Abstract.Since the gene splicing debates of the 1980s, the public has been exposed to an ongoing sequence of genetic and reproductive technologies. Many issue areas have outcomes that lose track of people's inner values or engender opposing religious viewpoints defying final resolution. This essay relocates the discussion of what is an acceptable application from the individual to the societal level, examining technologies that stand to address large numbers of people and thus call for policy resolution, rather than individual fiat, (...) in their application. A major source of guidance is the “Genetic Frontiers” series of professional dialogues and conferences held by the National Conference for Community and Justice from 2002 to 2004. Genetic testing, human gene therapy, genetic engineering of plants and animals, and stem cell technology are examined. While differences in perspective on the beginning of life persist, a stepwise approach to the examination of genetic testing reveals areas of general agreement. Stewardship of life, human co‐creativity with the divine, and social justice help define the bounds of application of genetic engineering and therapy; compassionate care plays a major role in establishing stem cell policy. Active, sustained dialogue is a useful resource for enabling sharing of religious values and crystallization of policies. (shrink)

The estrangement between genetic scientists and theologians originating in the 1960s is reflected in novel combinations of human thought (subject) and genes (investigational object), paralleling each other through the universal process known in chaos theory as self-similarity. The clash and recombination of genes and knowledge captures what Philip Hefner refers to as irony, one of four voices he suggests transmit the knowledge and arguments of the religion-and-science debate. When viewed along a tangent connecting irony to leadership, journal dissemination, and (...) the activities of the "public intellectual" and the public at large, the sequence of voices is shown to resemble the passage of genetic information from DNA to mRNA, tRNA, and protein, and from cell nucleus to surrounding environment. In this light, Hefner's inquiry into the voices of Zygon is bound up with the very subject matter Zygon covers. (shrink)

BackgroundClinical ethical practice (CEP) is required for healthcare workers (HCWs) to improve health-care delivery. However, there are gaps between accepted ethical standards and CEP in Ethiopia. There have been limited studies conducted on CEP in the country. Therefore, this study aimed to determine the magnitude and associated factors of CEP among healthcare workers in healthcare facilities in Ethiopia.MethodFrom February to April 2021, a mixed-method study was conducted in 24 health facilities, combining quantitative and qualitative methods. Quantitative (survey questionnaire) and qualitative (...) (semi-structured interviews) data were collected. For quantitative and qualitative data analysis, Stata version 14 and Atlas.ti version 7 were utilized. Multiple logistic regression and thematic analysis for quantative and qualitative respectively used.ResultsFrom a total of 432 study participants, 407 HCWs were involved in the quantitative analysis, 36 participants were involved in five focus group discussions (FGDs), and eleven key informant interviews (KIIs) were involved in the qualitative analysis. The score of good CEP was 32.68%. Similarly, the scores of good knowledge and attitude were 33.50% and 25.31%, respectively. In the multiple logistic regression models, satisfaction with the current profession, availability of functional CECs, compassionate leaders, previously thought clinical ethics in pre-service education and good attitude were significant factors associated with CEP. Among these significant factors, knowledge, compassionate leaders, poor infrastructure, a conducive environment and positive attitudes were also determinants of CEP according to qualitative findings.ConclusionsThe CEP in health care services in Ethiopia is low. Satisfaction with the current profession, functional CECs, positive attitude, compassionate leaders and previously thought clinical ethics were significant factors associated with CEP. The Ministry of Health (MoH) should integrate interventions by considering CECs, compassionate leadership, and positive attitudes and enhance the knowledge of health professionals. Additionally, digitalization, intersectoral collaboration and institutionalization are important for promoting CEP. (shrink)

This article analyzes the main reasons offered by the literature in relation to the question of whether pre-implantation genetic diagnosis and selection should be allowed in the context of assisted reproduction techniques to avoid the birth of children with disabilities. The bioethical literature faces a challenge from the disability discourse. When the oppressive social dimension of disability is taken into account, it results in a series of questions that could challenge the most settled conclusions of the bioethical debate. However, (...) the social model has not been without criticism and one of them, the underestimation of the importance of biological traits origin against a disability of social origin, resonates particularly in the debate on preimplantation genetic selection. (shrink)

Linkage (or genetic) maps are graphs, which are intended to represent the linear ordering of genes on the chromosomes. They are constructed on the basis of statistical data concerning the transmission of genes. The invention of this technique in 1913 was driven by Morgan's group's adoption of a set of hypotheses concerning the physical mechanism of heredity. These hypotheses were themselves grounded in Morgan's defense of the chromosome theory of heredity, according to which chromosomes are the physical basis of (...) genes. In this paper, I analyze the 1919 debate between William Castle and Morgan's group, about the construction of genetic maps. The official issue of the debate concerns the arrangement of genes on chromosomes. However, the disputants tend to carry out the discussions about how one should model the data in order to draw predictions concerning the transmission of genes; the debate does not bear on the data themselves, nor does it focus on the hypotheses explaining these data. The main criteria that are appealed to by the protagonists are simplicity and predictive efficacy. However, I show that both parties' assessments of the simplicity and predictive efficacy of different ways of modeling the data themselves depend on background theoretical positions. I aim at clarifying how preference for a given model and theoretical commitments articulate. (shrink)

While prior models of the evolution of altruism have assumed that organisms reproduce asexually, this paper presents a model of the evolution of altruism for sexually reproducing organisms using Hardy–Weinberg dynamics. In this model, the presence of reciprocal altruists allows the population to evolve to a stable polymorphic population where the majority of organisms are altruistic. Further, adding stochasticity leads to even larger numbers of altruists, while adding stochasticity to an analogous asexual model leads to more selfish organisms. The contrast (...) between these outcomes demonstrates why it may be important to pay attention to the underlying genetics of a population. (shrink)

Genetic knowledge is a civil right and a civil obligation. New genetic knowledge in individual health risk prediction and prevention and new pharmacogenetic opportunities for developing more efficacious individualized drugs broaden human and civil rights for better health and health care. Public health policy has yet to develop and provide programs in genetic information and consultation together with other health risk information and health literacy education. Data availability and genetic knowledge will make citizens more competent partners (...) in health risk management. As with all information, abuse and manipulation of genetic information cannot be excluded; but health education as an essential part of public health services will empower citizens to better care for their own and their families health. Existing cultural and ethical principles, laws and regulations need to be reviewed and modified in order to prevent and fight illegal or immoral use of genetic information. The promotion of genetic knowledge allows for a new model of social contract as health care contract between citizens, health care experts, and society. (shrink)

In order to obtain a new structure of beam flexure hinge with good performance, the flexure hinge based on the X-lattice structure is researched in this paper. The truss model in the finite element method is used to model the 6-DOF compliance of the flexure hinge based on the X-lattice structure. The influence of structural parameters on the compliance and compliance ratio of flexure hinges is analyzed based on this model, and the performance is compared with the traditional beam flexure (...) hinge of the same size. In order to design a flexure hinge based on the X-lattice structure with good comprehensive performance, this paper proposes an intelligent structure optimization method based on a genetic algorithm. The feasibility of the optimization algorithm is verified by an example. (shrink)

In this rejoinder to the three preceding comments, I provide some additional philosophical warrant for the biomedical sciences' focus on model organisms. I then relate the inquiries on model systems to the concept of 'deep homology', and indicate that the issues that appear to divide my commentators and myself are in part empirical ones. I cite recent work on model organisms, and especially C. elegans that supports my views. Finally, I briefly readdress some of the issues raised by Developmental Systems (...) Theory. (shrink)

Taking as starting point Kuhn’s analysis of science textbooks and its application to Sinnott and Dunn’s (1925), it will be discussed the problem of the existence of laws in biology. In particular, it will be showed, in accordance with the proposals of Darden (1991) and Schaffner (1980, 1986, 1993), the relevance of the exemplars, diagrammatically or graphically represented, in the way in which is carried out the teaching and learning process of classical genetics, inasmuch as the information contained in them, (...) indispensable for the right development of that process, exceeds the information contained in the “laws” linguistically articulated and presented in the textbooks. However, it will be maintained that the information is implicit in the law that according to the structuralist concept of fundamental law and the reconstruction of genetics presented by Balzer & Dawe (1990), and later developed by Balzer & Lorenzano (1997) and Lorenzano (1995, 2000, 2002a) could be considered the fundamental law of classical genetics,the law of matching, clearly identified in this paper. (shrink)

There has always been great interest in animal models of human genetic disease, and mice provide the largest number of examples. A mutation in the homologous gene in mice does not always lead to the same phenotype as is found in man, however. Recent studies made it apparent that one mutation can have markedly different phenotypes when placed on different genetic backgrounds. This variation is due to different alleles at modifying loci in various inbred strains. Thus, if one (...) wishes to obtain the optimal mouse model for a human disease, one needs to choose the correct genetic background as well as the correct mutation. (shrink)

The author argues that to think theologically about genetic enhancement is to think prayerfully about how to locate all one’s uses of medicine, recognizing that they must all be lodged in the Christian struggle to holiness. He is critical of the essays in this issue because they often appear to take on a scholastic life of their own outside of the all-consuming struggle to salvation of Christians across the millennia.

Shane Harwood and Richard Scheines. Genetic Algorithm Search Over Causal Models.

Attention deficit hyperactivity disorder affects children, adolescents, and adults. Research suggests ADHD has a heritable component. The present article presents and assesses several genetic animal models of ADHD. The paper reviews the literature involving the following genetic animal models of ADHD: the spontaneously hypertensive rat ; the Wistar–Kyoto hyperactive rat; the coloboma mouse; the fast kindling rat; the acallosal mouse; the whirler mouse; and the genetically hypertensive rat. Research investigating animal models of ADHD has concentrated on hyperactivity, but (...) impulsiveness, learning, and attention are also being examined. The use of animal models allows for the control of possibly confounding variables and has proven very useful in the screening of new therapies. These models have not been shown to be the equivalent of the human disorder, and no model encompasses all of the symptoms of the human disorder, but they are useful nevertheless. (shrink)

The life cycle of Dictyostelium discoideum offers a unique opportunity to study signal transduction in eukaryotic cells at both the unicellular and multicellular levels of organization. Adding to the already extensive knowledge of the unicellular stages, classical and molecular genetics have begun to unravel transduction of signals controlling morphogenesis and behaviour (phototaxis and thermotaxis) in the multicellular ‘slug’ stage of the life cycle. Distributed over all seven genetic linkage groups are probably about 20, but possibly as many as 55, (...) genes of importance for slug behaviour. The encoded proteins appear from pharmacological studies and mutant phenotypes to govern transduction pathways involving the intracellular second messengers cyclic AMP, cyclic GMP, IP3 and Ca2+. Pathways from the photo‐ and thermoreceptors converge first with each other and thence, at the level of the second messengers, with those from extracellular tip activation (cyclic AMP) and inhibition (Slug Turning Factor and/or ammonia and/or adenosine) signals that control slug movement and morphogenesis. (shrink)

In 1966, Richard Levins argued that there are different strategies in model building in population biology. In this paper, I reply to Orzack and Sober’s (1993) critiques of Levins, and argue that his views on modeling strategies apply also in the context of evolutionary genetics. In particular, I argue that there are different ways in which models are used to ask and answer questions about the dynamics of evolutionary change, prospectively and retrospectively, in classical versus molecular evolutionary genetics. Further, I (...) argue that robustness analysis is a tool for, if not confirmation, then something near enough, in this discipline. (shrink)

Three alternative models of the relationship between genetic counselors and clients are typified by the paternalistic professional, the expert consultant, and the autonomous client. Kant's principle of autonomy stipulates that the agent with rational will is to be treated as an end in itself rather than merely as a means to an end. Mutual respect between two such autonomous agents, in our case a genetic counselor and a client, will dictate elements of the clinical encounter.

There are currently three major theories on the origin and evolution of the genetic code: the stereochemical theory, the coevolution theory, and the error-minimization theory. The first two assume that the genetic code originated respectively from chemical affinities and from metabolic relationships between codons and amino acids. The error-minimization theory maintains that in primitive systems the apparatus of protein synthesis was extremely prone to errors, and postulates that the genetic code evolved in order to minimize the deleterious (...) effects of the translation errors. This article describes a fourth theory which starts from the hypothesis that the ancestral genetic code was ambiguous and proposes that its evolution took place with a mechanism that systematically reduced its ambiguity and eventually removed it altogether. This proposal is distinct from the stereochemical and the coevolution theories because they do not contemplate any ambiguity in the genetic code, and it is distinct from the error-minimization theory because ambiguity-reduction is fundamentally different from error-minimization. The concept of ambiguity-reduction has been repeatedly mentioned in the scientific literature, but so far it has remained only an abstract possibility because no model has been proposed for its mechanism. Such a model is described in the present article and may be the first step in a new approach to the study of the evolution of the genetic code. (shrink)

: This paper explores the calibration of laboratory models in population genetics as an experimental strategy for justifying experimental results and claims based upon them following Franklin (1986, 1990) and Rudge (1996, 1998). The analysis provided undermines Coyne et al.'s (1997) critique of Wade and Goodnight's (1991) experimental study of Wright's (1931, 1932) Shifting Balance Theory. The essay concludes by further demonstrating how this analysis bears on Diamond's (1986) claims regarding the weakness of laboratory experiments as evidence, and further how (...) the calibration strategy fits within Lloyd's (1987, 1988) account of the confirmation of ecological and evolutionary models. (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)

Genetic predispositions often concern not only individual persons, but also other family members. Advances in the development of genetic tests lead to a growing number of genetic diagnoses in medical practice and to an increasing importance of genetic counseling. In the present article, a number of ethical foundations and preconditions for this issue are discussed. Four different models for the handling of genetic information are presented and analyzed including a discussion of practical implications. The different (...) models’ ranges of content reach from a strictly autonomous position over self-governed arrangements in the practice of genetic counseling up to the involvement of official bodies and committees. The different models show a number of elements which seem to be very useful for the handling of genetic data in families from an ethical perspective. In contrast, the limitations of the standard medical attempt regarding confidentiality and personal autonomy in the context of genetic information in the family are described. Finally, recommendations for further ethical research and the development of genetic counseling in families are given. (shrink)

A promising recent development in molecular biology involves viewing the genome as a miniecosystem, where genetic elements are compared to organisms and the surrounding cellular and genomic structures are regarded as the local environment. Here we critically evaluate the prospects of Ecological Neutral Theory, a popular model in ecology, as it applies at the genomic level. This assessment requires an overview of the controversy surrounding neutral models in community ecology. In particular, we discuss the limitations of using ENT both (...) as an explanation of community dynamics and as a null hypothesis. We then analyze a case study in which ENT has been applied to genomic data. Our central finding is that genetic elements do not conform to the requirements of ENT once its assumptions and limitations are made explicit. We further compare this genome-level application of ENT to two other, more familiar approaches in genomics that rely on neutral mechanisms: Kimura’s Molecular Neutral Theory and Lynch’s Mutational Hazard Model. Interestingly, this comparison reveals that there are two distinct concepts of neutrality associated with these models which we dub ‘fitness-neutrality’ and ‘competitive neutrality’. This distinction helps to clarify the various roles for neutral models in genomics, for example, in explaining the evolution of genome size. (shrink)

This paper examines processes of translation through which molecular genetic technologies and practices are incorporated into environmental health research and regulation. Specifically, it considers how scientists, risk assessors, and regulators have used genetically modified mouse models to translate across scientific disciplines, articulate emergent molecular forms, standards, and practices with the extant? gold standard,? and establish roles for molecular knowledge in risk assessment and regulation. Noting variation both within and between regulatory agencies in responses to data from these models, the (...) article describes also the role of public-private networks and their effects on professional and institutional imperatives which shape regulators? responses to the potential applications of these models. The conclusions address the importance of translation for understanding the wider implications of the molecularization of environmental health science. (shrink)

This paper spells out and discusses four assumptions of the deficit model type of thinking. The assumptions are: First, the public is ignorant of science. Second, the public has negative attitudes towards (specific instances of) science and technology. Third, ignorance is at the root of these negative attitudes. Fourth, the public’s knowledge deficit can be remedied by one-way science communication from scientists to citizens. It is argued that there is nothing wrong with ignorance-based explanations per se. Ignorance accounts at least (...) partially for many cases of opposition to specific instances of science and technology. Furthermore, more attention needs to be paid to the issue of relevance. In regard to the evaluation of a scientific experiment, a technology, or a product, the question is not only who knows best?, but also what knowledge is relevant and to what extent?. Examples are drawn primarily from the debate on genetic engineering in agriculture. (shrink)

This survey was conducted in 2017 to investigate factors influencing social risk perception of biotechnologists and plant breeders in training toward GM food based on a conceptual model. A random sample of 210 biotechnologists and plant breeders in training was studied. Confirmatory factor analysis and the reliability tests have been used to verify the uni-dimensionality of the measurement scale, SEM also was carried out to determine the most parsimonious models with the best fit for social risk perception of GM foods (...) and path analysis was conducted to understand the exogenous variables introduced in the research model. The findings revealed that the engineers in training had moderate social risk perception regarding GM foods. Moreover, the results of structural equation modeling showed the capability of the model in predicting the social risk perceptions of engineers in training. The psychological attributes of risks, social benefit perception, attitude toward using technology, level of religiosity, and moral and ethical beliefs emerged as the most powerful predictors of the social risk perception. The social benefit perception and attitude toward using technology also mediated the effects of psychological attributes of risks, level of religiosity, and moral and ethical beliefs. The social benefit perception also had an indirect influence on the engineers in training’s social risk perception of GM foods. Finally, we recommend the application of the model developed by this study for better understanding of social risk perception of stakeholders to have a more informed view of the development and promotion of GM foods. (shrink)

The successes of the Human Genome Project have ushered in a new era of genomic science. To effectively translate these discoveries, it will be critical to improve the communication of genetic risk within families. This will require a systematic approach that accounts for the nature of family relationships and sociocultural beliefs. This paper proposes the application of the Family Systems Illness Model, used in the setting of cancer care, to the evolving field of genomics.

The potential of the soil to hold plant nutrients is governed by the cation-exchange capacity of any soil. Estimating soil CEC aids in conventional soil management practices to replenish the soil solution that supports plant growth. In this study, a multiple model integration scheme supervised with a hybrid genetic algorithm-neural network was developed and employed to predict the accuracy of soil CEC in Tabriz plain, an arid region of Iran. The standalone models and extreme learning machine ) were implemented (...) for incorporation into the MM-GANN. In addition, it was tested to enhance the prediction accuracy of the standalone models. The soil parameters such as clay, silt, pH, carbonate calcium equivalent, and soil organic matter were used as model inputs to predict soil CEC. With the use of several evaluation criteria, the results showed that the MM-GANN model involving the predictions of ELM and ANN models calibrated by considering all the soil parameters as inputs provided superior soil CEC estimates with a Nash Sutcliffe Efficiency = 0.87, Root Mean Square Error = 2.885, Mean Absolute Error = 2.249, Mean Absolute Percentage Error = 12.072, and coefficient of determination = 0.884. The proposed MM-GANN model is a reliable intelligence-based approach for the assessment of soil quality parameters intended for sustainability and management prospects. (shrink)

For the application of the standard genetic algorithm in illustration art design, there are still problems such as low search efficiency and high complexity. This paper proposes an illustration art design model based on operator and clustering optimization genetic algorithm. First, during the operation of the genetic algorithm, the values of the crossover probability and the mutation probability are dynamically adjusted according to the characteristics of the population to improve the search efficiency of the algorithm, then the (...) k-medoids algorithm is introduced to optimize the clustering of the genetic algorithm, and a cost function is used to carry out and evaluate the quality of clustering to optimize the complexity of the original algorithm. In addition, a multiobjective optimization genetic algorithm with complex constraints based on group classification is proposed. This algorithm focuses on the problem of group diversity and uses k-means cluster analysis operation to solve the problem of group diversity. The algorithm divides the entire group into four subgroups and assigns appropriate fitness values to reflect the optimal preservation strategy. A large number of computer simulation calculations show that the algorithm can obtain a widely distributed and uniform Pareto optimal solution, the evolution speed is fast, usually only a few iterations can achieve a good optimization effect, and finally the improved genetic algorithm is used to design the random illustration art. The example simulation shows that the improved algorithm proposed in this paper can achieve higher artistic and innovative illustration art design. (shrink)

Understanding in vivo regeneration of complex structures offers a fascinating perspective for translation into medical applications. Unfortunately, mammals in general lack large‐scale regenerative capacity, whereas planarians, newts or Hydra can regenerate complete body parts. Such organisms are, however, poorly annotated because of the lack of sequence information. This leads to limited access for molecular biological investigations. In the last decade, high throughput technologies and new methods enabling the effective generation of transgenic animals have rapidly evolved. These developments have allowed the (...) extensive use of niche model organisms as part of a trend towards the accessibility of a greater panel of model species for scientific research. The case study that follows provides an insight into the impact of high throughput techniques on the landscape of models of regeneration. The cases presented here give evidence of alternative stem cell maintenance pathways, the identification of new protein families and new stem cell markers. (shrink)

This chapter contains section titled: Historical Overview Population Genetics Models The Tautology Problem The Wright‐Fisher Debate Classical/Balance Hypothesis Debate The Neutralism Controversy Saltationism vs. Gradualism Conclusions Acknowledgments References Further Reading.

Many scientific models in biology are how-possibly models. These models depict things as they could be, but do not necessarily capture actual states of affairs in the biological world. In contemporary philosophy of science, it is customary to treat how-possibly models as second-rate theoretical tools. Although possibly important in the early stages of theorizing, they do not constitute the main aim of modelling, namely, to discover the actual mechanism responsible for the phenomenon under study. In the paper it is argued (...) that this prevailing picture does not do justice to the synthetic strategy that is commonly used in biological engineering. In synthetic biology, how-possibly models are not simply speculations or eliminable scaffolds towards a single how-actually model, but indispensable design hypotheses for a field whose ultimate goal is to build novel biological systems. The paper explicates this by providing an example from the study of alternative genetic systems by synthetic biologist Steven Benner and his group. The case will also highlight how the method of synthesis, even when it fails, provides an effective way to limit the space of possible models for biological systems. (shrink)

Given that natural selection is so powerful at optimizing complex adaptations, why does it seem unable to eliminate genes (susceptibility alleles) that predispose to common, harmful, heritable mental disorders, such as schizophrenia or bipolar disorder? We assess three leading explanations for this apparent paradox from evolutionary genetic theory: (1) ancestral neutrality (susceptibility alleles were not harmful among ancestors), (2) balancing selection (susceptibility alleles sometimes increased fitness), and (3) polygenic mutation-selection balance (mental disorders reflect the inevitable mutational load on the (...) thousands of genes underlying human behavior). The first two explanations are commonly assumed in psychiatric genetics and Darwinian psychiatry, while mutation-selection has often been discounted. All three models can explain persistent genetic variance in some traits under some conditions, but the first two have serious problems in explaining human mental disorders. Ancestral neutrality fails to explain low mental disorder frequencies and requires implausibly small selection coefficients against mental disorders given the data on the reproductive costs and impairment of mental disorders. Balancing selection (including spatio-temporal variation in selection, heterozygote advantage, antagonistic pleiotropy, and frequency-dependent selection) tends to favor environmentally contingent adaptations (which would show no heritability) or high-frequency alleles (which psychiatric genetics would have already found). Only polygenic mutation-selection balance seems consistent with the data on mental disorder prevalence rates, fitness costs, the likely rarity of susceptibility alleles, and the increased risks of mental disorders with brain trauma, inbreeding, and paternal age. This evolutionary genetic framework for mental disorders has wide-ranging implications for psychology, psychiatry, behavior genetics, molecular genetics, and evolutionary approaches to studying human behavior. (Published Online November 9 2006) Key Words: adaptation; behavior genetics; Darwinian psychiatry; evolution; evolutionary genetics; evolutionary psychology; mental disorders; mutation-selection balance; psychiatric genetics; quantitative trait loci (QTL). (shrink)

Why do humans menstruate while most mammals do not? Here, we present our answer to this long‐debated question, arguing that (i) menstruation occurs as a mechanistic consequence of hormone‐induced differentiation of the endometrium (referred to as spontaneous decidualization, or SD); (ii) SD evolved because of maternal–fetal conflict; and (iii) SD evolved by genetic assimilation of the decidualization reaction, which is induced by the fetus in non‐menstruating species. The idea that menstruation occurs as a consequence of SD has been proposed (...) in the past, but here we present a novel hypothesis on how SD evolved. We argue that decidualization became genetically stabilized in menstruating lineages, allowing females to prepare for pregnancy without any signal from the fetus. We present three models for the evolution of SD by genetic assimilation, based on recent advances in our understanding of the mechanisms of endometrial differentiation and implantation. Testing these models will ultimately shed light on the evolutionary significance of menstruation, as well as on the etiology of human reproductive disorders like endometriosis and recurrent pregnancy loss. (shrink)

For the average person, genetic testing has two very different faces. The rise of genetic testing is often promoted as the democratization of genetics by enabling individuals to gain insights into their unique makeup. At the same time, many have raised concerns that genetic testing and sequencing reveal intensely personal and private information. As these technologies become increasingly available as consumer products, the ethical, legal, and regulatory challenges presented by genomics are ever looming. Assembling multidisciplinary experts, this (...) volume evaluates the different models used to deliver consumer genetics and considers a number of key questions: How should we mediate privacy and other ethical concerns around genetic databases? Does aggregating data from genetic testing turn people into products by commercializing their data? How might this data reduce or exacerbate existing healthcare disparities? Contributing authors also provide guidance on protecting consumer privacy and safety while promoting innovation. (shrink)