{"id":2057,"date":"2013-03-28T15:01:18","date_gmt":"2013-03-28T19:01:18","guid":{"rendered":"http:\/\/blogs.cdc.gov\/genomics\/?p=2057"},"modified":"2024-04-08T16:13:56","modified_gmt":"2024-04-08T20:13:56","slug":"on-spinning-wheels","status":"publish","type":"post","link":"https:\/\/blogs.cdc.gov\/genomics\/2013\/03\/28\/on-spinning-wheels\/","title":{"rendered":"On Spinning Wheels and Genomes Revealed:"},"content":{"rendered":"<h2>Sequencing is No Longer a Sleeping Controversy<\/h2>\n<p><em><a href=\"https:\/\/blogs.cdc.gov\/genomics\/files\/2013\/03\/sleeping_beauty4.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright size-medium wp-image-2094\" src=\"https:\/\/blogs.cdc.gov\/genomics\/files\/2013\/03\/sleeping_beauty4-300x198.jpg\" alt=\"sleeping beauty\" width=\"300\" height=\"198\" srcset=\"https:\/\/blogs.cdc.gov\/genomics\/wp-content\/uploads\/sites\/20\/2013\/03\/sleeping_beauty4-300x198.jpg 300w, https:\/\/blogs.cdc.gov\/genomics\/wp-content\/uploads\/sites\/20\/2013\/03\/sleeping_beauty4.jpg 493w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a>In the <\/em><a href=\"https:\/\/en.wikipedia.org\/wiki\/Sleeping_Beauty_(1959_film)\" target=\"_blank\" rel=\"noopener noreferrer\"><em>classic Disney version of the fairy tale<\/em><\/a><em>, Sleeping Beauty is hidden in the woods to protect her from the knowledge of an evil curse\u2026 but when she later pricks her finger on a spinning wheel, she falls under a fairy\u2019s spell\u2026<\/em><\/p>\n<p>Unlike the mythical magic of centuries old stories, modern science is changing our lives in ways that are anything but fantasy.\u00a0 Advances in whole genome sequencing (WGS) promise to reveal fundamental information about our risks for various diseases. \u00a0By definition WGS includes an enormous amount of data: <a href=\"https:\/\/www.genome.gov\/human-genome-project\/Completion-FAQ\" target=\"_blank\" rel=\"noopener noreferrer\">six billion base pairs in a human\u2019s genome<\/a>.\u00a0 Unfortunately, we do not yet know what to do with the great majority of these data points, a fact that will become even more important in the next decade. \u00a0For as sequencing technology becomes less and less expensive, it <a href=\"https:\/\/jamanetwork.com\/journals\/jama\/fullarticle\/1672247\" target=\"_blank\" rel=\"noopener noreferrer\">could soon be more economical and practical to simply conduct WGS rather<\/a> than individual tests that assess one or a few genetic variants.<!--more--><\/p>\n<p>Two publications have now raised awareness of the potential controversies associated with the anticipated integration of WGS into clinical and public health practice. \u00a0The most recent was the American College of Medical Genetics report <a href=\"http:\/\/www.acmg.net\/docs\/ACMG_Releases_Highly-Anticipated_Recommendations_on_Incidental_Findings_in_Clinical_Exome_and_Genome_Sequencing.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">ACMG Recommendations for Reporting of Incidental Findings in Clinical Exome and Genome Sequencing.<\/a>\u00a0\u00a0 The report argued that persons whose genomes are sequenced for any medical reason should be informed, via their healthcare providers, about variants in 57 genes that put them at risk of preventable diseases &#8211; a form of \u201copportunistic screening\u201d. \u00a0The second article is a commentary in the journal <em>Genetics in Medicine<\/em> entitled: <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23470837\/\" target=\"_blank\" rel=\"noopener noreferrer\">We Screen Newborns Don\u2019t We?: Realizing the Promise of Public Health Genomics<\/a><span style=\"text-decoration: underline;\">.<\/span> James Evans and coauthors argue for a public health approach to assess the feasibility of active population screening for selected rare genomic variants to find millions of affected people who are at risk of preventable diseases such as cancer and heart disease &#8211; a model not too dissimilar from newborn screening. \u00a0It is not clear from these two reports whether or not the list of genes recommended\u00a0for opportunistic screening in medical settings is the same as the list proposed for\u00a0active population screening.<\/p>\n<p>With much of the genome revealed, how can we benefit from such information while we likewise protect ourselves from its potential harms?\u00a0 The publications are igniting discussion about our readiness, or lack thereof, to integrate WGS into health care and disease prevention. In addition, they point to significant ethical, legal, and social implications of releasing genetic information, incidental or otherwise, back to patients or healthy persons, when the clinical validity and utility of this information have not been established. \u00a0Indeed, ACMG acknowledges that \u201cthere are insufficient data on clinical utility to fully support [its] recommendations\u201d. \u00a0As a test in clinical practice, our office classifies WGS as a \u201ctier 3\u201d application due to critical gaps in our knowledge on analytic validity, as well as clinical validity and utility.<\/p>\n<p>Furthermore, interpretation of genetic variants is highly contextual and is based on age, family history, clinical presentation, and environmental factors. \u00a0For example, for BRCA testing, the US Preventive Services Task Force recommended that women with increased family history risk for hereditary breast and ovarian cancer be offered genetic counseling for testing while recommending <em>against<\/em> routine BRCA screening for women without family history risk.\u00a0 Similarly, The Task Force recommended against testing for hereditary hemochromatosis in the general population. More recently, the <a href=\"https:\/\/www.nature.com\/articles\/gim9201111\" target=\"_blank\" rel=\"noopener noreferrer\">EGAPP working group recommended against testing for Factor V Leiden<\/a> for adults with idiopathic venous thromboembolism and their family members, and <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/23492873\/\" target=\"_blank\" rel=\"noopener noreferrer\">they found insufficient evidence for testing for genetic risk assessment for diabetes<\/a> and for <a href=\"https:\/\/www.nature.com\/articles\/gim2010136\" target=\"_self\" rel=\"noopener noreferrer\">cardiovascular disease in the general population<\/a>.<\/p>\n<p>As important, there are significant ethical concerns about the return of genetic information, especially for children. \u00a0\u00a0True informed consent is a must but may be difficult to achieve in practice. Meanwhile, proponents argue that people have a right to know their own biological data and make their own decisions.\u00a0 Others argue that genomic data are not really information if we don\u2019t know what they mean. \u00a0In addition to psychosocial and medical \u00a0harms, <a href=\"https:\/\/jamanetwork.com\/journals\/jama\/fullarticle\/1105076\" target=\"_blank\" rel=\"noopener noreferrer\">premature use of genetic information in health care could lead to a cascade of increased health care costs<\/a>\u00a0resulting in\u00a0further testing and unproven interventions. \u00a0These <a href=\"https:\/\/www.nejm.org\/doi\/full\/10.1056\/NEJMp0708162\" target=\"_blank\" rel=\"noopener noreferrer\">issues are not new<\/a> but are increasingly coming to the forefront as the time to deal with the reality of the genome draws nearer to implementation in practice.<\/p>\n<p>In our opinion, these significant concerns emphasize the importance of a policy framework to guide an evidence-based approach to\u00a0incorporate WGS technology into health care and public health.\u00a0 A time is coming when the decision to perform this or that specific DNA test could no longer be relevant.\u00a0 If DNA testing is needed for any medical reason, pragmatic economics could dictate that WGS is conducted. Patients and their families, under the right scenarios, could benefit from receiving incidental findings with demonstrated clinical utility and with appropriate patient education and counseling.\u00a0 However, even established tests, such as those for BRCA and Lynch syndrome with demonstrated clinical utility in certain clinical situations, present challenges when testing for WGS in unselected individuals.<\/p>\n<p>Fortunately, like fairy tale spells, genes do not\u00a0necessarily determine fate.\u00a0 However, this is not the time to \u201chide\u201d important information, supported by evidence of clinical utility, that could be revealed by WGS in health care and disease prevention.\u00a0 Genetic counselors and other health care providers must be ready to effectively communicate to patients and families what we know and what we don\u2019t know. \u00a0Most importantly, we must avoid \u201cspinning wheels\u201d by debating the issues without a firm evidentiary foundation on which to base implementation of WGS in practice.\u00a0\u00a0In order to understand the utility of testing for specific genetic variations in our genome to improve the health of individuals and populations, we must rely on family and population-based research, including clinical trials.<\/p>\n<p>As for those who have long taken a \u201cwake me when we get there\u201d attitude to genomic medicine: take heart, for the \u201cprince\u201d may be near at hand\u2026<\/p>\n<p><a href=\"https:\/\/blogs.cdc.gov\/genomics\/files\/2013\/03\/spin.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-2064\" src=\"https:\/\/blogs.cdc.gov\/genomics\/files\/2013\/03\/spin-300x276.jpg\" alt=\"spinning wheel\" width=\"300\" height=\"276\" srcset=\"https:\/\/blogs.cdc.gov\/genomics\/wp-content\/uploads\/sites\/20\/2013\/03\/spin-300x276.jpg 300w, https:\/\/blogs.cdc.gov\/genomics\/wp-content\/uploads\/sites\/20\/2013\/03\/spin.jpg 512w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sequencing is No Longer a Sleeping Controversy In the classic Disney version of the fairy tale, Sleeping Beauty is hidden in the woods to protect her from the knowledge of an evil curse\u2026 but when she later pricks her finger on a spinning wheel, she falls under a fairy\u2019s spell\u2026 Unlike the mythical magic of<\/p>\n","protected":false},"author":126,"featured_media":2094,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5236],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts\/2057"}],"collection":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/users\/126"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/comments?post=2057"}],"version-history":[{"count":45,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts\/2057\/revisions"}],"predecessor-version":[{"id":6692,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts\/2057\/revisions\/6692"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/media\/2094"}],"wp:attachment":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/media?parent=2057"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/categories?post=2057"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/tags?post=2057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}