Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

Polymorphisms in the ANKS1B gene are associated with cancer, obesity and type 2 diabetes

1 Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, USA;
2 Department of Systems Leadership and Effectiveness Science, School of Nursing, University of Michigan, Ann Arbor, MI, USA;
3 Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA;
4 Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA

Special Issues: Genetic Epidemiology

Obesity and type 2 diabetes (T2D) are comorbidities with cancer which may be partially due to shared genetic variants. Genetic variants in the ankyrin repeat and sterile alpha motif domain containing 1B (ANKS1B) gene may play a role in cancer, adiposity, body mass index (BMI), and body weight. However, few studies focused on the associations of ANKS1B with obesity and T2D. We examined genetic associations of 272 single nucleotide polymorphisms (SNPs) within the ANKS1B with the cancer (any diagnosed cancer omitting minor skin cancer), obesity and T2D using the Marshfield sample (716 individuals with cancers, 1442 individuals with obesity, and 878 individuals with T2D). The Health Aging and Body Composition (Health ABC) sample (305 obese and 1336 controls) was used for replication. Multiple logistic regression analysis was performed using the PLINK software. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. We identified 25 SNPs within the ANKS1B gene associated with cancer, 34 SNPs associated with obesity, and 12 SNPs associated with T2D (p < 0.05). The most significant SNPs associated with cancer, T2D, and obesity were rs2373013 (p = 2.21 × 10-4), rs10860548 (p = 1.92 × 10-3), and rs7139028 (p = 1.94 × 10-6), respectively. Interestingly, rs3759214 was identified for both cancer and T2D (p = 0.0161 and 0.044, respectively). Furthermore, seven SNPs were associated with both cancer and obesity (top SNP rs2372719 with p = 0.0161 and 0.0206, respectively); six SNPs were associated with both T2D and obesity (top SNP rs7139028 with p = 0.0231 and 1.94 × 10-6, respectively). In the Health ABC sample, 18 SNPs were associated with obesity, 5 of which were associated with cancer in the Marshfield sample. In addition, three SNPs (rs616804, rs7295102, and rs201421) were associated with obesity in meta-analysis using both samples. These findings provide evidence of common genetic variants in the ANKS1B gene influencing the risk of cancer, obesity, and T2D and will serve as a resource for replication in other populations.
  Figure/Table
  Article Metrics

Keywords cancer; obesity; diabetes; ANKS1B; polymorphisms; meta-analysis; pleiotropic effect

Citation: Ke-Sheng Wang, Xuefeng Liu, Daniel Owusu, Yue Pan, Changchun Xie. Polymorphisms in the ANKS1B gene are associated with cancer, obesity and type 2 diabetes. AIMS Genetics, 2015, 2(3): 192-203. doi: 10.3934/genet.2015.3.192

References

  • 1. Flegal KM, Carroll MD, Kit BK, et al. (2012) Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA 307: 491-497.    
  • 2. Kelly T, Yang W, Chen CS, et al. (2008) Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond) 32: 1431-1437.    
  • 3. Navas-Acien A, Silbergeld EK, Pastor-Barriuso R, et al. (2008) Arsenic exposure and prevalence of type 2 diabetes in US adults. JAMA 300: 814-822.    
  • 4. Center for Disease Control and Prevention (2011) National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States. U.S. Department of Health and Human Services, Center for Disease Control and Prevention, Atlanta, GA.
  • 5. Shin JK, Chiu YL, Choi S, et al. (2012) Serious psychological distress, health risk behaviors, and diabetes care among adults with type 2 diabetes: the California Health Interview Survey 2007. Diabetes Res Clin Pract 95: 406-414.    
  • 6. IDF (2009) IDF Diabetes Atlas, 4th edn. International Diabetes Federation, Brussels.
  • 7. Wang KS, Liu X, Wang L, et al. (2014) Associations of anxiety and psychological distress with cancer in the US Adults: Results from the 2012 National Health Interview Survey. American Journal of Cancer Epidemiology and Prevention 2: 20-31.    
  • 8. Gulland A (2014) Global cancer prevalence is growing at "alarming pace," says WHO. BMJ 348: g1338.    
  • 9. Ferguson RD, Gallagher EJ, Scheinman EJ, et al. (2013) The epidemiology and molecular mechanisms linking obesity, diabetes, and cancer. Vitam Horm 93: 51-98.    
  • 10. Hjartåker A, Langseth H, Weiderpass E (2008) Obesity and diabetes epidemics: cancer repercussions. Adv Exp Med Biol 630: 72-93.    
  • 11. Garg SK, Maurer H, Reed K, et al. (2014) Diabetes and cancer: two diseases with obesity as a common risk factor. Diabetes Obes Metab 16: 97-110.    
  • 12. Cohen DH, LeRoith D (2012) Obesity, type 2 diabetes, and cancer: the insulin and IGF connection. Endocr Relat Cancer 19: F27-45.    
  • 13. Forte V, Pandey A, Abdelmessih R, et al. (2012) Obesity, Diabetes, the Cardiorenal Syndrome, and Risk for Cancer. Cardiorenal Med 2: 143-162.    
  • 14. Fu X, McGrath S, Pasillas M, et al. (1999) EB-1, a tyrosine kinase signal transduction gene, is transcriptionally activated in the t(1;19) subset of pre-B ALL, which express oncoprotein E2a-Pbx1. Oncogene 18: 4920-4929.    
  • 15. Casagrande G, te Kronnie G, Basso G (2006) The effects of siRNA-mediated inhibition of E2A-PBX1 on EB-1 and Wnt16b expression in the 697 pre-B leukemia cell line. Haematologica 91: 765-771.
  • 16. Croteau-Chonka DC, Marvelle AF, Lange EM, et al. (2010) Genomewide association study of anthropometric traits and evidence of interactions with age and study year in Filipino women. Obesity 19: 1019-1027.    
  • 17. Pei D, Huang YJ, Hsieh CH, et al. (2010) The genetic background difference between diabetic patients with and without nephropathy in a Taiwanese population by linkage disequilibrium mapping using 382 autosomal STR markers. Genet Test Mol Biomarkers 14: 433-438.    
  • 18. Parker CC, Cheng R, Sokoloff G, et al. (2011) Fine-mapping alleles for body weight in LG/J × SM/J F2 and F(34) advanced intercross lines. Mamm Genome 22: 563-571.    
  • 19. Lin J, Lu C, Stewart DJ, et al. (2012) Systematic evaluation of apoptotic pathway gene polymorphisms and lung cancer risk. Carcinogenesis 33: 1699-1706.    
  • 20. Eckel-Passow JE, Serie DJ, Bot BM, et al. (2014) ANKS1B is a smoking-related molecular alteration in clear cell renal cell carcinoma. BMC Urol 14: 14.    
  • 21. McCarty CA, Wilke RA, Giampietro PF, et al. (2005) Marshfield clinic personalized medicine research project (PMRP): design, methods and recruitment for a large population-based biobank. Personalized Med 2: 49-79.    
  • 22. McCarty CA, Peissig P, Caldwell MD, et al. (2008) The marshfield clinic personalized medicine research project: 2008 scientific update and lessons learned in the first 6 years. Personalized Med 5: 529-542.    
  • 23. Wang KS, Liu X, Zheng S, et al. (2012) A novel locus for body mass index (BMI) on 5p15.2: a meta-analysis of two genome-wide association studies. Gene 500: 80-84.    
  • 24. Harris TB, Visser M, Everhart J, et al. (2000) Waist circumference and sagittal diameter reflect total body fat better than visceral fat in older men and women. The health, aging and body composition study. Ann N Y Acad Sci 904: 462-473.    
  • 25. Cauley JA, Danielson ME, Boudreau RM, et al. (2007) Inflammatory markers and incident fracture risk in older men and women: the health aging and body composition study. J Bone Miner Res 22: 1088-1095.    
  • 26. Qi Q, Menzaghi C, Smith S, et al. (2012) Genome-wide association analysis identifies TYW3/CRYZ and NDST4 loci associated with circulating resistin levels. Hum Mol Genet 21: 4774-4780.    
  • 27. Wang KS, Wang L, Liu X, et al. (2013) Association of HS6ST3 gene polymorphisms with obesity and triglycerides: gene-gender interaction. J Genet 92: 395-402.    
  • 28. Purcell S, Neale B, Todd-Brown K, et al. (2007) PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81: 559-575.    
  • 29. Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21: 1539-1558.    
  • 30. Gallagher EJ, Fierz Y, Ferguson RD, et al. (2010) The pathway from diabetes and obesity to cancer, on the route to targeted therapy. Endocr Pract 16: 864-873    
  • 31. Gallagher EJ, LeRoith D (2013) Epidemiology and molecular mechanisms tying obesity, diabetes, and the metabolic syndrome with cancer. Diabetes Care 2: S233-239.    
  • 32. Vucenik I, Stains JP (2012) Obesity and cancer risk: evidence, mechanisms, and recommendations. Ann N Y Acad Sci 1271: 37-43.    
  • 33. Evan GI, Vousden KH (2001) Proliferation, cell cycle and apoptosis in cancer. Nature 411: 342-348.    
  • 34. Smirnova E, Shanbhag R, Kurabi A, et al. (2013) Solution structure and peptide binding of the PTB domain from the AIDA1 postsynaptic signaling scaffolding protein. PLoS One 8: e65605-.    
  • 35. Bianchini F, Kaaks R, Vainio H (2002) Overweight, obesity, and cancer risk. Lancet Oncol 3: 565-574.    
  • 36. Wang YW, Jones PJ (2004) Conjugated linoleic acid and obesity control: efficacy and mechanisms. Int J Obes Relat Metab Disord 28: 941-955.    
  • 37. Bost F, Aouadi M, Caron L, et al. (2005) The role of MAPKs in adipocyte differentiation and obesity. Biochimie 87: 51-56.    
  • 38. Barb D, Pazaitou-Panayiotou K, Mantzoros CS (2006) Adiponectin: a link between obesity and cancer. Expert Opin Investig Drugs 15: 917-931    
  • 39. Saxena NK, Sharma D (2013) Multifaceted leptin network: the molecular connection between obesity and breast cancer. J Mammary Gland Biol Neoplasia 18: 309-320.    
  • 40. Riondino S, Roselli M, Palmirotta R, et al. (2014) Obesity and colorectal cancer: role of adipokines in tumor initiation and progression. World J Gastroenterol 20: 5177-5190.    

 

Copyright Info: © 2015, Ke-Sheng Wang, licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Associated material

PubMed record

 

Metrics

PDF downloads(833)

HTML views(1675)

 

 

Other articles by authors

[+] on Google Scholar

[+] on PubMed

 

Related pages

on Google Scholar

on PubMed

 

Tools

Download XML

Email to a friend

Order reprints

Copyright © AIMS Press All Rights Reserved