Genotyping Analysis Services Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2013 - 2019

Genotyping Analysis Services Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2013 - 2019

An individual’s genetic makeup is determined by DNA sequences comprising varied combinations of nucleotides namely, adenine, thymine, cytosine, and guanine. Alterations of the genetic code and consequent undesirable traits or disease conditions can occur due to variation in these DNA sequences. Genotyping helps determine differences in the individual’s genetic makeup wherein the individuals DNA sequence is examined using biological assays and is compared to another individuals DNA sequence or a reference sequence. Genotyping analysis plays an important role in research of genes and gene variants associated with disease. Single nucleotide polymorphisms (SNPs) are the most common form of variation which occurs on change in single nucleotide in the genome sequence. SNP genotyping is rapidly growing as a useful tool in many scientific disciplines including personalized medicine, plant and animal biotechnology. The various methods used for genotyping analysis include polymerase chain reaction (PCR), amplified fragment length polymorphism detection (AFLPD), random amplified polymorphic detection (RAPD) of genomic DNA, allele specific oligonucleotide (ASO) probes, DNA sequencing, restriction fragment length polymorphism identification (RFLPI) of genomic DNA, and hybridization to DNA microarrays or beads. Genotyping can be applied to humans as well as microorganisms. Genotyping of viruses or bacteria may help in tracing the origin of outbreak and thus control the spread of pathogens. Genotyping develops and provides innovative technologies that enable multiplex and parallel analysis of biological systems at the cell, protein, and gene level, facilitating the rapid translation of results into biology for a better world. Genotyping researchers face major challenge in studying rare variants most effectively. Whole-genome sequencing is preferred...