Attempts to explain behavior genetically face two major problems: the application of the concept of genetic coding and the theoretical possibility of decomposing behavior. This paper argues that using the notion of genetic coding is appropriate in explanations of protein synthesis but inadequate and even misleading in the context of explanations of behavior. Genes should be regarded as disparate components of mechanisms that account for behavior rather than as codes for behavioral phenotypes. Such mechanistic explanations, (...) however, presuppose the possibility of decomposing behavioral phenotypes, which is strongly disputed by researchers holding an interactionist view of behavior. It is argued that these researchers fail to distinguish etiological from constitutive decomposition, and that their objections apply to the former but not to the latter kind. Constitutive decomposition might identify genes as disparate components and open up the possibility of explaining behavior mechanistically by isolating causal paths from genes to behavior. Finally, research on the single gene disorder phenylketonuria is introduced to illustrate and test these views. With respect to this disorder it is demonstrated that applying the concept of genetic coding would be inappropriate and misguiding, while nonetheless the phenotype is decomposable and can be explained mechanistically by singling out a genetic causal path.t is demonstrated that applying the concept of genetic coding would be inappropriate and misguiding, while nonetheless the phenotype is decomposable and can be explained mechanistically by singling out a genetic causal path. (shrink)

Genetic explanations of religious belief, such as Freud’s analysis of theism as ‘a neurotic relic’, pose a problem for theists: how far do such explanations establish the irrationality of religious belief? I argue that genetic analyses of belief suffer from a number of limitations. Showing that some reason-irrelevant factor or factors were sufficient to produce conviction on some occasion would not establish that they were necessary in every case of religious conviction. Showing that reason-irrelevant factors were (...) both necessary and sufficient to produce conviction would not establish that reason-relevant factors were entirely absent. And showing that reason-relevant factors played no role in the adoption of the belief would not establish that they were absent in its continued retention. I conclude that we will profitably investigate the plausibility of religious beliefs by attending to the reasons that can be given for or against them rather than by speculating about their causes. (shrink)

No longer viewed by scientists as the cell’s fixed master molecule, DNA is a dynamic script that is ad-libbed at each stage of development. What our parents hand down to us is just the beginning. Genetic Explanations urges us to replace our faith in genetic determinism with scientific knowledge about genetic plasticity and epigenetic inheritance.

Explanations in genetics have intriguing aspects to both biologists and philosophers, and there is no account that satisfactorily elucidates such explanations. The aim of this article is to analyze the kind of explanations usually given in Classical (Transmission) Genetics (CG) and to present in detail the application of an account of explanation as ampliative, specialized nomological embedding to elucidate the such explanations. First, we present explanations in CG in the classical format of inferences with the (...) explanans as the premises and the explanandum as the conclusion and compare them with explanations in other paradigmatic explanatory fields such as Classical Mechanics. Second, we summarize the main aspects discussed in the literature with regard the peculiarities of genetic explanations. Third, we introduce the account of scientific explanation as ampliative, specialized nomological embedding making use of Sneedian structuralism, in particular the notions of theory-net, fundamental law or guiding principle, specialization, and special laws. Finally, we apply this account to the case of CG and show that this analysis sheds light to the intriguing aspects of genetic explanations and remove most of their alleged oddities. (shrink)

I distinguish two versions of kin selection theory—a purely genetic version and a version that also appeals to cultural forms of cooperation —and present an argument in favor of using the former when it comes to accounting for the evolution of cooperation in non-human organisms. Specifically, I first show that both GKST and WKST are equally mathematically coherent—they can both be derived from the Price equation—but not necessarily equally empirically plausible, as they are based on different assumptions about the (...) inheritance system underlying the cooperative phenotype. Given this, I then, second, present a model selection theoretic argument in favor of GKST over WKST. This argument is based on the fact that, in non-human cases, the former theory is likely to be as empirically successful as WKST, while containing fewer degrees of freedom. I end by defending both the intrinsic importance of this argument and its relevance to the discussion surrounding the “gene’s eye view of evolution.”. (shrink)

The paper argues for a pragmatic account of genetic explanation. This is to say that when a disease or other trait is termed genetic, the reasons for singling out genes as causes over other, also necessary, genetic and nongenetic conditions are not wholly theoretical but include pragmatic dimensions. Whether the explanation is the presence of a trait in an individual or differences in a trait among individuals, genetic explanations are context-dependent in three ways: they are (...) relative to a causal background of genetic and nongenetic factors; they are relative to a population; and they are relative to the present state of knowledge. Criteria like causal priority, nonstandardness, and causal efficacy that purport to distinguish objectively between genetic causes and nongenetic conditions either incorporate pragmatic elements or fail for other reasons. When the pragmatic dimensions of genetic explanations are recognized, we come to understand the current phenomenon of geneticization to be a reflection of increased technological capacities to manipulate genes in the laboratory, and potentially the clinic, rather than theoretical progress in understanding how diseases and other traits arise. This calls into question the value of the search for theoretical definitions of designations like genetic disease or genetic susceptibility as directives for action. (shrink)

The recent literature in philosophy of biology has drawn attention to the different sorts of explanations proffered in the biological sciences—we have molecular, biomedical, and evolutionary explanations. Do these explanations all have a common structure or relation that they seek to capture? This paper will answer in the negative. I defend a pluralistic and pragmatic approach to explanation. Using examples from classical population genetics, I argue that formal demonstrations, and even strictly “mathematical truths,” may serve as explanatory (...) in different historical contexts. (shrink)

I use a contrastive theory of causal explanation to analyze the notion of a genetic trait. The resulting definition is relational, an implication of which is that no trait is genetic always and everywhere. Rather, every trait may be either genetic or non-genetic, depending on explanatory context. I also outline some other advantages of connecting the debate to the wider causation literature, including how that yields us an account of the distinction between genetic traits and (...) genetic dispositions. (shrink)

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)

Given the rise of genetic etiological beliefs regarding psychiatric disorders, a growing body of research has focused on trying to elucidate the effects that such explanatory frameworks might be having on how mental disorders are perceived by patients, clinicians, and the general public. Genetic and other biomedical explanations of mental disorders have long been seen as a potential tool in the efforts to destigmatize mental disorders, given the harshness of the widespread negative attitudes about them and the (...) important negative clinical and social impacts of this stigma. The conventional wisdom has appeared to be that because the effects of genes are seen as falling outside individual control, conceiving of mental disorders as caused by genes casts patients as blameless, thereby reducing stigmatization. Indeed, the results of experimental and correlational research have now robustly linked genetic and other biomedical explanations for mental disorders with reductions in the extent to which people are blamed for their psychiatric symptoms. However, research examining the impact of genetic and other biomedical explanations of mental disorders has also suggested that they can have significant downsides. The most consistently observed negative effect of these kinds of explanations is that they can apparently lead to the assumption that mental disorders are unlikely to improve or abate. Genetic and other biomedical explanations of mental disorders can also increase people’s confidence in the effectiveness of biomedical treatments (such as pharmacotherapy) but decrease their confidence in the effectiveness of “nonbiomedical” treatments (such as psychotherapy). (shrink)

In the 20th century, genetic explanatory approaches became dominant in both developmental and evolutionary biological research. By contrast, physical approaches, which appeal to properties such as mechanical forces, were largely relegated to the margins, despite important advances in modeling. Recently, there have been renewed attempts to find balanced viewpoints that integrate both biological physics and molecular genetics into explanations of developmental and evolutionary phenomena. Here we introduce the 2017 SICB symposium “Physical and Genetic Mechanisms for Evolutionary Novelty” (...) that was dedicated to exploring empirical cases where both biological physics and developmental genetic considerations are crucial. To further contextualize these case studies, we offer two theoretical frameworks for integrating genetic and physical explanations: combining complementary perspectives and comprehensive unification. We conclude by arguing that intentional reflection on conceptual questions about investigation, explanation, and integration is critical to achieving significant empirical and theoretical advances in our understanding of how novel forms originate across the tree of life. (shrink)

Really statistical explanation is a hitherto neglected form of noncausal scientific explanation. Explanations in population biology that appeal to drift are RS explanations. An RS explanation supplies a kind of understanding that a causal explanation of the same result cannot supply. Roughly speaking, an RS explanation shows the result to be mere statistical fallout.

With the advent of the Human Genome Project there have been many claims for the genetic origins of complex human behavior including insanity, criminality, and intelligence. But what does it really mean to call something 'genetic'? This is the fundamental question that Sahotra Sarkar's book addresses. The author analyses the nature of reductionism in classical and molecular genetics. He shows that there are two radically different kinds of reductionist explanation: genetic reduction (as found in classical genetics) and (...) physical reduction (found in molecular genetics). This important book clarifies the meaning of the term 'genetic', shows how molecular studies have affected genetics, and provides the philosophical background necessary to understand the debates over the Human Genome Project. It will be of particular interest to professionals and students in the philosophy of science, the history of science, and the social studies of science, medicine, and technology. (shrink)

Purpose Genetic research, via the mainstream media, presents the public with novel, profound findings almost on a daily basis. However, it is not clear how much laypeople understand these presentations and how they integrate such new findings into their knowledge base. Genetic knowledge (GK), existing causal beliefs, and genetic essentialist tendencies (GET) have been implicated in such processes; the current study assesses the relationships between these elements and how brief presentations of media releases of scientific findings about (...) genetics are consumed and affect the readers. -/- Methods An Australian national survey of GK, GET, and existing causal beliefs about health phenomena (heart disease and obesity) was conducted. Participants were also exposed to news headlines that offered genetic and non-genetic partial explanations of the same health phenomena and reported their evaluations of these headlines, as well as the effects of the headlines on their personal understanding of the health phenomena. -/- Results GK was negatively-associated with GET. Whereas GK did not directly predict the evaluation and effects of the genetic headlines, GET did. GK predicted the effects of the headlines indirectly via GET and via GET and existing causal beliefs. -/- Conclusion GET seem to predict unwarranted effects of exposure to news headlines about genetic science, whereas GK seems to indirectly mitigate the same unwarranted effects. (shrink)

Despite several decades of criticism, dichotomous thinking about behavioral development remains widespread and influential. This is particularly true in study of birdsong development, where it has become increasingly common to diagnose songs, elements of songs, or precursors of songs as either innate or learned on the basis of isolation-rearing experiments. The theory of sensory templates has encouraged both the dichotomous approach and an emphasis on structural rather than functional aspects of song development. As a result, potentially important lines of investigation (...) have been overlooked and the interpretation of existing data is often flawed. Evidence for a genetic origin of behavioraldifferencesis frequently interpreted as evidence for the genetic determination of behavioralcharacters. The technique of isolation rearing remains the methodology of choice for many investigators, despite the fact that it offers only a rather crude analysis of the contribution of experience to song development and provides no information at all about genetic contributions to development. The latter could in principle be elucidated by the application of developmental-genetic techniques, but it is unlikely that these can easily be applied to the study of birdsong. Because developmental questions are so often posed in terms of the learned–innate dichotomy, “experience” is taken to be synonymous with “learning” and the possible role of nonobvious contributions to song development has largely been ignored. An alternative approach, based on Daniel Lehrman's interactionist theory of development, permits a more thorough appreciation of the problems that have yet to be addressed, and provides a more secure conceptual foundation for theories of song development. (shrink)

There are a number of reasons to question the established molecular-only (or materialist) model of life. These include a number of extraordinary behaviors and more generally the unfolding inability to identify a DNA (or genetic) basis for many innate, and presumed heritable, conditions. Perhaps the simplest way to question materialism, though, is by looking at prodigal (human) behaviors. There you can find some incredible abilities and inclinations which strongly challenge the plausibility of materialist explanations. Herein three such phenomena (...) will be considered: a childhood behavioral syndrome termed the Einstein syndrome; prodigious savants; and then the observed historical rise in our IQ’s, termed the Flynn effect. In isolation, each of these mysteries offers plenty of puzzlement, but in the context of the lack of a genetic explanation for the variations in intelligence, it will be argued that together they represent a major conundrum for the modern understanding of humans. Additionally, and in possible support for dualism, some reincarnation-based explanations will be presented. Furthermore, the particular challenges and complications posed by the Flynn effect (as well as instincts) will be considered. (shrink)

This book is divided in two parts, the first of which shows how, beyond paleontology and systematics, macroevolutionary theories apply key insights from ecology and biogeography, developmental biology, biophysics, molecular phylogenetics, and even the sociocultural sciences to explain evolution in deep time. In the second part, the phenomenon of macroevolution is examined with the help of real life-history case studies on the evolution of eukaryotic sex, the formation of anatomical form and body-plans, extinction and speciation events of marine invertebrates, hominin (...) evolution and species conservation ethics. The book brings together leading experts, who explain pivotal concepts such as Punctuated Equilibria, Stasis, Developmental Constraints, Adaptive Radiations, Habitat Tracking, Turnovers, (Mass) Extinctions, Species Sorting, Major Transitions, Trends, and Hierarchies – key premises that allow macroevolutionary epistemic frameworks to transcend microevolutionary theories that focus on genetic variation, selection, migration and fitness. Along the way, the contributing authors review ongoing debates and current scientific challenges; detail new and fascinating scientific tools and techniques that allow us to cross the classic borders between disciplines; demonstrate how their theories make it possible to extend the Modern Synthesis; present guidelines on how the macroevolutionary field could be further developed; and provide a rich view of just how it was that life evolved across time and space. In short, this book is a must-read for active scholars and, because the technical aspects are fully explained, it is also accessible for non-specialists. Understanding evolution requires a solid grasp of above-population phenomena. Species are real biological individuals, and abiotic factors impact the future course of evolution. Beyond observation, when the explanation of macroevolution is the goal, we need both evidence and theory that enable us to explain and interpret how life evolves at the grand scale. (shrink)

What role does non-genetic inheritance play in evolution? In recent work we have independently and collectively argued that the existence and scope of non-genetic inheritance systems, including epigenetic inheritance, niche construction/ecological inheritance, and cultural inheritance—alongside certain other theory revisions—necessitates an extension to the neo-Darwinian Modern Synthesis (MS) in the form of an Extended Evolutionary Synthesis (EES). However, this argument has been challenged on the grounds that non-genetic inheritance systems are exclusively proximate mechanisms that serve the ultimate function (...) of calibrating organisms to stochastic environments. In this paper we defend our claims, pointing out that critics of the EES (1) conflate non-genetic inheritance with early 20th-century notions of soft inheritance; (2) misunderstand the nature of the EES in relation to the MS; (3) confuse individual phenotypic plasticity with trans-generational non-genetic inheritance; (4) fail to address the extensive theoretical and empirical literature which shows that non-genetic inheritance can generate novel targets for selection, create new genetic equilibria that would not exist in the absence of non-genetic inheritance, and generate phenotypic variation that is independent of genetic variation; (5) artificially limit ultimate explanations for traits to gene-based selection, which is unsatisfactory for phenotypic traits that originate and spread via non-genetic inheritance systems; and (6) fail to provide an explanation for biological organization. We conclude by noting ways in which we feel that an overly gene-centric theory of evolution is hindering progress in biology and other sciences. (shrink)

The aim of this paper is to show that critics of biological explanations of human nature may be granting too much to those who propose such explanations when they argue that the truth of genetic determinism implies an end to critical evaluation and reform of our social institutions. This is the case because when we argue that biological determinism exempts us from social critique we are erroneously presupposing that our social values, practices, and institutions have nothing to (...) do with what makes biological explanations troublesome. My argument is that what constitutes a problem for those who are concerned with social justice is not the fact that particular behaviours may be genetically determined, but the fact that our value system and social institutions create the conditions that make such behaviours problematic. Thus, I will argue that even if genetic determinism were correct, the requirement of assessing and transforming our social practices and institutions would be far from superfluous. Biology is rarely destiny for human beings and the institutions they create. (shrink)

Besides mechanistic explanations of phenomena, which have been seriously investigated in the last decade, biology and ecology also include explanations that pinpoint specific mathematical properties as explanatory of the explanandum under focus. Among these structural explanations, one finds topological explanations, and recent science pervasively relies on them. This reliance is especially due to the necessity to model large sets of data with no practical possibility to track the proper activities of all the numerous entities. The paper (...) first defines topological explanations and then explains why topological explanations and mechanisms are different in principle. Then it shows that they are pervasive both in the study of networks—whose importance has been increasingly acknowledged at each level of the biological hierarchy—and in contexts where the notion of selective neutrality is crucial; this allows me to capture the difference between mechanisms and topological explanations in terms of practical modelling practices. The rest of the paper investigates how in practice mechanisms and topologies are combined. They may be articulated in theoretical structures and explanatory strategies, first through a relation of constraint, second in interlevel theories, or they may condition each other. Finally, I explore how a particular model can integrate mechanistic informations, by focusing on the recent practice of merging networks in ecology and its consequences upon multiscale modelling. (shrink)

This chapter contains sections titled: Information Management: Confidentiality, Autonomy and Non‐Directiveness Predictive Genetic Testing Childhood Genetic Testing Genetic Screening Informed Consent to Screening Newborn Screening Carrier Screening Prenatal Screening Susceptibility Screening Further Information Management Goals of Genetic Screening: Public Health vs Individual Choice Conclusion References Further reading.

The authors have undertaken a study to explore the views in non-Western cultures about ending the lives of newborns with genetic defects. This study consists of including active euthanasia alongside withdrawal and withholding of treatment as potential methods used.Apart from radicalising the support for active euthanasia in certain instances of neonatal diagnoses, is another interesting point that views of children and death are shaped by religion and culture and are especially highly charged with culturally specific symbolism/s. Furthermore, this is (...) augmented in the context of non-Western cultures—further polarising the positivist ethics of Western scientific medicine from the cultures that affect only those who are members of ‘other’ societies.From this starting point, the authors shift the focus from clinical explanations of the causation and prognosis of the genetic defects and enter a dialogue with cultural narratives. Consequently, their argument is, broadly, a reassessment of medical practice as a contextualisation of a particular culture/s rather than indifferent or independent from cultural forces or influences.This is a radical claim. …. (shrink)

The transhumanist project of reshaping human beings by promoting their improvement through technological innovations has a broad agenda. This study focuses on the enhancement of the human organism through genetic modification techniques. Transhumanism values and a discussion of their philosophical background provide a framework to understand its ideals. Genetics and ethics are employed to assess the claims of the transhumanist program of human enhancement. A succinct description of central concepts in genetics and an explanation of current techniques to edit (...) the human genome serve to assess the capabilities and limitations of editing techniques. Potential benefits and liabilities of human enhancement through genome editing are discussed to appraise its feasibility. Ethical considerations of genome editing inform a reflection on the implications of introducing heritable changes in the genome of individuals. It is concluded that the transhumanist program is underpinned by a large number of hypotheses rather than by sufficient evidence. (shrink)

We argue that Madole & Harden's distinction between shallow versus deep genetic causes can bring some clarity to causal claims arising from genome-wide association studies (GWASs). However, the authors argue that GWAS only finds shallow genetic causes, making GWAS commensurate with the environmental studies they hope to supplant. We also assess whether their distinction applies best to explanations or causes.

Until recently, the notions of function and multiple realization were supposed to save the autonomy of psychological explanations. Furthermore, the concept of supervenience presumably allows both dependence of mind on brain and non-reducibility of mind to brain, reconciling materialism with an independent explanatory role for mental and functional concepts and explanations. Eliminativism is often seen as the main or only alternative to such autonomy. It gladly accepts abandoning or thoroughly reconstructing the psychological level, and considers reduction if successful (...) as equivalent with elimination. In comparison with the philosophy of mind, the philosophy of biology has developed more subtle and complex ideas about functions, laws, and reductive explanation than the stark dichotomy of autonomy or elimination. It has been argued that biology is a patchwork of local laws, each with different explanatory interests and more or less limited scope. This points to a pluralistic, domain-specific and multi-level view of explanations in biology. Explanatory pluralism has been proposed as an alternative to eliminativism on the one hand and methodological dualism on the other hand. It holds that theories at different levels of description, like psychology and neuroscience, can co-evolve, and mutually influence each other, without the higher-level theory being replaced by, or reduced to, the lower-level one. Such ideas seem to tally with the pluralistic character of biological explanation. In biological psychology, explanatory pluralism would lead us to expect many local and non-reductive interactions between biological, neurophysiological, psychological and evolutionary explanations of mind and behavior. This idea is illustrated by an example from behavioral genetics, where genetics, physiology and psychology constitute distinct but interrelated levels of explanation. Accounting for such a complex patchwork of related explanations seems to require a more sophisticated and precise way of looking at levels than the existing ideas on (reductive and non-reductive) explanation in the philosophy of mind. (shrink)

The research program Spit For Science was launched at Virginia Commonwealth University (VCU) in 2011. Since then, more than 10,000 freshmen have been enrolled in the program, filling out extensive questionnaires about their drinking, general substance use, and related behaviors, and also contributing saliva for genotyping. The goals of the program, as initially stated by the investigators, were to find the genes underlying the heritability of alcohol use and related behaviors, and in addition to put genetic knowledge to work (...) in ways that might aid university administrators and mental health professionals in the prevention and treatment of substance abuse. We review every empirical paper involving genetic data that has emerged from the program, and reach a surprising conclusion: the study has never identified a single genetic effect of more than trivial magnitude. Although the quantitative results of the studies were reported transparently, the theoretical ramifications of the negligible results have never been acknowledged. To the contrary, most of the papers ignore the tiny effects, reaching optimistic conclusions about the prospects for future genetic explanations of alcohol use. We explore the implications of these results for the broader prospects of applied psychiatric genetics. (shrink)

Genetic epistemology analyzes the growth of knowledge both in the individual person (genetic psychology) and in the socio-historical realm (the history of science). But what the relationship is between the history of science and genetic psychology remains unclear. The biogenetic law that ontogeny recapitulates phylogeny is inadequate as a characterization of the relation. A critical examination of Piaget's Introduction à l'Épistémologie Généntique indicates these are several examples of what I call stage laws common to both areas. Furthermore, (...) there is at least one example of a paradoxical inverse relation between the two — geometry. Both similarities and differences between the two domains require an explanation, a developmental explanation. Although such an explanation seems to be psychological in nature, it is not merely empirical but also normative (since psychology is both factual and normative according to Piaget). Hence genetic epistemology need not be reduced to psychology (narrowly conceived), but rather should be seen as being both empirical and normative and thus similar to certain types of contemporary philosophy of science. (shrink)

Behaving presents an overview of the recent history and methodology of behavioral genetics and psychiatric genetics, informed by a philosophical perspective. Kenneth F. Schaffner addresses a wide range of issues, including genetic reductionism and determinism, "free will," and quantitative and molecular genetics. The latter covers newer genome-wide association studies that have produced a paradigm shift in the subject, and generated the problem of "missing heritability." Schaffner also presents cases involving pro and con arguments for genetic testing for IQ (...) and for Attention Deficit Hyperactivity Disorder. Schaffner examines the nature-nurture controversy and Developmental Systems Theory using C. elegans or "worm" studies as a test case, concluding that genes are special and provide powerful tools, including "deep homology," for investigating behavior. He offers a novel account of biological knowledge emphasizing the importance of models, mechanisms, pathways, and networks, which clarifies how partial reductions provide explanations of traits and disorders. The book also includes examinations of personality genetics and of schizophrenia and its etiology, alongside interviews with prominent researchers in the area, and discusses debates about psychosis that led to changes in the DSM-5 in 2013.Schaffner concludes by discussing additional philosophical implications of the genetic analyses in the book, some major worries about "free will," and arguments pro and con about why genes and DNA are so special. Though genes are special, newer perspectives presented in this book will be needed for progress in behavioral genetics- perspectives that situate genes in complex multilevel prototypic pathways and networks. With a mix of optimism and pessimism about the state of the field and the subject, Schaffner's book will be of interest to scholars in the history and philosophy of science, medicine, and psychiatry. (shrink)

The role of genetic relatedness in social evolution has recently come under critical attention. These arguments are here critically analyzed, both theoretically and empirically. It is argued that when the conceptual structure of the theory of natural selection is carefully taken into account, genetic relatedness can be seen to play an indispensable role in the evolution of both facultative and advanced eusociality. Although reviewing the empirical evidence concerning the evolution of eusociality reveals that relatedness does not play a (...) role in the initial appearance of helper phenotypes, this follows simply from the fact that natural selection – of which relatedness is a necessary component – does not play a causal role in the origin of any traits. Further, separating two logically distinct elements of causal explanation – necessity and sufficiency – explains why the debate lingers on: although relatedness plays a necessary role in the evolution of helping and advanced eusociality, relatedness alone is not sufficient for their appearance. Therefore, if the relatedness variable in a given data set is held at a uniformly high value, then it indeed may turn out that other factors occupy a more prominent role. However, this does not change the fact that high relatedness functions as a necessary background condition for the evolution of advanced eusociality. (shrink)

Chance comes into plays at many levels of the explanation of the evolutionary process; but the unity of sense of this category is problematic. The purpose of this talk is to clarify the meaning of chance at various levels in evolutionary theory: mutations, genetic drift, genetic revolutions, ecosystems, macroevolution. Three main concepts of chance are found at these various levels: luck (popular concept), randomness (probabilistic concept), and contingency relative to a given theoretical system (epistemological concept). After identifying which (...) concept(s) of chance fit(s) with these levels, the question is raised whether these concepts can be reduced to a smaller number, and whether chance in evolutionary theory has a subjective or an objective sense. (shrink)

Sexual selection provides an adequate partial explanation for the difference in means between the distributions, but fails to explain the difference in variance, that is, the overrepresentation of both boys with outstanding mathematical reasoning ability and boys with mental retardation. Other genetic factors are probably at work. While spatial ability is correlated with OMRA, so are other cognitive abilities. OMRA is not reducible to spatial ability; hence selection for navigational skill is unlikely to be the only mechanism by which (...) males have gained an advantage in OMRA. (shrink)

One of the central aims of science is explanation: scientists seek to uncover why things happen the way they do. This chapter addresses what kinds of explanations are formulated in biology, how explanatory aims influence other features of the field of biology, and the implications of all of this for biology education. Philosophical treatments of scientific explanation have been both complicated and enriched by attention to explanatory strategies in biology. Most basically, whereas traditional philosophy of science based explanation on (...) derivation from scientific laws, there are many biological explanations in which laws play little or no role. Instead, the field of biology is a natural place to turn for support for the idea that causal information is explanatory. Biology has also been used to motivate mechanistic accounts of explanation, as well as criticisms of that approach. Ultimately, the most pressing issue about explanation in biology may be how to account for the wide range of explanatory styles encountered in the field. This issue is crucial, for the aims of biological explanation influence a variety of other features of the field of biology. Explanatory aims account for the continued neglect of some central causal factors, a neglect that would otherwise be mysterious. This is linked to the persistent use of models like evolutionary game theory and population genetic models, models that are simplified to the point of unreality. These explanatory aims also offer a way to interpret many biologists’ total commitment to one or another methodological approach, and the intense disagreements that result. In my view, such debates are better understood as arising not from different theoretical commitments, but commitments to different explanatory projects. Biology education would thus be enriched by attending to approaches to biological explanation, as well as the unexpected ways that these explanatory aims influence other features of biology. I suggest five lessons for teaching about explanation in biology that follow from the considerations of this chapter. (shrink)

Human genetics has blossomed from an obscure biological science and explanation for rare disorders to a field that is profoundly altering health care for everyone. This thoroughly updated new edition of _Human Genetics: The Basics_ provides a concise background of gene structure and function through the lens of real examples, from families living with inherited diseases to population-wide efforts in which millions of average people are learning about their genetic selves. The book raises compelling issues concerning: • The role (...) of genes in maintaining health and explaining sickness • Genetic testing, gene therapy, and genome editing • The common ancestry of all humanity and how we are affecting our future. Written in an engaging, narrative manner, this concise introduction is an ideal starting point for anyone who wants to know more about genes, DNA, genomes, and the genetic ties that bind us all. (shrink)

Creating Future People offers readers a fast-paced primer on how new genetic technologies will enable parents to influence the traits of their children, including their intelligence, moral capacities, physical appearances, and immune systems. It deftly explains the science of gene editing and embryo selection, and raises the central moral questions with colorful language and a brisk style. Jonathan Anomaly takes seriously the diversity of preferences parents have, and the limits policymakers face in regulating what could soon be a global (...) market for reproductive technology. He argues that once embryo selection for complex traits happens it will change the moral landscape by altering the incentives available to parents. 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 navigates difficult ethical issues with vivid language and scientifically-informed speculation about how genetic engineering will transform humanity. Key Features: Offers clear explanations of scientific concepts Explores important moral questions without academic jargon Brings discoveries from different fields together to give us a sense of where humanity is headed. (shrink)

This article reconsiders the theoretical role of the genetic code. By drawing on published and unpublished sources from the 1950s, I analyse how the code metaphor was actually employed by the scientists who first promoted its use. The analysis shows that the term ‘code’ picked out mechanism sketches, consisting of more or less detailed descriptions of ordinary molecular components, processes, and structural properties of the mechanism of protein synthesis. The sketches provided how-possibly explanations for the ordering of amino (...) acids by nucleic acids. I argue that employing the code metaphor was justified in virtue of its descriptive-denotational and explanatory roles, and because it highlighted a similarity with conventional codes that was particularly salient at the time. 1 Introduction2 Coding Schemes in the 1950s2.1 The research problem: Determining amino acid sequences2.2 The solution: Mapping schemes or ‘codes’3 The Code Metaphor Played Descriptive and Explanatory Roles4 Theness of Codes and the Expendability of the Code Metaphor5 The Role of Arbitrariness6 Conclusions. (shrink)

The aim of this virtual special issue is to bring together philosophical and historical perspectives to address long-standing issues in the interpretation, utility, and impacts of quantitative genetics methods and findings. Methodological approaches and the underlying scientific understanding of genetics and heredity have transformed since the field's inception. These advances have brought with them new philosophical issues regarding the interpretation and understanding of quantitative genetic results. The contributions in this issue demonstrate that there is still work to be done (...) integrating old and new methodological and conceptual frameworks. In some cases, new results are interpreted using assumptions based on old concepts and methodologies that need to be explicitly recognised and updated. In other cases, new philosophical tools can be employed to synthesise historical quantitative genetics work with modern methodologies and findings. This introductory article surveys three general themes that have dominated philosophical discussion of quantitative genetics throughout history: (1) how methodologies have changed and transformed our knowledge and interpretations; (2) whether or not quantitative genetics can offer explanations relating to causation and prediction; and (3) the importance of defining the phenotypes under study. We situate the contributions in this virtual special issue within a historical framework addressing these three themes. (shrink)

An excellent translation of Sartre's brilliant tour de force. Sartre's style could hardly be less inviting; meanings shift in dialectical patterns and verbal "whirligigs," making quotation a hazardous affair. Yet there is probably no sustained reflection on evil equal in depth or thoroughness to this book in modern literature. Sartre's work is also a very specific attempt "to indicate the limit of psychoanalytical interpretation and Marxist explanation." The book is about Genet; but Genet "holds the mirror up to us, we (...) must look at it and see ourselves." What we see is not only what we are, as a sociologist might describe a state of affairs, but also what we fail to be. Perhaps the book should be assessed primarily as a philosophical experience from which ideas emerge, rather than as an articulation of ideas, arguments or conclusions.—C. D. (shrink)

This article presents a challenge that those philosophers who deny the causal interpretation of explanations provided by population genetics might have to address. Indeed, some philosophers, known as statisticalists, claim that the concept of natural selection is statistical in character and cannot be construed in causal terms. On the contrary, other philosophers, known as causalists, argue against the statistical view and support the causal interpretation of natural selection. The problem I am concerned with here arises for the statisticalists because (...) the debate on the nature of natural selection intersects the debate on whether mathematical explanations of empirical facts are genuine scientific explanations. I argue that if the explanations provided by population genetics are regarded by the statisticalists as non-causal explanations of that kind, then statisticalism risks being incompatible with a naturalist stance. The statisticalist faces a dilemma: either she maintains statisticalism but has to renounce naturalism; or she maintains naturalism but has to content herself with an account of the explanations provided by population genetics that she deems unsatisfactory. This challenge is relevant to the statisticalists because many of them see themselves as naturalists. (shrink)

A new evolutionary concept is presented, based on the principle of biological diversity by organismal adaptation, more specifically the origin of the first variations and the process leading to speciation. The article suggests the mechanism of stimulation as the major promoter of genetic variation, making an overall assessment and accurate to the natural phenomenon responsible for this evolutionary step. Constantly, environmental forces interact with the organism, favoring changes to the organs toward adaptation. Stimulation focuses on this action?reaction between organism (...) and environment, trying to decipher the causes/consequences resulting. The article also addresses possible relationships and constraints with neo-Darwinism. (shrink)

Due to their frequent uneven cognitive profiles, genetic developmental disorders allow researchers to investigate which numerical sub-system of those present in typically developing infants best predicts subsequent numerical abilities. More importantly, they can provide evidence of which other cognitive abilities outside number are necessary for the successful development of these numerical sub-systems. We discuss evidence from cross-syndrome comparisons of adults, adolescents, children, and infants with Williams syndrome and those with Down syndrome to show that the approximate magnitude sub-system is (...) crucial for later number development. In addition, we show that specific problems outside the number domain, and within basic-level visual and attention systems contribute to an explanation of the difficulties and proficiencies observed within each genetic disorder. Finally, we argue that a truly developmental approach is critical when using the cross-syndrome design in order to reveal subtle differences that impact over time on the development of cognitive abilities. (shrink)

This article explores the ethical implications of recent discussions that naturalize the relationship between race, the body and sport within the frame of genetic science. Many suggestions of a racially distributed genetic basis for athletic ability and performance are strategically posited as a resounding critique of the `politically correct' meta-narratives of established sociological and anthropological forms of explanation that emphasize the social and cultural construction of race. I argue that this use of genetic science in order to (...) describe and explain common-sense impressions of racial physiology and sporting ability is founded on erroneous premises of objectivity and disinterest, and inflates the analytical efficacy of scientific truth claims. I suggest that assertions of a value-free science of racial athletic ability reify race as inherited permanent biological characteristics that produce social hierarchies and are more characteristic of a longer history of `racial science'. (shrink)

BackgroundThe potential contribution of community engagement to addressing ethical challenges for international biomedical research is well described, but there is relatively little documented experience of community engagement to inform its development in practice. This paper draws on experiences around community engagement and informed consent during a genetic cohort study in Kenya to contribute to understanding the strengths and challenges of community engagement in supporting ethical research practice, focusing on issues of communication, the role of field workers in 'doing ethics' (...) on the ground and the challenges of community consultation.MethodsThe findings are based on action research methods, including analysis of community engagement documentation and the observations of the authors closely involved in their development and implementation. Qualitative and quantitative content analysis has been used for documentation of staff meetings and trainings, a meeting with 24 community leaders, and 40 large public and 70 small community group meetings. Meeting minutes from a purposive sample of six community representative groups have been analysed using a thematic framework approach.ResultsField workers described challenges around misunderstandings about research, perceived pressure for recruitment and challenges in explaining the study. During consultation, leaders expressed support for the study and screening for sickle cell disease. In community meetings, there was a common interpretation of research as medical care. Concerns centred on unfamiliar procedures. After explanations of study procedures to leaders and community members, few questions were asked about export of samples or the archiving of samples for future research.ConclusionsCommunity engagement enabled researchers to take account of staff and community opinions and issues during the study and adapt messages and methods to address emerging ethical challenges. Field workers conducting informed consent faced complex issues and their understanding, attitudes and communication skills were key influences on ethical practice. Community consultation was a challenging concept to put into practice, illustrating the complexity of assessing information needs and levels of deliberation that are appropriate to a given study. (shrink)

These provocative essays by leading philosophers of science exemplify and illuminate the contemporary uncertainty and excitement in the field. The papers are rich in new perspectives, and their far-reaching criticisms challenge arguments long prevalent in classic philosophical problems of induction, empiricism, and realism. By turns empirical or analytic, historical or programmatic, confessional or argumentative, the authors' arguments both describe and demonstrate the fact that philosophy of science is in a ferment more intense than at any time since the heyday of (...) logical positivism early in the twentieth century. -/- Contents: -/- "Thoroughly Modern Meno," Clark Glymour and Kevin Kelly "The Concept of Induction in the Light of the Interrogative Approach to Inquiry," Jaakko Hintikka "Aristotelian Natures and Modern Experimental Method," Nancy Cartwright "Genetic Inference: A Reconsideration of "David Hume's Empiricism," Barbara D. Massey and Gerald J. Massey "Philosophy and the Exact Sciences: Logical Positivism as a Case Study," Michael Friedman "Language and Interpretation: Philosophical Reflections and Empirical Inquiry," Noam Chomsky "Constructivism, Realism, and Philosophical Method," Richard Boyd "Do We Need a Hierarchical Model of Science?" Diderik Batens "Theories of Theories: A View from Cognitive Science," Richard E. Grandy "Procedural Syntax for Theory Elements," Joseph D. Sneed "Why Functionalism Didn't Work," Hilary Putnam "Physicalism," Hartry Field. (shrink)