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Personal genomics or consumer genetics is the branch of genomics concerned with the sequencing, analysis and interpretation of the genome of an individual. The genotyping stage employs different techniques, including single-nucleotide polymorphism (SNP) analysis chips (typically 0.02% of the genome), or partial or full genome sequencing. Once the genotypes are known, the individual's variations can be compared with the published literature to determine likelihood of trait expression, ancestry inference and disease risk. Automated high-throughput sequencers have increased the speed and reduced the cost of sequencing, making it possible to offer whole genome sequencing including interpretation to consumers since 2015 for less than $1,000. The emerging market of direct-to-consumer genome sequencing services has brought new questions about both the medical efficacy and the ethical dilemmas associated with widespread knowledge of individual genetic information. Personalized medicine is a medical method that targets treatment structures and medicinal decisions based on a patient's predicted response or risk of disease. The National Cancer Institute or NCI, an arm of the National Institutes of Health, lists a patient's genes, proteins, and environment as the primary factors analyzed to prevent, diagnose, and treat disease through personalized medicine. There are various subcategories of the concept of personalized medicine such as predictive medicine, precision medicine and stratified medicine. Although these terms are used interchangeably to describe this practice, each carries individual nuances. Predictive medicine describes the field of medicine that utilizes information, often obtained through personal genomics techniques, to both predict the possibility of disease, and institute preventative measures for a particular individual. Precision medicine is a term very similar to personalized medicine in that it focuses on a patient's genes, environment, and lifestyle; however, it is utilized by National Research Council to avoid any confusion or misinterpretations associated with the broader term.
Antoine Bosselut, Jibril Albachir Frej, Paola Mejia Domenzain, Luca Mouchel, Tatjana Nazaretsky, Seyed Parsa Neshaei, Thiemo Wambsganss
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