Genomic Medicine: Principles and Practice (Oxford Monographs by Dhavendra Kumar, Charis Eng

By Dhavendra Kumar, Charis Eng

The 1st variation of Genomics and scientific Medicine supplied an outline of genomics-based advances in sickness susceptibility, analysis, and prediction of therapy results in a number of components of medication. due to the fact its e-book, the technology of genomics has made large growth, and interesting new advancements in biotechnology and bioinformatics have created probabilities that have been impossible just a couple of years in the past. This thoroughly revised moment version of Genomic Medicine displays the quickly altering face of utilized and translational genomics within the clinical and well-being context and offers a complete insurance of rules of genetics and genomics suitable to the perform of medicine.

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Extra resources for Genomic Medicine: Principles and Practice (Oxford Monographs on Medical Genetics)

Sample text

It is anticipated that the reader, probably less informed than the specialists herein (or even uninformed), might find this helpful in grasping the concepts of heredity, genes, genetics, and genomics. It is expected that the reader will proceed to further chapters in this section and the second section, “Practice of Genomic Medicine,” better equipped with the introduction to genetic/genome sciences, genetic diseases, genetics and genomics in medicine, applications in public health, and specific issues related to society, ethics, and law.

A gene may consist of several such coding DNA segments. Exons are separated from each other by non-coding sequences of DNA, called introns. Although they are not yet known to be associated with any specific function, it is likely that some of these introns might be of evolutionary significance, or associated with other fundamental biological functions. During the transcription of DNA, the introns are spliced out, and the exons then attach to mitochondrial RNA (mRNA) to start the process of protein synthesis.

2001;7(11):494–501. 16. Steinmetz LM, Davis RW. Maximizing the potential of functional genomics. Nature Rev Genet. 2004;5(3):190–201. 17. Rehm B. Bioinformatic tools for DNA/protein sequence analysis, functional assignment of genes and protein classification. Appl Microbiol Biotech. 2001;57(5–6):579–592. 18. Gehlenborg N, et al. Visualization of omics data for systems biology. Nature Methods. 2010;7:S56–S68. G enes , G enetics , and H uman G enomics • 1 1 19. Burke W, et al. Translational genomics: seeking a shared vision of benefit.

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