Genome-wide association study of cat mammary tumor using 63,000 SNP chip through PLINK data analysis toolset

Paper Details

Research Paper 01/07/2017
Views (390) Download (10)
current_issue_feature_image
publication_file

Genome-wide association study of cat mammary tumor using 63,000 SNP chip through PLINK data analysis toolset

Rashid Saif, Leslie Lyons, Barbara Gandolfi, Maleeha Ahmad, Ramlah Ejaz, Muhammad Wasim
Int. J. Biosci.11( 1), 75-82, July 2017.
Certificate: IJB 2017 [Generate Certificate]

Abstract

Genome wide case-control association study using Illumina Infinium Feline 63K I Select DNA array was performed with7 cancer cases and 23 controls from the Siamese cat breed. The purpose of this study to identify the SNPs associated with mammary tumor in cats. PLINK data analysis toolset was used to analysis the SNP data obtained through microarray genotyping experiment. Zerovalue of Mendel error was observed, Similarly, deviations from the HWE was also detected which depicts the excessive in breeding within the sampled population. Allelic association test highlighted ten most associated SNPs through Manhattan plot. Linkage-disequilibrium plots were also drawn through these associated SNPs, which showed that, one of the SNP at locus ChrC1:202,770,816 on chromosome 8 exist in haplotype, which is part of RFTN2 gene and belongs to raftlin protein family. This protein is involved in the activation of B type immune cells. Another SNP ChrE1:53,681,930 on chromosome 14 was found to be in linkage disequilibrium with 4 genes named C7orf64, APPBP2, PPMID and BCAS3, all of these genes are highly expressed in breast cancers. This study revealed, that outbreak of mammary tumor in cats may be associated be with aforementioned SNPs and simultaneously outbreak of this cancer is a micro-evolutionary process and cumulative effect of number of SNPs located on different chromosomes.

VIEWS 29

Barrett JC, Fry B, Maller J, Daly MJ. 2005. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21(2), 263-265. http://dx.doi.org/10.1093/bioinformatics/bth457

Bei JX, Li Y, Jia, WH, Feng BJ, Zhou G, Chen LZ, Feng QS, Low HQ, Zhang H, He F. 2010. A genome-wide association study of nasopharyngeal carcinoma identifies three new susceptibility loci. Nature genetics 42(7), 599-603. http://dx.doi.org/10.1038/ng.601

Bush WS, Moore JH. 2012. Genome-wide association studies. PLoS Comput Biol 8(12), e1002822. http://dx.doi.org/10.1371/journal.pcbi.1002822

Chu R, Sun T, Yang H, Wang D, Liao K, Chuang T, LinC, Lee W. 2001. Heat shock proteins in canine transmissible venereal tumor. Veterinary Immunology and Immunopathology 82(2), 9-21. http://dx.doi.org/10.1016/s0165-2427 (01)00327-0

Clarke GM, Anderson CA, Pettersson FH, Cardon LR, Morris AP, Zondervan KT. 2011. Basic statistical analysis in genetic case-control studies. Nature protocols 6(2), 121-133. http://dx.doi.org/10.1038/nprot.2010.182

Goldstein O, Mezey JG, Schweitzer PA, Boyko AR, Gao C, Bustamante CD, Jordan JA, Aguirre GD, Acland GM. 2013. IQCB1 and PDE6B Mutations Cause Similar Early Onset Retinal Degenerations in Two Closely Related Terrier Dog BreedsRetinal Degenerations and Terrier Dog Breeds. Investigative ophthalmology & visual science 54(10), 7005-7019. http://dx.doi.org/10.1167/iovs.13-12915

Graffelman J, Sánchez M, Cook S, Moreno V. 2013. Statistical inference for Hardy-Weinberg proportions in the presence of missing genotype information. PLoS One 8(12), e83316. http://dx.doi.org/10.1371/journal.pone.0083316

Holcomb Jr WL, Chaiworapongsa T, Luke DA, Burgdorf KD. 2001. An odd measure of risk: use and misuse of the odds ratio. Obstetrics & Gynecology 98(4), 685-688. http://dx.doi.org/10.1097/00006250-200110000-00028

Klein RJ, Zeiss C, Chew EY, Tsai JY, Sackler RS, Haynes C, Henning AK, SanGiovanni JP, Mane SM, Mayne ST. 2005. Complement factor H polymorphism in age-related macular degeneration. Science 308(5720), 385-389.http://dx.doi.org/10.1126/science.1109557

Liu L, Zhang D, Liu H, Arendt C. 2013. Robust methods for population stratification in genome wide association studies. BMC bioinformatics 14(1), 132. http://dx.doi.org/10.1186/1471-2105-14-132

Liu X, Invernizzi P, Lu Y, Kosoy R, Lu Y, Bianchi I, Podda M., Xu C., Xie G., Macciardi F. 2010. Genome-wide meta-analyses identify three loci associated with primary biliary cirrhosis. Nature genetics 42(8), 658-660. http://dx.doi.org/10.1038/ng.627

Mägi R., Morris AP. 2010. GWAMA: software for genome-wide association meta-analysis. BMC bioinformatics 11(1), 288. http://dx.doi.org/10.1186/1471-2105-11-288

Palomba G, Loi A, Porcu E, Cossu A, Zara I, Budroni M, Dei M, Lai S, Mulas A, Olmeo N. 2015. Genome-wide association study of susceptibility loci for breast cancer in Sardinian population. BMC cancer 15(1), 383. http://dx.doi.org/10.1186/s12885-015-1392-9

Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, De Bakker PI, Daly MJ. 2007. PLINK: a tool set for whole-genome association and population-based linkage analyses. The American Journal of Human Genetics 81(3), 559-575. http://dx.doi.org/10.1086/519795

Saeki K, Miura Y, Aki D, Kurosaki T, Yoshimura A. 2003. The B cell‐specific major raft protein, Raftlin, is necessary for the integrity of lipid raft and BCR signal transduction. The EMBO Journal 22(12), 3015-3026. http://dx.doi.org/10.1093/emboj/cdg293

Shafiee R, Javanbakht J, Atyabi N, Bahrami A, Kheradmand D, Safaei R, Khadivar F, Hosseini E. 2013. RETRACTED ARTICLE: Comparative value of clinical, cytological, and histopathological features in feline mammary gland tumors; an experimental model for the study of human breast cancer. Diagnostic pathology 8(1), 136. http://dx.doi.org/10.1186/1746-1596-8-136

Sherman M, Multhoff G. 2007. Heat shock proteins in cancer. Annals of the New York Academy of Sciences 1113(1), 192-201. http://dx.doi.org/10.1196/annals.1391.030

Signer-Hasler H, Flury C, Haase B, Burger D, Simianer H, Leeb T, Rieder S. 2012. A genome-wide association study reveals loci influencing height and other conformation traits in horses. PLoS ONE7(5), e37282. http://dx.doi.org/10.1371/journal.pone.0037282