Genome-Wide Association Identifies Nine Common Variants Associated With Fasting Proinsulin Levels and Provides New Insights Into the Pathophysiology of Type 2 Diabetes
Open accessAbstract
OBJECTIVE: Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology. RESEARCH DESIGN AND METHODS: We have conducted a meta-analysis of genome-wide association tests of ∼2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10,701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16,378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates. RESULTS: Nine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10−8). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 × 10−4), improved β-cell function (P = 1.1 × 10−5), and lower risk of T2D (odds ratio 0.88; P = 7.8 × 10−6). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets. CONCLUSIONS: We have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
rs1057233 was previously found to be associated with systemic lupus erythematosus, body mass index, and proinsulin levels.
“Interestingly, rs1057233 was previously found to be associated with systemic lupus erythematosus33, body mass index40 and proinsulin levels41”
From A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease (2017) · cites this paper as [40]
Citation 41 is attached to the proinsulin-level association, not the lupus or BMI associations, which have separate citations. The Results tables report proinsulin associations for other SNPs, but a search for rs1057233 found no passage identifying it or linking it to proinsulin levels in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
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 · see citing works
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502 · see citing works
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
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 7,628 · see citing works
Matsuda, M., & DeFronzo, R. A. (1999) · Diabetes Care · doi:10.2337/diacare.22.9.1462 · Cited by 5,621 · see citing works
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 · see citing works
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · see citing works
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 · see citing works
Self-citationPredicting Deleterious Amino Acid SubstitutionsPreprint
Ng, P. C., & Henikoff, S. (2001) · Genome Research · doi:10.1101/gr.176601 · Cited by 2,667 · see citing works
A 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 · see citing works
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 · see citing works
Self-citationLarge-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Cardiogenics, Schunkert, H., the CARDIoGRAM Consortium, König, I. R., Kathiresan, S., Reilly, M. P., Assimes, T. L., Holm, H., Preuss, M., Stewart, A. F. R., et al. (2011) · Nature Genetics · doi:10.1038/ng.784 · Cited by 1,866 · see citing works
Self-citationTwelve 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 · see citing works
Self-citationPrediction of deleterious human alleles
Sunyaev, S. R. (2001) · Human Molecular Genetics · doi:10.1093/hmg/10.6.591 · Cited by 1,042 · see citing works
Seltzer, H. S., Allen, E. W., Herron, A. L., & Brennan, M. T. (1967) · Journal of Clinical Investigation · doi:10.1172/jci105534 · Cited by 819 · cited 1× · see citing works
“The insulinogenic index (27), which measures dynamic insulin secretion during the first 30 min after an oral glucose load and was available in 14,956 subjects, showed nominal associations for four loci.”
The Wellcome Trust Case Control Consortium (2010) · Nature · doi:10.1038/nature08979 · Cited by 807 · see citing works
Self-citationAssociation 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 · see citing works
Self-citationVariants in MTNR1B influence fasting glucose levels
Prokopenko, I., Langenberg, C., Florez, J. C., Saxena, R., Soranzo, N., Þorleifsson, G., Loos, R. J. F., Manning, A. K., Jackson, A., Aulchenko, Y. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.290 · Cited by 743 · see citing works
Self-citationThe Coronary Artery Disease (C4D) Genetics Consortium (2011) · Nature Genetics · doi:10.1038/ng.782 · Cited by 674 · see citing works
Self-citationGenetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge
Saxena, R., the MAGIC investigators, Hivert, M., Langenberg, C., Tanaka, T., Pankow, J. S., Vollenweider, P., Lyssenko, V., Bouatia‐Naji, N., Dupuis, J., et al. (2010) · Nature Genetics · doi:10.1038/ng.521 · Cited by 621 · see citing works
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 · see citing works
Soranzo, N., Sanna, S., Wheeler, E., Gieger, C., Radke, D., Dupuis, J., Bouatia‐Naji, N., Langenberg, C., Prokopenko, I., Stolerman, E., et al. (2010) · Diabetes · doi:10.2337/db10-0502 · Cited by 445 · see citing works
Self-citationThe genetics of type 2 diabetes: what have we learned from GWAS?
Billings, L. K., & Florez, J. C. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05838.x · Cited by 386 · see citing works
Self-citationNicolson, T. J., Bellomo, E. A., Wijesekara, N., Loder, M. K., Baldwin, J. M., Gyulkhandanyan, A. V., Koshkin, V., Tarasov, A. I., Carzaniga, R., Kronenberger, K., et al. (2009) · Diabetes · doi:10.2337/db09-0551 · Cited by 372 · see citing works
Self-citationCommon nonsynonymous variants in PCSK1 confer risk of obesity
Benzinou, M., Creemers, J. W. M., Choquet, H., Lobbens, S., Christian Dina, C., Durand, E., Guérardel, A., Boutin, P., Jouret, B., Heude, B., et al. (2008) · Nature Genetics · doi:10.1038/ng.177 · Cited by 299 · see citing works
Self-citationYamauchi, T., Hara, K., Maeda, S., Yasuda, K., Takahashi, A., Horikoshi, M., Nakamura, M., Fujita, H., Grarup, N., Cauchi, S., et al. (2010) · Nature Genetics · doi:10.1038/ng.660 · Cited by 265 · see citing works
Self-citationKirchhoff, K., Machicao, F. E., Haupt, A., Schäfer, S., Tschritter, O., Staiger, H., Stefan, N., Häring, H.-U., & Fritsche, A. (2008) · Diabetologia · doi:10.1007/s00125-008-0926-y · Cited by 264 · see citing works
Ingelsson, E., Langenberg, C., Hivert, M., Prokopenko, I., Lyssenko, V., Dupuis, J., Mägi, R., Sharp, S. J., Jackson, A., Assimes, T. L., et al. (2010) · Diabetes · doi:10.2337/db09-1568 · Cited by 254 · see citing works
Self-citationFarooqi, I. S., Volders, K., Stanhope, R., Heuschkel, R., White, A., Lank, E., Keogh, J., O’Rahilly, S., & Creemers, J. W. M. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-0687 · Cited by 218 · see citing works
Røder, M. E., Porte, D., Schwartz, R. S., & Kahn, S. E. (1998) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.83.2.4544 · Cited by 207 · see citing works
TCF7L2 Regulates Late Events in Insulin Secretion From Pancreatic Islet β-Cells
Xavier, G. D. S., Loder, M. K., McDonald, A., Tarasov, A. I., Carzaniga, R., Kronenberger, K., Barg, S., & Rutter, G. A. (2009) · Diabetes · doi:10.2337/db08-1187 · Cited by 207 · see citing works
Furuta, M., Carroll, R., Martin, S., Swift, H. H., Ravazzola, M., Orci, L., & Steiner, D. F. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.6.3431 · Cited by 187 · see citing works
Fasting proinsulin concentrations predict the development of type 2 diabetes.
Wareham, N. J., Byrne, C. D., Williams, R., Day, N., & Hales, C. N. (1999) · Diabetes Care · doi:10.2337/diacare.22.2.262 · Cited by 172 · see citing works
Self-citationTCF7L2 Polymorphisms Modulate Proinsulin Levels and β-Cell Function in a British Europid Population
Loos, R. J. F., Franks, P. W., Francis, R. W., Barroso, I., Gribble, F. M., Savage, D. B., Ong, K. K., O’Rahilly, S., & Wareham, N. J. (2007) · Diabetes · doi:10.2337/db07-0055 · Cited by 169 · see citing works
Self-citationRøder, M. E. (1998) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.83.2.604 · Cited by 169 · see citing works
Proinsulin Is an Independent Predictor of Coronary Heart Disease
Zethelius, B., Byberg, L., Hales, C. N., Lithell, H., & Berne, C. (2002) · Circulation · doi:10.1161/01.cir.0000015855.04844.e7 · Cited by 121 · see citing works
Self-citationMeta‐analysis of sex‐specific genome‐wide association studies
Mägi, R., Lindgren, C. M., & Morris, A. P. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20540 · Cited by 115 · see citing works
Cai, L., Fritz, D., Stefanovic, L., & Stefanovic, B. (2009) · Journal of Molecular Biology · doi:10.1016/j.jmb.2009.11.020 · Cited by 109 · see citing works
Hanley, A. J., D’Agostino, R., Wagenknecht, L. E., Saad, M. F., Savage, P. J., Bergman, R. N., & Haffner, S. M. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1263 · Cited by 83 · see citing works
A SNP-centric database for the investigation of the human genome
Riva, A., & Kohane, I. S. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-33 · Cited by 80 · see citing works
Stolerman, E. S., Manning, A. K., McAteer, J. B., Fox, C. S., Dupuis, J., Meigs, J. B., & Florez, J. C. (2009) · Diabetologia · doi:10.1007/s00125-009-1266-2 · Cited by 76 · see citing works
Self-citationYudkin, J. S., May, M., Elwood, P. C., YARNELL, J. W. G., Greenwood, R., & Smith, G. D. (2002) · Diabetologia · doi:10.1007/s00125-001-0756-7 · Cited by 69 · see citing works
Association of obesity risk SNPs in PCSK1with insulin sensitivity and proinsulin conversion
Heni, M., Haupt, A., Schäfer, S., Ketterer, C., Thamer, C., Machicao, F. E., Stefan, N., Staiger, H., Häring, H., & Fritsche, A. (2010) · BMC Medical Genetics · doi:10.1186/1471-2350-11-86 · Cited by 62 · see citing works
High proinsulin concentration precedes acute myocardial infarction in a nondiabetic population
Lindahl, B., Dinesen, B., Eliasson, M., Røder, M. E., Jansson, J., Huhtasaari, F., & Hallmans, G. (1999) · Metabolism · doi:10.1016/s0026-0495(99)90138-5 · Cited by 61 · see citing works
González‐Sánchez, J. L., Martínez-Larrad, M. T., Aben, K. K. H., Pérez‐Barba, M., & Serrano‐Ríos, M. (2008) · Diabetologia · doi:10.1007/s00125-008-1129-2 · Cited by 60 · see citing works
Self-citationRich, S. S., Goodarzi, M. O., Palmer, N. D., Langefeld, C. D., Ziegler, J. T., Haffner, S. M., Bryer‐Ash, M., Norris, J. M., Taylor, K. D., Haritunians, T., et al. (2009) · Diabetologia · doi:10.1007/s00125-009-1373-0 · Cited by 36 · see citing works
Palmer, N. D., Langefeld, C. D., Ziegler, J. T., Hsu, F., Haffner, S. M., Fingerlin, T. E., Norris, J. M., Chen, Y. I., Rich, S. S., Haritunians, T., et al. (2009) · Diabetologia · doi:10.1007/s00125-009-1586-2 · Cited by 28 · see citing works
Regulation of steroidogenic enzymes and a novel testicular RNA helicase
Dufau, M. L., Tsai‐Morris, C., Tang, P., & Khanum, A. (2001) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/s0960-0760(01)00051-6 · Cited by 22 · see citing works
Flagged first, then by citations
1 of the 50 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases
Sanna, S., van Zuydam, N. R., Mahajan, A., Kurilshikov, A., Vich Vila, A., Võsa, U., Mujagic, Z., Masclee, A. A. M., Jonkers, D. M. A. E., Oosting, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0350-x · Cited by 1,539 · see citing works
Self-citationScott, R. A., Lagou, V., Welch, R., Wheeler, E., Montasser, M. E., Luan, J., Mägi, R., Strawbridge, R. J., Rehnberg, E., Gustafsson, S., et al. (2012) · Nature Genetics · doi:10.1038/ng.2385 · Cited by 817 · see citing works
Self-citationManning, A. K., Hivert, M., Scott, R. A., Grimsby, J., Bouatia‐Naji, N., Chen, H., Rybin, D. V., Liu, C.-T., Bielak, L. F., Prokopenko, I., et al. (2012) · Nature Genetics · doi:10.1038/ng.2274 · Cited by 806 · see citing works
Self-citationThe effect of host genetics on the gut microbiome
Bonder, M. J., Kurilshikov, A., Tigchelaar, E. F., Mujagic, Z., Imhann, F., Vila, A. V., Deelen, P., Vatanen, T., Schirmer, M., Smeekens, S. P., et al. (2016) · Nature Genetics · doi:10.1038/ng.3663 · Cited by 819 · see citing works
An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans
Scott, R. A., Scott, L. J., Mägi, R., Marullo, L., Gaulton, K. J., Kaakinen, M., Pervjakova, N., Pers, T. H., Johnson, A. D., Eicher, J. D., et al. (2017) · Diabetes · doi:10.2337/db16-1253 · Cited by 736 · see citing works
Self-citationColocalization of GWAS and eQTL Signals Detects Target Genes
Hormozdiari, F., van de Bunt, M., Segrè, A. V., Li, X., Joo, J. W. J., Bilow, M., Sul, J. H., Sankararaman, S., Pasaniuc, B., & Eskin, E. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.10.003 · Cited by 697 · see citing works
Udler, M. S., Kim, J., von Grotthuss, M., Bonàs-Guarch, S., Cole, J. B., Chiou, J., ISGC, C. D. A. O. B. O. M. A. T., Boehnke, M., Laakso, M., Atzmon, G., et al. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002654 · Cited by 542 · see citing works
Self-citationLoss-of-function mutations in SLC30A8 protect against type 2 diabetes
Go-T2D Consortium, Flannick, J., T2D-GENES Consortium, Thorleifsson, G., Beer, N. L., Jacobs, S. B. R., Grarup, N., Burtt, N. P., Mahajan, A., Fuchsberger, C., et al. (2014) · Nature Genetics · doi:10.1038/ng.2915 · Cited by 492 · see citing works
Self-citationA single-cell atlas of chromatin accessibility in the human genome
Zhang, K., Hocker, J. D., Miller, M., Hou, X., Chiou, J., Poirion, O. B., Qiu, Y., Li, Y. E., Gaulton, K. J., Wang, A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.10.024 · Cited by 502 · see citing works
A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease
The International Genomics of Alzheimer's Project, Huang, K.-L., Initiative, T. A. D. N., Marcora, E., Pimenova, A. A., Di Narzo, A. F., Kapoor, M., Jin, S. C., Harari, O., Bertelsen, S., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4587 · Cited by 423 · see citing works
Genetics of Type 2 Diabetes—Pitfalls and Possibilities
Prasad, R., & Groop, L. (2015) · Genes · doi:10.3390/genes6010087 · Cited by 458 · see citing works
Self-citationInterpreting type 1 diabetes risk with genetics and single-cell epigenomics
Chiou, J., Geusz, R. J., Okino, M.-L., Han, J. Y., Miller, M., Melton, R. L., Beebe, E., Benaglio, P., Huang, S., Korgaonkar, K., et al. (2021) · Nature · doi:10.1038/s41586-021-03552-w · Cited by 437 · see citing works
Wheeler, E., Leong, A., Liu, C.-T., Hivert, M.-F., Strawbridge, R. J., Podmore, C., Li, M., Yao, J., Sim, X., Hong, J., et al. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002383 · Cited by 408 · see citing works
Self-citationMorán, I., Akerman, İ., van de Bunt, M., Xie, R., Benazra, M., Nammo, T., Arnes, L., Nakić, N., García-Hurtado, J., Rodríguez‐Seguí, S. A., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.08.010 · Cited by 442 · see citing works
Self-citationIdentification of type 2 diabetes loci in 433,540 East Asian individuals
Spracklen, C. N., Horikoshi, M., Kim, Y. J., Lin, K., Bragg, F., Moon, S., Ken, S., Tam, C. H. T., Tabara, Y., Kwak, S., et al. (2020) · Nature · doi:10.1038/s41586-020-2263-3 · Cited by 442 · see citing works
Self-citationTissue-specific regulatory circuits reveal variable modular perturbations across complex diseases
Marbach, D., Lamparter, D., Quon, G., Kellis, M., Kutalik, Z., & Bergmann, S. (2016) · Nature Methods · doi:10.1038/nmeth.3799 · Cited by 326 · see citing works
Dimas, A. S., Lagou, V., Barker, A., Knowles, J. W., Mägi, R., Hivert, M., Benazzo, A., Rybin, D. V., Jackson, A., Stringham, H. M., et al. (2013) · Diabetes · doi:10.2337/db13-0949 · Cited by 359 · see citing works
Self-citationAli, O. (2013) · World Journal of Diabetes · doi:10.4239/wjd.v4.i4.114 · Cited by 350 · see citing works
The Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Horikoshi, M., Early Growth Genetics (EGG) Consortium, Yaghootkar, H., Mook-Kanamori, D. O., Sovio, U., Taal, H. R., Hennig, B. J., Bradfield, J. P., St Pourcain, B., et al. (2013) · Nature Genetics · doi:10.1038/ng.2477 · Cited by 309 · see citing works
Self-citationGenetic Risk Scores for Diabetes Diagnosis and Precision Medicine
Udler, M. S., McCarthy, M. I., Florez, J. C., & Mahajan, A. (2019) · Endocrine Reviews · doi:10.1210/er.2019-00088 · Cited by 302 · see citing works
Self-citationFranzén, O., Ermel, R., Cohain, A., Akers, N. K., Di Narzo, A., Talukdar, H. A., Foroughi-Asl, H., Giambartolomei, C., Fullard, J. F., Sukhavasi, K., et al. (2016) · Science · doi:10.1126/science.aad6970 · Cited by 288 · see citing works
Huyghe, J. R., Jackson, A., Fogarty, M. P., Buchkovich, M. L., Stančáková, A., Stringham, H. M., Sim, X., Yang, L., Fuchsberger, C., Cederberg, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2507 · Cited by 275 · see citing works
Self-citationDeelen, J., Beekman, M., Uh, H., Broer, L., Ayers, K. L., Tan, Q., Kamatani, Y., Bennet, A. M., Tamm, R., Trompet, S., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu139 · Cited by 254 · see citing works
Targeting the pancreatic β-cell to treat diabetes
Vetere, A., Choudhary, A., Burns, S. M., & Wagner, B. K. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4231 · Cited by 253 · see citing works
Causal relationships between NAFLD, T2D and obesity have implications for disease subphenotyping
Liu, Z., Zhang, Y., Graham, S. E., Wang, X., Cai, D., Huang, M., Piqué-Regi, R., Dong, X. C., Chen, Y. E., Willer, C. J., et al. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.03.006 · Cited by 250 · see citing works
Die Gutenberg Gesundheitsstudie
Wild, P. S., Zeller, T., Beutel, M. E., Blettner, M., Dugi, K. A., Lackner, K. J., Pfeiffer, N., Münzel, T. F., & Blankenberg, S. (2012) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-012-1502-7 · Cited by 240 · see citing works
TCF7L2 is a master regulator of insulin production and processing
Zhou, Y., Park, S.-Y., Su, J., Bailey, K. A., Ottosson-Laakso, E., Shcherbina, L., Oskolkov, N., Zhang, E., Thevenin, T., Fadista, J., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu359 · Cited by 217 · see citing works
Self-citationThe Renin Angiotensin Aldosterone System and Insulin Resistance in Humans
UNDERWOOD, P. C., & Adler, G. K. (2012) · Current Hypertension Reports · doi:10.1007/s11906-012-0323-2 · Cited by 214 · see citing works
Iotchkova, V., Ritchie, G. R. S., Geihs, M., Morganella, S., Min, J. L., Walter, K., Timpson, N. J., Dunham, I., Birney, E., & Soranzo, N. (2019) · Nature Genetics · doi:10.1038/s41588-018-0322-6 · Cited by 212 · see citing works
The Emerging Role of Long Noncoding RNAs in Human Disease
DiStefano, J. K. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7471-9_6 · Cited by 200 · see citing works
Chiou, J., Zeng, C., Zhang, C., Han, J. Y., Schlichting, M., Miller, M., Mendez, R., Huang, S., Wang, J., Sui, Y., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00823-0 · Cited by 175 · see citing works
Keenan, T. E., Zhao, W., Rasheed, A., Ho, W.-K., Malik, R., Felix, J. F., Young, R., Shah, N., Samuel, M., Sheikh, N., et al. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.10.086 · Cited by 186 · see citing works
Self-citationGenetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits
Civelek, M., Wu, Y., Pan, C., Raulerson, C. K., Ko, A., He, A., Tilford, C. A., Saleem, N. K., Stančáková, A., Scott, L. J., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.027 · Cited by 173 · see citing works
Self-citationAn atlas of gene regulatory elements in adult mouse cerebrum
Li, Y. E., Preissl, S., Hou, X., Zhang, Z., Zhang, K., Qiu, Y., Poirion, O. B., Li, B., Chiou, J., Liu, H., et al. (2021) · Nature · doi:10.1038/s41586-021-03604-1 · Cited by 185 · see citing works
van de Bunt, M., Fox, J. E. M., Dai, X.-Q., Barrett, A., Grey, C. L., Li, L., Bennett, A. J., Johnson, P. R. V., Rajotte, R. V., Gaulton, K. J., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005694 · Cited by 174 · see citing works
Self-citationScott, R. A., Fall, T., Pasko, D., Barker, A., Sharp, S. J., Arriola, L., Balkau, B., Barricarte, A., Barroso, I., Boeing, H., et al. (2014) · Diabetes · doi:10.2337/db14-0319 · Cited by 172 · see citing works
Self-citationOlsson, A. H., Volkov, P., Bacos, K., Dayeh, T., Hall, E., Nilsson, E., Ladenvall, C., Rönn, T., & Ling, C. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004735 · Cited by 175 · see citing works
PCSK1 Mutations and Human Endocrinopathies: From Obesity to Gastrointestinal Disorders
Stijnen, P., Ramos‐Molina, B., O’Rahilly, S., & Creemers, J. W. M. (2016) · Endocrine Reviews · doi:10.1210/er.2015-1117 · Cited by 171 · see citing works
Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D
Viñuela, A., Varshney, A., van de Bunt, M., Prasad, R. B., Asplund, O., Bennett, A., Boehnke, M., Brown, A. A., Erdos, M. R., Fadista, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18581-8 · Cited by 152 · see citing works
Self-citationZinc transporter 8 (ZnT8) and β cell function
Davidson, H. W., Wenzlau, J. M., & O’Brien, R. M. (2014) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2014.03.008 · Cited by 151 · see citing works
Spracklen, C. N., Chen, P., Kim, Y. J., Wang, X., Cai, H., Li, S., Long, J., Wu, Y., Wang, Y. X., Takeuchi, F., et al. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx062 · Cited by 147 · see citing works
Type 2 diabetes: genetic data sharing to advance complex disease research
Flannick, J. A., & Florez, J. C. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.56 · Cited by 145 · see citing works
Self-citationZinc: An underappreciated modulatory factor of brain function
Marger, L., Schubert, C. R., & Bertrand, D. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2014.08.002 · Cited by 146 · see citing works
Kraja, A. T., Liu, C., Fetterman, J. L., Graff, M., Have, C. T., Gu, C. C., Yanek, L. R., Feitosa, M. F., Arking, D. E., Chasman, D. I., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.12.001 · Cited by 145 · see citing works
Self-citationHayes, M. G., Urbanek, M., Hivert, M., Armstrong, L. L., Morrison, J., Guo, C., Lowe, L. P., Scheftner, D. A., Pluzhnikov, A., Levine, D., et al. (2013) · Diabetes · doi:10.2337/db12-1692 · Cited by 140 · see citing works
Diabetes Mellitus, Glycemic Traits, and Cerebrovascular Disease
Georgakis, M. K., Harshfield, E. L., Malik, R., Franceschini, N., Langenberg, C., Wareham, N. J., Markus, H. S., & Dichgans, M. (2021) · Neurology · doi:10.1212/wnl.0000000000011555 · Cited by 143 · see citing works
Self-citation† (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00034-0 · Cited by 133 · see citing works
The Genetic Landscape of Renal Complications in Type 1 Diabetes
Sandholm, N., Zuydam, N. V., Ahlqvist, E., Juliusdottir, T., Deshmukh, H., Rayner, N. W., Camillo, B. D., Forsblom, C. M., Fadista, J., Ziemek, D., et al. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2016020231 · Cited by 129 · see citing works
Self-citationPenetrance of Polygenic Obesity Susceptibility Loci across the Body Mass Index Distribution
Abadi, A., Alyass, A., Robiou-du-Pont, S., Bolker, B. M., Singh, P., Mohan, V., Díaz, R., Engert, J. C., Yusuf, S., Gerstein, H. C., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.10.007 · Cited by 121 · see citing works
Sex differences in disease genetics: evidence, evolution, and detection
Gilks, W. P., Abbott, J. K., & Morrow, E. H. (2014) · Trends in Genetics · doi:10.1016/j.tig.2014.08.006 · Cited by 123 · see citing works
PCSK1 Variants and Human Obesity
Ramos‐Molina, B., Martin, M., & Lindberg, I. (2016) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2015.12.001 · Cited by 125 · see citing works
Gestational Diabetes Mellitus and Its Implications across the Life Span
Wicklow, B. A., & Retnakaran, R. R. (2023) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2022.0348 · Cited by 126 · see citing works
Recent advances in understanding the genetic architecture of type 2 diabetes
Mohlke, K. L., & Boehnke, M. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv264 · Cited by 118 · see citing works
Self-citationWood, A. R., Jonsson, A., Jackson, A. U., Wang, N., van Leewen, N., Palmer, N. D., Kobes, S., Deelen, J., Boquete-Vilarino, L., Paananen, J., et al. (2017) · Diabetes · doi:10.2337/db16-1452 · Cited by 117 · see citing works
Self-citationTaneera, J., Fadista, J., Ahlqvist, E., Atac, D., Ottosson-Laakso, E., Wollheim, C. B., & Groop, L. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu610 · Cited by 115 · see citing works
Self-citationExome Sequencing and Genetic Testing for MODY
Johansson, S., Irgens, H. U., Chudasama, K., Molnes, J., Aerts, J. A., Roque, F. S., Jonassen, I., Levy, S., Lima, K., Knappskog, P. M., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038050 · Cited by 111 · see citing works
Cornelis, M. C., & Hu, F. B. (2012) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071811-150648 · Cited by 106 · see citing works
RNA-Binding Proteins Hold Key Roles in Function, Dysfunction, and Disease
Kelaini, S., Chan, C., Cornelius, V. A., & Margariti, A. (2021) · Biology · doi:10.3390/biology10050366 · Cited by 103 · see citing works
Diabetes and cancer risk: A Mendelian randomization study
Goto, A., Yamaji, T., Sawada, N., Momozawa, Y., Kamatani, Y., Kubo, M., Shimazu, T., Inoue, M., Noda, M., Tsugane, S., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32310 · Cited by 98 · see citing works
Distinction between the effects of parental and fetal genomes on fetal growth
Juliusdottir, T., Steinthórsdóttir, V., Stefánsdóttir, L., Sveinbjörnsson, G., Ivarsdottir, E. V., Þórólfsdóttir, R. B., Sigurdsson, J. K., Tragante, V., Hjörleifsson, K. E., Helgadóttir, A., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00896-x · Cited by 94 · see citing works
De, M., Oleskie, A. N., Ayyash, M. K., Dutta, S., Mancour, L. V., Abazeed, M. E., Brace, E. J., Skiniotis, G., & Fuller, R. S. (2017) · The Journal of Cell Biology · doi:10.1083/jcb.201606078 · Cited by 93 · see citing works
Concise Review: Induced Pluripotent Stem Cell Research in the Era of Precision Medicine
Hamazaki, T., Rouby, N. M. E., Fredette, N. C., Santostefano, K. E., & Terada, N. (2017) · Stem Cells · doi:10.1002/stem.2570 · Cited by 88 · see citing works
Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis
Berná, G., Oliveras‐López, M., Jurado‐Ruiz, E., Tejedo, J. R., Bedoya, F. J., Soria, B., & Martı́n, F. (2014) · Nutrients · doi:10.3390/nu6115338 · Cited by 91 · see citing works
Genetics of Type 2 Diabetes: Past, Present, and Future
Laakso, M., & Silva, L. F. (2022) · Nutrients · doi:10.3390/nu14153201 · Cited by 89 · see citing works
Self-citationCiccacci, C., Fusco, D. D., Cacciotti, L., Morganti, R., D’Amato, C., Novelli, G., Sangiuolo, F. C., Spallone, V., & Borgiani, P. (2012) · Acta Diabetologica · doi:10.1007/s00592-012-0418-x · Cited by 84 · see citing works
Ottosson-Laakso, E., Krus, U., Storm, P., Prasad, R. B., Oskolkov, N., Ahlqvist, E., Fadista, J., Hansson, O., Groop, L., & Vikman, P. J. (2017) · Diabetes · doi:10.2337/db17-0311 · Cited by 84 · see citing works
Self-citationIslet prohormone processing in health and disease
Chen, Y., Taylor, A. J., & Verchere, C. B. (2018) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13401 · Cited by 82 · see citing works
Leti, F., & DiStefano, J. K. (2017) · Genes · doi:10.3390/genes8080207 · Cited by 81 · see citing works
Genome-Wide Association Study of Peripheral Artery Disease
van Zuydam, N. R., Stiby, A. I., Abdalla, M., Austin, E. E., Dahlström, E. H., McLachlan, S., Vlachopoulou, E., Ahlqvist, E., Liao, C. D., Sandholm, N., et al. (2021) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.119.002862 · Cited by 80 · see citing works
Self-citationVPS13A, a closely associated mitochondrial protein, is required for efficient lysosomal degradation
Muñoz‐Braceras, S., Tornero-Écija, A., Vincent, O., & Escalante, R. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.036681 · Cited by 81 · see citing works
Kulzer, J. R., Stitzel, M. L., Morken, M. A., Huyghe, J. R., Fuchsberger, C., Kuusisto, J., Laakso, M., Boehnke, M., Collins, F. S., & Mohlke, K. L. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.12.011 · Cited by 76 · see citing works
Self-citationA nonsense loss-of-function mutation in PCSK1 contributes to dominantly inherited human obesity
Philippe, J., Stijnen, P., Meyre, D., Graeve, F. D., Thuillier, D., Delplanque, J., Gyapay, G., Sand, O., Creemers, J. W. M., Froguel, P., et al. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.96 · Cited by 73 · see citing works
Self-citationStančáková, A., & Laakso, M. (2016) · Endocrine development · doi:10.1159/000439418 · Cited by 71 · see citing works
Self-citationGhanbari, M., Franco, O. H., de Looper, H. W. J., Albert Hofman, D., Erkeland, S. J., & Dehghan, A. (2015) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.114.000968 · Cited by 67 · see citing works
Genomics of Islet (Dys)function and Type 2 Diabetes
Lawlor, N. T., Khetan, S., Ucar, D., & Stitzel, M. L. (2017) · Trends in Genetics · doi:10.1016/j.tig.2017.01.010 · Cited by 64 · see citing works
Nead, K. T., Li, A., Wehner, M. R., Neupane, B., Gustafsson, S., Butterworth, A. S., Engert, J. C., Davis, A. D., Hegele, R. A., Miller, R., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv097 · Cited by 63 · see citing works
Self-citationDecreased STARD10 Expression Is Associated with Defective Insulin Secretion in Humans and Mice
Carrat, G., Hu, M., Nguyen‐Tu, M., CHABOSSEAU, P. L., Gaulton, K. J., van de Bunt, M., Siddiq, A., Falchi, M., Thurner, M., Canouil, M., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.011 · Cited by 62 · see citing works
Self-citationGenetic variation in CADM2 as a link between psychological traits and obesity
Morris, J., Bailey, M. E. S., Baldassarre, D., Cullen, B., Fairé, U. D., Ferguson, A., Gigante, B., Giral, P., Goel, A., Graham, N., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-43861-9 · Cited by 58 · see citing works
Self-citationKycia, I., Wolford, B. N., Huyghe, J. R., Fuchsberger, C., Vadlamudi, S., Kursawe, R., Welch, R., Albanus, R. D., Uyar, A., Khetan, S., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.02.020 · Cited by 57 · see citing works
Self-citationKuo, T., Kraakman, M. J., Damle, M., Gill, R. J., Lazar, M. A., & Accili, D. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1904311116 · Cited by 60 · see citing works
Genetics of the First Seven Proprotein Convertase Enzymes in Health and Disease
Turpeinen, H., Ortutay, Z., & Pesu, M. (2013) · Current Genomics · doi:10.2174/1389202911314050010 · Cited by 59 · see citing works
Interventions to Preserve Beta-Cell Function in the Management and Prevention of Type 2 Diabetes
Page, K. A., & Reisman, T. (2013) · Current Diabetes Reports · doi:10.1007/s11892-013-0363-2 · Cited by 60 · see citing works
The Association of Common Variants in PCSK1 With Obesity: A HuGE Review and Meta-Analysis
Stijnen, P., Tuand, K., Varga, T. V., Franks, P. W., Aertgeerts, B., & Creemers, J. W. M. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu237 · Cited by 58 · see citing works
Segrè, A. V., Wei, N., MAGIC Investigators, Altshuler, D., & Florez, J. C. (2014) · Diabetes · doi:10.2337/db14-0703 · Cited by 57 · see citing works
Self-citationAssociation of Birth Weight With Type 2 Diabetes and Glycemic Traits
BIRTH-GENE (BIG) Study Working Group, Huang, T., Wang, T., Zheng, Y., Ellervik, C., Li, X., Gao, M. Q., Fang, Z. A., Chai, J. F., Ahluwalia, T. S., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.10915 · Cited by 57 · see citing works
Self-citationApplications of the 1000 Genomes Project resources
Zheng-Bradley, X., & Flicek, P. (2016) · Briefings in Functional Genomics · doi:10.1093/bfgp/elw027 · Cited by 56 · see citing works
Wu, Y., Broadaway, K. A., Raulerson, C. K., Scott, L. J., Pan, C., Ko, A., He, A., Tilford, C. A., Fuchsberger, C., Locke, A. E., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz263 · Cited by 52 · see citing works
Self-citationInsights into the genetic basis of type 2 diabetes
Kato, N. (2013) · Journal of Diabetes Investigation · doi:10.1111/jdi.12067 · Cited by 53 · see citing works
Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth
Kaufman, J., Montalvo‐Ortiz, J. L., Holbrook, H. M., O’Loughlin, K., Orr, C., Kearney, C., Yang, B., Wang, T., Zhao, H., Althoff, R. R., et al. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.06.051 · Cited by 56 · see citing works
Meng, Y., Eirin, A., Zhu, X., Tang, H. R., Chanana, P., Lerman, A., van Wijnen, A. J., & Lerman, L. O. (2017) · Cytometry Part A · doi:10.1002/cyto.a.23165 · Cited by 54 · see citing works
Finding genes and variants for lipid levels after genome-wide association analysis
Willer, C. J., & Mohlke, K. L. (2012) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e328350fad2 · Cited by 53 · see citing works
Löffler, D., Behrendt, S., Creemers, J. W. M., Klammt, J., Aust, G., Staník, J., Kieß, W., Kovacs, P. L., & Körner, A. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.12.002 · Cited by 50 · see citing works
Kong, X., Zhang, X., Xing, X., Zhang, B., Hong, J., & Yang, W. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143607 · Cited by 49 · see citing works
Fine-mapping diabetes-related traits, including insulin resistance, in heterogeneous stock rats
Woods, L. C. S., Holl, K. L., Oreper, D., Xie, Y., Tsaih, S., & Valdar, W. S. J. (2012) · Physiological Genomics · doi:10.1152/physiolgenomics.00040.2012 · Cited by 48 · see citing works
Florez, J. C., Jablonski, K. A., McAteer, J. B., Franks, P. W., Mason, C. C., Mather, K. J., Horton, E. S., Goldberg, R. B., Dabelea, D., Kahn, S. E., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044424 · Cited by 47 · see citing works
Self-citationMarullo, L., Moustafa, J. S. E.-S., & Prokopenko, I. (2014) · Current Diabetes Reports · doi:10.1007/s11892-014-0551-8 · Cited by 46 · see citing works
Self-citationFactors Associated with Beta-Cell Dysfunction in Type 2 Diabetes: The BETADECLINE Study
Russo, G. T., Giorda, C. B., Cercone, S., Nicolucci, A., Cucinotta, D., & on behalf of BetaDecline Study Group (2014) · PLoS ONE · doi:10.1371/journal.pone.0109702 · Cited by 46 · see citing works
Gong, W., Xiao, D., Ming, G.-F., Yin, J., Zhou, H., & Liu, Z. (2014) · Journal of Diabetes · doi:10.1111/1753-0407.12143 · Cited by 45 · see citing works
Liew, C. W., Aßmann, A., Templin, A. T., Raum, J. C., Lipson, K. L., Rajan, S., Qiang, G., Hu, J., Kawamori, D., Lindberg, I., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323066111 · Cited by 45 · see citing works
Yang, R., Xue, H., Yu, L., Velayos‐Baeza, A., Monaco, A. P., & Liu, F. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153534 · Cited by 45 · see citing works
- Authors
- 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., Nica, A., Wheeler, E., Chen, H., Voight, B. F., Taneera, J., Kanoni, S., Peden, J. F., Turrini, F., Gustafsson, S., Zabena, C., Almgren, P., Barker, D. J. P., Barnes, D., Dennison, E. M., Eriksson, J. G., Eriksson, P., Eury, E., Folkersen, L., Fox, C. S., Frayling, T. M., Goel, A., Gu, H. F., Horikoshi, M., Isomaa, B., Jackson, A. U., Jameson, K. A., Kajantie, E., Kerr-Conte, J., Kuulasmaa, T., Kuusisto, J., Loos, R. J. F., Luan, J., Makrilakis, K., Manning, A. K., Martínez-Larrad, M. T., Narisu, N., Nastase Mannila, M., Öhrvik, J., Osmond, C., Pascoe, L., Payne, F., Sayer, A. A., Sennblad, B., Silveira, A., Stančáková, A., Stirrups, K., Swift, A. J., Syvänen, A.-C., Tuomi, T., van 't Hooft, F. M., Walker, M., Weedon, M. N., Xie, W., Zethelius, B., the DIAGRAM Consortium, the GIANT Consortium, the MuTHER Consortium, the CARDIoGRAM Consortium, the C4D Consortium, Ongen, H., Mälarstig, A., Hopewell, J. C., Saleheen, D., Chambers, J., Parish, S., Danesh, J., Kooner, J., Östenson, C.-G., Lind, L., Cooper, C. C., Serrano-Ríos, M., Ferrannini, E., Forsen, T. J., Clarke, R., Franzosi, M. G., Seedorf, U., Watkins, H., Froguel, P., Johnson, P., Deloukas, P., Collins, F. S., Laakso, M., Dermitzakis, E. T., Boehnke, M., McCarthy, M. I., Wareham, N. J., Groop, L., Pattou, F., Gloyn, A. L., Dedoussis, G. V., Lyssenko, V., Meigs, J. B., Barroso, I., Watanabe, R. M., Ingelsson, E., Langenberg, C., Hamsten, A., & Florez, J. C.
- Affiliations
- Karolinska University Hospital (SE)
- Boston University (US)
- Centre for Human Genetics (GB)
- Addenbrooke's Hospital (GB)
- Lund University (SE)
- University of Glasgow (GB)
- University of Oxford (GB)
- Université Lille-Nord de France, Lille, France
- University of Geneva (CH)
- Wellcome Sanger Institute (GB)
- Broad Institute (US)
- University of Verona (IT)
- Karolinska Institutet (SE)
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Oregon Health & Science University (US)
- Southampton General Hospital (GB)
- University of Helsinki (FI)
- Centre National de la Recherche Scientifique (FR)
- Brigham and Women's Hospital (US)
- University of Exeter (GB)
- Folkhälsans Forskningscentrum (FI)
- University of Michigan (US)
- Inserm (FR)
- Kuopio University Hospital (FI)
- Laiko General Hospital of Athens (GR)
- Hospital Clínico San Carlos (ES)
- National Institutes of Health (US)
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden
- Newcastle University (GB)
- Uppsala University (SE)
- Folkhälsan Research Centre, Helsinki, Finland
- University of Cambridge (GB)
- Ealing Hospital NHS Trust (GB)
- University of Pisa (IT)
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Mario Negri Institute for Pharmacological Research (IT)
- University of Münster (DE)
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, U.K.
- Harokopio University of Athens (GR)
- Harvard University (US)
- University of Southern California (US)
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Corresponding author
- Langenberg, Claudia
- Hamsten, Anders
- ORCID
- Strawbridge, Rona J.
- Dupuis, Josée
- Prokopenko, Inga
- Barker, Adam
- Ahlqvist, Emma
- Rybin, Denis
- Petrie, John R.
- Dimas, Antigone S.
- Wheeler, Eleanor
- Chen, Han
- Voight, Benjamin F.
- Taneera, Jalal
- Kanoni, Stavroula
- Gustafsson, Stefan
- Almgren, Peter
- Barnes, Daniel
- Dennison, Elaine M.
- Eriksson, Johan G.
- Eriksson, Per
- Folkersen, Lasse
- Fox, Caroline S.
- Frayling, Timothy M.
- Goel, Anuj
- Gu, Harvest F.
- Horikoshi, Momoko
- Jackson, Anne U.
- Kajantie, Eero
- Kerr-Conte, Julie
- Kuulasmaa, Teemu
- Kuusisto, Johanna
- Loos, Ruth J.F.
- Luan, Jian'an
- Makrilakis, Konstantinos
- Manning, Alisa K.
- Narisu, Narisu
- Öhrvik, John
- Osmond, Clive
- Pascoe, Laura
- Payne, Felicity
- Sayer, Avan A.
- Sennblad, Bengt
- Silveira, Angela
- Walker, Mark
- Weedon, Michael N.
- Xie, Weijia
- Zethelius, Björn
- Ongen, Halit
- Mälarstig, Anders
- Hopewell, Jemma C.
- Saleheen, Danish
- Chambers, John
- Parish, Sarah
- Danesh, John
- Kooner, Jaspal
- Lind, Lars
- Cooper, Cyrus C.
- Ferrannini, Ele
- Clarke, Robert
- Seedorf, Udo
- Watkins, Hugh
- Froguel, Philippe
- Deloukas, Panos
- Collins, Francis S.
- Laakso, Markku
- Dermitzakis, Emmanouil T.
- Boehnke, Michael
- McCarthy, Mark I.
- Wareham, Nicholas J.
- Groop, Leif
- Pattou, François
- Gloyn, Anna L.
- Dedoussis, George V.
- Lyssenko, Valeriya
- Meigs, James B.
- Barroso, Inês
- Watanabe, Richard M.
- Ingelsson, Erik
- Langenberg, Claudia
- Hamsten, Anders
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2011-09-16
- Volume
- 60
- Issue
- 10
- Pages
- 2624-2634
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- PMC
- PMC3178302
- OpenAlex
- W2151600164
- Cited by
- 356
- References
- 50
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 12 · 2023: 16 · 2022: 18 · 2021: 23 · 2020: 23 · 2019: 27 · 2018: 27 · 2017: 36 · 2016: 30 · 2015: 30 · 2014: 39 · 2013: 29 · 2012: 31
- FWCI
- 19.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion, cc-by-nc-nd)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, other-oa)
- UWA Profiles and Research Repository (UWA) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Leiden Repository (Leiden University) (submittedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by-nc-nd)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Scopus (Elsevier) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc-nd)
- Radboud Repository (Radboud University) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- OPUS (Augsburg University) (submittedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Apollo (cc-by)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Wellcome Trust (083270/Z/07/Z, 077016/Z/05/Z, 090532)
- National Institute for Health and Care Research (NF-SI-0508-10082)
- British Heart Foundation (RG/08/014/24067)
- Novo Nordisk Fonden (#NNF10OC1013354)
- Medical Research Council (MC_PC_U127592696, MC_PC_U127561128, MRC_MC_UP_A620_1015, G0601966, G0601261, MC_UP_A620_1014, G0700931)
- National Heart, Lung, and Blood Institute (U01HL054527)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK078616, K24DK080140, DK-062370)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Keywords
- proinsulin, type 2 diabetes, single nucleotide polymorphisms, genetic loci, beta-cell function, fasting blood glucose, insulin resistance, ARAP1, PCSK1, prohormone convertase 1/3, TCF7L2, SLC30A8, VPS13C, MADD, LARP6, coronary artery disease, glucose homeostasis
- MeSH terms
- Adult, Diabetes Mellitus, Type 2, Fasting, Female, Genotype, Humans, Insulin, Male, Proinsulin, Genetic Variation, Genome, Human, Polymorphism, Single Nucleotide
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
