The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
Open accessAbstract
Jose Florez, Claudia Langenberg, Erik Ingelsson, Inga Prokopenko, Inês Barroso and colleagues perform large-scale association analyses using the Metabochip to gain further insights into the genetic architecture of glucose regulation. They identify 38 new loci influencing 1 or more glycemic traits and show that many of these loci also modify risk of type 2 diabetes. 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,601
Lippa, N. C., & Sanderson, S. C. (2013) · Human Heredity · doi:10.1159/000353712 · Cited by 6,078
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., et al. (2007) · Science · doi:10.1126/science.1141634 · Cited by 4,531
Self-citationCommon SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446
Howie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487
Self-citationA central role for JNK in obesity and insulin resistance
Hirosumi, J., Tuncman, G., Chang, L., Görgün, C. Z., Uysal, K. T., Maeda, K., Karin, M., & Hotamisligil, G. S. (2002) · Nature · doi:10.1038/nature01137 · Cited by 3,359
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics · doi:10.1038/ng.686 · Cited by 2,912
Self-citationLocusZoom: regional visualization of genome-wide association scan results
Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., Boehnke, M., Abecasis, G. R., & Willer, C. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq419 · Cited by 2,707
Self-citationA new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609
Franke, A., McGovern, D. P. B., Barrett, J. C., Wang, K., Radford-Smith, G. L., Ahmad, T., Lees, C. W., Balschun, T., Lee, J., Roberts, R., et al. (2010) · Nature Genetics · doi:10.1038/ng.717 · Cited by 2,520
Self-citationLocal and systemic insulin resistance resulting from hepatic activation of IKK-β and NF-κB
Cai, D., Yuan, M., Frantz, D. F., Melendez, P. A., Hansen, L., Lee, J., & Shoelson, S. E. (2005) · Nature Medicine · doi:10.1038/nm1166 · Cited by 2,245
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
DIAGRAM Consortium, Dupuis, J., GIANT Consortium, Global BPgen Consortium, Anders Hamsten on behalf of Procardis Consortium, the MAGIC investigators, Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., et al. (2010) · Nature Genetics · doi:10.1038/ng.520 · Cited by 2,166
Self-citationthe DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2383 · Cited by 1,912
Self-citationMaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Li, Y., Willer, C. J., Ding, J., Scheet, P., & Abecasis, G. R. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20533 · Cited by 1,843
Insulin-promoter-factor 1 is required for pancreas development in mice
Jonsson, J., Carlsson, L., Edlund, T., & Edlund, H. (1994) · Nature · doi:10.1038/371606a0 · Cited by 1,785
Disruption of IRS-2 causes type 2 diabetes in mice
Withers, D. J., Gutierrez, J. S., Towery, H., Burks, D. J., Ren, J.-M., Previs, S., Zhang, Y., Bernal, D., Pons, S., Shulman, G. I., et al. (1998) · Nature · doi:10.1038/36116 · Cited by 1,775
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
The MAGIC investigators, Voight, B. F., The GIANT Consortium, Scott, L. J., Steinthorsdottir, V., Morris, A. P., Dina, C., Welch, R. P., Zeggini, E., Huth, C., et al. (2010) · Nature Genetics · doi:10.1038/ng.609 · Cited by 1,761
Self-citationPPAR-gamma: adipogenic regulator and thiazolidinedione receptor.
Spiegelman, B. M. (1998) · Diabetes · doi:10.2337/diabetes.47.4.507 · Cited by 1,730
Mutations in the hepatocyte nuclear factor-1α gene in maturity-onset diabetes of the young (MODY3)
Yamagata, K., Oda, N., Kaisaki, P. J., Menzel, S., Furuta, H., Vaxillaire, M., Southam, L., Cox, R. D., Lathrop, G. M., Boriraj, V. V., et al. (1996) · Nature · doi:10.1038/384455a0 · Cited by 1,614
Self-citationAnderson, C. A., Boucher, G., Lees, C. W., Franke, A., D'Amato, M., Taylor, K. D., Lee, J. C., Goyette, P., Imielinski, M., Latiano, A., et al. (2011) · Nature Genetics · doi:10.1038/ng.764 · Cited by 1,320
Self-citationA Fine-Scale Map of Recombination Rates and Hotspots Across the Human Genome
Myers, S., Bottolo, L., Freeman, C., McVean, G., & Donnelly, P. (2005) · Science · doi:10.1126/science.1117196 · Cited by 1,134
Molecular mechanisms and clinical pathophysiology of maturity-onset diabetes of the young
Fajans, S. S., Bell, G. I., & Polonsky, K. S. (2001) · New England Journal of Medicine · doi:10.1056/nejmra002168 · Cited by 1,123
Stoffers, D. A., Zinkin, N. T., Stanojevic, V., Clarke, W. L., & Habener, J. F. (1997) · Nature Genetics · doi:10.1038/ng0197-106 · Cited by 1,106
Wu, Z., Rosen, E. D., Brun, R., Hauser, S., Adelmant, G., Troy, A. E., McKeon, C., Darlington, G. J., & Spiegelman, B. M. (1999) · Molecular Cell · doi:10.1016/s1097-2765(00)80306-8 · Cited by 1,015
Li, Y., Willer, C., Sanna, S., & Abecasis, G. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164242 · Cited by 990
Self-citationMAGIC, Heid, I. M., Jackson, A. U., Randall, J. C., Winkler, T. W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M. C., Speliotes, E. K., et al. (2010) · Nature Genetics · doi:10.1038/ng.685 · Cited by 931
Self-citationEarly-onset type-ll diabetes mellitus (MODY4) linked to IPF1
Staffers, D. A., Ferrer, J., Clarke, W. L., & Habener, J. F. (1997) · Nature Genetics · doi:10.1038/ng1097-138 · Cited by 882
Tanaka, T., Yamamoto, J., Iwasaki, S., Asaba, H., Hamura, H., Ikeda, Y., Watanabe, M., Magoori, K., Ioka, R. X., Tachibana, K., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0306981100 · Cited by 832
Self-citationManning, A. K., Hivert, M.-F., Scott, R. A., Grimsby, J. L., Bouatia-Naji, N., Chen, H., Rybin, D., Liu, C.-T., Bielak, L. F., Prokopenko, I., et al. (2012) · Nature Genetics · doi:10.1038/ng.2274 · Cited by 827
Self-citationA Versatile Gene-Based Test for Genome-wide Association Studies
Liu, J. Z., Mcrae, A. F., Nyholt, D. R., Medland, S. E., Wray, N. R., Brown, K. M., Hayward, N. K., Montgomery, G. W., Visscher, P. M., Martin, N. G., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.06.009 · Cited by 791
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Speliotes, E. K., Willer, C. J., Berndt, S. I., Monda, K. L., Þorleifsson, G., Jackson, A., Allen, H. L., Lindgren, C. M., Luan, J., Mägi, R., et al. (2010) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/d3bn-7g86 · Cited by 767
Self-citationVariants in MTNR1B influence fasting glucose levels
Prokopenko, I., Langenberg, C., Florez, J. C., Saxena, R., Soranzo, N., Thorleifsson, G., Loos, R. J. F., Manning, A. K., Jackson, A. U., Aulchenko, Y., et al. (2009) · Nature Genetics · doi:10.1038/ng.290 · Cited by 744
Self-citationAitman, T. J., Glazier, A. M., Wallace, C. A., Cooper, L. D., Norsworthy, P. J., Wahid, F. N., Al-Majali, K. M., Trembling, P. M., Mann, C. J., Shoulders, C. C., et al. (1999) · Nature Genetics · doi:10.1038/5013 · Cited by 735
Activation of the IκBα Kinase Complex by MEKK1, a Kinase of the JNK Pathway
Lee, F. S., Hagler, J., Chen, Z. J., & Maniatis, T. (1997) · Cell · doi:10.1016/s0092-8674(00)81842-5 · Cited by 707
Park, J.-H., Wacholder, S., Gail, M. H., Peters, U., Jacobs, K. B., Chanock, S. J., & Chatterjee, N. (2010) · Nature Genetics · doi:10.1038/ng.610 · Cited by 678
The IRS-signalling system: A network of docking proteins that mediate insulin action
White, M. F. (1998) · Insulin Action · doi:10.1007/978-1-4615-5647-3_1 · Cited by 667
Genome-wide association identifies multiple ulcerative colitis susceptibility loci
The NIDDK IBD Genetics Consortium, McGovern, D. P. B., Gardet, A., Törkvist, L., Goyette, P., Essers, J., Taylor, K. D., Neale, B. M., Ong, R. T. H., Lagacé, C., et al. (2010) · Nature Genetics · doi:10.1038/ng.549 · Cited by 654
PPAR : a dagger in the heart of the metabolic syndrome
Barish, G. D. (2006) · Journal of Clinical Investigation · doi:10.1172/jci27955 · Cited by 641
The metabolic profile of tumors depends on both the responsible genetic lesion and tissue type
Yuneva, M. O., Fan, T. W. M., Allen, T. D., Higashi, R. M., Ferraris, D. V., Tsukamoto, T., Matés, J. M., Alonso, F. J., Wang, C., Seo, Y., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2011.12.015 · Cited by 639
Hancock, D. B., Eijgelsheim, M., Wilk, J. B., Gharib, S. A., Loehr, L. R., Marciante, K. D., Franceschini, N., van Durme, Y. M. T. A., Chen, T.-H., Barr, R. G., et al. (2010) · Nature Genetics · doi:10.1038/ng.500 · Cited by 632
Self-citationGenetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge
GIANT consortium, Saxena, R., the MAGIC investigators, Hivert, M.-F., Langenberg, C., Tanaka, T., Pankow, J. S., Vollenweider, P., Lyssenko, V., Bouatia-Naji, N., et al. (2010) · Nature Genetics · doi:10.1038/ng.521 · Cited by 626
Self-citationGWAMA: software for genome-wide association meta-analysis
Mägi, R., & Morris, A. P. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-288 · Cited by 603
Self-citationThe IRS-signalling system: A network of docking proteins that mediate insulin action
White, M. F. (1998) · Molecular and Cellular Biochemistry · doi:10.1023/a:1006806722619 · Cited by 534
Irs-2 coordinates Igf-1 receptor-mediated β-cell development and peripheral insulin signalling
Withers, D. J., Burks, D. J., Towery, H. H., Altamuro, S. L., Flint, C. L., & White, M. F. (1999) · Nature Genetics · doi:10.1038/12631 · Cited by 529
Lehner, B., Crombie, C., Tischler, J., Fortunato, A., & Fraser, A. G. (2006) · Nature Genetics · doi:10.1038/ng1844 · Cited by 502
Voight, B. F., Kang, H. M., Ding, J., Palmer, C. D., Sidore, C., Chines, P. S., Burtt, N. P., Fuchsberger, C., Li, Y., Erdmann, J., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002793 · Cited by 472
Self-citationRaychaudhuri, S., Plenge, R. M., Rossin, E. J., Ng, A. C. Y., International Schizophrenia Consortium, Purcell, S. M., Sklar, P., Scolnick, E. M., Xavier, R. J., Altshuler, D., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000534 · Cited by 431
Self-citationFamilial Dysautonomia Is Caused by Mutations of the IKAP Gene
Anderson, S. L., Coli, R., Daly, I. W., Kichula, E. A., Rork, M. J., Volpi, S. A., Ekstein, J., & Rubin, B. Y. (2001) · The American Journal of Human Genetics · doi:10.1086/318808 · Cited by 428
Variants in FAM13A are associated with chronic obstructive pulmonary disease
Cho, M. H., Boutaoui, N., Klanderman, B. J., Sylvia, J. S., Ziniti, J. P., Hersh, C. P., DeMeo, D. L., Hunninghake, G. M., Litonjua, A. A., Sparrow, D., et al. (2010) · Nature Genetics · doi:10.1038/ng.535 · Cited by 412
Nomiyama, T., Perez-Tilve, D., Ogawa, D., Gizard, F., Zhao, Y., Heywood, E. B., Jones, K. L., Kawamori, R., Cassis, L. A., Tschöp, M. H., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci31986 · Cited by 401
Strawbridge, R. J., Dupuis, J., Prokopenko, I., Barker, A., Ahlqvist, E., Rybin, D., Petrie, J. R., Travers, M. E., Bouatia-Naji, N., Dimas, A. S., et al. (2011) · Diabetes · doi:10.2337/db11-0415 · Cited by 356
Self-citationGenetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk
BIRAC Consortium, Raychaudhuri, S., YEAR Consortium, Thomson, B. P., Remmers, E. F., Eyre, S., Hinks, A., Guiducci, C., Catanese, J. J., Xie, G., et al. (2009) · Nature Genetics · doi:10.1038/ng.479 · Cited by 351
Self-citationYujiri, T. (1998) · Science · doi:10.1126/science.282.5395.1911 · Cited by 326
Yang, Q., Köttgen, A., Dehghan, A., Smith, A. V., Glazer, N. L., Chen, M.-H., Chasman, D. I., Aspelund, T., Eiriksdottir, G., Harris, T. B., et al. (2010) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.109.934455 · Cited by 320
Self-citationPietiläinen, K. H., Naukkarinen, J., Rissanen, A., Saharinen, J., Ellonen, P., Keränen, H., Suomalainen, A., Götz, A., Suortti, T., Yki-Järvinen, H., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050051 · Cited by 303
Self-citationIngelsson, E., Langenberg, C., Hivert, M.-F., Prokopenko, I., Lyssenko, V., Dupuis, J., Mägi, R., Sharp, S., Jackson, A. U., Assimes, T. L., et al. (2010) · Diabetes · doi:10.2337/db09-1568 · Cited by 257
Self-citationHollenberg, A. N., Susulic, V. S., Madura, J. P., Zhang, B., Moller, D. E., Tontonoz, P., Sarraf, P., Spiegelman, B. M., & Lowell, B. B. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.8.5283 · Cited by 247
Muscle-Specific Pten Deletion Protects against Insulin Resistance and Diabetes
Wijesekara, N., Konrad, D., Eweida, M., Jefferies, C., Liadis, N., Giacca, A., Crackower, M., Suzuki, A., Mak, T. W., Kahn, C. R., et al. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.3.1135-1145.2005 · Cited by 237
Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network
Kim, S., & Xing, E. P. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000587 · Cited by 218
Mice transgenic for an expanded CAG repeat in the Huntington's disease gene develop diabetes.
Hurlbert, M. S., Zhou, W., Wasmeier, C., Kaddis, F. G., Hutton, J. C., & Freed, C. R. (1999) · Diabetes · doi:10.2337/diabetes.48.3.649 · Cited by 218
Specific Inhibition of PTEN Expression Reverses Hyperglycemia in Diabetic Mice
Butler, M., McKay, R. A., Popoff, I. J., Gaarde, W. A., Witchell, D., Murray, S. F., Dean, N. M., Bhanot, S., & Monia, B. P. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1028 · Cited by 216
Approved IFCC recommendation on reporting results for blood glucose (abbreviated)
D'Orazio, P. (2005) · Clinical Chemistry · doi:10.1373/clinchem.2005.051979 · Cited by 208
Reue, K., Xu, P., Wang, X.-P., & Slavin, B. G. (2000) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)32011-3 · Cited by 177
Utsugi, T., Ohno, T., Ohyama, Y., Uchiyama, T., Saito, Y., Matsumura, Y., Aizawa, H., Itoh, H., Kurabayashi, M., Kawazu, S., et al. (2000) · Metabolism · doi:10.1053/meta.2000.8606 · Cited by 175
A multivariate regression approach to association analysis of a quantitative trait network
Kim, S., Sohn, K.-A., & Xing, E. P. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp218 · Cited by 173
Role of Rho-kinase in regulation of insulin action and glucose homeostasis
Furukawa, N., Ongusaha, P., Jahng, W. J., Araki, K., Choi, C. S., Kim, H.-J., Lee, Y. H., Kaibuchi, K., Kahn, B. B., Masuzaki, H., et al. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.06.011 · Cited by 172
Rampersaud, E., Damcott, C. M., Fu, M., Shen, H., McArdle, P., Shi, X., Shelton, J., Yin, J., Chang, Y.-P. C., Ott, S. H., et al. (2007) · Diabetes · doi:10.2337/db07-0457 · Cited by 170
Self-citationA Genome-Wide Association Study Reveals Variants in ARL15 that Influence Adiponectin Levels
Richards, J. B., Waterworth, D., O'Rahilly, S., Hivert, M.-F., Loos, R. J. F., Perry, J. R. B., Tanaka, T., Timpson, N. J., Semple, R. K., Soranzo, N., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000768 · Cited by 169
Self-citationMeyer, C. F., Wang, X., Chang, C., Templeton, D., & Tan, T.-H. (1996) · Journal of Biological Chemistry · doi:10.1074/jbc.271.15.8971 · Cited by 166
Björkqvist, M., Fex, M., Renström, E., Wierup, N., Petersén, Å., Gil‐Mohapel, J., Bacos, K., Popović, N., Li, J., Sundler, F., et al. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi053 · Cited by 146
YY1 Is Regulated by O-LinkedN-Acetylglucosaminylation (O-GlcNAcylation)
Hiromura, M., Choi, C. H., Sabourin, N. A., Jones, H., Bachvarov, D. R., & Usheva, A. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m300789200 · Cited by 123
Folkersen, L., Hooft, F. M. V., Chernogubova, E., Agardh, H. E., Hansson, G. K., Hedin, U., Liška, J., Syvänen, A., Paulsson‐Berne, G., Franco‐Cereceda, A., et al. (2010) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.110.948935 · Cited by 122
Self-citationAssociation of Genetic Loci With Glucose Levels in Childhood and Adolescence
Barker, A., Sharp, S. J., Timpson, N. J., Bouatia-Naji, N., Warrington, N. M., Kanoni, S., Beilin, L. J., Brage, S., Deloukas, P., Evans, D. M., et al. (2011) · Diabetes · doi:10.2337/db10-1575 · Cited by 117
Self-citationIrwin, D. M., & Tan, H. (2007) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2007.11.002 · Cited by 100
Nicolino, M. P., Claiborn, K. C., Senée, V., Boland, A., Stoffers, D. A., & Julier, C. (2009) · Diabetes · doi:10.2337/db09-1284 · Cited by 100
Pleiotropic Effects of GIP on Islet Function Involve Osteopontin
Lyssenko, V., Eliasson, L., Kotova, O., Pilgaard, K. A., Wierup, N., Salehi, A. A., Wendt, A., Jonsson, A. E., Marinis, Y. Z. D., Berglund, L. M., et al. (2011) · Diabetes · doi:10.2337/db10-1532 · Cited by 98
Self-citationOlofsson, L. E., Orho‐Melander, M., William‐Olsson, L., Sjöholm, K., Sjöström, L., Groop, L., Carlsson, B., Carlsson, L. M. S., & Olsson, B. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0574 · Cited by 84
LPIN2 Is Associated With Type 2 Diabetes, Glucose Metabolism, and Body Composition
Aulchenko, Y. S., Pullen, J., Kloosterman, W. P., Yazdanpanah, M., Albert Hofman, D., Vaessen, N., Snijders, P. J. L. M., Zubakov, D., Mackay, I., Olavesen, M. G., et al. (2007) · Diabetes · doi:10.2337/db07-0338 · Cited by 80
Self-citationA Genome-Wide Association Study Confirms Previously Reported Loci for Type 2 Diabetes in Han Chinese
Cui, B., Zhu, X., Xu, M., Guo, T., Zhu, D., Chen, G., Li, X., Xu, L., Bi, Y., Chen, Y., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022353 · Cited by 73
Role of the Insulin-Regulated Aminopeptidase IRAP in Insulin Action and Diabetes
Keller, S. R. (2004) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.27.761 · Cited by 70
Shimoyama, Y., Nishio, K., Hamajima, N., & Niwa, T. (2009) · Clinica Chimica Acta · doi:10.1016/j.cca.2009.06.011 · Cited by 64
Rhee, E., Oh, K. W., Yun, E., Jung, C., Lee, W., Kim, S., Baek, K., Kang, M. I., & Park, S. W. (2006) · Journal of Endocrinological Investigation · doi:10.1007/bf03344160 · Cited by 57
Schmid, J., Ludwig, B., Schally, A. V., Steffen, A., Ziegler, C. G., Block, N. L., Koutmani, Y., Brendel, M. D., Karalis, K. P., Simeonovic, C. J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110965108 · Cited by 53
Self-citationIn vivo activation of ROCK1 by insulin is impaired in skeletal muscle of humans with type 2 diabetes
Chun, K., Choi, K., Lee, D.-H., Jung, Y., Henry, R. R., Ciaraldi, T. P., & Kim, Y. (2010) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00538.2010 · Cited by 53
Bradley, S. V., Hyun, T. S., Oravecz-Wilson, K. I., Li, L., Waldorff, E. I., Ermilov, A. N., Goldstein, S. A., Zhang, C. X., Drubin, D. G., Varela, K., et al. (2007) · Human Molecular Genetics · doi:10.1093/hmg/ddm076 · Cited by 50
Ohnishi, M., Kato, S., Akiyoshi, J., Atfi, A., & Razzaque, M. S. (2011) · The FASEB Journal · doi:10.1096/fj.10-167056 · Cited by 49
ROCK1 feedback regulation of the upstream small GTPase RhoA
Tang, A. T., Campbell, W. B., & Nithipatikom, K. (2012) · Cellular Signalling · doi:10.1016/j.cellsig.2012.03.005 · Cited by 44
Genetic variants of FOXA2: risk of type 2 diabetes and effect on metabolic traits in North Indians
Tabassum, R., Chavali, S., Dwivedi, O. P., Tandon, N., & Bharadwaj, D. (2008) · Journal of Human Genetics · doi:10.1007/s10038-008-0335-6 · Cited by 41
Klotho Gene Polymorphism and Male Bone Mass
Zarrabeitia, M. T., Hernández, J. L., Valero, C., Zarrabeitia, A., Ortiz, F., González-Macías, J., & Riancho, J. A. (2007) · Calcified Tissue International · doi:10.1007/s00223-006-0233-x · Cited by 40
Yujiri, T., Nawata, R., Takahashi, T., Sato, Y., Tanizawa, Y., Kitamura, T., & Oka, Y. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m206087200 · Cited by 38
Xing, C., Cohen, J. C., & Boerwinkle, E. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.01.025 · Cited by 32
Oguro, R., Kamide, K., Kokubo, Y., Shimaoka, I., Congrains, A., Horio, T., Hanada, H., Ohishi, M., Katsuya, T., Okamura, T., et al. (2010) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/j.1447-0594.2010.00612.x · Cited by 31
Freathy, R. M., Weedon, M. N., Melzer, D. R., Shields, B. M., Hitman, G. A., Walker, M., McCarthy, M. I., Hattersley, A. T., & Frayling, T. M. (2006) · BMC Medical Genetics · doi:10.1186/1471-2350-7-51 · Cited by 23
Self-citationParoni, G., Seripa, D., Panza, F., Addante, F., Copetti, M., D’Onofrio, G., Pellegrini, F., Fontana, L., & Pilotto, A. (2011) · AGE · doi:10.1007/s11357-011-9273-x · Cited by 10
Cited by
Verbanck, M., Chen, C.-Y., Neale, B., & Do, R. (2018) · Nature Genetics · doi:10.1038/s41588-018-0099-7 · Cited by 8,591
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Self-citationA comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
the CARDIoGRAMplusC4D Consortium (2015) · Nature Genetics · doi:10.1038/ng.3396 · Cited by 2,447
the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2383 · Cited by 1,912
Self-citationEPIC- InterAct Consortium, Burgess, S., Scott, R. A., Timpson, N. J., Davey Smith, G., & Thompson, S. G. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0011-z · Cited by 1,803
Self-citation
Metadata
- Authors
- Scott, R. A., Lagou, V., Welch, R. P., Wheeler, E., Montasser, M. E., Luan, J., Mägi, R., Strawbridge, R. J., Rehnberg, E., Gustafsson, S., Kanoni, S., Rasmussen-Torvik, L. J., Yengo, L., Lecoeur, C., Shungin, D., Sanna, S., Sidore, C., Johnson, P. C. D., Jukema, J. W., Johnson, T., Mahajan, A., Verweij, N., Thorleifsson, G., Hottenga, J.-J., Shah, S., Smith, A. V., Sennblad, B., Gieger, C., Salo, P., Perola, M., Timpson, N. J., Evans, D. M., Pourcain, B. S., Wu, Y., Andrews, J. S., Hui, J., Bielak, L. F., Zhao, W., Horikoshi, M., Navarro, P., Isaacs, A., O'Connell, J. R., Stirrups, K., Vitart, V., Hayward, C., Esko, T., Mihailov, E., Fraser, R. M., Fall, T., Voight, B. F., Raychaudhuri, S., Chen, H., Lindgren, C. M., Morris, A. P., Rayner, N. W., Robertson, N., Rybin, D., Liu, C.-T., Beckmann, J. S., Willems, S. M., Chines, P. S., Jackson, A. U., Kang, H. M., Stringham, H. M., Song, K., Tanaka, T., Peden, J. F., Goel, A., Hicks, A. A., An, P., Müller-Nurasyid, M., Franco-Cereceda, A., Folkersen, L., Marullo, L., Jansen, H., Oldehinkel, A. J., Bruinenberg, M., Pankow, J. S., North, K. E., Forouhi, N. G., Loos, R. J. F., Edkins, S., Varga, T. V., Hallmans, G., Oksa, H., Antonella, M., Nagaraja, R., Trompet, S., Ford, I., Bakker, S. J. L., Kong, A., Kumari, M., Gigante, B., Herder, C., Munroe, P. B., Caulfield, M., Antti, J., Mangino, M., Small, K., Miljkovic, I., Liu, Y., Atalay, M., Kiess, W., James, A. L., Rivadeneira, F., Uitterlinden, A. G., Palmer, C. N. A., Doney, A. S. F., Willemsen, G., Smit, J. H., Campbell, S., Polasek, O., Bonnycastle, L. L., Hercberg, S., Dimitriou, M., Bolton, J. L., Fowkes, G. R., Kovacs, P., Lindström, J., Zemunik, T., Bandinelli, S., Wild, S. H., Basart, H. V., Rathmann, W., Grallert, H., DIAbetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium, Maerz, W., Kleber, M. E., Boehm, B. O., Peters, A., Pramstaller, P. P., Province, M. A., Borecki, I. B., Hastie, N. D., Rudan, I., Campbell, H., Watkins, H., Farrall, M., Stumvoll, M., Ferrucci, L., Waterworth, D. M., Bergman, R. N., Collins, F. S., Tuomilehto, J., Watanabe, R. M., de Geus, E. J. C., Penninx, B. W., Hofman, A., Oostra, B. A., Psaty, B. M., Vollenweider, P., Wilson, J. F., Wright, A. F., Hovingh, G. K., Metspalu, A., Uusitupa, M., Magnusson, P. K. E., Kyvik, K. O., Kaprio, J., Price, J. F., Dedoussis, G. V., Deloukas, P., Meneton, P., Lind, L., Boehnke, M., Shuldiner, A. R., van Duijn, C. M., Morris, A. D., Toenjes, A., Peyser, P. A., Beilby, J. P., Körner, A., Kuusisto, J., Laakso, M., Bornstein, S. R., Schwarz, P. E. H., Lakka, T. A., Rauramaa, R., Adair, L. S., Smith, G. D., Spector, T. D., Illig, T., de Faire, U., Hamsten, A., Gudnason, V., Kivimaki, M., Hingorani, A., Keinanen-Kiukaanniemi, S. M., Saaristo, T. E., Boomsma, D. I., Stefansson, K., van der Harst, P., Dupuis, J., Pedersen, N. L., Sattar, N., Harris, T. B., Cucca, F., Ripatti, S., Salomaa, V., Mohlke, K. L., Balkau, B., Froguel, P., Pouta, A., Jarvelin, M.-R., Wareham, N. J., Bouatia-Naji, N., McCarthy, M. I., Franks, P. W., Meigs, J. B., Teslovich, T. M., Florez, J. C., Langenberg, C., Ingelsson, E., Prokopenko, I., & Barroso, I.
- Venue
- Nature Genetics
- Published
- 2012-08-12
- Volume
- 44
- Issue
- 9
- Pages
- 991-1005
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2126237420
- Cited by
- 828
- References
- 99
- FWCI
- 36.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.