Association of Microsatellites D4S2912, D4S230 and D4S3001 (4P15.1) to type 2 diabetes in peruvian population
DOI:
https://doi.org/10.24265/horizmed.2015.v15n1.01Keywords:
Allelic frequency, Genotypic frequency, Hardy-Weinberg, Association, MicrosatelliteAbstract
Objective: To determine the association of microsatellite markers D4S2912, D4S230 and D4S3001 with diabetes type 2 (DM2) in the Peruvian population. Material and Methods: We analyzed the microsatellite markers D4S2912, D4S230 and D4S3001 in 99 diabetics and 120 healthy individuals to D4S2912, D4S230 and 129 to 133 for D0453001 as controls from Lima. We processed the 0NA extracted from blood intravenously, amplified by the technique of polymerase chain reaction (PCR) for the three markers in the region 4p15.1. Finally, we analyzed the polymorphisms of the markers and determined the genetic homogeneity of the population through proof of Hardy-Weinberg (HW), and continued in the study of association of 0M2 in patients versus controls. Results: In D4S2912 and D4S3001 there was absence of an allele in the control group when compared with the diabetic population. When performing association analysis using conditional logistic regression model and the Monte Carlo permutation test, they showed an association between D4S3001 and Peruvian population with DM2. Conclusion: This research shows the microsatellite D4S3001, located on chromosome 4p15.1 region as a marker associated with DM2 in the Peruvian population and is located in a chromosomal region that contain a gene(s) which would play a role in the etiology DM2.
Downloads
References
Franceschini N, Almasy L, MacCluer JW, Goring HH, Cole SA, Diego VP, et al. Diabetes-specific genetic effects on obesity traits in American Indian populations: the Strong Heart Family Study. BMC Med Genet. 2008 Oct 14;9:90.
Anderson JW, Kendall CW, Jenkins 0J. Importance of weight management in type 2 diabetes: review with meta-analysis of clinical studies. J Am Coll Nutr. 2003 Oct;22(5):331-9.
Ghosh S, Watanabe RM, Valle TT, Hauser ER, Magnuson VL, Langefeld C0, et al. The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. I. An autosomal genome scan for genes that predispose to type 2 diabetes. Am J Hum Genet. 2000 Nov; 67(5):1174- 85.
Carlson CS, Eberle MA, Kruglyak L, Nickerson DA. Mapping complex disease loci in whole-genome association studies. Nature. 2004 May 27;429(6990):446-52.
Wiltshire S, Hattersley AT, Hitman GA, Walker M, Levy JC, Sampson M, et al. A genomewide scan for loci predisposing to type 2 diabetes in a U.K. population (the Diabetes UK Warren 2 Repository): analysis of 573 pedigrees provides independent replication of a susceptibility locus on chromosome 1q. Am J Hum Genet. 2001 5ep;69(3):553-69.
Mori Y, Otabe S. 0ina C, Yasuda K, Populaire C, Lecoeur C, et al. Genome-wide search for type 2 diabetes in Japanese affected sib-pairs confirms susceptibility genes on 3q, 15q, and 20q and identifies two new candidate Loci on 7p and 11p. 0iabetes. 2002 Apr;51(4):1247-55.
Seclen S, Leey J, Villena A, Herrera B, Menacho J, Carrasco A, et al. Prevalencia de Diabetes Mellitus, hipertensión arterial, hipercolesterolemia, y obesidad como factor de riesgo coronario y cerebrovascular en población adulta de la costa, sierra y selva del Perú. Premio Rousell 1997. Lima; Hoechst Marion Roussel; 1997, 32 p.
Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002 Jan 16;287(3):356-9.
Kirov G, Williams N, Sham P, Craddock N, Owen MJ. Pooled genotyping of microsatellite markers in parent-offspring trios. Genome Res. 2000 Jan;10(1):105-15.
Schaid 0J, Jacobsen SJ. Biased tests of association: comparisons of allele frequencies when departing from Hardy-Weinberg proportions. Am J Epidemiol. 1999 Apr 15;149(8):706-11.
Arya R, 0uggirala R, Jenkinson CP, Almasy L, Blangero J, O'Connell P, et al. Evidence of a novel quantitative-trait locus for obesity on chromosome 4p in Mexican Americans. Am J Hum Genet. 2004 Feb;74(2):272-82.
Blackett PR, Li S, Mulvihill JJ. Ring chromosome 4 in a patient with early onset type 2 diabetes, deafness, and developmental delay. Am J Med Genet A. 2005 Aug 30;137(2):213-6.
Stone S, Abkevich V, Hunt SC, Gutin A, Russell DL, Neff C0, et al. A major predisposition locus for severe obesity, at 4p15-p14. Am J Hum Genet. 2002 Jun;70(6):1459-68.
Xu J, Turner A, Little J, Bleecker ER, Meyers DA. Positive results in association studies are associated with departure from Hardy-Weinberg equilibrium: hint for genotyping error? Hum Genet. 2002 0ec;111(6):573-4.
Ryckman K, Williams SM. Calculation and use of the Hardy- Weinberg model in association studies. Curr Protoc Hum Genet. 2008 Apr;Chapter 1:Unit 1.18.
Johansson A, Vavruch-Nilsson V, Edin-Liljegren A, Sjolander P, Gyllensten U. Linkage disequilibrium between microsatellite markers in the Swedish Sami relative to a worldwide selection of populations. Hum Genet. 2005 Jan;116(1-2):105-13.
Blanco R, Suazo J, Santos JL, Paredes M, Sung H, Carreño H, et al. Association between 10 microsatellite markers and nonsyndromic cleft lip palate in the Chilean population. Cleft Palate Craniofac J. 2004 Mar;41(2):163-7.
Llorca J, Prieto-Salceda D, Combarros O, 0ierssen-Sotos T, Berciano J. Riesgos competitivos de muerte y equilibrio de Hardy-Weinberg en estudios de casos y controles sobre asociación entre genes y enfermedades. Gac Sanit. 2005 Jul- Aug;19(4):321-4.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Mónica Paredes Anaya, Dina Torres Gonzales, Frank Lizaraso Soto, Carlos Padilla Rojas, Jorge Calderón Ticona, Jorge Medina, Giovanna Rodríguez Lay
This work is licensed under a Creative Commons Attribution 4.0 International License.
Horizonte Médico (Lima) (Horiz. Med.) journal’s research outputs are published free of charge and are freely available to download under the open access model, aimed at disseminating works and experiences developed in biomedical and public health areas, both nationally and internationally, and promoting research in the different fields of human medicine. All manuscripts accepted and published in the journal are distributed free of charge under the terms of a Creative Commons license – Attribution 4.0 International (CC BY 4.0).
