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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="article-commentary"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9815831</journal-id><journal-id journal-id-type="pubmed-jr-id">22061</journal-id><journal-id journal-id-type="nlm-ta">Genet Med</journal-id><journal-id journal-id-type="iso-abbrev">Genet. Med.</journal-id><journal-title-group><journal-title>Genetics in medicine : official journal of the American College of Medical Genetics</journal-title></journal-title-group><issn pub-type="ppub">1098-3600</issn><issn pub-type="epub">1530-0366</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25010054</article-id><article-id pub-id-type="pmc">4690454</article-id><article-id pub-id-type="doi">10.1038/gim.2014.71</article-id><article-id pub-id-type="manuscript">HHSPA744139</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Utility before business</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Teutsch</surname><given-names>Steven M.</given-names></name><degrees>MD, MPH</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Fielding</surname><given-names>Jonathan E.</given-names></name><degrees>MD, MPH</degrees><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Khoury</surname><given-names>Muin J.</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="A4">4</xref><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Evans</surname><given-names>James P.</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="A6">6</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Public Health, Los Angeles County, Los Angeles,
California, USA </aff><aff id="A2"><label>2</label>Fielding School of Public Health, University of California, Los
Angeles, California, USA </aff><aff id="A3"><label>3</label>Schools of Medicine, University of California, Los Angeles,
California, USA </aff><aff id="A4"><label>4</label>Office of Public Health Genomics, Centers for Disease Control and
Prevention, Atlanta, Georgia, USA </aff><aff id="A5"><label>5</label>Epidemiology and Genomics Research Program, National Cancer
Institute, Bethesda, Maryland, USA </aff><aff id="A6"><label>6</label>School of Medicine, University of North Carolina, Chapel Hill,
Chapel Hill, North Carolina, USA. </aff><author-notes><corresp id="CR1">Correspondence: Steven M. Teutsch
(<email>steventeutsch@gmail.com</email>; <email>teutsch@comcast.net</email>)
or Jonathan E. Fielding (<email>jfielding@ph.lacounty.gov</email>)</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>14</day><month>12</month><year>2015</year></pub-date><pub-date pub-type="epub"><day>10</day><month>7</month><year>2014</year></pub-date><pub-date pub-type="ppub"><month>12</month><year>2014</year></pub-date><pub-date pub-type="pmc-release"><day>24</day><month>12</month><year>2015</year></pub-date><volume>16</volume><issue>12</issue><fpage>869</fpage><lpage>870</lpage><!--elocation-id from pubmed: 10.1038/gim.2014.71--><related-article related-article-type="commentary-article" xlink:href="4262758" ext-link-type="pmcid" id="ra1" xlink:type="simple"/></article-meta></front><body><p id="P1">Today, enthusiasm for genomics far outstrips the relatively modest, albeit
increasing, number of clinical scenarios for which it provides established health
benefits.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Nonetheless,
laboratories have incentives to introduce and offer genetic tests at an astounding rate,
reflecting not only the increased ability to perform them accurately in many clinical
laboratories but the precipitous drop in the cost of testing. However, the actual cost
of the tests themselves should be the least of our concerns; the clinical usefulness
should be foremost. This set of circumstances has many similarities to that of newborn
screening, for which the costs of the tests themselves have plummeted and the marginal
cost of additional tests is so low as to be insignificant, supporting the argument that
we should do every possible test. However, the overriding question for both genetic
testing and new tests that could be added to newborn screening is the same: What are the
health benefits achieved and harms incurred as a result of the information gained from
these tests?</p><p id="P2">The Secretary&#x02019;s Advisory Committee on Genetics, Health, and
Society<sup><xref rid="R2" ref-type="bibr">2</xref></sup> and the Evaluation of
Genomic Tests in Prevention and Practice Working Group<sup><xref rid="R3" ref-type="bibr">3</xref></sup> wrestled with the question of the clinical utility of
genomic testing, including its definition and its relationship to oversight of
laboratory testing. The Secretary&#x02019;s Advisory Committee on Genetics, Health, and
Society clearly came down on the side of stricter oversight of genomic testing,
emphasizing that, in general, clinical use of tests should be deferred until clear
evidence of clinical utility is demonstrated, as it has been in guiding some cancer
chemotherapies, for example.</p><p id="P3">The Committee&#x02019;s recommendation may seem harsh. After all, what harm is
there in a laboratory test? The genetic test itself has negligible harms, but its
consequences can be substantial, including a cascade of tests, procedures, and
treatments that, for an unproven test, are of uncertain benefit, and many of which are
associated with harms, both physical and psychological.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> In addition, the unnecessary costs of these tests and
ensuing services contribute to the more than $750 billion wasted by the health-care
system each year.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> The money spent on
tests with unproven health benefit could be better spent on ensuring delivery of
beneficial services, to say nothing of being directed toward underlying behavioral,
social, and environmental determinants of health that contribute to healthier
individuals and communities and a more economically competitive nation.<sup><xref rid="R6" ref-type="bibr">6</xref></sup></p><p id="P4">It is against that backdrop that we should consider the article by Crawford et
al.<sup><xref rid="R7" ref-type="bibr">7</xref></sup> in this issue of
<italic>Genetics in Medicine</italic>. This College of American
Pathologists&#x02013;sponsored survey sought information about the business case for
implementation of early institutional adopters (all of which were academic medical
centers) of next-generation sequencing (NGS). The centers surveyed offered whole-exome
and whole-genome sequencing. Whatever the rationale for the study, the survey neglected
to first assess central and difficult issues&#x02014;these leaders&#x02019; perceptions of
the clinical utility of NGS and their reasons for being early adopters. These
institutions surely faced challenges in establishing procedures and ensuring financial
viability, among other concerns. But what were the motivations to introduce NGS in the
first place? Was it to be perceived as scientific leaders? If so, then NGS should have
been introduced as a research tool rather than a clinical tool. Was it to be perceived
as a market leader, at the cutting edge of current technologies&#x02014;a perception that
could enhance marketing programs? If so, then the primary reason for adoption of this
technology is responding to economic incentives, to enhance prestige and facilitate
promotion of &#x0201c;cutting edge&#x0201d; services by medical centers without sufficient
concern about utility or costs to patients or health plans. Was it merely because NGS is
now considered &#x0201c;affordable&#x0201d; and competitive with specific genetic tests of
demonstrated value? If so, then it is important to consider the downstream medical and
financial consequences of testing. Where were the ground rules for what to do with all
the results of testing? A well-understood ethical conundrum is what to do with the all
the data from NGS. On the one hand, withholding results from patients and physicians
deprives them of the ability to act on them, whereas on the other, the overwhelming
amount of information is extraordinarily difficult to interpret and communicate.
Patients are notoriously poor at understanding risk, so they may misconstrue the meaning
of the incidental findings, leading to inappropriate use of the information or creating
needless psychological distress. Guidance on how to present the data in a useful fashion
and to fully incorporate informed patient preferences is critically needed. All this
should shape what gets reported to physicians and what to patients and how. Does the
introduction of NGS need to await the availability of clinical decision-support systems
that can ensure the data are tailored to the patient&#x02019;s current and future
clinical situation? The leaders interviewed clearly recognized that few physicians in
their organizations were prepared to use the new trove of data wisely&#x02014;and how
could they, given the complexity and uncertainty?</p><p id="P5">The current indications for NGS with proven utility are still relatively limited
but potentially great in the future. Major advances have recently occurred in the use of
whole-exome/whole-genome sequencing in the diagnosis and management of patients and
families with suspected rare Mendelian disorders, to the point that Blue Cross Blue
Shield Association Technology Evaluation Center gave it a &#x0201c;favorable&#x0201d;
review in 2013.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> But even there, many
logistical, scientific, and practical issues arise that do not currently permit routine
use of this technology outside of research protocols.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> Moreover, the avalanche of &#x0201c;incidental findings&#x0201d;
from genome sequencing will have to be carefully dealt with, as reflected in recent
American College of Medical Genetics and Genomics recommendations on return of
results.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> Finally, the notion
of &#x0201c;next-generation sequencing&#x0201d; itself is highly heterogeneous and can
refer to anything from the targeted sequencing of a carefully selected panel of genes in
a malignant tumor to whole-exome or whole-genome sequencing of the germ line. Clinical
medicine has taught us that optimal testing usually consists of asking clinically
relevant, focused questions and avoiding overly broad &#x0201c;shotgun&#x0201d; testing
that begs for misinterpretation and a plethora of incidental findings. It would be
surprising if DNA sequencing were any different. Thus, genetics must grapple with the
questions of not only <italic>when</italic> to apply massively parallel sequencing but
also <italic>what</italic> to sequence. That is, when should sequencing be confined to
sets of genes and when should the whole genome (or exome) be the target? Only through
carefully considered research (such as that currently sponsored by the National Human
Genome Research Institute) will we begin to understand how best to apply these powerful
new technologies to clinical medicine.</p><p id="P6">It is entirely understandable that laboratories need to gain experience in using
this powerful new technology to ensure the accuracy of testing and develop the
appropriate quality-control systems. But that experience should be gained along with
careful standard setting, oversight, and evaluation before widespread introduction. As
the Analytic Validity, Clinical Validity, Clinical Utility and Associated Ethical, Legal
and Social Implications Model Project,<sup><xref rid="R11" ref-type="bibr">11</xref></sup> the Evaluation of Genomic Tests in Prevention and Practice Working
Group, the Secretary&#x02019;s Advisory Committee on Genetics, Health, and Society, and
others<sup><xref rid="R12" ref-type="bibr">12</xref></sup> have pointed out,
analytic validity and clinical validity are necessary but not sufficient conditions for
use. Without demonstrated utility, the potential for waste and harms outweighs
hypothetical benefits. Professional, laboratory, and clinical organizations have the
responsibility to ensure appropriate use. The widespread clinical introduction of NGS
before we know how best to use the data is unwise, unhealthy, and costly. Although NGS
has the potential to add value to personal health care in the future, use today will
more likely produce unnecessary care, related costs, and psychological harms.</p><p id="P7">Evaluations such as the one in this issue of <italic>Genetics in
Medicine</italic><sup><xref rid="R7" ref-type="bibr">7</xref></sup> have great
potential to inform the thoughtful introduction of whole-genome sequencing and other
diagnostic tools, but they need to ask and answer the right questions, the important
questions, not just the practical and business ones.</p></body><back><fn-group><fn id="FN1"><p id="P8">DISCLOSURE</p><p id="P9">The authors declare no conflict of interest.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dotson</surname><given-names>WD</given-names></name><name><surname>Douglas</surname><given-names>MP</given-names></name><name><surname>Kolor</surname><given-names>K</given-names></name><etal/></person-group><article-title>Prioritizing genomic applications for action by level of
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