Home TaqMan assays for genotyping of single nucleotide polymorphisms present at a disease susceptibility locus on chromosome 6
Article
Licensed
Unlicensed Requires Authentication

TaqMan assays for genotyping of single nucleotide polymorphisms present at a disease susceptibility locus on chromosome 6

  • Werner Koch , Petra Hoppmann , Elena Michou , Vanessa Jung , Arne Pfeufer , Jakob Müller , Thomas Meitinger , Albert Schömig and Adnan Kastrati
Published/Copyright: September 21, 2011

Abstract

Multiple single-nucleotide polymorphisms in the BAT1-NFKBIL1-LTA region on the short arm of chromosome 6 have been found to be associated with susceptibility to myocardial infarction in a recent case-control study including individuals from Japan. Specifically, the association relates to homozygosity for the minor alleles of five individual polymorphisms (one each in BAT1 and NFKBIL1 and three in LTA) and a haplotype defined by a particular allele combination of 10 polymorphisms (three each in BAT1 and NFKBIL1 and four in LTA). In the Japanese study, genotype determinations were carried out using a multiplex PCR-Invader assay or DNA sequencing. As an alternative to these methods, we have established TaqMan assays for genotyping of nine of the 10 polymorphisms. Accuracy of the genotyping results obtained with the TaqMan reactions was demonstrated in experiments involving restriction enzyme analysis or DNA sequencing. Using the new TaqMan assays, we have genotyped the polymorphisms in a group of 1211 Caucasians who presented without symptoms or signs of acute or previous myocardial infarction. Genotype distributions of each of the five myocardial infarction-associated polymorphisms were significantly different between the present study group and two Japanese control groups (p≤0.01). High linkage disequilibrium measures between polymorphisms suggested that the nine polymorphisms reside in a single haplotype block. Based on the nine polymorphisms, eight different haplotypes with allele frequencies above 1% were identified, which together represented 98.4% of the total number of chromosome 6 in the 1211 individuals. This Caucasian study group and the Japanese sample showed strong linkage disequilibrium in the myocardial infarction-associated BAT1-NFKBIL1-LTA genomic region and related haplotype content, but significantly different genotype frequencies. The new TaqMan systems provide relatively simple and fast assays to test the clinical relevance of these polymorphisms.


Corresponding author: Werner Koch, PhD, Deutsches Herzzentrum München, Lazarettstraße 36, 80636 Munich, Germany Phone: +49-89-1218-2601, Fax: +49-89-1218-3053,

References

1 Ross R. Atherosclerosis – an inflammatory disease. N Engl J Med 1999; 340: 115–26. 10.1056/NEJM199901143400207Search in Google Scholar PubMed

2 Topol EJ, McCarthy J, Gabriel S, Moliterno DJ, Rogers WJ, Newby LK, et al., for the GeneQuest Investigators and Collaborators. Single nucleotide polymorphisms in multiple novel thrombospondin genes may be associated with familial premature myocardial infarction. Circulation 2001; 104: 2641–4. 10.1161/hc4701.100910Search in Google Scholar PubMed

3 Ozaki K, Ohnishi Y, Iida A, Sekine A, Yamada R, Tsunoda T, et al. Functional SNPs in the lymphotoxin-α gene that are associated with susceptibility to myocardial infarction. Nat Genet 2002; 32: 650–4. 10.1038/ng1047Search in Google Scholar PubMed

4 Yamada Y, Izawa H, Ichihara S, Takatsu F, Ishihara H, Hirayama H, et al. Prediction of the risk of myocardial infarction from polymorphisms in candidate genes. N Engl J Med 2002; 347: 1916–23. 10.1056/NEJMoa021445Search in Google Scholar PubMed

5 Helgadottir A, Manolescu A, Thorleifsson G, Gretarsdottir S, Jonsdottir H, Thorsteinsdottir U, et al. The gene encoding 5-lipoxygenase activating protein confers risk of myocardial infarction and stroke. Nat Genet 2004; 36: 233–9. 10.1038/ng1311Search in Google Scholar PubMed

6 Ozaki K, Inoue K, Sato H, Iida A, Ohnishi Y, Sekine A, et al. Functional variation in LGALS2 confers risk of myocardial infarction and regulates lymphotoxin-α secretion in vitro. Nature 2004; 429: 72–5. 10.1038/nature02502Search in Google Scholar PubMed

7 McCarthy JJ, Parker A, Salem R, Moliterno DJ, Wang Q, Plow EF, et al., for the GeneQuest Investigators. Large scale association analysis for identification of genes underlying premature coronary heart disease: cumulative perspective from analysis of 111 candidate genes. J Med Genet 2004; 41: 334–41. 10.1136/jmg.2003.016584Search in Google Scholar PubMed PubMed Central

8 The MHC Sequencing Consortium. Complete sequence and gene map of a human major histocompatibility complex. Nature 1999;401:921–3. 10.1038/44853Search in Google Scholar PubMed

9 Wong AM-L, Allcock RJ, Cheong KY, Christiansen FT, Price P. Alleles of the proximal promoter of BAT1, a putative anti-inflammatory gene adjacent to the TNF cluster, reduce transcription on a disease-associated MHC haplotype. Genes Cells 2003; 8: 403–12. 10.1046/j.1365-2443.2002.00641.xSearch in Google Scholar PubMed

10 Price P, Wong AM-L, Williamson D, Voon D, Baltic S, Allcock RJ, et al. Polymorphisms at positions −22 and −348 in the promoter of the BAT1 gene affect transcription and the binding of nuclear factors. Hum Mol Genet 2004; 13: 967–74. 10.1093/hmg/ddh113Search in Google Scholar PubMed

11 Temple SE, Cheong KY, Almeida CM, Price P, Waterer GW. Polymorphisms in lymphotoxin-α and CD14 genes influence TNF-α production induced by Gram-positive and Gram-negative bacteria. Genes Immun 2003; 4: 283–8. 10.1038/sj.gene.6363963Search in Google Scholar

12 Knight JC, Keating BJ, Rockett KA, Kwiatkowski DP. In vivo characterization of regulatory polymorphisms by allele-specific quantification of RNA polymerase loading. Nat Genet 2003; 33: 469–75. 10.1038/ng1124Search in Google Scholar

13 Okamoto K, Makino S, Yoshikawa Y, Takaki A, Nagatsuka Y, Ota M, et al. Identification of IκBL as the second major histocompatibility complex-linked susceptibility locus for rheumatoid arthritis. Am J Hum Genet 2003; 72: 303–12. 10.1086/346067Search in Google Scholar

14 Yamashita T, Hamaguchi K, Kusuda Y, Kimura A, Sakata T, Yoshimatsu H. IKBL promoter polymorphism is strongly associated with resistance to type 1 diabetes in Japanese. Tissue Antigens 2004; 63: 223–30. 10.1111/j.0001-2815.2004.00164.xSearch in Google Scholar

15 Iwanaga Y, Ono K, Takagi S, Terashima M, Tsutsumi Y, Mannami T, et al. Association analysis between polymorphisms of the lymphotoxin-α gene and myocardial infarction in a Japanese population. Atherosclerosis 2004; 172: 197–8. 10.1016/j.atherosclerosis.2003.09.026Search in Google Scholar

16 World Medical Association declaration of Helsinki: recommendations guiding physicians in biomedical research involving human subjects. J Am Med Assoc 1997;277:925–6. 10.1001/jama.277.11.925Search in Google Scholar

17 Livak KJ. Allelic discrimination using fluorogenic probes and the 5′ nuclease assay. Genet Anal 1999; 14: 143–9. 10.1016/S1050-3862(98)00019-9Search in Google Scholar

18 Kutyavin IV, Afonina IA, Mills A, Gorn VV, Lukhtanov EA, Belousov ES, et al. 3′-Minor groove binder-DNA probes increase sequence specificity at PCR extension temperatures. Nucleic Acids Res 2000; 28: 655–61. 10.1093/nar/28.2.655Search in Google Scholar PubMed PubMed Central

19 Excoffier L, Slatkin M. Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population. Mol Biol Evol 1995; 12: 921–7. Search in Google Scholar

20 Abecasis GR, Cookson WO. GOLD – graphical overview of linkage disequilibrium. Bioinformatics 2000; 16: 182–3. 10.1093/bioinformatics/16.2.182Search in Google Scholar PubMed

21 Morton NE, Zhang W, Taillon-Miller P, Ennis S, Kwok P-Y, Collins A. The optimal measure of allelic association. Proc Natl Acad Sci USA 2001; 98: 5217–21. 10.1073/pnas.091062198Search in Google Scholar PubMed PubMed Central

22 Qin ZS, Niu T, Liu JS. Partition-ligation-expectation-maximization algorithm for haplotype inference with single-nucleotide polymorphisms. Am J Hum Genet 2002; 71: 1242–7. 10.1086/344207Search in Google Scholar

23 Gabriel SB, Schaffner SF, Nguyen H, Moore JM, Roy J, Blumenstiel B, et al. The structure of haplotype blocks in the human genome. Science 2002; 296: 2225–9. 10.1126/science.1069424Search in Google Scholar

24 Lyamichev V, Mast AL, Hall JG, Prudent JR, Kaiser MW, Takova T, et al. Polymorphism identification and quantitative detection of genomic DNA by invasive cleavage of oligonucleotide probes. Nat Biotechnol 1999; 17: 292–6. 10.1038/7044Search in Google Scholar

25 Ohnishi Y, Tanaka T, Ozaki K, Yamada R, Suzuki H, Nakamura Y. A high-throughput SNP typing system for genome-wide association studies. J Hum Genet 2001; 46: 471–7. 10.1007/s100380170047Search in Google Scholar

26 Wilson AG, di Giovine FS, Duff GW. Genetics of tumor necrosis factor-α in autoimmune, infectious, and neoplastic diseases. J Inflamm 1995; 45: 1–12. Search in Google Scholar

27 Cheong KY, Allcock RJ, Eerligh P, Witt CS, Christiansen FT, McCann V, et al. Localization of central MHC genes influencing type I diabetes. Hum Immunol 2001; 62: 1363–70. 10.1016/S0198-8859(01)00351-2Search in Google Scholar

Received: 2004-8-25
Accepted: 2004-11-24
Published Online: 2011-9-21
Published in Print: 2005-4-1

©2005 by Walter de Gruyter Berlin New York

Articles in the same Issue

  1. Quality control for SELDI analysis
  2. Immunobead multiplex RT-PCR detection of carcinoembryonic genes expressing cells in the blood of colorectal cancer patients
  3. Optimization and evaluation of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) with reversed-phase protein arrays for protein profiling
  4. Simultaneous determination of HIV antibodies, hepatitis C antibodies, and hepatitis B antigens in dried blood spots –a feasibility study using a multi-analyte immunoassay
  5. Hematopoietic cytokines in the sera of patients with pancreatic cancer
  6. Modulation of translation factor's gene expression by histone deacetylase inhibitors in breast cancer cells
  7. Whole genome amplification of buccal cell DNA: genotyping concordance before and after multiple displacement amplification
  8. Y-Chromosome short tandem repeat (STR) haplotypes in a Campania population sample
  9. TaqMan assays for genotyping of single nucleotide polymorphisms present at a disease susceptibility locus on chromosome 6
  10. The secretion of ibuprofen metabolites interferes with the capillary chromatography of urinary homovanillic acid and 4-hydroxy-3-methoxymandelic acid in neuroblastoma diagnosis
  11. Selective measurement of HCHO in urine using direct liquid-phase fluorimetric analysis
  12. A spectrophotometric micromethod for determining erythrocyte protoporphyrin-IX in whole blood or erythrocytes
  13. Simultaneous analysis of MDR1 C3435T, G2677T/A, and C1236T genotypes by multiplexed mutagenically separated PCR
  14. Measurement of reticulocyte and red blood cell indices in patients with iron deficiency anemia and β-thalassemia minor
  15. Chitotriosidase activity in colostrum from African and Caucasian women
  16. Integration between point-of-care cardiac markers in an emergency/cardiology department and the central laboratory: methodological and preliminary clinical evaluation
  17. Controlled storage conditions prolong stability of biochemical components in whole blood
  18. Poor knowledge and faulty thinking regarding hemolysis and potassium elevation
  19. Delayed effects of short-term transdermal application of 7-oxo-dehydroepiandrosterone on its metabolites, some hormonal steroids and relevant proteohormones in healthy male volunteers
  20. Evaluation of a novel semi-automated HPLC procedure for whole blood cyclosporin A confirms equivalence to adjusted monoclonal values from Abbott TDx
  21. Evaluation of the Bio-Rad VARIANT™ II HbA 2/HbA 1C Dual Program for measurement of hemoglobin concentrations and detection of variants
  22. Interferences in coagulation tests – evaluation of the 570-nm method on the Dade Behring BCS analyser
  23. No evidence for involvement of the human inducible nitric oxide synthase gene in susceptibility to coronary artery disease
  24. National survey on the use of measurement of cholinesterase activity in serum
Downloaded on 29.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/CCLM.2005.028/html
Scroll to top button