In recent years, the genetic testing and selection of IVF embryos, known as preimplantation genetic testing (PGT), has gained much traction in clinical assisted reproduction for preventing transmission of genetic defects. However, a more recent ethically and morally controversial development in PGT is its possible use in selecting IVF embryos for optimal intelligence quotient (IQ) and other non–disease-related socially desirable traits, such as tallness, fair complexion, athletic ability, and eye and hair colour, based on polygenic risk scores (PRS), in (...) what is referred to as PGT-P. Artificial intelligence (AI) and machine learning–based analysis of big data sets collated from genome sequencing of specific human ethnic populations can be used to estimate an individual embryo’s likelihood of developing such multifactorial traits by analysing the combination of specific genetic variants within its genome. Superficially, this technique appears compliant with Islamic principles and ethics. Because there is no modification of the human genome, there is no tampering with Allah’s creation (_taghyīr khalq Allah_). Nevertheless, a more critical analysis based on the five maxims of Islamic jurisprudence (_qawa'id fiqhiyyah_) that are often utilized in discourses on Islamic bioethics, namely _qaṣd_ (intention), _yaqın̄_ (certainty), _ḍarar_ (injury), _ḍarūra_ (necessity), and _`urf_ (custom), would instead reveal some major ethical and moral flaws of this new medical technology in the selection of non–disease-related socially desirable traits, and its non-compliance with the spirit and essence of Islamic law (shariah). Muslim scholars, jurists, doctors, and biomedical scientists should debate this further and issue a fatwa on this new medical technology platform. (shrink)

Heritable genome editing is officially here. ‘Lulu’ and ‘Nana’, born in China, are the first children whose genomes have been intentionally modified. A third gene edited baby may have already been born. Scientists in Russia are planning similar applications.1 We recently argued that HGE should be judged by the same ethical standards that we apply to other technologies.2 There is a moral imperative to improve the health of future generations, to reduce inequalities and improve standards of living. If we can (...) use HGE to achieve these aims, we should. We want to thank Sarah Chan, Peter Mills, Rachel Horton and Anneke Lucassen for their thoughtful criticisms of our paper. We would also like to thank the editors of the Journal of Medical Ethics for helping facilitate this detailed discussion. The moral questions posed by HGE, are complex, multifaceted and difficult. They required focused attention, which formats like this encourage. Our responses to each of the commentaries are detailed below We agree with the following points made in Horton and Lucassen’s paper ‘ The moral argument for heritable genome editing requires an inappropriately deterministic view of genetics ’.3 These are some of the reasons why we say HGE targeting polygenic diseases is likely decades away.2 The technical challenges seem daunting. But science can move quickly, and often does so in bounds. Our capacity to capture and analyse genetic data is rapidly expanding. Over the next 5 years, genomic …. (shrink)

Research in pharmacogenomics and precision medicine has recently introduced the concept of Polygenic Scores (PGSs), namely, indexes that aggregate the effects that many genetic variants are predicted to have on individual disease risk. The popularity of PGSs is increasing rapidly, but surprisingly little attention has been paid to the idealisations they make about phenotypic development. Indeed, PGSs rely on quantitative genetics models and methods, which involve considerable theoretical assumptions that have been questioned on various grounds. This comes with epistemological (...) and ethical concerns about the use of PGSs in clinical decision-making. In this paper, I investigate to what extent idealisations in genetics models can impact the data gathering and clinical interpretation of genomics findings, particularly the calculation and predictive accuracy of PGSs. Although idealisations are considered ineliminable components of scientific models, they may be legitimate or not depending on the epistemic aims of a model. I thus analyse how various idealisations have been introduced in classical models and progressively readapted throughout the history of genetic theorising. Notably, this process involved important changes in the epistemic purpose of such idealisations, which raises the question of whether they are legitimate in the context of contemporary genomics. (shrink)

In the contemporary biomedical literature, every disease is considered genetic. This extension of the concept of genetic disease is usually interpreted either in a trivial or genocentrist sense, but it is never taken seriously as the expression of a genetic theory of disease. However, a group of French researchers defend the idea of a genetic theory of infectious diseases. By identifying four common genetic mechanisms (Mendelian predisposition to multiple infections, Mendelian predisposition to one infection, and major gene and (...) class='Hi'>polygenic predispositions), they attempt to unify infectious diseases from a genetic point of view. In this article, I analyze this explicit example of a genetic theory, which relies on mechanisms and is applied only to a specific category of diseases, what we call “a regional genetic theory.” I have three aims: to prove that a genetic theory of disease can be devoid of genocentrism, to consider the possibility of a genetic theory applied to every disease, and to introduce two hypotheses about the form that such a genetic theory could take by distinguishing between a genetic theory of diseases and a genetic theory of Disease. Finally, I suggest that network medicine could be an interesting framework for a genetic theory of Disease. (shrink)

The past few years have brought significant breakthroughs in understanding human genetics. This knowledge has been used to develop ‘polygenic scores’ which provide probabilistic information about the development of polygenic conditions such as diabetes or schizophrenia. They are already being used in reproduction to select for embryos at lower risk of developing disease. Currently, the use of polygenic scores for embryo selection is subject to existing regulations concerning embryo testing and selection. Existing regulatory approaches include ‘disease-based' models (...) which limit embryo selection to avoiding disease characteristics, and 'laissez-faire' or 'libertarian' models, under which embryo testing and selection remain unregulated. We introduce a novel 'Welfarist Model' which limits embryo selection according to the impact of the predicted trait on well-being. We compare the strengths and weaknesses of each model as a way of regulating polygenic scores. Polygenic scores create the potential for existing embryo selection technologies to be used to select for a wider range of predicted genetically influenced characteristics including continuous traits. Indeed, polygenic scores exist to predict future intelligence, and there have been suggestions that they will be used to make predictions within the normal range in the USA in embryo selection. We examine how these three models would apply to the prediction of non-disease traits such as intelligence. The genetics of intelligence remains controversial both scientifically and ethically. This paper does not attempt to resolve these issues. However, as with many biomedical advances, an effective regulatory regime must be in place as soon as the technology is available. If there is no regulation in place, then the market effectively decides ethical issues. (shrink)

Recombinant DNA technology can now be applied to the analysis of complex human diseases such as polygenic disorders, where the inheritance of several unknown genes appears to be involved. We review here the progress in the analysis of genes which may be involved in the development of hyperlipidaemia, and show how the approach may be important in our understanding of the aetiology of coronary artery disease.

Medical explanations have often been thought on the model of biological ones and are frequently defined as mechanistic explanations of a biological dysfunction. In this paper, I argue that topological explanations, which have been described in ecology or in cognitive sciences, can also be found in medicine and I discuss the relationships between mechanistic and topological explanations in medicine, through the example of network medicine and medical genetics. Network medicine is a recent discipline that relies on the analysis of various (...) disease networks in order to find organizing principles in disease explanation. My aim is to show how topological explanations in network medicine can help solving the conceptual issues that pure mechanistic explanations of the genetics of disease are currently facing, namely the crisis of the concept of genetic disease, the progressive geneticization of diseases and the dissolution of the distinction between monogenic and polygenic diseases. However, I will also argue that topological explanations should not be considered as independent and radically different from mechanistic explanations for at least two reasons. First, in network medicine, topological explanations depend on and use mechanistic information. Second, they leave out some missing gaps in disease explanation that require, in turn, the development of new mechanistic explanations. Finally, I will insist on the specific contribution of topological explanations in medicine: they push us to develop an explanation of disease in general, instead of focusing on single explanations of individual diseases. This last point may have major consequences for biomedical research. (shrink)

Systems involving many interacting variables are at the heart of the natural and social sciences. Causal language is pervasive in the analysis of such systems, especially when insight into their behavior is translated into policy decisions. This is exemplified by economics, but to an increasing extent also by biology, due to the advent of sophisticated tools to identify the genetic basis of many diseases. It is argued here that a regularity notion of causality can only be meaningfully defined for (...) systems with linear interactions among their variables. For the vastly more important class of nonlinear systems, no such notion is likely to exist. This thesis is developed with examples of dynamical systems taken mostly from mathematical biology. It is discussed with particular reference to the problem of causal inference in complex genetic systems, systems for which often only statistical characterizations exist. (shrink)

The prelims comprise: Introduction Genetic Architecture of the Life Span Genetics of Longevity Genetics and the Future of Old Age Conclusion.

This paper challenges the common assumption that some phenotypic traits are quantitative while others are qualitative. The distinction between these two kinds of traits is widely influential in biological and biomedical research as well as in scientific education and communication. This is probably due to both historical and epistemological reasons. However, the quantitative/qualitative distinction involves a variety of simplifications on the genetic causes of phenotypic variability and on the development of complex traits. Here, I examine three cases from the life (...) sciences that show inconsistencies in the distinction: Mendelian traits, Mendelian diseases, and polygenic mental disorders. I show that these traits can be framed both quantitatively and qualitatively depending, for instance, on the methods through which they are investigated and on specific epistemic purposes. This suggests that the received view of quantitative and qualitative traits has a limited heuristic power—limited to some local contexts or to the specific methodologies adopted. Throughout the paper, I provide directions for framing phenotypes beyond the quantitative/qualitative distinction. I conclude by pointing at the necessity of developing a principled characterisation of what phenotypic traits, in general, are. (shrink)

Attention-deficit/hyperactivity disorder is a neurodevelopmental disorder with a childhood prevalence of 5%. In about two-thirds of the cases, ADHD symptoms persist into adulthood and often cause significant functional impairment. Based on the results of family and twin studies, the estimated heritability of ADHD approximates 80%, suggests a significant genetic component in the etiological background of the disorder; however, the potential genetic effects on disease risk, symptom severity, and persistence are unclear. This article provides a brief review of the genome-wide and (...) candidate gene association studies with a focus on the clinical aspects, summarizing findings of ADHD disease risk, ADHD core symptoms as dimensional traits, and other traits frequently associated with ADHD, which may contribute to the susceptibility to other comorbid psychiatric disorders. Furthermore, neuropsychological impairment and measures from neuroimaging and electrophysiological paradigms, emerging as potential biomarkers, also provide a prominent target for molecular genetic studies, since they lie in the pathway from genes to behavior; therefore, they can contribute to the understanding of the underlying neurobiological mechanisms and the interindividual heterogeneity of clinical symptoms. Beyond the aforementioned aspects, throughout the review, we also give a brief summary of the genetic results, including polygenic risk scores that can potentially predict individual response to different treatment options and may offer a possibility for personalized treatment for the therapy of ADHD in the future. (shrink)

Creating Future People offers readers a fast-paced primer on how advances in genetics will enable parents to influence the traits of their children, including their children's intelligence, moral capacities, physical appearance, and immune system. It explains the science of gene editing and embryo selection, and motivates the moral questions it raises by thinking about the strategic aspects of parental choice. Professor Anomaly takes seriously the diversity of preferences parents have, and the limits policymakers face in regulating what will soon be (...) a global market for reproductive technology. Anomaly argues that once embryo selection for complex traits happens it will change the moral landscape by altering the incentives each person faces. All of us will take an interest in the traits everyone else selects, and this will present coordination problems that previous writers on genetic enhancement have failed to consider. Anomaly ends by considering how genetic engineering will transform humanity. Key Updates to the Second Edition · Significant revisions to the Preface and three separate chapters to include more details about what will be scientifically possible in the coming years and the moral issues these developments will raise · New and substantial coverage of embryo selection (guided by polygenic scores) for minimizing the risk of genetic diseases · Engagement with all important, new publications on the science of genetic enhancement. (shrink)

Theiler's virus is a picornavirus of mouse which causes an acute encephalomyelitis followed by a persistent infection of the white matter resulting in chronic inflammation and demyelination. This disease has been studied as a model for multiple sclerosis. Inbred strains of mice are either resistant--they clear the infection after the acute encephalomyelitis--or susceptible to persistent infection and demyelination. Susceptibility is a polygenic trait which has been analyzed using methods of association with “candidate” genes, and linkage analysis after a complete (...) genome scan. The H-2Db gene is responsible for an efficient CTL response which makes some strains resistant. Non H-2 genes responsible for the susceptibility of other strains have been mapped by linkage analysis to the Ifng and, possibly, the Mbp loci. The analysis of a set of congenic mice ruled out the possiblity that the relevant gene codes for interferon gamma, and showed that the region around Ifngprobably contains two susceptibility genes. The analysis of mutant mice showed further that the Mbp gene, which codes for the myelin basic protein, has a major effect on viral persistence. BioEssays 20:627–633, 1998. © 1998 John Wiley & Sons Inc. (shrink)

Insulin‐dependent diabetes mellitus (IDDM) is an autoimmune disease whose etiology is complex. Both genetic susceptibility, which is polygenic, and environmental factors, including virus infections, appear to be involved in the development of IDDM. In this review, we have tried to balance the discussion of diabetes by examining both immunological and virological perspectives. Several mouse models, including viral and non‐viral models, have been used to study diabetes. For this review, we include lessons gleaned from the non‐obese diabetic (NOD) mouse and (...) from mouse models of coxsackievirus‐ and encephalomyocarditis‐virus‐induced diabetes. Finally, we present a multi‐stage model in which several viral infections, including the coxsackieviruses, are postulated to play a role in the autoimmune destruction of pancreatic beta cells. (shrink)

The concepts of the innateness, universality, species-specificity, and autonomy of the human language capacity have had an extreme impact on the psycholinguistic debate for over thirty years. These concepts are evaluated from several neurobiological perspectives, with an emphasis on the emergence of language and its decay due to brain lesion and progressive brain disease.Evidence of perceptuomotor homologies and preadaptations for human language in nonhuman primates suggests a gradual emergence of language during hominid evolution. Regarding ontogeny, the innate component of language (...) capacity is likely to be polygenic and shared with other developmental domains. Dissociations between verbal and nonverbal development are probably rooted in the perceptuomotor specializations of neural substrates rather than the autonomy of a grammar module. Aphasiologicaldata often assumed to suggest modular linguistic subsystems can be accounted for in terms of a neurofunctional model incorporating perceptuomotor-based regional specializationsand distributivity of representations. Thus, dissociations between grammatical functors and content words are due to different conditions of acquisition and resulting differences in neural representation. Human brains are characterized by multifactorial interindividual variability, and strict universality of functional organization is biologically unrealistic.A theoretical alternative is proposed according to which (1) linguistic specialization of brain areas is due to epigenetic and probabilistic maturational events, not to genetic ”hard-wiring,” and (2) linguistic knowledge is neurally represented in distributed cell assemblies whose topography reflects the perceptuomotor modalities involved in the acquisition and use of a given item of knowledge. (shrink)

In the last decade, preimplantation genetic testing have become widely used and in 2005 constituted 5 percent of all in vitro fertilization cycles performed in Europe. Their diffusion, however, is not homogenous; while in some countries they are prohibited and in others hardly implemented, Spain performs 33 percent of all the PGD/pgs. While policy guidelines and mainstream bioethics address PGD from a patient choice perspective, disability studies insist on PGD’s potentiality for discrimination. Alternatively, other authors have explored PGD/pgs from the (...) perspective of geneticization but little work has been done on how PGD/pgs are framed by the members of national regulatory bodies. Combining the analysis of juridical documents with semistructured interviews with members of the Spanish National Assisted Reproduction Committee, this study suggests that the remarkable diffusion of PGD/pgs in Spain may be largely due to the interaction between the growing momentum enjoyed by embryonic stem cell research and a vibrant expansion of IVF business along the Mediterranean coast. In this process, genetic issues per se seem to play a minor role, although the prevention of genetic diseases now constitutes the master narrative underpinning the extension of PGD from monogenic, early onset, diseases to polygenic, late-onset, ones. (shrink)

Genes dance. They dance with culture. Theydance with environment. Genes act on the world through the brain, mind and behavior. Historically, psychologists, therapists,educators and most lay people have understoodgenes in the context of Gregor Mendel'sexperiments, which were only partiallyexplained to us. While many studies show thatbrain structures and behaviors have quiterobust influences from inheritance, mostbehavior is not influenced in the classic waywe were taught in our introduction to genetics– which has been revolutionized by molecularstudies and understandings that most of theimportant (...) genes of everyday life arequantitative, or polygenic.Popular culture and naïve theory has a verysimplistic view of genes. They are bad,impolite and vaguely anti-democratic if notsinister. A very simple truth exists, however.Were it not for the genes of our grandparents,no one would be reading this article.This article introduces the reader to an ideathat emerges from evolutionary psychology andbehavior genetics, which may turn our thinkinginside out. For the most part, genes are giftsof nature to solve problems, and to hedge a beton the future. Most true genetic diseases,regulated by the classic processes that Mendelobserved, are extremely rare – typically belowone in several hundred. Most of the behaviorsthat cause us grief or joy in our homes,schools and communities and with some form ofgenetic contribution happen far more often –3%, 5%, 10% or more of the time in thepopulation. If such behaviors were ``defects''harming our reproductive success, Mother Naturewould have quickly made short work of thosegenes in a handful of generations. The factthat many of the genes related to thesebehaviors and subtle changes in the brain seemto have been recent changes (pejorativelycalled by some ``mutations'') in the past fewthousand years implies that these changes are insome sense Nature's Gifts.Gifts are to be treasured, saved and perhapspassed on. Sometimes a gift may be burdensome. This paper is about reframing and explainingadvances in science in the past 10 years or so,parallel to the brain imaging studies. Themolecular studies, explored in the context ofevolutionary psychology and behavioral geneticsprovide a new model for human development,enhancing our understanding of more traditionalviews of human phylogeny and ontogeny. Thesame molecular studies, when framed in thecontext of twin, adoption and longitudinalstudies, provide new insights for parenting,schools, community and therapy. (shrink)

This paper explores the interpretation and use of polygenic risk scores (PRSs). We argue that PRSs generally do not directly embody causal information. Nonetheless, they can assist us in tracking other causal relationships concerning genetic effects. Although their purely predictive/correlational use is important, it is this tracking feature that contributes to their potential usefulness in other applications, such as genetic dissection, and their use as controls, which allow us, indirectly, to "see" more clearly the role of environmental variables.

BackgroundCurrent preimplantation genetic testing (PGT) technologies enable embryo genotyping across the whole genome. This has led to the development of polygenic risk scoring of human embryos (PGT-P). Recent implementation of PGT-P, including screening for intelligence, has been extensively covered by media reports, raising major controversy. Considering the increasing demand for assisted reproduction, we evaluated how information about PGT-P is communicated in press media and explored the diversity of ethical themes present in the public debate.MethodsLexisNexis Academic database and Google News (...) were searched to identify articles about polygenic embryo screening. This led to 535 news articles. 59 original articles met the inclusion criteria. Inductive content analysis was used to analyse these articles.Results8.8% of articles gave embryo polygenic scoring a positive portrayal, while 36.8% expressed a negative attitude. 54.4% were neutral, mostly highlighting limited practical value of the technology in in vitro fertilization settings. We identified five main ethical themes that are also present in academic literature and the broader debate on reproductive technologies: a slippery slope towards designer babies, well-being of the child and parents, impact on society, deliberate choice and societal readiness.ConclusionsImplementation of embryo polygenic profiling engenders a need for specific recommendations. Current media analysis discloses important ethical themes to consider when creating future guidelines for PGT-P. (shrink)

It is a hotly contested issue whether polygenic scores should play a major role in the social sciences. Here, we defend a methodologically pluralist stance in which sociogenomics should abandon its hype and recognize that it suffers from all the methodological difficulties of the social sciences, yet nevertheless maintain an optimistic stance toward a more cautious use.

In this response, I focus on clarifying my arguments, highlighting consensus, and addressing competing views about the utility of polygenic scores (PGSs) for social science. I also discuss an assortment of expansions to my arguments and suggest alternative approaches. I conclude by reiterating the need for caution and appropriate scientific skepticism.

Polygenic scores (PGSs) have several limitations. They are confounded with environmental effects on behavior and cannot be used to study how mutations affect brain function and behavior. For this, mutations with large effects, which often arise in only one geographical population are needed. Genome-wide association studies (GWASs), commonly used for identifying mutations, have difficulty detecting these mutations. A strategy that overcomes this challenge is discussed.

Causation has multiple distinct meanings in genetics. One reason for this is meaning slippage between two concepts of the gene: Mendelian and molecular. Another reason is that a variety of genetic methods address different kinds of causal relationships. Some genetic studies address causes of traits in individuals, which can only be assessed when single genes follow predictable inheritance patterns that reliably cause a trait. A second sense concerns the causes of trait differences within a population. Whereas some single genes can (...) be said to cause population-level differences, most often these claims concern the effects of many genes. Polygenic traits can be understood using heritability estimates, which estimate the relative influences of genetic and environmental differences to trait differences within a population. Attempts to understand the molecular mechanisms underlying polygenic traits have been developed, although causal inference based on these results remains controversial. Genetic variation has also recently been leveraged as a randomizing factor to identify environmental causes of trait differences. This technique—Mendelian randomization—offers some solutions to traditional epidemiological challenges, although it is limited to the study of environments with known genetic influences. (shrink)

We generally agree with Burt's thesis. However, we note that the author did not discuss epigenetics, the study of how the environment can alter gene structure and function. Given epigenetic mechanisms, the utility of polygenic risk scores (PRS) is limited in studies of development and mental illness. Finally, in this commentary we expand upon the risks of reliance upon PRSs.

Psychiatric disorders present distinct clinical challenges which are partly attributable to their multifactorial aetiology and the absence of laboratory tests that can be used to confirm diagnosis or predict risk. Psychiatric disorders are highly heritable, but also polygenic, with genetic risk conferred by interactions between thousands of variants of small effect that can be summarized in a polygenic risk score. We discuss four areas in which the use of polygenic risk scores in psychiatric research and clinical contexts (...) could have ethical implications. First, there is concern that clinical use of polygenic risk scores may exacerbate existing health inequities. Second, research findings regarding polygenic risk could be misinterpreted in stigmatising or discriminatory ways. Third, there are concerns associated with testing minors as well as eugenics concerns elicited by prenatal polygenic risk testing. Fourth, potential challenges that could arise with the feedback and interpretation of high polygenic risk for a psychiatric disorder would require consideration. While there would be extensive overlap with the challenges of feeding back genetic findings in general, the potential clinical use of polygenic risk scoring warrants discussion in its own right, given the recency of this possibility. To this end, we discuss how lay interpretations of risk and genetic information could intersect. Consideration of these factors would be necessary for ensuring effective and constructive communication and interpretation of polygenic risk information which, in turn, could have implications for the uptake of any therapeutic recommendations. Recent advances in polygenic risk scoring have major implications for its clinical potential, however, care should be taken to ensure that communication of polygenic risk does not feed into problematic assumptions regarding mental disorders or support reductive interpretations. (shrink)

The sociogenomics revolution is upon us, we are told. Whether revolutionary or not, sociogenomics is poised to flourish given the ease of incorporating polygenic scores (or PGSs) as “genetic propensities” for complex traits into social science research. Pointing to evidence of ubiquitous heritability and the accessibility of genetic data, scholars have argued that social scientists not only have an opportunity but a duty to add PGSs to social science research. Social science research that ignores genetics is, some proponents argue, (...) at best partial and likely scientifically flawed, misleading, and wasteful. Here, I challenge arguments about the value of genetics for social science and with it the claimed necessity of incorporating PGSs into social science models as measures of genetic influences. In so doing, I discuss the impracticability of distinguishing genetic influences from environmental influences because of non-causal gene–environment correlations, especially population stratification, familial confounding, and downward causation. I explain how environmental effects masquerade as genetic influences in PGSs, which undermines their raison d’être as measures of genetic propensity, especially for complex socially contingent behaviors that are the subject of sociogenomics. Additionally, I draw attention to the partial, unknown biology, while highlighting the persistence of an implicit, unavoidable reductionist genes versus environments approach. Leaving sociopolitical and ethical concerns aside, I argue that the potential scientific rewards of adding PGSs to social science are few and greatly overstated and the scientific costs, which include obscuring structural disadvantages and cultural influences, outweigh these meager benefits for most social science applications. (shrink)

Polygenic score (PGS) computations assume an additive model of gene action because associations between phenotypes and alleles at different loci are compounded, ignoring interactions between alleles or loci let alone between genotype and environment. Consequently, PGSs are subject to the same objections that invalidated traditional heritability analyses in the 1970s. Thus, PGSs should not be used in the social sciences.

We explore Madole & Harden's (2022) suggestion that single-nucleotide polymorphism (SNP)/trait correlations are analogous to randomized experiments and thus can be given a causal interpretation.

Polygenic scores cannot elucidate the mechanisms that produce behavioral phenotypes (including “intelligence”). Therefore, they are unlikely to yield helpful interventions. Moreover, they are poor predictors of individuals' developmental outcomes. Burt's critique is well-supported by the details of molecular biology. Specifically, experiences affect epigenetic factors that influence phenotypes via how the genome functions, a fact that lends support to Burt's conclusions.

This chapter relates the problem of demarcating the pathological from the non-pathological in psychiatry to the general problem of defining ‘disease’ in the philosophy of medicine. Section 2 revisits three prominent debates in medical nosology: naturalism versus normativism, the three dimensions of illness, sickness, and disease, and the demarcation problem. Sections 3–5 reformulate the demarcation problem in terms of semantic vagueness. ‘Disease’ exhibits vagueness of degree by drawing no sharp line in a continuum and is combinatorially vague because there are (...) several criteria for the term’s use that might fall apart. Combinatorial vagueness explains why the other two debates appear hopeless: Should we construe ‘disease’ in a naturalistic or in a normative way? Neither answer is satisfactory. How should we balance the three dimensions of pathology? We do not have to, because illness, sickness and disease (narrowly conceived) are non-competing criteria for the application of the cluster term ‘disease’. (shrink)

Technological developments have resulted in tremendous increases in the volume and diversity of the data and information that must be processed in the course of biomedical and clinical research and practice. Researchers are at the same time under ever greater pressure to share data and to take steps to ensure that data resources are interoperable. The use of ontologies to annotate data has proven successful in supporting these goals and in providing new possibilities for the automated processing of data and (...) information. In this chapter, we describe different types of vocabulary resources and emphasize those features of formal ontologies that make them most useful for computational applications. We describe current uses of ontologies and discuss future goals for ontology-based computing, focusing on its use in the field of infectious diseases. We review the largest and most widely used vocabulary resources relevant to the study of infectious diseases and conclude with a description of the Infectious Disease Ontology (IDO) suite of interoperable ontology modules that together cover the entire infectious disease domain. (shrink)

The Neurological Disease Ontology (ND) is being developed to provide a comprehensive framework for the representation of neurological diseases (Diehl et al., 2013). ND utilizes the model established by the Ontology for General Medical Science (OGMS) for the representation of entities in medicine and disease (Scheuermann et al., 2009). The goal of ND is to include information for each disease concerning its molecular, genetic, and environmental origins, the processes involved in its etiology and realization, as well as its clinical (...) presentation including signs and symptoms. (shrink)

This paper examines what it is for a condition to be a disease. It falls into two sections. In the first I examine the best existing account of disease (as proposed by Christopher Boorse) and argue that it must be rejected. In the second I outline a more acceptable account of disease. According to this account, by disease we mean a condition that it is a bad thing to have, that is such that we consider the afflicted person to have (...) been unlucky, and that can potentially be medically treated. All three criteria must be fulfilled for a condition to be a disease. The criterion that for a condition to be a disease it must be a bad thing is required to distinguish the biologically different from the diseased. The claim that the sufferer must be unlucky is needed to distinguish diseases from conditions that are unpleasant but normal, for example teething. Finally, the claim that for a condition to be a disease it must be potentially medically treatable is needed to distinguish diseases from other types of misfortune, for example economic problems and legal problems. (shrink)

Health, Disease, and Illness brings together a sterling list of classic and contemporary thinkers to examine the history, state, and future of ever-changing "concepts" in medicine.

Rare diseases pose a particular priority setting problem. The UK gives rare diseases special priority in healthcare priority setting. Effectively, the National Health Service is willing to pay much more to gain a quality-adjusted life-year related to a very rare disease than one related to a more common condition. But should rare diseases receive priority in the allocation of scarce healthcare resources? This article develops and evaluates four arguments in favour of such a priority. These pertain to (...) public values, luck egalitarian distributive justice the epistemic difficulties of obtaining knowledge about rare diseases and the incentives created by a higher willingness to pay. The first is at odds with our knowledge regarding popular opinion. The three other arguments may provide a reason to fund rare diseases generously. However, they are either overinclusive because they would also justify funding for many non-rare diseases or underinclusive in the sense of justifying priority for only some rare diseases. The arguments thus fail to provide a justification that tracks rareness as such. There are no data in this work. (shrink)

RECENT PHILOSOPHICAL ATTENTION TO THE LANGUAGE OF DISEASE HAS FOCUSED PRIMARILY ON THE QUESTION OF ITS VALUE-NEUTRALITY OR NON-NEUTRALITY. PROPONENTS OF THE VALUE-NEUTRALITY THESIS SYMBOLICALLY COMBINE POLITICAL AND OTHER CRITICISMS OF MEDICINE IN AN ATTACK ON WHAT THEY SEE AS VALUE-INFECTED USES OF DISEASE LANGUAGE. THE PRESENT ESSAY ARGUES AGAINST TWO THESES ASSOCIATED WITH THIS VIEW: A METHODOLOGICAL THESIS WHICH TENDS TO DIVORCE THE ANALYSIS OF DISEASE LANGUAGE FROM THE CONTEXT OF THE PRACTICE OF MEDICINE AND A SUBSTANTIVE THESIS WHICH (...) HOLDS THAT DISEASE LANGUAGE IS EVALUATIVELY NEUTRAL. IN PARTICULAR, THE ESSAY CRITICALLY FOCUSES ON THE VALUE NEUTRAL POSITION ADOPTED BY CHRISTOPHER BOORSE, WHICH HE TERMS A FUNCTIONAL THEORY OF DISEASE. THE ARGUMENT CONCERNS WHETHER OR NOT ONE CAN HAVE VALUE NEUTRAL DESCRIPTION OF DISEASE STATES OR WHETHER DISEASE LANGUAGE ESSENTIALLY INVOLVES VALUES. (shrink)

Conceptual analysis of health and disease is portrayed as consisting in the confrontation of a set of criteria—a “definition”—with a set of cases, called instances of either “health” or “ disease.” Apart from logical counter-arguments, there is no other way to refute an opponent’s definition than by providing counter-cases. As resorting to intensional stipulation is not forbidden, several contenders can therefore be deemed to have succeeded. This implies that conceptual analysis alone is not likely to decide between naturalism and normativism. (...) An alternative to this approach would be to examine whether the concept of disease can be naturalized. (shrink)

Rare genetic diseases collectively impact millions of individuals in the United States. These patients and their families share many challenges including delayed diagnosis, lack of knowledgeable providers, and limited economic incentives to develop new therapies for small patient groups. As such, rare disease patients and families often must rely on advocacy, including both self-advocacy to access clinical care and public advocacy to advance research. However, these demands raise serious concerns for equity, as both care and research for a given (...) disease can depend on the education, financial resources, and social capital available to the patients in a given community. In this article, we utilize three case examples to illustrate ethical challenges at the intersection of rare diseases, advocacy and justice, including how reliance on advocacy in rare disease may drive unintended consequences for equity. We conclude with a discussion of opportunities for diverse stakeholders to begin to address these challenges. (shrink)

Paul Griffiths and John Matthewson argue that selected effects play the key role in determining whether a state is pathological. In response, it is argued that a selected effects account faces a number of difficulties in light of modern genomic research. Firstly, a modern history approach to selection is problematic as a basis for assigning function to human traits in light of the small population sizes in the hominin lineage, which imply that selection has played a limited role in shaping (...) these genomes in the evolutionarily recent past. Secondly, determining both the genetic basis of disease and selective histories of the various alleles involved may be experimentally intractable. Thirdly, the existence of “selected disorders” is well supported, and yet on the other hand many other common diseases may not reduce evolutionary fitness. In summary, the biological ends promoted by natural selection, as best modeled in recent research, do not adequately ground a concept of dysfunction that aligns well with the interests of human health. (shrink)

Burt's critique of using polygenic scores in social science conflates the “scientific costs” of sociogenomics with “sociopolitical and ethical” concerns. Furthermore, she paradoxically enlists recent advances in controlling for environmental confounding to argue such confounding is scientifically “intractable.” Disinterested social scientists should support ongoing efforts to improve this technology rather than obstructing progress and excusing genetically confounded research.

, Lawrie Reznek argues that disease is not a natural kind term. I raise objections to Reznek's two central arguments for establishing that disease is not a natural kind. In criticizing his a priori, conceptual argument against naturalism, I argue that his conclusion rests on a weaker argument that appeals to the empirical diversity in the symptoms and manifestations of disease. I also raise questions about the account of natural kinds which Reznek utilizes and his point that conventions for classification (...) are excluded by there being natural kinds. Keywords: Disease, natural kind, value judgement CiteULike Connotea Del.icio.us What's this? (shrink)

There is a flood of papers being published on new ways to diagnose Alzheimer disease before it is symptomatic, involving a combination of invasive tests , and pen and paper tests. This changes the landscape with respect to genetic tests for risk of AD, making rational suicide a much more feasible option. Before the availability of these presymptomatic tests, even someone with a high risk of developing AD could not know if and when the disease was approaching. One could lose (...) years of good life by committing suicide too soon, or risk waiting until it was too late and dementia had already sapped one of the ability to form and carry out a plan. One can now put together what one knows about one's risk, with continuing surveillance via these clinical tests, and have a good strategy for planning one's suicide before one becomes demented. This has implications for how these genetic and clinical tests are marketed and deployed, and the language one uses to speak about them. The phrase ‘there is nothing one can do’ is insulting and disrespectful of the planned suicide option, as is the language of the Risk Evaluation and Education for Alzheimer's Disease studies and others that conclude that it is ‘safe’ to tell subjects their risk status for AD. Further, the argument put forward by some researchers that presymptomatic testing should remain within research protocols, and the results not shared with subjects until such time as treatments become available, disrespects the autonomy of people at high risk who consider suicide an option. (shrink)

If there is any value in the idea that disease is something other than the mere absence of health then that value must lie in the way that diseases are classified. This paper offers further development of a view advanced previously, the 'contrastive model' of disease: it develops the account to handle asymptomatic disease ; and in doing so it relates the model to a broadly biostatistical view of health. The developments are prompted by considering cancers featuring viruses as (...) prominent causes, since these appear to amount to cases where the prescriptions of the contrastive model could be followed, but aren't. The resulting irrelevance objection claims that the contrastive model is irrelevant to medical science and practice. The paper seeks to rebut the irrelevance objection. (shrink)

The early Stoics diagnose vicious agents with various psychological diseases, e.g. love of money and love of wine. Such diseases are characterized as false evaluative opinions that lead the agent to form emotional impulses for certain objects, e.g. money and wine. Scholars have therefore analyzed psychological diseases simply as dispositions for assent. This interpretation is incomplete, I argue, and should be augmented with the claim that psychological disease also affects what kind of action-guiding impressions are created prior (...) to giving assent. This proposal respects the Stoic insistence that impression-formation, no less than assent, is an activity of reason. In so far as the wine-lover’s reason is corrupted in a different way from the money-lover’s, the two vicious agents will form different action-guiding impressions when faced with similar stimuli. Here I juxtapose the Stoic account of expertise, according to which experts form more precise action-guiding impressions compared to the amateur, in virtue of possessing a system of grasps (katalēpseis). So expertise enhances, whereas psychological disease degrades, the representational fidelity of the impressions that prefigure action. With these commitments, the Stoics can be seen to offer a nuanced and principled theory of cognitive penetration and to anticipate some recent proposals in epistemology and cognitive science. (shrink)

The concept of disease remains hotly contested. In light of problems with existing accounts, some theorists argue that the disease concept ought to be eliminated. We answer this skeptical challenge by reframing the discussion in terms of the role that the disease concept plays in the complex network of health-care institutions in which it is deployed. We argue that while prevailing accounts do not suffer from the particular defects that critics have identified, they do suffer from other deficits, and this (...) leads us to propose a new account that satisfies the desiderata for a concept of disease in human medicine. (shrink)

Debates about the genuine disease status of controversial diseases rely on intuitions about a range of factors. Adopting tools from experimental philosophy, this paper explores some of the factors that influence judgments about whether low sexual desire should be considered a disease and whether it should be medically treated. Drawing in part on some assumptions underpinning a divide in the literature between viewing low sexual desire as a genuine disease and seeing it as improperly medicalized, we investigate whether health (...) and disease judgments are affected by factors such as an individual’s gender, the cause of the low desire, whether the desire is high or low, and both personal and societal valuations of the condition. Our main findings indicate that (a) the cause of a condition influences whether it is judged a disorder, (b) how the individual values the condition influences whether the condition is seen as a proper target of medical intervention, and (c) perceived dysfunction influences judgments regarding health, disorder classification, medicalization, and medical intervention. Our findings help further illuminate the intricate interplay of factors that influence judgments about health and disease in controversial conditions. (shrink)

The vagueness or imprecision of ‘the normal’ allows it to be exploited for various purposes and political ends. It is conspicuous in both medicine and athletics; I am going to try to say something about the normal in each of these areas. In medicine the idea of the normal is often deployed in understanding what constitutes disease and hence, as some see it, in determining the role of physicians, in determining what is or ought to be covered by insurance, and (...) in underwriting certain views on social justice. In athletics the use of performance enhancing substances raises different sorts of questions about the normal, especially when it comes to deciding what constitutes an enhancement and which enhancements, if any, are acceptable. (shrink)

The following article presents preliminary reflections on a processual theory of health and disease. It does this by steering the discussion more toward an ontology of organisms rather than conceptual analysis of the semantic content of the terms “health” and “disease.” In the first section, four meta-theoretical assumptions of the traditional debate are identified and alternative approaches to the problems are presented. Afterwards, the view that health and disease are constituted by a dynamic relation between demands imposed on an organism (...) and individual presuppositions for adequate response is developed. In the last section, the paper takes stock of three possible objections to and clarifies some implications of this approach to the notions of health and disease. (shrink)

Recent philosophical attention to the language of disease has focused primarily on the question of its value-neutrality or non-neutrality. Proponents of the value-neutrality thesis symbolically combine political and other criticisms of medicine in an attack on what they see as value-infected uses of disease language. The present essay argues against two theses associated with this view: a methodological thesis which tends to divorce the analysis of disease language from the context of the practice of medicine and a substantive thesis which (...) holds that disease language is evaluatively neutral. In particular, the essay critically focuses on the value neutral position adopted by Christopher Boorse, which he terms a functional theory of disease. The argument concerns whether or not one can have value neutral description of disease states or whether disease language essentially involves values. (shrink)