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Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia
Abstract
Genome-wide association studies have identified common variants that only partially explain the genetic risk for type 2 diabetes (T2D). Using genome-wide association data from 1,376 French individuals, we identified 16,360 SNPs nominally associated with T2D and studied these SNPs in an independent sample of 4,977 French individuals. We then selected the 28 best hits for replication in 7,698 Danish subjects and identified 4 SNPs showing strong association with T2D, one of which (rs2943641, P = 9.3 x 10(-12), OR = 1.19) was located adjacent to the insulin receptor substrate 1 gene (IRS1). Unlike previously reported T2D risk loci, which predominantly associate with impaired beta cell function, the C allele of rs2943641 was associated with insulin resistance and hyperinsulinemia in 14,358 French, Danish and Finnish participants from population-based cohorts; this allele was also associated with reduced basal levels of IRS1 protein and decreased insulin induction of IRS1-associated phosphatidylinositol-3-OH kinase activity in human skeletal muscle biopsies.
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“The failure to identify a qualitative or monogenic inheritance pattern and the findings from GWAS, MR, familial and twin studies, suggests that the heritability of PCOS is likely to be due to the combination of multiple genes with small effect size, as has been found with obesity and type 2 diabetes [79,80,94,95,96].”
From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [94]
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Cites
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
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,871
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
A genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993
Self-citationGenome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Type 2 diabetes: principles of pathogenesis and therapy
Stumvoll, M., Goldstein, B. J., & van Haeften, T. W. (2005) · The Lancet · doi:10.1016/s0140-6736(05)61032-x · Cited by 2,662
Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease
the NIDDK IBD Genetics Consortium, Barrett, J. C., the Belgian-French IBD Consortium, the Wellcome Trust Case Control Consortium, Hansoul, S., Nicolae, D. L., Cho, J. H., Duerr, R. H., Rioux, J. D., Brant, S. R., et al. (2008) · Nature Genetics · doi:10.1038/ng.175 · Cited by 2,593
Genome-wide association study identifies novel breast cancer susceptibility loci
Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D. P., Thompson, D., Ballinger, D. G., Struewing, J. P., Morrison, J., Field, H., Luben, R., et al. (2007) · Nature · doi:10.1038/nature05887 · Cited by 2,319
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Genomewide Association Analysis of Coronary Artery Disease
Samani, N. J., Erdmann, J., Hall, A. S., Hengstenberg, C., Mangino, M., Mayer, B., Dixon, R. J., Meitinger, T., Braund, P., Wichmann, H.-E., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072366 · Cited by 2,044
Wellcome Trust Case Control Consortium, Zeggini, E., Scott, L. J., Saxena, R., Voight, B. F., Marchini, J. L., Hu, T., de Bakker, P. I., Abecasis, G. R., Almgren, P., et al. (2008) · Nature Genetics · doi:10.1038/ng.120 · Cited by 1,864
Self-citationDisruption of IRS-2 causes type 2 diabetes in mice
Withers, D. J., Gutierrez, J. S., Towery, H. H., Burks, D. J., Ren, J., Previs, S. F., Zhang, Y., Bernal, D., Pons, S., Shulman, G. I., et al. (1998) · Nature · doi:10.1038/36116 · Cited by 1,775
Alternative pathway of insulin signalling in mice with targeted disruption of the IRS-1 gene
Araki, E., Lipes, M. A., Patti, M.-E., Brüning, J. C., Haag III, B., Johnson, R. S., & Kahn, C. R. (1994) · Nature · doi:10.1038/372186a0 · Cited by 1,252
Insulin resistance and growth retardation in mice lacking insulin receptor substrate-1
Tamemoto, H., Kadowaki, T., Tobe, K., Yagi, T., Sakura, H., Hayakawa, T., Terauchi, Y., Ueki, K., Kaburagi, Y., Satoh, S., et al. (1994) · Nature · doi:10.1038/372182a0 · Cited by 1,081
A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
Steinthorsdottir, V., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Jonsdottir, T., Walters, G. B., Styrkarsdottir, U., Gretarsdottir, S., Emilsson, V., Ghosh, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2043 · Cited by 1,072
Self-citationMultiple loci identified in a genome-wide association study of prostate cancer
Thomas, G. D., Jacobs, K. B., Yeager, M., Kraft, P. L., Wacholder, S., Orr, N., Yu, K. F., Chatterjee, N., Welch, R., Hutchinson, A. A., et al. (2008) · Nature Genetics · doi:10.1038/ng.91 · Cited by 903
Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus
Yasuda, K., Miyake, K., Horikawa, Y., Hara, K., Osawa, H., Furuta, H., Hirota, Y., Mori, H., Jonsson, A., Sato, Y., et al. (2008) · Nature Genetics · doi:10.1038/ng.207 · Cited by 776
Unoki, H., Takahashi, A., Kawaguchi, T., Hara, K., Horikoshi, M., Andersen, G., Ng, D. P. K., Holmkvist, J., Borch-Johnsen, K., Jørgensen, T., et al. (2008) · Nature Genetics · doi:10.1038/ng.208 · Cited by 725
Self-citationGudmundsson, J., Sulem, P., Steinthorsdottir, V., Bergthorsson, J. T., Thorleifsson, G., Manolescu, A., Rafnar, T., Gudbjartsson, D., Agnarsson, B. A., Baker, A., et al. (2007) · Nature Genetics · doi:10.1038/ng2062 · Cited by 723
Self-citationBouatia-Naji, N., Bonnefond, A., Cavalcanti-Proença, C., Sparsø, T., Holmkvist, J., Marchand, M., Delplanque, J., Lobbens, S., Rocheleau, G., Durand, E., et al. (2009) · Nature Genetics · doi:10.1038/ng.277 · Cited by 611
Self-citationJørgensen, T., Borch‐Johnsen, K., Thomsen, T. F., Ibsen, H., Glümer, C., & Pisinger, C. H. (2003) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/01.hjr.0000096541.30533.82 · Cited by 416
Self-citationGenetic variation in PSCA is associated with susceptibility to diffuse-type gastric cancer
The Study Group of Millennium Genome Project for Cancer (2008) · Nature Genetics · doi:10.1038/ng.152 · Cited by 389
Defects of the insulin receptor substrate (IRS) system in human metabolic disorders
Sesti, G., Federici, M., Hribal, M. L., Lauro, D., Sbraccia, P., & Lauro, R. (2001) · The FASEB Journal · doi:10.1096/fj.01-0009rev · Cited by 363
Aminoacid polymorphisms of insulin receptor substrate-1 in non-insulin-dependent diabetes mellitus
Almind, K., Bjørbæk, C., Vestergaard, H., Hansen, T. F., Echwald, S. M., & Pedersen, O. B. (1993) · The Lancet · doi:10.1016/0140-6736(93)92694-o · Cited by 321
Self-citationMouse models of insulin resistance
Hribal, M. L., Oriente, F., & Accili, D. (2002) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00561.2001 · Cited by 251
Mouse Models of Insulin Resistance
Nandi, A. A., KITAMURA, Y., Kahn, C. R., & Accili, D. (2004) · Physiological Reviews · doi:10.1152/physrev.00032.2003 · Cited by 249
GRuttenfor the ADDITION Study Group, Lauritzen, T., Griffin, S. J., Borch‐Johnsen, K., Wareham, N., & Wolffenbuttel, B. H. R. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801420 · Cited by 247
Self-citationAlmind, K., Inoue, G., Pedersen, O. B., & Kahn, C. R. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118705 · Cited by 228
Self-citationClausen, J. O., Hansen, T. F., Bjørbæk, C., Echwald, S. M., Urhammer, S. A., Rasmussen, S. S., Andersen, C., Hansen, L., Almind, K., Pedersen, O. B., et al. (1995) · The Lancet · doi:10.1016/s0140-6736(95)92779-4 · Cited by 213
Self-citationPoulsen, P., Levin, K., Petersen, I., Christensen, K., Beck-Nielsen, H., & Vaag, A. (2005) · Diabetes · doi:10.2337/diabetes.54.1.275 · Cited by 166 · cited 1×
“In vivo glucose metabolism and skeletal muscle IRS1 protein were investigated in 190 monozygotic ( n = 103, 40 pairs and 3 single twins, respectively) and same-sex dizygotic ( n = 87, 43 pairs and 1 single twin, respectively) twins aged 25–66 years without known T2”
BackgroundSelf-citationJellema, A., Zeegers, M. P., Feskens, E. J. M., Dagnelie, P. C., & Mensink, R. P. (2003) · Diabetologia · doi:10.1007/s00125-003-1126-4 · Cited by 144
Terauchi, Y., Iwamoto, K., Tamemoto, H., Komeda, K., Ishii, C., Kanazawa, Y., Asanuma, N., Aizawa, T., Akanuma, Y., Yasuda, K., et al. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119250 · Cited by 142
Ecological and individual predictors of birthweight in a northern Finland birth cohort 1986
Järvelin, M., Elliott, P., Kleinschmidt, I., Martuzzi, M., Grundy, C., Hartikainen, A., & Rantakallio, P. T. (1997) · Paediatric and Perinatal Epidemiology · doi:10.1111/j.1365-3016.1997.tb00007.x · Cited by 136
Self-citationOptimal designs for two‐stage genome‐wide association studies
Skol, A. D., Scott, L. J., Abecasis, G. R., & Boehnke, M. (2007) · Genetic Epidemiology · doi:10.1002/gepi.20240 · Cited by 129
Højlund, K., Stæhr, P., Hansen, B. F., Green, K. A., Hardie, D. G., Richter, E. A., Beck‐Nielsen, H., & Wojtaszewski, J. F. P. (2003) · Diabetes · doi:10.2337/diabetes.52.6.1393 · Cited by 123
Self-citationFlorez, J. C., Sjögren, M., Burtt, N. P., Orho‐Melander, M., Schayer, S., Sun, M. W., Almgren, P., Lindblad, U., Tuomi, T., Gaudet, D., et al. (2004) · Diabetes · doi:10.2337/diabetes.53.12.3313 · Cited by 84
Too much of a good thing: why it is bad to stimulate the beta cell to secrete insulin
Aston‐Mourney, K., Proietto, J., Morahan, G., & Andrikopoulos, S. (2008) · Diabetologia · doi:10.1007/s00125-008-0930-2 · Cited by 79
Balkau, B. (1996) · PubMed · Cited by 77
Self-citationZeggini, E., Parkinson, J. R. C., Halford, S., Owen, K. R., Frayling, T. M., Walker, M., Hitman, G. A., Lévy, J., Sampson, M., Feskens, E. J. M., et al. (2004) · Diabetes · doi:10.2337/diabetes.53.12.3319 · Cited by 39
Poulsen, P., Wojtaszewski, J. F. P., Petersen, I., Christensen, K., Richter, E. A., Beck‐Nielsen, H., & Vaag, A. A. (2005) · Diabetes · doi:10.2337/diabetes.54.5.1289 · Cited by 28
Self-citationFlorez, J. C., Sjögren, M., Agapakis, C. M., Burtt, N. P., Almgren, P.-E., Lindblad, U., Berglund, G., Tuomilehto, J., Gaudet, D., Daly, M. J., et al. (2007) · Diabetologia · doi:10.1007/s00125-007-0657-5 · Cited by 13
Alberti (1998) · doi:10.1002/(sici)1096-9136(199807)15:7
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Background
Metadata
- Authors
- Rung, J., Cauchi, S., Albrechtsen, A., Shen, L., Rocheleau, G., Cavalcanti-Proença, C., Bacot, F., Balkau, B., Belisle, A., Borch-Johnsen, K., Charpentier, G., Dina, C., Durand, E., Elliott, P., Hadjadj, S., Järvelin, M.-R., Laitinen, J., Lauritzen, T., Marre, M., Mazur, A., Meyre, D., Montpetit, A., Pisinger, C., Posner, B., Poulsen, P., Pouta, A., Prentki, M., Ribel-Madsen, R., Ruokonen, A., Sandbaek, A., Serre, D., Tichet, J., Vaxillaire, M., Wojtaszewski, J. F. P., Vaag, A., Hansen, T., Polychronakos, C., Pedersen, O., Froguel, P., & Sladek, R.
- Affiliations
- McGill University and Génome Québec Innovation Centre (CA)
- Centre National de la Recherche Scientifique (FR)
- University of Copenhagen (DK)
- Université Paris-Sud (FR)
- Centre Hospitalier Sud Francilien (FR)
- Imperial College London (GB)
- Inserm (FR)
- Finnish Institute of Occupational Health (FI)
- Aarhus University (DK)
- Glostrup Hospital (DK)
- McGill University (CA)
- Centre Hospitalier de l’Université de Montréal (CA)
- University of Oulu (FI)
- Lund University (SE)
- University of Southern Denmark (DK)
- Corresponding author
- Pedersen, Oluf
- Froguel, Philippe
- Sladek, Robert
- ORCID
- Rung, Johan
- Cauchi, Stéphane
- Albrechtsen, Anders
- Rocheleau, Ghislain
- Balkau, Beverley
- Charpentier, Guillaume
- Durand, Emmanuelle
- Elliott, Paul
- Hadjadj, Samy
- Järvelin, Marjo-Riitta
- Laitinen, Jaana
- Lauritzen, Torsten
- Marre, Michel
- Meyre, David
- Pisinger, Charlotta
- Prentki, Marc
- Serre, David
- Vaxillaire, Martine
- Wojtaszewski, Jørgen F P
- Vaag, Allan
- Hansen, Torben
- Polychronakos, Constantin
- Pedersen, Oluf
- Froguel, Philippe
- Sladek, Robert
- Venue
- Nature Genetics
- Published
- 2009-09-06
- Volume
- 41
- Issue
- 10
- Pages
- 1110-1115
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2044518560
- Cited by
- 479
- References
- 43
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 16 · 2023: 11 · 2022: 37 · 2021: 16 · 2020: 19 · 2019: 14 · 2018: 13 · 2017: 21 · 2016: 30 · 2015: 40 · 2014: 42 · 2013: 47 · 2012: 58
- FWCI
- 31.00
- Type
- journal article
- Language
- en
- Update notices
- erratum (2009-10-01)
- Open access
- closed
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- type 2 diabetes, insulin resistance, hyperinsulinemia, IRS-1, genetic susceptibility, single nucleotide polymorphisms, insulin signaling, skeletal muscle, genetic susceptibility loci
- MeSH terms
- Adult, Alleles, Biopsy, Diabetes Mellitus, Type 2, Female, Humans, Hyperinsulinism, Insulin Resistance, Male, Middle Aged, Genome, Human, Muscle, Skeletal, Phosphatidylinositol 3-Kinases, Polymorphism, Single Nucleotide, White People, Genome-Wide Association Study, Insulin Receptor Substrate Proteins
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