GeneWatch UK response to the Human Genetics Commission’s Consultation on a ‘Common Framework of Principles for Direct-to-Consumer Genetic Testing Services’ December 2009 GeneWatch UK welcomes the opportunity to respond to this consultation. Many of the Principles provide important guidance. However, it is important to distinguish between a system of oversight and regulation that is designed to facilitate the marketing of existing tests, albeit with some additional information requirements, and one that is designed to restrict the market in health-related tests to those that are genuinely valid and useful. GeneWatch UK favours the latter approach, since we do not consider the provision of reams of disputed technical information to be adequate to protect consumers from misleading claims about their health, or to prevent the clear market failure that arises when people have no means to independently assess or interpret such information for themselves.1 In our view the proposed Guidelines lack legitimacy. A genuine consultation would have been open to at least considering the option of gene test regulation and also included a comparison with measures adopted in other countries.2 In proposing Principles which put the onus on companies to declare their own compliance, the Commission has wrongly sidelined the views of members of the public, including past exercises that have highlighted public and professional support for the regulation of genetic tests: for example, the 2003 Royal Society’s People’s Science Summit on Genetic Testing3,4,5; and the Science Horizons project6,7. Instead, the HGC has chosen to develop Guidelines in partnership with an international gene testing company (DeCode) which has subsequently declared bankruptcy, and in the process has weakened its previous (inadequate) commitment to at least some voluntary oversight via the MHRA (proposed in Genes Direct). Further, the recommendations regarding clinical validity and utility of tests appear to lack adequate understanding of both the science and health implications of genetic susceptibility testing and the activities of the businesses involved. In GeneWatch’s view, this is the wrong approach. The international applicability of the Guidelines is also questionable, since no analysis appears to have been undertaken of the potential role of ethics committees, data protection legislation etc. in the global context in which genetic tests are now being marketed (e.g. in China). Nor is there any discussion of the role of the FDA in genetic testing oversight (the subject of a forthcoming US report) or the current process of revision of the Medical Devices Directives in the EU. The Principles are particularly inadequate in five important areas: 1. Failure to distinguish between reporting standards for genetic association studies (e.g. the STREGA recommendations) and the validation of results, including predictive algorithms. Positive predictive value and thus the validity of tests will also depend on the population tested. 2. Failure to address the issue of clinical utility of tests, particularly their use to recommend that some people will benefit more than others from recommendations to change their lifestyle, such as quitting smoking or eating particular diets. 1 3. Failure to recommend a system of independent oversight of assessments of clinical validity and utility or any mechanism to ensure compliance. 4. Inadequate attention to the lack of public understanding of penetrance and the harm that could be caused by misinterpretation of low-penetrance tests, particularly in relation to feared diseases such as cancer or schizophrenia. 5. The lack of an adequate policing mechanism to prevent health-related tests being performed on children and incompetent adults, in the absence of medical benefit and without their consent. We address each of these issues in turn below. First we note that the ACCE process, which takes its name from the four components of evaluation—analytic validity, clinical validity, clinical utility and associated ethical, legal and social implications—is a widely supported model process for evaluating data on emerging genetic tests.8,9 However, the Principles do not require any such assessment process, nor do they put in place any mechanism to make such an assessment, nor do they require any standards or criteria to be met. The Council of Europe has adopted an Additional Protocol on Human Rights and Biomedicine, Concerning Genetic Testing for Health Purposes10. The Protocol contains provisions regarding non-discrimination, quality, information, counselling, consent and privacy. Chapter III – Genetic Services – contains the articles of most relevance to the Medical Devices Directives. Article 5 – Quality of genetic services – states: “Parties shall take the necessary measures to ensure that genetic services are of appropriate quality. In particular, they shall see to it that: a. genetic tests meet generally accepted criteria of scientific validity and clinical validity; b. a quality assurance programme is implemented in each laboratory and that laboratories are subject to regular monitoring; c. persons providing genetic services have appropriate qualifications to enable them to perform their role in accordance with professional obligations and standards.” Article 6 – clinical utility – states: “Clinical utility of a genetic test shall be an essential criterion for deciding to offer this test to a person or a group of persons”. It is surprising that the Principles do not refer to the ACCE framework or to the Protocol. The provisions in the Protocol are consistent with the OECD guidelines, but go further in that they require certain criteria to be met (not simply information published) before genetic testing services are offered. The Principles undermine this Protocol because they ignore these requirements in favour of allowing companies to sell anything they want as long as they cite some relevant scientific literature. 1. Clinical validity The only criteria cited in the Principles are that studies should meet the STREGA guidelines (para 3.1). But these are reporting guidelines for association studies, not validation requirements. 2 The HGC appears to be needed to be reminded of some basic science. Most published gene associations are invalid and many false associations have been repeatedly replicated in the literature before sufficient evidence has accumulated to show the association is not valid. Thus, it is easy for companies to cherry pick the literature and impossible to ascertain whether they are doing so without undertaking a comprehensive search and analysis of hundreds, sometimes thousands, of scientific papers. All the companies marketing gene tests based on invalid associations have some literature which supports their claims: the process of assessment requires (as a first step) an independent overview of these claims.11 The Principles provide no requirement or mechanism for anyone to do this work. Except for relatively familial forms of common diseases, where the genetic risk is dominated by mutations in a single gene, most disease-related tests will be polygenic and rely on algorithms that combine the risk of multiple genetic (and perhaps other) factors. Companies often use an ‘additive’ model, based on the one originally written by Ronald Fisher in 1918, although other algorithms have also been used. However, none of these models have been validated for any complex disease, and there are an infinite number of models that could be used to fit the data (i.e. calibrated to fit one or more data sets).1 Different models will give different risk predictions, which will contradict each other. Most (perhaps all) of these predictions will be wrong, or at best have limited predictive value (as is normally the case for complex systems with multiple parameters, e.g. the weather, hydrology). Unless there is a requirement for companies to validate their models most of what is sold will continue to be rubbish (i.e. invalid), even if the individual genetic variants included are genuinely associated with the claimed disease. The positive predictive value, negative predictive value, sensitivity and specificity of the tests will influence the balance of benefits and harms to the population tested. There are no genetic tests for predisposition or susceptibility to common complex diseases that currently meet screening criteria for the general population12 and many scientists are sceptical that any ever will.13,14,15,16,17 Thus, all the tests currently on sale are likely to do more harm than good. Because the Principles do not require any criteria to be met, they will not change this situation. It remains plausible that there will never be any genetic tests developed that are suitable for use outside high risk families or people taking specific drugs. Even for a disease with a high calculated heritability such as type I diabetes, there is currently a dispute as to whether genetic susceptibility tests will not be useful at all18, or whether they will be useful only for testing siblings of children who have developed type I diabetes at an early stage.19 Currently, known genetic variants explain very little of the calculated heritabilities of complex diseases.20 Calculated heritabilities provide, in any case, at best an upper limit to the genetic component of the variance of any complex trait.21 Further, a high heritability is a necessary but not sufficient condition for a test of high utility to (potentially) exist once the relevant genetic variants have been identified.21 Overall, the lack of criteria in the Principles suggests that they are designed to endorse the marketing of any associations that have been identified in published studies: this is a very long way from establishing clinical validity. 3 2. Clinical utility The US Secretary’s Advisory Committee on Genetics Health and Society (SACGHS) defines the clinical utility for clinical decision-making as the balance between the benefits and harms of testing and ensuing follow-up evaluation, treatment or prevention (page 117).22 Clinical utility must be evaluated within a specific context and utility may vary, depending on the context and available alternatives. In 2003, the Institute for Prospective Technological Studies (IPTS) of the EC Joint Research Centre (JRC) warned that “the problem of increasing number of tests that are performed with a dubious clinical utility should be considered as they might become in the near future an unnecessary burden for health care systems” and stated: “As there are potential harms attached to genetic testing, tests should only be considered if benefits clearly outweigh harm”.23 The IPTS/JRC also noted: “There seems to be a trend to overestimate clinical utility of the tests. It would be wise to set up a European (or International) review board to determine whether the specific criteria have been correctly fulfilled before a test is introduced in clinical practice or marketed as a commercial product.” In 2004, the report of the EC’s expert group on genetic testing24 stated: “Proof of clinical utility and subsequent validation of all genetic tests are prerequisites before their implementation into clinical routine”. In its report of pharmacogenetics and pharmacogenomics (PGx), the IPTS/JRC has also noted (page 19)25: “The In-Vitro Diagnostics (IVD) Directive sets out a common regulatory process for diagnostic devices in the EU which include the test component of a PGx drug-test combination. However, the EMEA is concerned that the CE mark is granted solely on the basis of technical accuracy and not of clinical utility. This is important as the evidence supporting clinical utility is regarded as one of the main challenges facing PGx”. By failing to include a requirement for tests to meet criteria for clinical utility in the Priniciples, the HGC is in effect endorsing the sale of tests that have already had a technology assessment that has concluded the test is of low clinical utility. As an example, the US Agency for Healthcare Research and Quality (AHRQ) recently did a technology assessment of outcomes of genetic testing in adults with a history of venous thromboembolism (VTE) as part of the Evaluation of Genomic Applications in Practice and Prevention (EGAPP) initiative.26 They conclude: “There is no direct evidence that testing for these mutations leads to improved clinical outcomes in adults with a history of VTE or their adult family members. The literature supports the conclusion that while these assays have high analytic validity, the test results have variable clinical validity for predicting VTE in these populations and have only weak clinical utility.” Similar problems have plagued pharmacogenetic tests, which in general have also shown low clinical utility,27,28,29 but some of which are nevertheless marketed as if such technology assessments have never taken place30. To understand why it is important to assess clinical utility it is also important to realise that interventions should not in general be targeted at those at highest risk (as is often claimed) but either at the general population, or at those who have most to gain from the intervention. For risk factors which are amenable to intervention (such LDL cholesterol levels), it is generally reasonable to assume that individuals at highest risk are the same 4 as those who have most to gain from interventions which lower the measured risk factor, and to proceed with health advice on this basis provided this assumption is subject to subsequent evaluation. However, for fixed risk factors (where the intervention does not change the risk factor itself) the risk-benefit ratio of an intervention may be lower, or no different, for an intervention targeted at an individual in the high risk group, than for a member of the general population. In other words, for a germline genetic test those who are at highest genetic risk may not be those who have the most to gain (those who have the highest risk-benefit ratio) from an intervention.31 This implies that zero or even negative health benefit can arise from the process of using a genetic test to target lifestyle advice or medication, compared to randomly selecting the same number of people from a population, or compared to using another, better established (non-genetic) test. The SACGHS report states: “The additional benefit or harm that would be achieved by using the genetic test is called the incremental benefit or incremental harm. These benefits and harms should be considered at the individual, family, and societal levels”. For this reason, any assessment of the likely impact on health of genetic tests combined with environmental or lifestyle advice requires knowledge of the magnitude (and sign) of any gene-environment interaction.32,33 Such interactions are firmly established only for a few common conditions, such as lactose and alcohol intolerance (although neither of these conditions requires a genetic test for diagnosis). For diet-related disease, marketing of genetic tests of questionable utility – because gene-diet interactions are poorly understood - could have serious negative implications for public health by confusing healthy-eating messages and undermining public health approaches.34 The situation is even worse for smoking. For example, criticism of the Respiragene genetic test has (rightly) highlighted the lack of validation of this test to predict lung cancer risk in smokers.35,36 However, its utility also depends on the claim (see graph in the New York Times article37) that the genetic effect on risk does not occur in exsmokers/non-smokers (i.e. there is a gene-environment interaction, which leads to those smokers at high genetic risk having more to gain from quitting smoking than others): this is at best speculative, because this was not tested in the study.38,39 In practice, the low calculated heritability of lung cancer (which is not in any case statistically significant) renders the strong reported gradient in genetic risk of lung cancer unlikely and also precludes the existence of a strong gene-environment interaction. Our (published) calculations suggest that the highest possible utility for a lung cancer susceptibility test could occur if 60% of cases occurred in 50% of smokers, rendering such a test essentially useless, even if the validity of such a test had been established.21 Other, recently published, research we have undertaken – based on internal tobacco industry documents, released as a result of litigation - has shown that the idea that a genetic test could predict which smokers would get lung cancer was invented by eugenicists working for the tobacco industry in the 1950s, and endorsed by leading geneticists in the run up to the Human Genome Project, when they needed to demonstrate the industrial applicability of the project in order to secure funding.40 This (false) claim may have misled both smokers and policy makers, resulting in potentially large numbers of deaths. The HGC’s approach to oversight of genetic testing might benefit from a more critical assessment of such claims. 5 3. Independent oversight/regulation GeneWatch has made a number of assessments of genetic tests marketed online and via high street stores, pharmacies, medical professionals and alternative healthcare providers. All the genetic testing companies we have criticised are adamant that their test results are reliable and useful, although they all also criticise others as ‘cowboys’ in the field. Often, companies appear genuinely ignorant of the literature or the limitations of the data that they have. Thus, putting the onus on the companies to provide this information is insufficient to ensure that it is not misleading. For example, the Harley Street company Genetic Health provided us with 62 references relating to the specific genes included in their tests, plus 42 (largely irrelevant) reviews. Most of the references were out of date and had been superseded by more recent studies, they also represented only a tiny fraction of the literature which we reviewed, and ignored large studies and meta-analyses which should have been given the most weight in establishing an association.41 The Oxfordshire-based company G-nostics eventually withdrew its (false) claim that its Nicotest genetic test included a ‘nictotine addition gene’, but only long after the newspaper headlines had proclaimed this to be true. The claimed association had been invalidated in a meta-analysis and there remain serious scientific limitations to the prediction of genetic susceptibility to nicotine addiction. 42,43 However, the company now claims that it has new evidence that its programme ‘doubles’ quit rates (to 65% versus 35% at the NHS stop smoking service).44 This unpublished assessment is based on a comparison after only 4 weeks of what the company calls a ‘pragmatic’ one-year clinical evaluation.45 It is based on a self-selected population of smokers volunteering to take part via its website. They are likely to be much more motivated to quit than the other smokers in the study, biasing the findings. The Google-backed company 23andMe’s scientific guidelines – particularly the requirement that “sample size should exceed 1,000 cases and 1,000 controls”46 - are laughable in the context of the poor replication validity of genetic association studies many times this size47, and the criticisms regarding the inadequate statistical power of cohort studies such as UK Biobank (which aims to recruit 500,000 people) to quantify gene-environment interactions48. Other aspects of the guidelines, such as the claim to focus on diseases fitting the “common disease, common variant” paradigm are simply not followed: few diseases fit this paradigm, which is one of the main reasons that genetic risk predictions are often contradictory.49 The problems with clinical validity and utility highlighted above apply to tests marketed via private medical practice (such as Genetic Health), alternative healthcare providers (such as the Genovations tests) and pharmacies (such as NicoTest), as well as via the internet (e.g. 23andMe). This problem will inevitably impact negatively on the NHS, if independent assessments of the clinical validity and utility of marketed tests are not available to physicians in advance of products being sold.50 It is thus inadequate to simply require companies to provide a list of published references – in our experience many of these will have been invalidated or at best give a partial picture of the literature. Since the HGC abdicated its own responsibility to ensure oversight of compliance with the ACGT Code on the sale of genetic tests in 2001, no official body has done this job. 6 Has the HGC now abandoned its recommendation in Genes Direct that the MHRA should do it? Even if the HGC sticks by this recommendation, it knows full well that the MHRA opposes taking on this role and indeed has colluded with the industry, via the Ministerial Medical Technologies Strategy Group (MMTSG) to oppose any assessment of clinical validity or utility of tests. The MMTSG meeting papers from May 2008 include a paper from the Association of British Healthcare Industries (ABHI) opposing attempts to approve regulation of genetic tests and other medical devices at an EU level, via revision of the Medical Devices Directives.51 In discussion, the industry’s position was supported by the Medicines and Healthcare Regulatory Agency (MHRA).52 Does the HGC agree, and, if so, why has it abandoned its commitment to transparency by failing to inform members of the public how and why it came to this decision? In GeneWatch’s view the recommendation in Genes Direct was already too weak, because voluntary compliance will be impossible to achieve. But the current proposals are a retrograde step in that they do not require even any voluntary oversight. The adoption of weak Principles will, if anything, allow misleading marketing to increase as companies will claim their tests are consistent with the Principles, when the HGC and others (including their customers) will have no idea whether they are or not. 4. Low-penetrance v. high-penetrance and ‘lifestyle’ tests It is appropriate to use a risk-based classification system, but it is not straightforward to allocate genetic tests to risk categories prior to making an assessment of their clinical validity and utility, in the context of the current limited understanding of the health implications of most genetic variants (i.e. their novelty). This is because: Many so-called ‘lifestyle’ genetic tests contain genetic variants (polymorphisms) that have been linked to serious conditions. For example, one company may sell a panel of ‘cancer susceptibility’ genes, whilst another uses the same genes to predict ‘antioxidant capacity’ and recommend supplements. People taking genetic tests may not be aware that common genetic variants have low predictive value and that one type of cancer gene test (e.g. of mutations in the BRCA1/2 genes) has much more serious implications than another (of breast cancer-related SNPs). A false distinction is often made between genetic disorders, such as Huntington’s Disease, and complex disorders, such as Alzheimer’s Disease, schizophrenia or cancer, in relation to their seriousness or the potential risk associated with genetic testing. Although tests for genetic susceptibility to the latter are much less predictive, they are equally feared diseases and the consequences of false positive and negative results may be equally harmful, as well as more likely to occur. For less-feared conditions such as obesity and other diet-related diseases, the public health consequences of widespread misleading genetic information may be very serious, even if the impact of such misinformation on individuals may appear to be relatively trivial. Genes linked with one condition may be linked later with another, with potentially very different implications (such as the link between APOE genetic variants and risk of Alzheimer’s Disease). The number of tests currently sold in the UK is likely to be small, but GeneWatch has been contacted by people overseas who have highlighted the difficulties that members 7 of the public have in understanding what is being sold to them. In one case, the husband of a woman who had taken a misleading (invalid) panel of breast cancer SNPs explained how she had thought these gave equivalent information to the BRCA1/2 ‘breast cancer genes’ and gone on to take unnecessary additional tests (the company involved has since added a disclaimer to their website, and removed the list of SNPs included in the test). In another case, the father of a child expressed concerns about a gene test based on a panel of SNPs claimed to be related to autism (again invalid) which his wife had obtained for their son via an alternative healthcare provider. Amid numerous press reports of ‘autism genes’ and ‘breast cancer genes’ it is unreasonable to expect members of the public to be aware that what they are buying has no predictive value. Some Commission members will remember that the concept of ‘lifestyle’ tests was invented by Sciona (the UK company that marketed genetic tests with dietary advice in the Body Shop in 2001, subsequently moved to the USA and has now gone out of business) in order to avoid scrutiny by the HGC under the former ACGT Code, and potential regulation under the IVD Directive. After its relocation to the USA, the US Government Accountability Office reiterated many of the concerns originally raised by GeneWatch UK and the Consumers’ Association about Sciona’s tests.53 It is therefore surprising to see tests combined with lifestyle/environmental advice, or claiming to predict behaviours, being treated as if they are not health-related in the HGC’s proposed classification scheme. Concerns will grow significantly if the market expands and if gene test providers press ahead with susceptibility tests for complex conditions such as schizophrenia (likely to be used on teenagers with relatives with the condition). Although the concept of a single ‘predisposition’ gene for schizophrenia has been proven to be false, this was long promoted by geneticists as the most likely explanation for this condition. It would therefore not be surprising if many families still believe this to be the case: the consequences for young people with relatives with this condition if they are given misleading genetic information, could be very serious (including, in a worst case scenario, potential suicide). Leading UK psychiatrists have previously denounced plans by US companies to market genetic tests claiming to identify susceptibility to bipolar disorder (manic depression) or schizophrenia on the internet.54,55 To date, Neuromark and SureGene appear to have delayed marketing such tests, but Psynomics is already selling a test claimed to be linked to biopolar disorder. 23andMe provides a ‘research report’ on disease risk for schizophrenia, based on an association with a single gene (GNB1L) in a single casecontrol study (including 803 men with schizophrenia or closely related disorders and 2,025 healthy men).56 Three recently published studies identified 30,000 genetic variants that may be linked with schizophrenia (although most were not individually significant). 57,58,59 The discoveries may provide new clues to understanding the condition: for example, many of the genes are linked to the immune system, perhaps suggesting that a virus might play a role. However, each gene increases the risk by only about 1% and scientists do not know how these tiny differences in individual risk might be combined to attempt to predict who might develop schizophrenia. One of the authors of the studies warned that: "It would be unscrupulous for anyone to use these data for genetic testing for schizophrenia".60 It is surprising that the HGC appears to regard marketing of such tests with equanimity. One danger of the HGC’s proposed approach is that, by allowing companies to state that 8 they have endorsed the Principles without any mechanism for oversight of their claims, potential customers are actually encouraged to believe in the reliability of tests that they might otherwise have treated with more wariness. For these reasons, all health-related genetic tests (including so-called ‘lifestyle’ or behavioural tests, and pharmacogenetic tests) should undergo a full pre-market assessment of analytical and clinical validity and clinical utility, overseen by an independent regulator. However, subsequent requirements (such as the level of medical involvement and counselling required) might then be very different depending on the test. 5. Children and incompetent adults GeneWatch welcomes the HGC’s decision to support the view that companies should abide by established ethical standards and not test children on the basis of parental consent unless this is strictly necessary for their medical care. Our understanding is that the law in England and Wales is that children who are under 16 are considered to lack the capacity to give their own consent to testing and that it may be unlawful in any case for parents to override this except in cases of medical necessity. Rather than seek to devise a complicated (and probably unreliable) process to ensure this requirement is met online, the need to meet this important standard suggests that tests should only be offered via medical professionals, so that samples are always collected face-to-face (regardless of counselling requirements). This would bring the Principles in line with the best interests of the child, rather than being driven by the online marketing plans of a small number of companies, and ensure compliance with the law. It would also help prevent the illegal testing of incompetent adults. Conclusion Rather than adopt weak Principles with no mechanism for oversight, the HGC should recommend that the Government signs and ratifies the European Convention on Human Rights and Biomedicine, and its Protocols, including the Protocol Concerning Genetic Testing for Health Purposes. If it wishes to overturn the principles adopted in the Protocol, perhaps the Commission could explain why it considers why a ‘right to know’ invented by commercial companies (actually a right to be sold misleading rubbish by such companies) should take precedence over the rights adopted in this international instrument. The Commission should also support attempts to make the EU’s Medical Devices Directive consistent with the Protocol, during the current process of revision.61,62 For further information contact: Dr Helen Wallace, Director GeneWatch UK 60 Lightwood Rd Buxton SK17 7BB Tel: 01298-24300 Email: helen.wallace@genewatch.org Website: www.genewatch.org 9 References 1 Wallace HM (2009) Genetic screening for susceptibility to disease. In: Encyclopedia of Life Sciences (ELS). John Wiley & Sons, Ltd: Chichester. DOI: 10.1002/9780470015902.a0021790. http://mrw.interscience.wiley.com/emrw/9780470015902/els/article/a0021790/current/abstract?hd =All,wallace 2 For example, in Germany: http://www.eurogentest.org/uploads/1247230263295/GenDG_German_English.pdf 3 http://royalsociety.org/news.asp?year=&id=1714 4 http://royalsociety.org/publication.asp?id=2161 5 Royal Society (2003) Genetic Testing – Which Way Forward? Royal Society National Forum for Science 2003. Report of a Meeting at Church House, Westminster, London, March 4, 2003. 6 http://www.sciencehorizons.org.uk/resources/1652_SH_Scenes_Mind%20&%20Body_AW.pdf 7 Dialogue by Design (2007) Science Horizons: Deliberative Panel Report. September 2007. http://www.sciencehorizons.org.uk/resources/sciencehorizons_deliberative_panel.pdf 8 http://www.cdc.gov/genomics/gtesting/ACCE.htm 9 Burke W & Zimmern R (2007) Moving beyond ACCE: an expanded framework for genetic test evaluation. http://www.phgfoundation.org/pages/work7.htm 10 Council of Europe (2008) Additional Protocol to the Convention on Human Rights and Biomedicine, concerning Genetic Testing for Health Purposes. http://conventions.coe.int/Treaty/EN/Treaties/Html/TestGen.htm 11 Janssens ACJW, Gwinn M, Bradley LA, Oostra BA, van Duijn CM, Khoury MJ (2008) A Critical Appraisal of the Scientific Basis of Commercial Genomic Profiles Used to Assess Health Risks and Personalize Health Interventions. The American Journal of Human Genetics 82, 593–599. http://www.ajhg.org/AJHG/fulltext/S0002-9297(08)00145-6. 12 Jakobsdottir J, Gorin MB, Conley YP, Ferrell RE, Weeks, DE (2009) Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers. PLoS Genetics, 5(2), e1000337. 13 Clayton DG (2009) Prediction and interaction in complex disease genetics: Experience in type 1 diabetes. PLoS Genetics, 5(70, e1000540. 14 Gartner CE, Barendregt JJ, Hall WD (2009) Multiple genetic tests for susceptibility to smoking do not outperform simple family history. Addiction, 104, 118-126. 15 Janssens ACJW, van Duijn CM (2008) Genome-based prediction of common diseases: advances and prospects. Human Molecular Genetics, 17(R2), R166-R173. 16 Munafò MR (2009) The clinical utility of genetic tests. Addiction, 104, 127-128. 17 Wilkie A (2006) Polygenic inheritance and genetic susceptibility screening. Encyclopedia of Life Sciences. DOI: 10.1002/9780470015902.a0005638. 18 Clayton DG (2009) Prediction and interaction in complex disease genetics: experience in Type 1 Diabetes. PLoS Genetics, 5(7), e1000540. 19 Wei Z, Wang K, Qu HQ, Zhang H, Bradfield J, Kim C, Frackleton E, Hou C, Glessner JT, Chiavacci R, Stanley C, Monos D, Grant SF, Polychronakos C, Hakonarson H. From disease association to risk assessment: an optimistic view from genome-wide association studies on Type 1 Diabetes PLoS Genet. 2009 Oct;5(10):e1000678. Epub 2009 Oct 9. 20 Maher B (2008) The case of the missing heritability. Nature, 456 (6), 18-21. 21 Wallace HM (2006) A model of gene-gene and gene-environment interactions and its impliactions for targeting environmental interventions by genotype. Theoretical Biology and Medical Modelling, 3 (35), doi:10.1186/1742-4682-3-35. http://www.tbiomed.com/content/3/1/35 22 SACGHS (2008) US system of oversight of genetic testing: a response to the charge of the Secretary of Health and Human Services. Report of the Secretary’s Advisory Committee on Genetics, Health and Society. April 2008. http://www4.od.nih.gov/oba/SACGHS/reports/SACGHS_oversight_report.pdf 23 EC JRC, ESTO, IPTS (2003) Towards quality assurance and harmonisation of genetic testing services in the EU. Technical Report Series, September 2003. EUR 20977 EN. http://www.orpha.net/docs/genetictesting.pdf 10 24 EC(2004) The Independent Expert Group. Ethical, legal and social aspects of genetic testing: research, development and clinical applications. Brussels 2004. http://ec.europa.eu/research/conferences/2004/genetic/pdf/report_en.pdf 25 Zika E, Gurwitz D, Ibarreta D (2006) Pharmacogenetics and Pharmacogenomics: State-of-theart and potential socio-economic impacts in the EU. IPTS, April 2006. 22214 EN. http://www.jrc.es/publications/pub.cfm?id=1387 26 AHRQ(2009) Outcomes of genetic testing in adults with a history of venous thromboembolism. Evidence Report/Technology Assessment. Number 180. http://www.ahrq.gov/clinic/tp/fvltp.htm 27 Gardiner SJ, Begg EJ(2006) Pharmacogenetics, drug-metabolizing enzymes, and clinical practice. Pharmacological Reviews, 58(3), 521-590. 28 Matchar DB, Thakar ME, Grossman I, McCrory DC, Orlando LA, Steffens DC, Goldstein DB, Cline KE, Gray RN (2006) Testing for Cytochrome P450 polymorphisms in adults with nonpsychotic depression treated with selective serotonin reuptake inhibitors (SSRIs). AHRQ Publication No. 07-E002. November 2006. 29 Wiwanitkit V. Pharmacogenomic effect of cytochrome P450 2C9 polymorphisms in different populations. Clin Appl Thromb Hemost. 2006 Apr;12(2):219-22. 30 For example: http://www.lab21.com/healthcare/cytochrome.php 31 Wallace HM (2006) A model of gene-gene and gene-environment interactions and its impliactions for targeting environmental interventions by genotype. 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