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Feng X, Tucker KL, Parnell LD, Shen J, Lee YC, Ordovás JM, Ling WH, Lai CQ. Insulin receptor substrate 1 (IRS1) variants confer risk of diabetes in the Boston Puerto Rican Health Study. Asia Pac J Clin Nutr 2013; 22:150-9. [PMID: 23353623 DOI: 10.6133/apjcn.2013.22.1.09] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Published data concerning associations between IRS1 variants and type 2 diabetes and related traits have been inconsistent. We examined the relationship between common variants in IRS1, type 2 diabetes, and related traits including insulin resistance, hyperglycemia and DNA damage in the Boston Puerto Rican Health Study. METHODS We genotyped six common IRS1 variants in an adult Puerto Rican population (n=1132) and tested for association with risk of type 2 diabetes and related traits. RESULTS SNPs rs934167 and rs1801123 showed significant association with fasting glucose concentrations (p = 0.005 and p = 0.016, respectively) and rs934167 showed significant association with plasma insulin levels (p = 0.005). Carriers of the rs934167 minor allele had significantly higher HOMA-IR and lower QUICKI (p = 0.001 and p = 0.001, respectively), and a 40% and 58% greater likelihood of being hyperglycaemic or hyperinsulinemic (OR = 1.40 and 1.58; p = 0.013 and 0.002, respectively). However, they exhibited only a marginally significant trend towards having type 2 diabetes (OR=1.27, p = 0.077). Furthermore, carriers of the haplotype C-T of the rs934167 and rs1801123 minor alleles showed consistent patterns of associations after correction for multiple testing. In addition, the G972R (rs1801278) minor allele was significantly associated with higher urinary 8-OHdG concentrations (p = 0.020) and plasma CRP levels (p = 0.035). CONCLUSIONS Our results support IRS1 variants associated with type 2 diabetes risk in adult Puerto Ricans. Moreover, we report the novel finding that IRS1 variant G972R (rs1801278) may contribute to oxidative DNA damage and inflammation.
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Affiliation(s)
- Xiang Feng
- Departmennt of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou, China
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Reiling E, Jafar-Mohammadi B, van ’t Riet E, Weedon MN, van Vliet-Ostaptchouk JV, Hansen T, Saxena R, van Haeften TW, Arp PA, Das S, Nijpels G, Groenewoud MJ, van Hove EC, Uitterlinden AG, Smit JWA, Morris AD, Doney ASF, Palmer CNA, Guiducci C, Hattersley AT, Frayling TM, Pedersen O, Slagboom PE, Altshuler DM, Groop L, Romijn JA, Maassen JA, Hofker MH, Dekker JM, McCarthy MI, ’t Hart LM. Genetic association analysis of LARS2 with type 2 diabetes. Diabetologia 2010; 53:103-10. [PMID: 19847392 PMCID: PMC2789927 DOI: 10.1007/s00125-009-1557-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2009] [Accepted: 09/10/2009] [Indexed: 12/21/2022]
Abstract
AIMS/HYPOTHESIS LARS2 has been previously identified as a potential type 2 diabetes susceptibility gene through the low-frequency H324Q (rs71645922) variant (minor allele frequency [MAF] 3.0%). However, this association did not achieve genome-wide levels of significance. The aim of this study was to establish the true contribution of this variant and common variants in LARS2 (MAF > 5%) to type 2 diabetes risk. METHODS We combined genome-wide association data (n = 10,128) from the DIAGRAM consortium with independent data derived from a tagging single nucleotide polymorphism (SNP) approach in Dutch individuals (n = 999) and took forward two SNPs of interest to replication in up to 11,163 Dutch participants (rs17637703 and rs952621). In addition, because inspection of genome-wide association study data identified a cluster of low-frequency variants with evidence of type 2 diabetes association, we attempted replication of rs9825041 (a proxy for this group) and the previously identified H324Q variant in up to 35,715 participants of European descent. RESULTS No association between the common SNPs in LARS2 and type 2 diabetes was found. Our replication studies for the two low-frequency variants, rs9825041 and H324Q, failed to confirm an association with type 2 diabetes in Dutch, Scandinavian and UK samples (OR 1.03 [95% CI 0.95-1.12], p = 0.45, n = 31,962 and OR 0.99 [0.90-1.08], p = 0.78, n = 35,715 respectively). CONCLUSIONS/INTERPRETATION In this study, the largest study examining the role of sequence variants in LARS2 in type 2 diabetes susceptibility, we found no evidence to support previous data indicating a role in type 2 diabetes susceptibility.
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Affiliation(s)
- E. Reiling
- Department of Molecular Cell Biology, Leiden University Medical Center (LUMC), P.O. Box 9600, 2300RC Leiden, the Netherlands
| | - B. Jafar-Mohammadi
- Oxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
- National Institute for Health Research, Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - E. van ’t Riet
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
| | - M. N. Weedon
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
- Diabetes Genetics Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
| | - J. V. van Vliet-Ostaptchouk
- Molecular Genetics, Medical Biology Section, Department of Pathology and Medical Biology, University Medical Centre Groningen and University of Groningen, Groningen, the Netherlands
| | - T. Hansen
- Steno Diabetes Center and Hagedorn Research Institute, Gentofte, Denmark
- Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | - R. Saxena
- Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA USA
| | - T. W. van Haeften
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - P. A. Arp
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - S. Das
- Oxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | - G. Nijpels
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
- Department of General Practice, VU University Medical Center, Amsterdam, the Netherlands
| | - M. J. Groenewoud
- Department of Molecular Cell Biology, Leiden University Medical Center (LUMC), P.O. Box 9600, 2300RC Leiden, the Netherlands
| | - E. C. van Hove
- Department of Molecular Cell Biology, Leiden University Medical Center (LUMC), P.O. Box 9600, 2300RC Leiden, the Netherlands
| | - A. G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - J. W. A. Smit
- Department of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - A. D. Morris
- Diabetes Research Group, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - A. S. F. Doney
- Diabetes Research Group, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - C. N. A. Palmer
- Diabetes Research Group, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - C. Guiducci
- Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA USA
| | - A. T. Hattersley
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
- Diabetes Genetics Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
| | - T. M. Frayling
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
- Diabetes Genetics Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
| | - O. Pedersen
- Steno Diabetes Center and Hagedorn Research Institute, Gentofte, Denmark
- Faculty of Health Science, Aarhus University, Aarhus, Denmark
- Faculty of Health Science, University of Copenhagen, Copenhagen, Denmark
| | - P. E. Slagboom
- Department of Medical Statistics, Leiden University Medical Center, Leiden, the Netherlands
| | - D. M. Altshuler
- Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA USA
- Center for Human Genetic Research and Department of Molecular Biology, Massachusetts General Hospital, Boston, MA USA
- Department of Genetics, Harvard Medical School, Boston, MA USA
| | - L. Groop
- Department of Clinical Sciences, University Hospital Malmö, Clinical Research Center, Lund University, Malmö, Sweden
- Department of Medicine, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - J. A. Romijn
- Department of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - J. A. Maassen
- Department of Molecular Cell Biology, Leiden University Medical Center (LUMC), P.O. Box 9600, 2300RC Leiden, the Netherlands
- Department of Endocrinology, VU Medical Center, Amsterdam, the Netherlands
| | - M. H. Hofker
- Molecular Genetics, Medical Biology Section, Department of Pathology and Medical Biology, University Medical Centre Groningen and University of Groningen, Groningen, the Netherlands
| | - J. M. Dekker
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
| | - M. I. McCarthy
- Oxford Center for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
- National Institute for Health Research, Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - L. M. ’t Hart
- Department of Molecular Cell Biology, Leiden University Medical Center (LUMC), P.O. Box 9600, 2300RC Leiden, the Netherlands
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Burguete-Garcia AI, Cruz-Lopez M, Madrid-Marina V, Lopez-Ridaura R, Hernández-Avila M, Cortina B, Gómez RE, Velasco-Mondragón E. Association of Gly972Arg polymorphism of IRS1 gene with type 2 diabetes mellitus in lean participants of a national health survey in Mexico: a candidate gene study. Metabolism 2010; 59:38-45. [PMID: 19716569 DOI: 10.1016/j.metabol.2009.07.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2009] [Revised: 06/30/2009] [Accepted: 07/06/2009] [Indexed: 10/20/2022]
Abstract
Type 2 diabetes mellitus (T2D) is a main public health problem in the Mexican population. It is characterized by insulin resistance in peripheral tissues and a relative deficiency in the pancreatic beta-cell functions. Diverse single nucleotide polymorphisms (SNPs) of the IRS1 gene have been associated with insulin resistance and T2D risk. The aim of this study was to identify the association between known IRS1 polymorphisms (Pro512Ala, Asn1137Asp, Gly972Arg, and Arg158Pro) in a sample of diabetic patients compared with healthy controls selected from Mexico's 2000 National Health Survey, both with normal body mass index (BMI). We identified 444 diabetes cases that were age matched with the same number of controls. Genotypic and allelic frequencies were evaluated, and conditional logistic regression was used to evaluate the association between the SNPs and diabetes risk. Of the 4 SNPs studied, only Gly972Arg showed significant differences between cases and controls, with allele frequency of 2.6% in controls as compared with 7.9% in cases. Subjects with at least 1 copy of the Gly972Arg polymorphism of the IRS1 gene showed a greater risk for diabetes, with a crude odds ratio of 3.26 (95% confidence interval, 2.00-5.33); after adjusting for BMI, age, family history of T2D, and sex, the odds ratio was 2.91 (95% confidence interval, 1.73-4.90). Our results suggest the participation of Gly972Arg polymorphism of IRS1 in the genetic susceptibility to TD2 in Mexican population. The restriction of including only participants with normal BMI might increase the power to detect genetic determinants of T2D.
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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 MR, 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 JFP, Vaag A, Hansen T, Polychronakos C, Pedersen O, Froguel P, Sladek R. Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia. Nat Genet 2009; 41:1110-5. [PMID: 19734900 DOI: 10.1038/ng.443] [Citation(s) in RCA: 314] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2009] [Accepted: 07/13/2009] [Indexed: 12/22/2022]
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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Affiliation(s)
- Johan Rung
- McGill University and Génome Québec Innovation Centre, Montréal, Canada
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