %A Loh, Marie %A Mägi, Reedik %A Mamakou, Vasiliki %A McKean-Cowdin, Roberta %A Nadkarni, Girish %A Neville, Matt %A Nielsen, Sune F %A Ntalla, Ioanna %A Peyser, Patricia A %A Rathmann, Wolfgang %A Rice, Kenneth %A Rich, Stephen S %A Rode, Line %A Rolandsson, Olov %A Schönherr, Sebastian %A Selvin, Elizabeth %A Small, Kerrin S %A Stančáková, Alena %A Surendran, Praveen %A Taylor, Kent D %A Teslovich, Tanya M %A Thorand, Barbara %A Thorleifsson, Gudmar %A Tin, Adrienne %A Tönjes, Anke %A Varbo, Anette %A Witte, Daniel R %A Wood, Andrew R %A Yajnik, Pranav %A Yao, Jie %A Yengo, Loic %A Young, Robin %A Amouyel, Philippe %A Boeing, Heiner %A Boerwinkle, Eric %A Bottinger, Erwin P %A Chowdhury, Rajiv %A Collins, Francis S %A Dedoussis, George %A Dehghan, Abbas %A Deloukas, Panos %A Ferrario, Marco M %A Ferrieres, Jean %A Florez, Jose C %A Frossard, Philippe %A Gudnason, Vilmundur %A Harris, Tamara B %A Heckbert, Susan R %A Howson, Joanna M M %A Ingelsson, Martin %A Kathiresan, Sekar %A Kee, Frank %A Kuusisto, Johanna %A Langenberg, Claudia %A Launer, Lenore J %A Lindgren, Cecilia M %A Männistö, Satu %A Meitinger, Thomas %A Melander, Olle %A Mohlke, Karen L %A Moitry, Marie %A Morris, Andrew D %A Murray, Alison D %A de Mutsert, Renée %A Orho-Melander, Marju %A Owen, Katharine R %A Perola, Markus %A Peters, Annette %A Province, Michael A %A Rasheed, Asif %A Ridker, Paul M %A Rivadineira, Fernando %A Rosendaal, Frits R %A Rosengren, Anders H %A Salomaa, Veikko %A Sheu, Wayne H-H %A Sladek, Rob %A Smith, Blair H %A Strauch, Konstantin %A Uitterlinden, André G %A Varma, Rohit %A Willer, Cristen J %A Blüher, Matthias %A Butterworth, Adam S %A Chambers, John Campbell %A Chasman, Daniel I %A Danesh, John %A van Duijn, Cornelia %A Dupuis, Josée %A Franco, Oscar H %A Franks, Paul W %A Froguel, Philippe %A Grallert, Harald %A Groop, Leif %A Han, Bok-Ghee %A Hansen, Torben %A Hattersley, Andrew T %A Hayward, Caroline %A Ingelsson, Erik %A Kardia, Sharon L R %A Karpe, Fredrik %A Kooner, Jaspal Singh %A Köttgen, Anna %A Kuulasmaa, Kari %A Laakso, Markku %A Lin, Xu %A Lind, Lars %A Liu, Yongmei %A Loos, Ruth J F %A Marchini, Jonathan %A Metspalu, Andres %A Mook-Kanamori, Dennis %A Nordestgaard, Børge G %A Palmer, Colin N A %A Pankow, James S %A Pedersen, Oluf %A Psaty, Bruce M %A Rauramaa, Rainer %A Sattar, Naveed %A Schulze, Matthias B %A Soranzo, Nicole %A Spector, Timothy D %A Stefansson, Kari %A Stumvoll, Michael %A Thorsteinsdottir, Unnur %A Tuomi, Tiinamaija %A Tuomilehto, Jaakko %A Wareham, Nicholas J %A Wilson, James G %A Zeggini, Eleftheria %A Scott, Robert A %A Barroso, Inês %A Frayling, Timothy M %A Goodarzi, Mark O %A Meigs, James B %A Boehnke, Michael %A Saleheen, Danish %A Morris, Andrew P %A Rotter, Jerome I %A McCarthy, Mark I %X

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.

%B Nat Genet %V 50 %P 559-571 %8 2018 Apr %G eng %N 4 %R 10.1038/s41588-018-0084-1 %0 Journal Article %J Nat Genet %D 2019 %T A catalog of genetic loci associated with kidney function from analyses of a million individuals. %A Wuttke, Matthias %A Li, Yong %A Li, Man %A Sieber, Karsten B %A Feitosa, Mary F %A Gorski, Mathias %A Tin, Adrienne %A Wang, Lihua %A Chu, Audrey Y %A Hoppmann, Anselm %A Kirsten, Holger %A Giri, Ayush %A Chai, Jin-Fang %A Sveinbjornsson, Gardar %A Tayo, Bamidele O %A Nutile, Teresa %A Fuchsberger, Christian %A Marten, Jonathan %A Cocca, Massimiliano %A Ghasemi, Sahar %A Xu, Yizhe %A Horn, Katrin %A Noce, Damia %A van der Most, Peter J %A Sedaghat, Sanaz %A Yu, Zhi %A Akiyama, Masato %A Afaq, Saima %A Ahluwalia, Tarunveer S %A Almgren, Peter %A Amin, Najaf %A Arnlöv, Johan %A Bakker, Stephan J L %A Bansal, Nisha %A Baptista, Daniela %A Bergmann, Sven %A Biggs, Mary L %A Biino, Ginevra %A Boehnke, Michael %A Boerwinkle, Eric %A Boissel, Mathilde %A Bottinger, Erwin P %A Boutin, Thibaud S %A Brenner, Hermann %A Brumat, Marco %A Burkhardt, Ralph %A Butterworth, Adam S %A Campana, Eric %A Campbell, Archie %A Campbell, Harry %A Canouil, Mickaël %A Carroll, Robert J %A Catamo, Eulalia %A Chambers, John C %A Chee, Miao-Ling %A Chee, Miao-Li %A Chen, Xu %A Cheng, Ching-Yu %A Cheng, Yurong %A Christensen, Kaare %A Cifkova, Renata %A Ciullo, Marina %A Concas, Maria Pina %A Cook, James P %A Coresh, Josef %A Corre, Tanguy %A Sala, Cinzia Felicita %A Cusi, Daniele %A Danesh, John %A Daw, E Warwick %A de Borst, Martin H %A De Grandi, Alessandro %A de Mutsert, Renée %A de Vries, Aiko P J %A Degenhardt, Frauke %A Delgado, Graciela %A Demirkan, Ayse %A Di Angelantonio, Emanuele %A Dittrich, Katalin %A Divers, Jasmin %A Dorajoo, Rajkumar %A Eckardt, Kai-Uwe %A Ehret, Georg %A Elliott, Paul %A Endlich, Karlhans %A Evans, Michele K %A Felix, Janine F %A Foo, Valencia Hui Xian %A Franco, Oscar H %A Franke, Andre %A Freedman, Barry I %A Freitag-Wolf, Sandra %A Friedlander, Yechiel %A Froguel, Philippe %A Gansevoort, Ron T %A Gao, He %A Gasparini, Paolo %A Gaziano, J Michael %A Giedraitis, Vilmantas %A Gieger, Christian %A Girotto, Giorgia %A Giulianini, Franco %A Gögele, Martin %A Gordon, Scott D %A Gudbjartsson, Daniel F %A Gudnason, Vilmundur %A Haller, Toomas %A Hamet, Pavel %A Harris, Tamara B %A Hartman, Catharina A %A Hayward, Caroline %A Hellwege, Jacklyn N %A Heng, Chew-Kiat %A Hicks, Andrew A %A Hofer, Edith %A Huang, Wei %A Hutri-Kähönen, Nina %A Hwang, Shih-Jen %A Ikram, M Arfan %A Indridason, Olafur S %A Ingelsson, Erik %A Ising, Marcus %A Jaddoe, Vincent W V %A Jakobsdottir, Johanna %A Jonas, Jost B %A Joshi, Peter K %A Josyula, Navya Shilpa %A Jung, Bettina %A Kähönen, Mika %A Kamatani, Yoichiro %A Kammerer, Candace M %A Kanai, Masahiro %A Kastarinen, Mika %A Kerr, Shona M %A Khor, Chiea-Chuen %A Kiess, Wieland %A Kleber, Marcus E %A Koenig, Wolfgang %A Kooner, Jaspal S %A Körner, Antje %A Kovacs, Peter %A Kraja, Aldi T %A Krajcoviechova, Alena %A Kramer, Holly %A Krämer, Bernhard K %A Kronenberg, Florian %A Kubo, Michiaki %A Kuhnel, Brigitte %A Kuokkanen, Mikko %A Kuusisto, Johanna %A La Bianca, Martina %A Laakso, Markku %A Lange, Leslie A %A Langefeld, Carl D %A Lee, Jeannette Jen-Mai %A Lehne, Benjamin %A Lehtimäki, Terho %A Lieb, Wolfgang %A Lim, Su-Chi %A Lind, Lars %A Lindgren, Cecilia M %A Liu, Jun %A Liu, Jianjun %A Loeffler, Markus %A Loos, Ruth J F %A Lucae, Susanne %A Lukas, Mary Ann %A Lyytikäinen, Leo-Pekka %A Mägi, Reedik %A Magnusson, Patrik K E %A Mahajan, Anubha %A Martin, Nicholas G %A Martins, Jade %A März, Winfried %A Mascalzoni, Deborah %A Matsuda, Koichi %A Meisinger, Christa %A Meitinger, Thomas %A Melander, Olle %A Metspalu, Andres %A Mikaelsdottir, Evgenia K %A Milaneschi, Yuri %A Miliku, Kozeta %A Mishra, Pashupati P %A Mohlke, Karen L %A Mononen, Nina %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Mychaleckyj, Josyf C %A Nadkarni, Girish N %A Nalls, Mike A %A Nauck, Matthias %A Nikus, Kjell %A Ning, Boting %A Nolte, Ilja M %A Noordam, Raymond %A O'Connell, Jeffrey %A O'Donoghue, Michelle L %A Olafsson, Isleifur %A Oldehinkel, Albertine J %A Orho-Melander, Marju %A Ouwehand, Willem H %A Padmanabhan, Sandosh %A Palmer, Nicholette D %A Palsson, Runolfur %A Penninx, Brenda W J H %A Perls, Thomas %A Perola, Markus %A Pirastu, Mario %A Pirastu, Nicola %A Pistis, Giorgio %A Podgornaia, Anna I %A Polasek, Ozren %A Ponte, Belen %A Porteous, David J %A Poulain, Tanja %A Pramstaller, Peter P %A Preuss, Michael H %A Prins, Bram P %A Province, Michael A %A Rabelink, Ton J %A Raffield, Laura M %A Raitakari, Olli T %A Reilly, Dermot F %A Rettig, Rainer %A Rheinberger, Myriam %A Rice, Kenneth M %A Ridker, Paul M %A Rivadeneira, Fernando %A Rizzi, Federica %A Roberts, David J %A Robino, Antonietta %A Rossing, Peter %A Rudan, Igor %A Rueedi, Rico %A Ruggiero, Daniela %A Ryan, Kathleen A %A Saba, Yasaman %A Sabanayagam, Charumathi %A Salomaa, Veikko %A Salvi, Erika %A Saum, Kai-Uwe %A Schmidt, Helena %A Schmidt, Reinhold %A Schöttker, Ben %A Schulz, Christina-Alexandra %A Schupf, Nicole %A Shaffer, Christian M %A Shi, Yuan %A Smith, Albert V %A Smith, Blair H %A Soranzo, Nicole %A Spracklen, Cassandra N %A Strauch, Konstantin %A Stringham, Heather M %A Stumvoll, Michael %A Svensson, Per O %A Szymczak, Silke %A Tai, E-Shyong %A Tajuddin, Salman M %A Tan, Nicholas Y Q %A Taylor, Kent D %A Teren, Andrej %A Tham, Yih-Chung %A Thiery, Joachim %A Thio, Chris H L %A Thomsen, Hauke %A Thorleifsson, Gudmar %A Toniolo, Daniela %A Tönjes, Anke %A Tremblay, Johanne %A Tzoulaki, Ioanna %A Uitterlinden, André G %A Vaccargiu, Simona %A van Dam, Rob M %A van der Harst, Pim %A van Duijn, Cornelia M %A Velez Edward, Digna R %A Verweij, Niek %A Vogelezang, Suzanne %A Völker, Uwe %A Vollenweider, Peter %A Waeber, Gérard %A Waldenberger, Melanie %A Wallentin, Lars %A Wang, Ya Xing %A Wang, Chaolong %A Waterworth, Dawn M %A Bin Wei, Wen %A White, Harvey %A Whitfield, John B %A Wild, Sarah H %A Wilson, James F %A Wojczynski, Mary K %A Wong, Charlene %A Wong, Tien-Yin %A Xu, Liang %A Yang, Qiong %A Yasuda, Masayuki %A Yerges-Armstrong, Laura M %A Zhang, Weihua %A Zonderman, Alan B %A Rotter, Jerome I %A Bochud, Murielle %A Psaty, Bruce M %A Vitart, Veronique %A Wilson, James G %A Dehghan, Abbas %A Parsa, Afshin %A Chasman, Daniel I %A Ho, Kevin %A Morris, Andrew P %A Devuyst, Olivier %A Akilesh, Shreeram %A Pendergrass, Sarah A %A Sim, Xueling %A Böger, Carsten A %A Okada, Yukinori %A Edwards, Todd L %A Snieder, Harold %A Stefansson, Kari %A Hung, Adriana M %A Heid, Iris M %A Scholz, Markus %A Teumer, Alexander %A Köttgen, Anna %A Pattaro, Cristian %K Chromosome Mapping %K European Continental Ancestry Group %K Genetic Association Studies %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Inheritance Patterns %K Kidney Function Tests %K Phenotype %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Quantitative Trait, Heritable %K Renal Insufficiency, Chronic %K Uromodulin %X

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

%B Nat Genet %V 51 %P 957-972 %8 2019 06 %G eng %N 6 %R 10.1038/s41588-019-0407-x %0 Journal Article %J Am J Epidemiol %D 2019 %T Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. %A de Vries, Paul S %A Brown, Michael R %A Bentley, Amy R %A Sung, Yun J %A Winkler, Thomas W %A Ntalla, Ioanna %A Schwander, Karen %A Kraja, Aldi T %A Guo, Xiuqing %A Franceschini, Nora %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Huffman, Jennifer E %A Musani, Solomon K %A Li, Changwei %A Feitosa, Mary F %A Richard, Melissa A %A Noordam, Raymond %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Deng, Xuan %A Dorajoo, Rajkumar %A Lohman, Kurt K %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Evangelou, Evangelos %A Graff, Mariaelisa %A Alver, Maris %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gandin, Ilaria %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A Hartwig, Fernando P %A He, Meian %A Horimoto, Andrea R V R %A Hsu, Fang-Chi %A Jackson, Anne U %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kuhnel, Brigitte %A Laguzzi, Federica %A Lee, Joseph H %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Matoba, Nana %A Nolte, Ilja M %A Pietzner, Maik %A Riaz, Muhammad %A Said, M Abdullah %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Wang, Yajuan %A Ware, Erin B %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Aung, Tin %A Ballantyne, Christie %A Boerwinkle, Eric %A Broeckel, Ulrich %A Campbell, Archie %A Canouil, Mickaël %A Charumathi, Sabanayagam %A Chen, Yii-Der Ida %A Connell, John M %A de Faire, Ulf %A de Las Fuentes, Lisa %A de Mutsert, Renée %A de Silva, H Janaka %A Ding, Jingzhong %A Dominiczak, Anna F %A Duan, Qing %A Eaton, Charles B %A Eppinga, Ruben N %A Faul, Jessica D %A Fisher, Virginia %A Forrester, Terrence %A Franco, Oscar H %A Friedlander, Yechiel %A Ghanbari, Mohsen %A Giulianini, Franco %A Grabe, Hans J %A Grove, Megan L %A Gu, C Charles %A Harris, Tamara B %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Hixson, James E %A Howard, Barbara V %A Ikram, M Arfan %A Jacobs, David R %A Johnson, Craig %A Jonas, Jost Bruno %A Kammerer, Candace M %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Koistinen, Heikki A %A Kolcic, Ivana %A Kooperberg, Charles %A Krieger, Jose E %A Kritchevsky, Steve B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lemaitre, Rozenn N %A Li, Yize %A Liang, Jingjing %A Liu, Jianjun %A Liu, Kiang %A Loh, Marie %A Louie, Tin %A Mägi, Reedik %A Manichaikul, Ani W %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Mosley, Thomas H %A Mukamal, Kenneth J %A Nalls, Mike A %A Nauck, Matthias %A Nelson, Christopher P %A Sotoodehnia, Nona %A O'Connell, Jeff R %A Palmer, Nicholette D %A Pazoki, Raha %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Poulter, Neil %A Raffel, Leslie J %A Raitakari, Olli T %A Reiner, Alex P %A Rice, Treva K %A Rich, Stephen S %A Robino, Antonietta %A Robinson, Jennifer G %A Rose, Lynda M %A Rudan, Igor %A Schmidt, Carsten O %A Schreiner, Pamela J %A Scott, William R %A Sever, Peter %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Smith, Blair H %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Tan, Nicholas %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Uitterlinden, André G %A van Heemst, Diana %A Vuckovic, Dragana %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Yujie %A Wang, Zhe %A Wei, Wen Bin %A Williams, Christine %A Wilson, Gregory %A Wojczynski, Mary K %A Yao, Jie %A Yu, Bing %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Horta, Bernardo L %A Kamatani, Yoichiro %A Kato, Norihiro %A Kooner, Jaspal S %A Laakso, Markku %A Leander, Karin %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Penninx, Brenda %A Pereira, Alexandre C %A Rauramaa, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wang, Ya Xing %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Zheng, Wei %A Elliott, Paul %A North, Kari E %A Bouchard, Claude %A Evans, Michele K %A Gudnason, Vilmundur %A Liu, Ching-Ti %A Liu, Yongmei %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Kardia, Sharon L R %A Zhu, Xiaofeng %A Rotimi, Charles N %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Liu, Jingmin %A Rotter, Jerome I %A Gauderman, W James %A Province, Michael A %A Munroe, Patricia B %A Rice, Kenneth %A Chasman, Daniel I %A Cupples, L Adrienne %A Rao, Dabeeru C %A Morrison, Alanna C %X

An individual's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multi-ancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in Stage 1 (genome-wide discovery) and 66 studies in Stage 2 (focused follow-up), for a total of 394,584 individuals from five ancestry groups. Genetic main and interaction effects were jointly assessed by a 2 degrees of freedom (DF) test, and a 1 DF test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in Stage 1 and were evaluated in Stage 2, followed by combined analyses of Stage 1 and Stage 2. In the combined analysis of Stage 1 and Stage 2, 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2 DF tests, of which 18 were novel. No genome-wide significant associations were found testing the interaction effect alone. The novel loci included several genes (PCSK5, VEGFB, and A1CF) with a putative role in lipid metabolism based on existing evidence from cellular and experimental models.

%B Am J Epidemiol %8 2019 Jan 29 %G eng %R 10.1093/aje/kwz005 %0 Journal Article %J Nat Genet %D 2019 %T Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. %A Bentley, Amy R %A Sung, Yun J %A Brown, Michael R %A Winkler, Thomas W %A Kraja, Aldi T %A Ntalla, Ioanna %A Schwander, Karen %A Chasman, Daniel I %A Lim, Elise %A Deng, Xuan %A Guo, Xiuqing %A Liu, Jingmin %A Lu, Yingchang %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Huffman, Jennifer E %A Musani, Solomon K %A Li, Changwei %A Feitosa, Mary F %A Richard, Melissa A %A Noordam, Raymond %A Baker, Jenna %A Chen, Guanjie %A Aschard, Hugues %A Bartz, Traci M %A Ding, Jingzhong %A Dorajoo, Rajkumar %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Zhao, Wei %A Graff, Mariaelisa %A Alver, Maris %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Evangelou, Evangelos %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A Hartwig, Fernando P %A He, Meian %A Horimoto, Andrea R V R %A Hsu, Fang-Chi %A Hung, Yi-Jen %A Jackson, Anne U %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kuhnel, Brigitte %A Leander, Karin %A Lin, Keng-Hung %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Matoba, Nana %A Nolte, Ilja M %A Pietzner, Maik %A Prins, Bram %A Riaz, Muhammad %A Robino, Antonietta %A Said, M Abdullah %A Schupf, Nicole %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Wang, Tzung-Dau %A Wang, Yajuan %A Ware, Erin B %A Wen, Wanqing %A Xiang, Yong-Bing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Adeyemo, Adebowale %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Arzumanyan, Zorayr %A Aung, Tin %A Ballantyne, Christie %A Barr, R Graham %A Bielak, Lawrence F %A Boerwinkle, Eric %A Bottinger, Erwin P %A Broeckel, Ulrich %A Brown, Morris %A Cade, Brian E %A Campbell, Archie %A Canouil, Mickaël %A Charumathi, Sabanayagam %A Chen, Yii-Der Ida %A Christensen, Kaare %A Concas, Maria Pina %A Connell, John M %A de Las Fuentes, Lisa %A de Silva, H Janaka %A de Vries, Paul S %A Doumatey, Ayo %A Duan, Qing %A Eaton, Charles B %A Eppinga, Ruben N %A Faul, Jessica D %A Floyd, James S %A Forouhi, Nita G %A Forrester, Terrence %A Friedlander, Yechiel %A Gandin, Ilaria %A Gao, He %A Ghanbari, Mohsen %A Gharib, Sina A %A Gigante, Bruna %A Giulianini, Franco %A Grabe, Hans J %A Gu, C Charles %A Harris, Tamara B %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Hixson, James E %A Ikram, M Arfan %A Jia, Yucheng %A Joehanes, Roby %A Johnson, Craig %A Jonas, Jost Bruno %A Justice, Anne E %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Kolcic, Ivana %A Kooperberg, Charles %A Krieger, Jose E %A Kritchevsky, Stephen B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lewis, Cora E %A Li, Yize %A Liang, Jingjing %A Lin, Shiow %A Liu, Ching-Ti %A Liu, Jianjun %A Liu, Kiang %A Loh, Marie %A Lohman, Kurt K %A Louie, Tin %A Luzzi, Anna %A Mägi, Reedik %A Mahajan, Anubha %A Manichaikul, Ani W %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Momozawa, Yukihide %A Morris, Andrew P %A Murray, Alison D %A Nalls, Mike A %A Nauck, Matthias %A Nelson, Christopher P %A North, Kari E %A O'Connell, Jeffrey R %A Palmer, Nicholette D %A Papanicolau, George J %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Poulter, Neil %A Raitakari, Olli T %A Reiner, Alex P %A Renstrom, Frida %A Rice, Treva K %A Rich, Stephen S %A Robinson, Jennifer G %A Rose, Lynda M %A Rosendaal, Frits R %A Rudan, Igor %A Schmidt, Carsten O %A Schreiner, Pamela J %A Scott, William R %A Sever, Peter %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Stringham, Heather M %A Tan, Nicholas Y Q %A Tang, Hua %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Tiemeier, Henning %A Turner, Stephen T %A Uitterlinden, André G %A van Heemst, Diana %A Waldenberger, Melanie %A Wang, Heming %A Wang, Lan %A Wang, Lihua %A Wei, Wen Bin %A Williams, Christine A %A Wilson, Gregory %A Wojczynski, Mary K %A Yao, Jie %A Young, Kristin %A Yu, Caizheng %A Yuan, Jian-Min %A Zhou, Jie %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Cooper, Richard S %A de Faire, Ulf %A Deary, Ian J %A Elliott, Paul %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Horta, Bernardo L %A Juang, Jyh-Ming Jimmy %A Kamatani, Yoichiro %A Kammerer, Candace M %A Kato, Norihiro %A Kooner, Jaspal S %A Laakso, Markku %A Laurie, Cathy C %A Lee, I-Te %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Pereira, Alexandre C %A Rauramaa, Rainer %A Redline, Susan %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wang, Jun-Sing %A Wang, Ya Xing %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Wu, Tangchun %A Zeggini, Eleftheria %A Zheng, Wei %A Bouchard, Claude %A Evans, Michele K %A Gudnason, Vilmundur %A Kardia, Sharon L R %A Liu, Yongmei %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Province, Michael A %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Loos, Ruth J F %A Franceschini, Nora %A Rotter, Jerome I %A Zhu, Xiaofeng %A Bierut, Laura J %A Gauderman, W James %A Rice, Kenneth %A Munroe, Patricia B %A Morrison, Alanna C %A Rao, Dabeeru C %A Rotimi, Charles N %A Cupples, L Adrienne %X

The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings.

%B Nat Genet %V 51 %P 636-648 %8 2019 Apr %G eng %N 4 %R 10.1038/s41588-019-0378-y %0 Journal Article %J Nat Commun %D 2019 %T Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. %A Kilpeläinen, Tuomas O %A Bentley, Amy R %A Noordam, Raymond %A Sung, Yun Ju %A Schwander, Karen %A Winkler, Thomas W %A Jakupović, Hermina %A Chasman, Daniel I %A Manning, Alisa %A Ntalla, Ioanna %A Aschard, Hugues %A Brown, Michael R %A de Las Fuentes, Lisa %A Franceschini, Nora %A Guo, Xiuqing %A Vojinovic, Dina %A Aslibekyan, Stella %A Feitosa, Mary F %A Kho, Minjung %A Musani, Solomon K %A Richard, Melissa %A Wang, Heming %A Wang, Zhe %A Bartz, Traci M %A Bielak, Lawrence F %A Campbell, Archie %A Dorajoo, Rajkumar %A Fisher, Virginia %A Hartwig, Fernando P %A Horimoto, Andrea R V R %A Li, Changwei %A Lohman, Kurt K %A Marten, Jonathan %A Sim, Xueling %A Smith, Albert V %A Tajuddin, Salman M %A Alver, Maris %A Amini, Marzyeh %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Evangelou, Evangelos %A Gao, Chuan %A Graff, Mariaelisa %A Harris, Sarah E %A He, Meian %A Hsu, Fang-Chi %A Jackson, Anne U %A Zhao, Jing Hua %A Kraja, Aldi T %A Kuhnel, Brigitte %A Laguzzi, Federica %A Lyytikäinen, Leo-Pekka %A Nolte, Ilja M %A Rauramaa, Rainer %A Riaz, Muhammad %A Robino, Antonietta %A Rueedi, Rico %A Stringham, Heather M %A Takeuchi, Fumihiko %A van der Most, Peter J %A Varga, Tibor V %A Verweij, Niek %A Ware, Erin B %A Wen, Wanqing %A Li, Xiaoyin %A Yanek, Lisa R %A Amin, Najaf %A Arnett, Donna K %A Boerwinkle, Eric %A Brumat, Marco %A Cade, Brian %A Canouil, Mickaël %A Chen, Yii-Der Ida %A Concas, Maria Pina %A Connell, John %A de Mutsert, Renée %A de Silva, H Janaka %A de Vries, Paul S %A Demirkan, Ayse %A Ding, Jingzhong %A Eaton, Charles B %A Faul, Jessica D %A Friedlander, Yechiel %A Gabriel, Kelley P %A Ghanbari, Mohsen %A Giulianini, Franco %A Gu, Chi Charles %A Gu, Dongfeng %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hunt, Steven C %A Ikram, M Arfan %A Jonas, Jost B %A Koh, Woon-Puay %A Komulainen, Pirjo %A Krieger, Jose E %A Kritchevsky, Stephen B %A Kutalik, Zoltán %A Kuusisto, Johanna %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Leander, Karin %A Lemaitre, Rozenn N %A Lewis, Cora E %A Liang, Jingjing %A Liu, Jianjun %A Mägi, Reedik %A Manichaikul, Ani %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Mohlke, Karen L %A Mosley, Thomas H %A Murray, Alison D %A Nalls, Mike A %A Nang, Ei-Ei Khaing %A Nelson, Christopher P %A Nona, Sotoodehnia %A Norris, Jill M %A Nwuba, Chiamaka Vivian %A O'Connell, Jeff %A Palmer, Nicholette D %A Papanicolau, George J %A Pazoki, Raha %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Porteous, David J %A Poveda, Alaitz %A Raitakari, Olli T %A Rich, Stephen S %A Risch, Neil %A Robinson, Jennifer G %A Rose, Lynda M %A Rudan, Igor %A Schreiner, Pamela J %A Scott, Robert A %A Sidney, Stephen S %A Sims, Mario %A Smith, Jennifer A %A Snieder, Harold %A Sofer, Tamar %A Starr, John M %A Sternfeld, Barbara %A Strauch, Konstantin %A Tang, Hua %A Taylor, Kent D %A Tsai, Michael Y %A Tuomilehto, Jaakko %A Uitterlinden, André G %A van der Ende, M Yldau %A van Heemst, Diana %A Voortman, Trudy %A Waldenberger, Melanie %A Wennberg, Patrik %A Wilson, Gregory %A Xiang, Yong-Bing %A Yao, Jie %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A de Faire, Ulf %A Deary, Ian J %A Elliott, Paul %A Esko, Tõnu %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Kato, Norihiro %A Laakso, Markku %A Lakka, Timo A %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Samani, Nilesh J %A Shu, Xiao-Ou %A van der Harst, Pim %A van Vliet-Ostaptchouk, Jana V %A Vollenweider, Peter %A Wagenknecht, Lynne E %A Wang, Ya X %A Wareham, Nicholas J %A Weir, David R %A Wu, Tangchun %A Zheng, Wei %A Zhu, Xiaofeng %A Evans, Michele K %A Franks, Paul W %A Gudnason, Vilmundur %A Hayward, Caroline %A Horta, Bernardo L %A Kelly, Tanika N %A Liu, Yongmei %A North, Kari E %A Pereira, Alexandre C %A Ridker, Paul M %A Tai, E Shyong %A van Dam, Rob M %A Fox, Ervin R %A Kardia, Sharon L R %A Liu, Ching-Ti %A Mook-Kanamori, Dennis O %A Province, Michael A %A Redline, Susan %A van Duijn, Cornelia M %A Rotter, Jerome I %A Kooperberg, Charles B %A Gauderman, W James %A Psaty, Bruce M %A Rice, Kenneth %A Munroe, Patricia B %A Fornage, Myriam %A Cupples, L Adrienne %A Rotimi, Charles N %A Morrison, Alanna C %A Rao, Dabeeru C %A Loos, Ruth J F %K Adolescent %K Adult %K African Continental Ancestry Group %K Aged %K Aged, 80 and over %K Asian Continental Ancestry Group %K Brazil %K Calcium-Binding Proteins %K Cholesterol %K Cholesterol, HDL %K Cholesterol, LDL %K European Continental Ancestry Group %K Exercise %K Female %K Genetic Loci %K Genome-Wide Association Study %K Genotype %K Hispanic Americans %K Humans %K LIM-Homeodomain Proteins %K Lipid Metabolism %K Lipids %K Male %K Membrane Proteins %K Microtubule-Associated Proteins %K Middle Aged %K Muscle Proteins %K Nerve Tissue Proteins %K Transcription Factors %K Triglycerides %K Young Adult %X

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

%B Nat Commun %V 10 %P 376 %8 2019 01 22 %G eng %N 1 %R 10.1038/s41467-018-08008-w %0 Journal Article %J Diabetes %D 2020 %T Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity. %A Yaghootkar, Hanieh %A Zhang, Yiying %A Spracklen, Cassandra N %A Karaderi, Tugce %A Huang, Lam Opal %A Bradfield, Jonathan %A Schurmann, Claudia %A Fine, Rebecca S %A Preuss, Michael H %A Kutalik, Zoltán %A Wittemans, Laura Bl %A Lu, Yingchang %A Metz, Sophia %A Willems, Sara M %A Li-Gao, Ruifang %A Grarup, Niels %A Wang, Shuai %A Molnos, Sophie %A Sandoval-Zárate, América A %A Nalls, Mike A %A Lange, Leslie A %A Haesser, Jeffrey %A Guo, Xiuqing %A Lyytikäinen, Leo-Pekka %A Feitosa, Mary F %A Sitlani, Colleen M %A Venturini, Cristina %A Mahajan, Anubha %A Kacprowski, Tim %A Wang, Carol A %A Chasman, Daniel I %A Amin, Najaf %A Broer, Linda %A Robertson, Neil %A Young, Kristin L %A Allison, Matthew %A Auer, Paul L %A Blüher, Matthias %A Borja, Judith B %A Bork-Jensen, Jette %A Carrasquilla, Germán D %A Christofidou, Paraskevi %A Demirkan, Ayse %A Doege, Claudia A %A Garcia, Melissa E %A Graff, Mariaelisa %A Guo, Kaiying %A Hakonarson, Hakon %A Hong, Jaeyoung %A Ida Chen, Yii-Der %A Jackson, Rebecca %A Jakupović, Hermina %A Jousilahti, Pekka %A Justice, Anne E %A Kähönen, Mika %A Kizer, Jorge R %A Kriebel, Jennifer %A LeDuc, Charles A %A Li, Jin %A Lind, Lars %A Luan, Jian'an %A Mackey, David %A Mangino, Massimo %A Männistö, Satu %A Martin Carli, Jayne F %A Medina-Gómez, Carolina %A Mook-Kanamori, Dennis O %A Morris, Andrew P %A de Mutsert, Renée %A Nauck, Matthias %A Nedeljkovic, Ivana %A Pennell, Craig E %A Pradhan, Arund D %A Psaty, Bruce M %A Raitakari, Olli T %A Scott, Robert A %A Skaaby, Tea %A Strauch, Konstantin %A Taylor, Kent D %A Teumer, Alexander %A Uitterlinden, André G %A Wu, Ying %A Yao, Jie %A Walker, Mark %A North, Kari E %A Kovacs, Peter %A Ikram, M Arfan %A van Duijn, Cornelia M %A Ridker, Paul M %A Lye, Stephen %A Homuth, Georg %A Ingelsson, Erik %A Spector, Tim D %A McKnight, Barbara %A Province, Michael A %A Lehtimäki, Terho %A Adair, Linda S %A Rotter, Jerome I %A Reiner, Alexander P %A Wilson, James G %A Harris, Tamara B %A Ripatti, Samuli %A Grallert, Harald %A Meigs, James B %A Salomaa, Veikko %A Hansen, Torben %A Willems van Dijk, Ko %A Wareham, Nicholas J %A Grant, Struan Fa %A Langenberg, Claudia %A Frayling, Timothy M %A Lindgren, Cecilia M %A Mohlke, Karen L %A Leibel, Rudolph L %A Loos, Ruth Jf %A Kilpeläinen, Tuomas O %X

Leptin influences food intake by informing the brain about the status of body fat stores. Rare mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We identify five novel variants, including four missense variants, in , and , and one intergenic variant near The missense variant Val94Met (rs17151919) in was common in individuals of African ancestry only and its association with lower leptin concentrations was specific to this ancestry (P=2x10, n=3,901). Using analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting leptin regulates early adiposity.

%B Diabetes %8 2020 Sep 11 %G eng %R 10.2337/db20-0070 %0 Journal Article %J Circ Genom Precis Med %D 2020 %T Role of Rare and Low-Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels. %A Wang, Zhe %A Chen, Han %A Bartz, Traci M %A Bielak, Lawrence F %A Chasman, Daniel I %A Feitosa, Mary F %A Franceschini, Nora %A Guo, Xiuqing %A Lim, Elise %A Noordam, Raymond %A Richard, Melissa A %A Wang, Heming %A Cade, Brian %A Cupples, L Adrienne %A de Vries, Paul S %A Giulanini, Franco %A Lee, Jiwon %A Lemaitre, Rozenn N %A Martin, Lisa W %A Reiner, Alex P %A Rich, Stephen S %A Schreiner, Pamela J %A Sidney, Stephen %A Sitlani, Colleen M %A Smith, Jennifer A %A Willems van Dijk, Ko %A Yao, Jie %A Zhao, Wei %A Fornage, Myriam %A Kardia, Sharon L R %A Kooperberg, Charles %A Liu, Ching-Ti %A Mook-Kanamori, Dennis O %A Province, Michael A %A Psaty, Bruce M %A Redline, Susan %A Ridker, Paul M %A Rotter, Jerome I %A Boerwinkle, Eric %A Morrison, Alanna C %X

BACKGROUND: Alcohol intake influences plasma lipid levels, and such effects may be moderated by genetic variants. We aimed to characterize the role of aggregated rare and low-frequency protein-coding variants in gene by alcohol consumption interactions associated with fasting plasma lipid levels.

METHODS: In the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, fasting plasma triglycerides and high- and low-density lipoprotein cholesterol were measured in 34 153 individuals with European ancestry from 5 discovery studies and 32 277 individuals from 6 replication studies. Rare and low-frequency functional protein-coding variants (minor allele frequency, ≤5%) measured by an exome array were aggregated by genes and evaluated by a gene-environment interaction test and a joint test of genetic main and gene-environment interaction effects. Two dichotomous self-reported alcohol consumption variables, current drinker, defined as any recurrent drinking behavior, and regular drinker, defined as the subset of current drinkers who consume at least 2 drinks per week, were considered.

RESULTS: We discovered and replicated 21 gene-lipid associations at 13 known lipid loci through the joint test. Eight loci (, , , , , , , and ) remained significant after conditioning on the common index single-nucleotide polymorphism identified by previous genome-wide association studies, suggesting an independent role for rare and low-frequency variants at these loci. One significant gene-alcohol interaction on triglycerides in a novel locus was significantly discovered (=6.65×10 for the interaction test) and replicated at nominal significance level (=0.013) in .

CONCLUSIONS: In conclusion, this study applied new gene-based statistical approaches and suggested that rare and low-frequency genetic variants interacted with alcohol consumption on lipid levels.

%B Circ Genom Precis Med %V 13 %P e002772 %8 2020 Aug %G eng %N 4 %R 10.1161/CIRCGEN.119.002772 %0 Journal Article %J Commun Biol %D 2022 %T Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals. %A Winkler, Thomas W %A Rasheed, Humaira %A Teumer, Alexander %A Gorski, Mathias %A Rowan, Bryce X %A Stanzick, Kira J %A Thomas, Laurent F %A Tin, Adrienne %A Hoppmann, Anselm %A Chu, Audrey Y %A Tayo, Bamidele %A Thio, Chris H L %A Cusi, Daniele %A Chai, Jin-Fang %A Sieber, Karsten B %A Horn, Katrin %A Li, Man %A Scholz, Markus %A Cocca, Massimiliano %A Wuttke, Matthias %A van der Most, Peter J %A Yang, Qiong %A Ghasemi, Sahar %A Nutile, Teresa %A Li, Yong %A Pontali, Giulia %A Günther, Felix %A Dehghan, Abbas %A Correa, Adolfo %A Parsa, Afshin %A Feresin, Agnese %A de Vries, Aiko P J %A Zonderman, Alan B %A Smith, Albert V %A Oldehinkel, Albertine J %A De Grandi, Alessandro %A Rosenkranz, Alexander R %A Franke, Andre %A Teren, Andrej %A Metspalu, Andres %A Hicks, Andrew A %A Morris, Andrew P %A Tönjes, Anke %A Morgan, Anna %A Podgornaia, Anna I %A Peters, Annette %A Körner, Antje %A Mahajan, Anubha %A Campbell, Archie %A Freedman, Barry I %A Spedicati, Beatrice %A Ponte, Belen %A Schöttker, Ben %A Brumpton, Ben %A Banas, Bernhard %A Krämer, Bernhard K %A Jung, Bettina %A Åsvold, Bjørn Olav %A Smith, Blair H %A Ning, Boting %A Penninx, Brenda W J H %A Vanderwerff, Brett R %A Psaty, Bruce M %A Kammerer, Candace M %A Langefeld, Carl D %A Hayward, Caroline %A Spracklen, Cassandra N %A Robinson-Cohen, Cassianne %A Hartman, Catharina A %A Lindgren, Cecilia M %A Wang, Chaolong %A Sabanayagam, Charumathi %A Heng, Chew-Kiat %A Lanzani, Chiara %A Khor, Chiea-Chuen %A Cheng, Ching-Yu %A Fuchsberger, Christian %A Gieger, Christian %A Shaffer, Christian M %A Schulz, Christina-Alexandra %A Willer, Cristen J %A Chasman, Daniel I %A Gudbjartsson, Daniel F %A Ruggiero, Daniela %A Toniolo, Daniela %A Czamara, Darina %A Porteous, David J %A Waterworth, Dawn M %A Mascalzoni, Deborah %A Mook-Kanamori, Dennis O %A Reilly, Dermot F %A Daw, E Warwick %A Hofer, Edith %A Boerwinkle, Eric %A Salvi, Erika %A Bottinger, Erwin P %A Tai, E-Shyong %A Catamo, Eulalia %A Rizzi, Federica %A Guo, Feng %A Rivadeneira, Fernando %A Guilianini, Franco %A Sveinbjornsson, Gardar %A Ehret, Georg %A Waeber, Gérard %A Biino, Ginevra %A Girotto, Giorgia %A Pistis, Giorgio %A Nadkarni, Girish N %A Delgado, Graciela E %A Montgomery, Grant W %A Snieder, Harold %A Campbell, Harry %A White, Harvey D %A Gao, He %A Stringham, Heather M %A Schmidt, Helena %A Li, Hengtong %A Brenner, Hermann %A Holm, Hilma %A Kirsten, Holgen %A Kramer, Holly %A Rudan, Igor %A Nolte, Ilja M %A Tzoulaki, Ioanna %A Olafsson, Isleifur %A Martins, Jade %A Cook, James P %A Wilson, James F %A Halbritter, Jan %A Felix, Janine F %A Divers, Jasmin %A Kooner, Jaspal S %A Lee, Jeannette Jen-Mai %A O'Connell, Jeffrey %A Rotter, Jerome I %A Liu, Jianjun %A Xu, Jie %A Thiery, Joachim %A Arnlöv, Johan %A Kuusisto, Johanna %A Jakobsdottir, Johanna %A Tremblay, Johanne %A Chambers, John C %A Whitfield, John B %A Gaziano, John M %A Marten, Jonathan %A Coresh, Josef %A Jonas, Jost B %A Mychaleckyj, Josyf C %A Christensen, Kaare %A Eckardt, Kai-Uwe %A Mohlke, Karen L %A Endlich, Karlhans %A Dittrich, Katalin %A Ryan, Kathleen A %A Rice, Kenneth M %A Taylor, Kent D %A Ho, Kevin %A Nikus, Kjell %A Matsuda, Koichi %A Strauch, Konstantin %A Miliku, Kozeta %A Hveem, Kristian %A Lind, Lars %A Wallentin, Lars %A Yerges-Armstrong, Laura M %A Raffield, Laura M %A Phillips, Lawrence S %A Launer, Lenore J %A Lyytikäinen, Leo-Pekka %A Lange, Leslie A %A Citterio, Lorena %A Klaric, Lucija %A Ikram, M Arfan %A Ising, Marcus %A Kleber, Marcus E %A Francescatto, Margherita %A Concas, Maria Pina %A Ciullo, Marina %A Piratsu, Mario %A Orho-Melander, Marju %A Laakso, Markku %A Loeffler, Markus %A Perola, Markus %A de Borst, Martin H %A Gögele, Martin %A Bianca, Martina La %A Lukas, Mary Ann %A Feitosa, Mary F %A Biggs, Mary L %A Wojczynski, Mary K %A Kavousi, Maryam %A Kanai, Masahiro %A Akiyama, Masato %A Yasuda, Masayuki %A Nauck, Matthias %A Waldenberger, Melanie %A Chee, Miao-Li %A Chee, Miao-Ling %A Boehnke, Michael %A Preuss, Michael H %A Stumvoll, Michael %A Province, Michael A %A Evans, Michele K %A O'Donoghue, Michelle L %A Kubo, Michiaki %A Kähönen, Mika %A Kastarinen, Mika %A Nalls, Mike A %A Kuokkanen, Mikko %A Ghanbari, Mohsen %A Bochud, Murielle %A Josyula, Navya Shilpa %A Martin, Nicholas G %A Tan, Nicholas Y Q %A Palmer, Nicholette D %A Pirastu, Nicola %A Schupf, Nicole %A Verweij, Niek %A Hutri-Kähönen, Nina %A Mononen, Nina %A Bansal, Nisha %A Devuyst, Olivier %A Melander, Olle %A Raitakari, Olli T %A Polasek, Ozren %A Manunta, Paolo %A Gasparini, Paolo %A Mishra, Pashupati P %A Sulem, Patrick %A Magnusson, Patrik K E %A Elliott, Paul %A Ridker, Paul M %A Hamet, Pavel %A Svensson, Per O %A Joshi, Peter K %A Kovacs, Peter %A Pramstaller, Peter P %A Rossing, Peter %A Vollenweider, Peter %A van der Harst, Pim %A Dorajoo, Rajkumar %A Sim, Ralene Z H %A Burkhardt, Ralph %A Tao, Ran %A Noordam, Raymond %A Mägi, Reedik %A Schmidt, Reinhold %A de Mutsert, Renée %A Rueedi, Rico %A van Dam, Rob M %A Carroll, Robert J %A Gansevoort, Ron T %A Loos, Ruth J F %A Felicita, Sala Cinzia %A Sedaghat, Sanaz %A Padmanabhan, Sandosh %A Freitag-Wolf, Sandra %A Pendergrass, Sarah A %A Graham, Sarah E %A Gordon, Scott D %A Hwang, Shih-Jen %A Kerr, Shona M %A Vaccargiu, Simona %A Patil, Snehal B %A Hallan, Stein %A Bakker, Stephan J L %A Lim, Su-Chi %A Lucae, Susanne %A Vogelezang, Suzanne %A Bergmann, Sven %A Corre, Tanguy %A Ahluwalia, Tarunveer S %A Lehtimäki, Terho %A Boutin, Thibaud S %A Meitinger, Thomas %A Wong, Tien-Yin %A Bergler, Tobias %A Rabelink, Ton J %A Esko, Tõnu %A Haller, Toomas %A Thorsteinsdottir, Unnur %A Völker, Uwe %A Foo, Valencia Hui Xian %A Salomaa, Veikko %A Vitart, Veronique %A Giedraitis, Vilmantas %A Gudnason, Vilmundur %A Jaddoe, Vincent W V %A Huang, Wei %A Zhang, Weihua %A Wei, Wen Bin %A Kiess, Wieland %A März, Winfried %A Koenig, Wolfgang %A Lieb, Wolfgang %A Gào, Xīn %A Sim, Xueling %A Wang, Ya Xing %A Friedlander, Yechiel %A Tham, Yih-Chung %A Kamatani, Yoichiro %A Okada, Yukinori %A Milaneschi, Yuri %A Yu, Zhi %A Stark, Klaus J %A Stefansson, Kari %A Böger, Carsten A %A Hung, Adriana M %A Kronenberg, Florian %A Köttgen, Anna %A Pattaro, Cristian %A Heid, Iris M %K Creatinine %K Diabetes Mellitus %K Diabetic Nephropathies %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Kidney %X

Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (n = 178,691, n = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.

%B Commun Biol %V 5 %P 580 %8 2022 Jun 13 %G eng %N 1 %R 10.1038/s42003-022-03448-z %0 Journal Article %J Nat Genet %D 2022 %T Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. %A Mahajan, Anubha %A Spracklen, Cassandra N %A Zhang, Weihua %A Ng, Maggie C Y %A Petty, Lauren E %A Kitajima, Hidetoshi %A Yu, Grace Z %A Rüeger, Sina %A Speidel, Leo %A Kim, Young Jin %A Horikoshi, Momoko %A Mercader, Josep M %A Taliun, Daniel %A Moon, Sanghoon %A Kwak, Soo-Heon %A Robertson, Neil R %A Rayner, Nigel W %A Loh, Marie %A Kim, Bong-Jo %A Chiou, Joshua %A Miguel-Escalada, Irene %A Della Briotta Parolo, Pietro %A Lin, Kuang %A Bragg, Fiona %A Preuss, Michael H %A Takeuchi, Fumihiko %A Nano, Jana %A Guo, Xiuqing %A Lamri, Amel %A Nakatochi, Masahiro %A Scott, Robert A %A Lee, Jung-Jin %A Huerta-Chagoya, Alicia %A Graff, Mariaelisa %A Chai, Jin-Fang %A Parra, Esteban J %A Yao, Jie %A Bielak, Lawrence F %A Tabara, Yasuharu %A Hai, Yang %A Steinthorsdottir, Valgerdur %A Cook, James P %A Kals, Mart %A Grarup, Niels %A Schmidt, Ellen M %A Pan, Ian %A Sofer, Tamar %A Wuttke, Matthias %A Sarnowski, Chloe %A Gieger, Christian %A Nousome, Darryl %A Trompet, Stella %A Long, Jirong %A Sun, Meng %A Tong, Lin %A Chen, Wei-Min %A Ahmad, Meraj %A Noordam, Raymond %A Lim, Victor J Y %A Tam, Claudia H T %A Joo, Yoonjung Yoonie %A Chen, Chien-Hsiun %A Raffield, Laura M %A Lecoeur, Cécile %A Prins, Bram Peter %A Nicolas, Aude %A Yanek, Lisa R %A Chen, Guanjie %A Jensen, Richard A %A Tajuddin, Salman %A Kabagambe, Edmond K %A An, Ping %A Xiang, Anny H %A Choi, Hyeok Sun %A Cade, Brian E %A Tan, Jingyi %A Flanagan, Jack %A Abaitua, Fernando %A Adair, Linda S %A Adeyemo, Adebowale %A Aguilar-Salinas, Carlos A %A Akiyama, Masato %A Anand, Sonia S %A Bertoni, Alain %A Bian, Zheng %A Bork-Jensen, Jette %A Brandslund, Ivan %A Brody, Jennifer A %A Brummett, Chad M %A Buchanan, Thomas A %A Canouil, Mickaël %A Chan, Juliana C N %A Chang, Li-Ching %A Chee, Miao-Li %A Chen, Ji %A Chen, Shyh-Huei %A Chen, Yuan-Tsong %A Chen, Zhengming %A Chuang, Lee-Ming %A Cushman, Mary %A Das, Swapan K %A de Silva, H Janaka %A Dedoussis, George %A Dimitrov, Latchezar %A Doumatey, Ayo P %A Du, Shufa %A Duan, Qing %A Eckardt, Kai-Uwe %A Emery, Leslie S %A Evans, Daniel S %A Evans, Michele K %A Fischer, Krista %A Floyd, James S %A Ford, Ian %A Fornage, Myriam %A Franco, Oscar H %A Frayling, Timothy M %A Freedman, Barry I %A Fuchsberger, Christian %A Genter, Pauline %A Gerstein, Hertzel C %A Giedraitis, Vilmantas %A González-Villalpando, Clicerio %A Gonzalez-Villalpando, Maria Elena %A Goodarzi, Mark O %A Gordon-Larsen, Penny %A Gorkin, David %A Gross, Myron %A Guo, Yu %A Hackinger, Sophie %A Han, Sohee %A Hattersley, Andrew T %A Herder, Christian %A Howard, Annie-Green %A Hsueh, Willa %A Huang, Mengna %A Huang, Wei %A Hung, Yi-Jen %A Hwang, Mi Yeong %A Hwu, Chii-Min %A Ichihara, Sahoko %A Ikram, Mohammad Arfan %A Ingelsson, Martin %A Islam, Md Tariqul %A Isono, Masato %A Jang, Hye-Mi %A Jasmine, Farzana %A Jiang, Guozhi %A Jonas, Jost B %A Jørgensen, Marit E %A Jørgensen, Torben %A Kamatani, Yoichiro %A Kandeel, Fouad R %A Kasturiratne, Anuradhani %A Katsuya, Tomohiro %A Kaur, Varinderpal %A Kawaguchi, Takahisa %A Keaton, Jacob M %A Kho, Abel N %A Khor, Chiea-Chuen %A Kibriya, Muhammad G %A Kim, Duk-Hwan %A Kohara, Katsuhiko %A Kriebel, Jennifer %A Kronenberg, Florian %A Kuusisto, Johanna %A Läll, Kristi %A Lange, Leslie A %A Lee, Myung-Shik %A Lee, Nanette R %A Leong, Aaron %A Li, Liming %A Li, Yun %A Li-Gao, Ruifang %A Ligthart, Symen %A Lindgren, Cecilia M %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Jianjun %A Locke, Adam E %A Louie, Tin %A Luan, Jian'an %A Luk, Andrea O %A Luo, Xi %A Lv, Jun %A Lyssenko, Valeriya %A Mamakou, Vasiliki %A Mani, K Radha %A Meitinger, Thomas %A Metspalu, Andres %A Morris, Andrew D %A Nadkarni, Girish N %A Nadler, Jerry L %A Nalls, Michael A %A Nayak, Uma %A Nongmaithem, Suraj S %A Ntalla, Ioanna %A Okada, Yukinori %A Orozco, Lorena %A Patel, Sanjay R %A Pereira, Mark A %A Peters, Annette %A Pirie, Fraser J %A Porneala, Bianca %A Prasad, Gauri %A Preissl, Sebastian %A Rasmussen-Torvik, Laura J %A Reiner, Alexander P %A Roden, Michael %A Rohde, Rebecca %A Roll, Kathryn %A Sabanayagam, Charumathi %A Sander, Maike %A Sandow, Kevin %A Sattar, Naveed %A Schönherr, Sebastian %A Schurmann, Claudia %A Shahriar, Mohammad %A Shi, Jinxiu %A Shin, Dong Mun %A Shriner, Daniel %A Smith, Jennifer A %A So, Wing Yee %A Stančáková, Alena %A Stilp, Adrienne M %A Strauch, Konstantin %A Suzuki, Ken %A Takahashi, Atsushi %A Taylor, Kent D %A Thorand, Barbara %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Tomlinson, Brian %A Torres, Jason M %A Tsai, Fuu-Jen %A Tuomilehto, Jaakko %A Tusié-Luna, Teresa %A Udler, Miriam S %A Valladares-Salgado, Adan %A van Dam, Rob M %A van Klinken, Jan B %A Varma, Rohit %A Vujkovic, Marijana %A Wacher-Rodarte, Niels %A Wheeler, Eleanor %A Whitsel, Eric A %A Wickremasinghe, Ananda R %A van Dijk, Ko Willems %A Witte, Daniel R %A Yajnik, Chittaranjan S %A Yamamoto, Ken %A Yamauchi, Toshimasa %A Yengo, Loic %A Yoon, Kyungheon %A Yu, Canqing %A Yuan, Jian-Min %A Yusuf, Salim %A Zhang, Liang %A Zheng, Wei %A Raffel, Leslie J %A Igase, Michiya %A Ipp, Eli %A Redline, Susan %A Cho, Yoon Shin %A Lind, Lars %A Province, Michael A %A Hanis, Craig L %A Peyser, Patricia A %A Ingelsson, Erik %A Zonderman, Alan B %A Psaty, Bruce M %A Wang, Ya-Xing %A Rotimi, Charles N %A Becker, Diane M %A Matsuda, Fumihiko %A Liu, Yongmei %A Zeggini, Eleftheria %A Yokota, Mitsuhiro %A Rich, Stephen S %A Kooperberg, Charles %A Pankow, James S %A Engert, James C %A Chen, Yii-Der Ida %A Froguel, Philippe %A Wilson, James G %A Sheu, Wayne H H %A Kardia, Sharon L R %A Wu, Jer-Yuarn %A Hayes, M Geoffrey %A Ma, Ronald C W %A Wong, Tien-Yin %A Groop, Leif %A Mook-Kanamori, Dennis O %A Chandak, Giriraj R %A Collins, Francis S %A Bharadwaj, Dwaipayan %A Paré, Guillaume %A Sale, Michèle M %A Ahsan, Habibul %A Motala, Ayesha A %A Shu, Xiao-Ou %A Park, Kyong-Soo %A Jukema, J Wouter %A Cruz, Miguel %A McKean-Cowdin, Roberta %A Grallert, Harald %A Cheng, Ching-Yu %A Bottinger, Erwin P %A Dehghan, Abbas %A Tai, E-Shyong %A Dupuis, Josée %A Kato, Norihiro %A Laakso, Markku %A Köttgen, Anna %A Koh, Woon-Puay %A Palmer, Colin N A %A Liu, Simin %A Abecasis, Goncalo %A Kooner, Jaspal S %A Loos, Ruth J F %A North, Kari E %A Haiman, Christopher A %A Florez, Jose C %A Saleheen, Danish %A Hansen, Torben %A Pedersen, Oluf %A Mägi, Reedik %A Langenberg, Claudia %A Wareham, Nicholas J %A Maeda, Shiro %A Kadowaki, Takashi %A Lee, Juyoung %A Millwood, Iona Y %A Walters, Robin G %A Stefansson, Kari %A Myers, Simon R %A Ferrer, Jorge %A Gaulton, Kyle J %A Meigs, James B %A Mohlke, Karen L %A Gloyn, Anna L %A Bowden, Donald W %A Below, Jennifer E %A Chambers, John C %A Sim, Xueling %A Boehnke, Michael %A Rotter, Jerome I %A McCarthy, Mark I %A Morris, Andrew P %K Diabetes Mellitus, Type 2 %K Ethnicity %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Polymorphism, Single Nucleotide %K Risk Factors %X

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 < 5 × 10), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >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.

%B Nat Genet %V 54 %P 560-572 %8 2022 May %G eng %N 5 %R 10.1038/s41588-022-01058-3 %0 Journal Article %J medRxiv %D 2023 %T Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. %A Suzuki, Ken %A Hatzikotoulas, Konstantinos %A Southam, Lorraine %A Taylor, Henry J %A Yin, Xianyong %A Lorenz, Kim M %A Mandla, Ravi %A Huerta-Chagoya, Alicia %A Rayner, Nigel W %A Bocher, Ozvan %A Ana Luiza de, S V Arruda %A Sonehara, Kyuto %A Namba, Shinichi %A Lee, Simon S K %A Preuss, Michael H %A Petty, Lauren E %A Schroeder, Philip %A Vanderwerff, Brett %A Kals, Mart %A Bragg, Fiona %A Lin, Kuang %A Guo, Xiuqing %A Zhang, Weihua %A Yao, Jie %A Kim, Young Jin %A Graff, Mariaelisa %A Takeuchi, Fumihiko %A Nano, Jana %A Lamri, Amel %A Nakatochi, Masahiro %A Moon, Sanghoon %A Scott, Robert A %A Cook, James P %A Lee, Jung-Jin %A Pan, Ian %A Taliun, Daniel %A Parra, Esteban J %A Chai, Jin-Fang %A Bielak, Lawrence F %A Tabara, Yasuharu %A Hai, Yang %A Thorleifsson, Gudmar %A Grarup, Niels %A Sofer, Tamar %A Wuttke, Matthias %A Sarnowski, Chloe %A Gieger, Christian %A Nousome, Darryl %A Trompet, Stella %A Kwak, Soo-Heon %A Long, Jirong %A Sun, Meng %A Tong, Lin %A Chen, Wei-Min %A Nongmaithem, Suraj S %A Noordam, Raymond %A Lim, Victor J Y %A Tam, Claudia H T %A Joo, Yoonjung Yoonie %A Chen, Chien-Hsiun %A Raffield, Laura M %A Prins, Bram Peter %A Nicolas, Aude %A Yanek, Lisa R %A Chen, Guanjie %A Brody, Jennifer A %A Kabagambe, Edmond %A An, Ping %A Xiang, Anny H %A Choi, Hyeok Sun %A Cade, Brian E %A Tan, Jingyi %A Alaine Broadaway, K %A Williamson, Alice %A Kamali, Zoha %A Cui, Jinrui %A Adair, Linda S %A Adeyemo, Adebowale %A Aguilar-Salinas, Carlos A %A Ahluwalia, Tarunveer S %A Anand, Sonia S %A Bertoni, Alain %A Bork-Jensen, Jette %A Brandslund, Ivan %A Buchanan, Thomas A %A Burant, Charles F %A Butterworth, Adam S %A Canouil, Mickaël %A Chan, Juliana C N %A Chang, Li-Ching %A Chee, Miao-Li %A Chen, Ji %A Chen, Shyh-Huei %A Chen, Yuan-Tsong %A Chen, Zhengming %A Chuang, Lee-Ming %A Cushman, Mary %A Danesh, John %A Das, Swapan K %A Janaka de Silva, H %A Dedoussis, George %A Dimitrov, Latchezar %A Doumatey, Ayo P %A Du, Shufa %A Duan, Qing %A Eckardt, Kai-Uwe %A Emery, Leslie S %A Evans, Daniel S %A Evans, Michele K %A Fischer, Krista %A Floyd, James S %A Ford, Ian %A Franco, Oscar H %A Frayling, Timothy M %A Freedman, Barry I %A Genter, Pauline %A Gerstein, Hertzel C %A Giedraitis, Vilmantas %A González-Villalpando, Clicerio %A Gonzalez-Villalpando, Maria Elena %A Gordon-Larsen, Penny %A Gross, Myron %A Guare, Lindsay A %A Hackinger, Sophie %A Han, Sohee %A Hattersley, Andrew T %A Herder, Christian %A Horikoshi, Momoko %A Howard, Annie-Green %A Hsueh, Willa %A Huang, Mengna %A Huang, Wei %A Hung, Yi-Jen %A Hwang, Mi Yeong %A Hwu, Chii-Min %A Ichihara, Sahoko %A Ikram, Mohammad Arfan %A Ingelsson, Martin %A Islam, Md Tariqul %A Isono, Masato %A Jang, Hye-Mi %A Jasmine, Farzana %A Jiang, Guozhi %A Jonas, Jost B %A Jørgensen, Torben %A Kandeel, Fouad R %A Kasturiratne, Anuradhani %A Katsuya, Tomohiro %A Kaur, Varinderpal %A Kawaguchi, Takahisa %A Keaton, Jacob M %A Kho, Abel N %A Khor, Chiea-Chuen %A Kibriya, Muhammad G %A Kim, Duk-Hwan %A Kronenberg, Florian %A Kuusisto, Johanna %A Läll, Kristi %A Lange, Leslie A %A Lee, Kyung Min %A Lee, Myung-Shik %A Lee, Nanette R %A Leong, Aaron %A Li, Liming %A Li, Yun %A Li-Gao, Ruifang %A Lithgart, Symen %A Lindgren, Cecilia M %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Jianjun %A Locke, Adam E %A Louie, Tin %A Luan, Jian'an %A Luk, Andrea O %A Luo, Xi %A Lv, Jun %A Lynch, Julie A %A Lyssenko, Valeriya %A Maeda, Shiro %A Mamakou, Vasiliki %A Mansuri, Sohail Rafik %A Matsuda, Koichi %A Meitinger, Thomas %A Metspalu, Andres %A Mo, Huan %A Morris, Andrew D %A Nadler, Jerry L %A Nalls, Michael A %A Nayak, Uma %A Ntalla, Ioanna %A Okada, Yukinori %A Orozco, Lorena %A Patel, Sanjay R %A Patil, Snehal %A Pei, Pei %A Pereira, Mark A %A Peters, Annette %A Pirie, Fraser J %A Polikowsky, Hannah G %A Porneala, Bianca %A Prasad, Gauri %A Rasmussen-Torvik, Laura J %A Reiner, Alexander P %A Roden, Michael %A Rohde, Rebecca %A Roll, Katheryn %A Sabanayagam, Charumathi %A Sandow, Kevin %A Sankareswaran, Alagu %A Sattar, Naveed %A Schönherr, Sebastian %A Shahriar, Mohammad %A Shen, Botong %A Shi, Jinxiu %A Shin, Dong Mun %A Shojima, Nobuhiro %A Smith, Jennifer A %A So, Wing Yee %A Stančáková, Alena %A Steinthorsdottir, Valgerdur %A Stilp, Adrienne M %A Strauch, Konstantin %A Taylor, Kent D %A Thorand, Barbara %A Thorsteinsdottir, Unnur %A Tomlinson, Brian %A Tran, Tam C %A Tsai, Fuu-Jen %A Tuomilehto, Jaakko %A Tusié-Luna, Teresa %A Udler, Miriam S %A Valladares-Salgado, Adan %A van Dam, Rob M %A van Klinken, Jan B %A Varma, Rohit %A Wacher-Rodarte, Niels %A Wheeler, Eleanor %A Wickremasinghe, Ananda R %A van Dijk, Ko Willems %A Witte, Daniel R %A Yajnik, Chittaranjan S %A Yamamoto, Ken %A Yamamoto, Kenichi %A Yoon, Kyungheon %A Yu, Canqing %A Yuan, Jian-Min %A Yusuf, Salim %A Zawistowski, Matthew %A Zhang, Liang %A Zheng, Wei %A Project, Biobank Japan %A BioBank, Penn Medicine %A Center, Regeneron Genetics %A Consortium, eMERGE %A Raffel, Leslie J %A Igase, Michiya %A Ipp, Eli %A Redline, Susan %A Cho, Yoon Shin %A Lind, Lars %A Province, Michael A %A Fornage, Myriam %A Hanis, Craig L %A Ingelsson, Erik %A Zonderman, Alan B %A Psaty, Bruce M %A Wang, Ya-Xing %A Rotimi, Charles N %A Becker, Diane M %A Matsuda, Fumihiko %A Liu, Yongmei %A Yokota, Mitsuhiro %A Kardia, Sharon L R %A Peyser, Patricia A %A Pankow, James S %A Engert, James C %A Bonnefond, Amélie %A Froguel, Philippe %A Wilson, James G %A Sheu, Wayne H H %A Wu, Jer-Yuarn %A Geoffrey Hayes, M %A Ma, Ronald C W %A Wong, Tien-Yin %A Mook-Kanamori, Dennis O %A Tuomi, Tiinamaija %A Chandak, Giriraj R %A Collins, Francis S %A Bharadwaj, Dwaipayan %A Paré, Guillaume %A Sale, Michèle M %A Ahsan, Habibul %A Motala, Ayesha A %A Shu, Xiao-Ou %A Park, Kyong-Soo %A Jukema, J Wouter %A Cruz, Miguel %A Chen, Yii-Der Ida %A Rich, Stephen S %A McKean-Cowdin, Roberta %A Grallert, Harald %A Cheng, Ching-Yu %A Ghanbari, Mohsen %A Tai, E-Shyong %A Dupuis, Josée %A Kato, Norihiro %A Laakso, Markku %A Köttgen, Anna %A Koh, Woon-Puay %A Bowden, Donald W %A Palmer, Colin N A %A Kooner, Jaspal S %A Kooperberg, Charles %A Liu, Simin %A North, Kari E %A Saleheen, Danish %A Hansen, Torben %A Pedersen, Oluf %A Wareham, Nicholas J %A Lee, Juyoung %A Kim, Bong-Jo %A Millwood, Iona Y %A Walters, Robin G %A Stefansson, Kari %A Goodarzi, Mark O %A Mohlke, Karen L %A Langenberg, Claudia %A Haiman, Christopher A %A Loos, Ruth J F %A Florez, Jose C %A Rader, Daniel J %A Ritchie, Marylyn D %A Zöllner, Sebastian %A Mägi, Reedik %A Denny, Joshua C %A Yamauchi, Toshimasa %A Kadowaki, Takashi %A Chambers, John C %A Ng, Maggie C Y %A Sim, Xueling %A Below, Jennifer E %A Tsao, Philip S %A Chang, Kyong-Mi %A McCarthy, Mark I %A Meigs, James B %A Mahajan, Anubha %A Spracklen, Cassandra N %A Mercader, Josep M %A Boehnke, Michael %A Rotter, Jerome I %A Vujkovic, Marijana %A Voight, Benjamin F %A Morris, Andrew P %A Zeggini, Eleftheria %X

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance (P<5×10 ) that map to 611 loci, of which 145 loci are previously unreported. We define eight non-overlapping clusters of T2D signals characterised by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial, and enteroendocrine cells. We build cluster-specific partitioned genetic risk scores (GRS) in an additional 137,559 individuals of diverse ancestry, including 10,159 T2D cases, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned GRS are more strongly associated with coronary artery disease and end-stage diabetic nephropathy than an overall T2D GRS across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings demonstrate the value of integrating multi-ancestry GWAS with single-cell epigenomics to disentangle the aetiological heterogeneity driving the development and progression of T2D, which may offer a route to optimise global access to genetically-informed diabetes care.

%B medRxiv %8 2023 Mar 31 %G eng %R 10.1101/2023.03.31.23287839 %0 Journal Article %J Nature %D 2024 %T Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. %A Suzuki, Ken %A Hatzikotoulas, Konstantinos %A Southam, Lorraine %A Taylor, Henry J %A Yin, Xianyong %A Lorenz, Kim M %A Mandla, Ravi %A Huerta-Chagoya, Alicia %A Melloni, Giorgio E M %A Kanoni, Stavroula %A Rayner, Nigel W %A Bocher, Ozvan %A Arruda, Ana Luiza %A Sonehara, Kyuto %A Namba, Shinichi %A Lee, Simon S K %A Preuss, Michael H %A Petty, Lauren E %A Schroeder, Philip %A Vanderwerff, Brett %A Kals, Mart %A Bragg, Fiona %A Lin, Kuang %A Guo, Xiuqing %A Zhang, Weihua %A Yao, Jie %A Kim, Young Jin %A Graff, Mariaelisa %A Takeuchi, Fumihiko %A Nano, Jana %A Lamri, Amel %A Nakatochi, Masahiro %A Moon, Sanghoon %A Scott, Robert A %A Cook, James P %A Lee, Jung-Jin %A Pan, Ian %A Taliun, Daniel %A Parra, Esteban J %A Chai, Jin-Fang %A Bielak, Lawrence F %A Tabara, Yasuharu %A Hai, Yang %A Thorleifsson, Gudmar %A Grarup, Niels %A Sofer, Tamar %A Wuttke, Matthias %A Sarnowski, Chloe %A Gieger, Christian %A Nousome, Darryl %A Trompet, Stella %A Kwak, Soo-Heon %A Long, Jirong %A Sun, Meng %A Tong, Lin %A Chen, Wei-Min %A Nongmaithem, Suraj S %A Noordam, Raymond %A Lim, Victor J Y %A Tam, Claudia H T %A Joo, Yoonjung Yoonie %A Chen, Chien-Hsiun %A Raffield, Laura M %A Prins, Bram Peter %A Nicolas, Aude %A Yanek, Lisa R %A Chen, Guanjie %A Brody, Jennifer A %A Kabagambe, Edmond %A An, Ping %A Xiang, Anny H %A Choi, Hyeok Sun %A Cade, Brian E %A Tan, Jingyi %A Broadaway, K Alaine %A Williamson, Alice %A Kamali, Zoha %A Cui, Jinrui %A Thangam, Manonanthini %A Adair, Linda S %A Adeyemo, Adebowale %A Aguilar-Salinas, Carlos A %A Ahluwalia, Tarunveer S %A Anand, Sonia S %A Bertoni, Alain %A Bork-Jensen, Jette %A Brandslund, Ivan %A Buchanan, Thomas A %A Burant, Charles F %A Butterworth, Adam S %A Canouil, Mickaël %A Chan, Juliana C N %A Chang, Li-Ching %A Chee, Miao-Li %A Chen, Ji %A Chen, Shyh-Huei %A Chen, Yuan-Tsong %A Chen, Zhengming %A Chuang, Lee-Ming %A Cushman, Mary %A Danesh, John %A Das, Swapan K %A de Silva, H Janaka %A Dedoussis, George %A Dimitrov, Latchezar %A Doumatey, Ayo P %A Du, Shufa %A Duan, Qing %A Eckardt, Kai-Uwe %A Emery, Leslie S %A Evans, Daniel S %A Evans, Michele K %A Fischer, Krista %A Floyd, James S %A Ford, Ian %A Franco, Oscar H %A Frayling, Timothy M %A Freedman, Barry I %A Genter, Pauline %A Gerstein, Hertzel C %A Giedraitis, Vilmantas %A González-Villalpando, Clicerio %A Gonzalez-Villalpando, Maria Elena %A Gordon-Larsen, Penny %A Gross, Myron %A Guare, Lindsay A %A Hackinger, Sophie %A Hakaste, Liisa %A Han, Sohee %A Hattersley, Andrew T %A Herder, Christian %A Horikoshi, Momoko %A Howard, Annie-Green %A Hsueh, Willa %A Huang, Mengna %A Huang, Wei %A Hung, Yi-Jen %A Hwang, Mi Yeong %A Hwu, Chii-Min %A Ichihara, Sahoko %A Ikram, Mohammad Arfan %A Ingelsson, Martin %A Islam, Md Tariqul %A Isono, Masato %A Jang, Hye-Mi %A Jasmine, Farzana %A Jiang, Guozhi %A Jonas, Jost B %A Jørgensen, Torben %A Kamanu, Frederick K %A Kandeel, Fouad R %A Kasturiratne, Anuradhani %A Katsuya, Tomohiro %A Kaur, Varinderpal %A Kawaguchi, Takahisa %A Keaton, Jacob M %A Kho, Abel N %A Khor, Chiea-Chuen %A Kibriya, Muhammad G %A Kim, Duk-Hwan %A Kronenberg, Florian %A Kuusisto, Johanna %A Läll, Kristi %A Lange, Leslie A %A Lee, Kyung Min %A Lee, Myung-Shik %A Lee, Nanette R %A Leong, Aaron %A Li, Liming %A Li, Yun %A Li-Gao, Ruifang %A Ligthart, Symen %A Lindgren, Cecilia M %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Jianjun %A Locke, Adam E %A Louie, Tin %A Luan, Jian'an %A Luk, Andrea O %A Luo, Xi %A Lv, Jun %A Lynch, Julie A %A Lyssenko, Valeriya %A Maeda, Shiro %A Mamakou, Vasiliki %A Mansuri, Sohail Rafik %A Matsuda, Koichi %A Meitinger, Thomas %A Melander, Olle %A Metspalu, Andres %A Mo, Huan %A Morris, Andrew D %A Moura, Filipe A %A Nadler, Jerry L %A Nalls, Michael A %A Nayak, Uma %A Ntalla, Ioanna %A Okada, Yukinori %A Orozco, Lorena %A Patel, Sanjay R %A Patil, Snehal %A Pei, Pei %A Pereira, Mark A %A Peters, Annette %A Pirie, Fraser J %A Polikowsky, Hannah G %A Porneala, Bianca %A Prasad, Gauri %A Rasmussen-Torvik, Laura J %A Reiner, Alexander P %A Roden, Michael %A Rohde, Rebecca %A Roll, Katheryn %A Sabanayagam, Charumathi %A Sandow, Kevin %A Sankareswaran, Alagu %A Sattar, Naveed %A Schönherr, Sebastian %A Shahriar, Mohammad %A Shen, Botong %A Shi, Jinxiu %A Shin, Dong Mun %A Shojima, Nobuhiro %A Smith, Jennifer A %A So, Wing Yee %A Stančáková, Alena %A Steinthorsdottir, Valgerdur %A Stilp, Adrienne M %A Strauch, Konstantin %A Taylor, Kent D %A Thorand, Barbara %A Thorsteinsdottir, Unnur %A Tomlinson, Brian %A Tran, Tam C %A Tsai, Fuu-Jen %A Tuomilehto, Jaakko %A Tusié-Luna, Teresa %A Udler, Miriam S %A Valladares-Salgado, Adan %A van Dam, Rob M %A van Klinken, Jan B %A Varma, Rohit %A Wacher-Rodarte, Niels %A Wheeler, Eleanor %A Wickremasinghe, Ananda R %A van Dijk, Ko Willems %A Witte, Daniel R %A Yajnik, Chittaranjan S %A Yamamoto, Ken %A Yamamoto, Kenichi %A Yoon, Kyungheon %A Yu, Canqing %A Yuan, Jian-Min %A Yusuf, Salim %A Zawistowski, Matthew %A Zhang, Liang %A Zheng, Wei %A Raffel, Leslie J %A Igase, Michiya %A Ipp, Eli %A Redline, Susan %A Cho, Yoon Shin %A Lind, Lars %A Province, Michael A %A Fornage, Myriam %A Hanis, Craig L %A Ingelsson, Erik %A Zonderman, Alan B %A Psaty, Bruce M %A Wang, Ya-Xing %A Rotimi, Charles N %A Becker, Diane M %A Matsuda, Fumihiko %A Liu, Yongmei %A Yokota, Mitsuhiro %A Kardia, Sharon L R %A Peyser, Patricia A %A Pankow, James S %A Engert, James C %A Bonnefond, Amélie %A Froguel, Philippe %A Wilson, James G %A Sheu, Wayne H H %A Wu, Jer-Yuarn %A Hayes, M Geoffrey %A Ma, Ronald C W %A Wong, Tien-Yin %A Mook-Kanamori, Dennis O %A Tuomi, Tiinamaija %A Chandak, Giriraj R %A Collins, Francis S %A Bharadwaj, Dwaipayan %A Paré, Guillaume %A Sale, Michèle M %A Ahsan, Habibul %A Motala, Ayesha A %A Shu, Xiao-Ou %A Park, Kyong-Soo %A Jukema, J Wouter %A Cruz, Miguel %A Chen, Yii-Der Ida %A Rich, Stephen S %A McKean-Cowdin, Roberta %A Grallert, Harald %A Cheng, Ching-Yu %A Ghanbari, Mohsen %A Tai, E-Shyong %A Dupuis, Josée %A Kato, Norihiro %A Laakso, Markku %A Köttgen, Anna %A Koh, Woon-Puay %A Bowden, Donald W %A Palmer, Colin N A %A Kooner, Jaspal S %A Kooperberg, Charles %A Liu, Simin %A North, Kari E %A Saleheen, Danish %A Hansen, Torben %A Pedersen, Oluf %A Wareham, Nicholas J %A Lee, Juyoung %A Kim, Bong-Jo %A Millwood, Iona Y %A Walters, Robin G %A Stefansson, Kari %A Ahlqvist, Emma %A Goodarzi, Mark O %A Mohlke, Karen L %A Langenberg, Claudia %A Haiman, Christopher A %A Loos, Ruth J F %A Florez, Jose C %A Rader, Daniel J %A Ritchie, Marylyn D %A Zöllner, Sebastian %A Mägi, Reedik %A Marston, Nicholas A %A Ruff, Christian T %A van Heel, David A %A Finer, Sarah %A Denny, Joshua C %A Yamauchi, Toshimasa %A Kadowaki, Takashi %A Chambers, John C %A Ng, Maggie C Y %A Sim, Xueling %A Below, Jennifer E %A Tsao, Philip S %A Chang, Kyong-Mi %A McCarthy, Mark I %A Meigs, James B %A Mahajan, Anubha %A Spracklen, Cassandra N %A Mercader, Josep M %A Boehnke, Michael %A Rotter, Jerome I %A Vujkovic, Marijana %A Voight, Benjamin F %A Morris, Andrew P %A Zeggini, Eleftheria %X

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

%B Nature %8 2024 Feb 19 %G eng %R 10.1038/s41586-024-07019-6