{"id":125370,"date":"2015-05-20T06:45:59","date_gmt":"2015-05-20T10:45:59","guid":{"rendered":"http:\/\/www.immortalitymedicine.tv\/uncategorized\/pharmacogenomics-wikipedia-the-free-encyclopedia.php"},"modified":"2024-08-17T16:24:40","modified_gmt":"2024-08-17T20:24:40","slug":"pharmacogenomics-wikipedia-the-free-encyclopedia","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/pharmacogenomics\/pharmacogenomics-wikipedia-the-free-encyclopedia.php","title":{"rendered":"Pharmacogenomics &#8211; Wikipedia, the free encyclopedia"},"content":{"rendered":"<p><p>    Pharmacogenomics (a portmanteau of pharmacology and    genomics) is the    study of the role of genetics in drug response. It deals with    the influence of acquired and inherited genetic variation on drug    response in patients by correlating gene    expression or single-nucleotide    polymorphisms with drug absorption, distribution, metabolism and    elimination, as well as drug    receptor target effects.[1][2][3] The term    pharmacogenomics is often used interchangeably with    pharmacogenetics. Although both terms relate to drug response    based on genetic influences, pharmacogenetics focuses on single    drug-gene interactions, while pharmacogenomics encompasses a    more genome-wide association approach, incorporating genomics    and epigenetics while dealing with the effects of multiple    genes on drug response.[4][5][6]  <\/p>\n<p>    Pharmacogenomics aims to develop rational means to optimize    drug therapy, with respect to the patients' genotype, to ensure    maximum efficacy with minimal adverse    effects.[7]    Through the utilization of pharmacogenomics, it is hoped that    drug treatments can deviate from what is dubbed as the    one-dose-fits-all approach. It attempts to eliminate the    trial-and-error method of prescribing, allowing physicians to    take into consideration their patients genes, the    functionality of these genes, and how this may affect the    efficacy of the patients current and\/or future treatments (and    where applicable, provide an explanation for the failure of    past treatments).[4]    Such approaches promise the advent of \"personalized medicine\"; in which    drugs and drug combinations are optimized for each individual's    unique genetic makeup.[8][9]    Whether used to explain a patients response or lack thereof to    a treatment, or act as a predictive tool, it hopes to achieve    better treatment outcomes, greater efficacy, minimization of    the occurrence of drug toxicities and adverse drug reactions    (ADRs). For patients who have lack of therapeutic response to a    treatment, alternative therapies can be prescribed that would    best suit their requirements. In order to provide    pharmacogenomic-based recommendations for a given drug, two    possible types of input can be used: genotyping or exome or whole genome sequencing.[10]    Sequencing provides many more data points, including detection    of mutations that prematurely terminate the synthesized protein    (early stop    codon).[10]  <\/p>\n<p>    Pharmacogenomics was first recognized by Pythagoras around 510    BC when he made a connection between the dangers of fava bean    ingestion with hemolytic anemia and oxidative stress.    Interestingly, this identification was later validated and    attributed to deficiency of G6PD in the 1950s and called favism.[11][12]    Although the first official publication dates back to    1961,[13]    circa 1950s marked the unofficial beginnings of this science.    Reports of prolonged paralysis and fatal reactions linked to    genetic variants in patients who lacked butyryl-cholinesterase    (pseudocholinesterase) following administration of    succinylcholine injection during anesthesia were first reported    in 1956.[1][14]    The term pharmacogenetic was first coined in 1959 by Friedrich    Vogel of Heidelberg, Germany (although some papers suggest it    was 1957). In the late 1960s, twin studies supported the    inference of genetic involvement in drug metabolism, with    identical twins sharing remarkable similarities to drug    response compared to fraternity twins.[15]    The term pharmacogenomics first began appearing around the    1990s.[11]  <\/p>\n<p>    There are several known genes which are largely responsible for    variances in drug metabolism and response. The focus of this    article will remain on the genes that are more widely accepted    and utilized clinically for brevity.  <\/p>\n<p>    The most prevalent drug-metabolizing enzymes (DME) are the    Cytochrome P450 (CYP) enzymes. The term    Cytochrome P450 was coined by Omura and Sato in 1962 to    describe the membrane-bound, heme-containing protein    characterized by 450nm spectral peak when complexed with    carbon    monoxide.[16]    The human CYP family consists of 57 genes, with 18 families and    44 subfamilies. CYP proteins are conveniently arranged into    these families and subfamilies on the basis of similarities    identified between the amino acid sequences. Enzymes that share    35-40% identity are assigned to the same family by an Arabic numeral, and those that share 55-70%    make up a particular subfamily with a designated    letter.[17]    For example, CYP2D6    refers to family 2, subfamily D, and gene number 6.  <\/p>\n<p>    From a clinical perspective, the most commonly tested CYPs    include: CYP2D6,    CYP2C19, CYP2C9, CYP3A4 and CYP3A5. These genes account    for the metabolism of approximately 80-90% of currently    available prescription drugs.[18][19]    The table below provides a summary for some of the medications    that take these pathways.  <\/p>\n<p>    Also known as debrisoquine hydroxylase (named after the    drug that led to its discovery), CYP2D6 is the most well-known and extensively    studied CYP gene.[22]    It is a gene of great interest also due to its highly polymorphic nature, and involvement in    a high number of medication metabolisms (both as a major and    minor pathway). More than 100 CYP2D6 genetic variants have been    identified.[21]  <\/p>\n<p>    Discovered in the early 1980s, CYP2C19 is the second most extensively studied    and well understood gene in pharmacogenomics.[20]    Over 28 genetic variants have been identified for    CYP2C19,[23]    of which affects the metabolism of several classes of drugs,    such as antidepressants and proton pump inhibitors.[24]  <\/p>\n<p>    CYP2C9 constitutes    the majority of the CYP2C subfamily, representing approximately    20% of the liver content. It is involved in the metabolism of    approximately 10% of all drugs, which include medications with    narrow therapeutic windows such as warfarin and tolbutamide.[24][25]    There are approximately 57 genetic variants associated with    CYP2C9.[23]  <\/p>\n<p>    The CYP3A family is the most abundantly found in the liver,    with CYP3A4    accounting for 29% of the liver content.[20]    These enzymes also cover between 40-50% of the current    prescription drugs, with the CYP3A4 accounting for 40-45% of    these medications.[12]CYP3A5 has over 11 genetic variants    identified at the time of this publication.[23]  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Excerpt from:<br \/>\n<a target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Pharmacogenomics\" title=\"Pharmacogenomics - Wikipedia, the free encyclopedia\" rel=\"noopener\">Pharmacogenomics - Wikipedia, the free encyclopedia<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Pharmacogenomics (a portmanteau of pharmacology and genomics) is the study of the role of genetics in drug response. It deals with the influence of acquired and inherited genetic variation on drug response in patients by correlating gene expression or single-nucleotide polymorphisms with drug absorption, distribution, metabolism and elimination, as well as drug receptor target effects.[1][2][3] The term pharmacogenomics is often used interchangeably with pharmacogenetics <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/pharmacogenomics\/pharmacogenomics-wikipedia-the-free-encyclopedia.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[1246862],"tags":[],"class_list":["post-125370","post","type-post","status-publish","format-standard","hentry","category-pharmacogenomics"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/125370"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=125370"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/125370\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=125370"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=125370"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=125370"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}