Exploring the interaction between technology and morality in the field of genetic susceptibility testing: A scenario study

With the rise of genomics promises and concerns have emerged about future possibilities for screening of genetic susceptibilities to common diseases in the population. In this article we start from the assumption that for a better understanding of the future ethical implications of genetic susceptibility screening we need to address the interaction between technological and moral developments in society. We introduce a techno-ethical scenario approach and show how it may help us to explore more systematically potential future interactions between technological and moral developments in the field of genetic susceptibility screening. The first step is a historical account of population screening, focussing on the ways in which emerging practices of (genetic) screening have been mediated by an evolving moral landscape in our society. Based on this history we present a techno-ethical scenario of the future, showing how technological developments may shape conditions in our society in which the introduction and use of genetic susceptibility tests more and more become a matter of private decisions, reinforcing claims to individual self-determination as a deeply rooted value in the moral landscape of our society.     

Sex-hormone genes and gender difference in ultimatum game: Experimental evidence from China and Israel

Combining the methodologies of experimental economics and molecular genetics, we report a genetic association between sex-hormone genes and ultimatum game (UG) behavior in a discovery sample from China and a replication sample from Israel. The androgen receptor gene is found to be associated with UG responder behavior for male but not female subjects in the Chinese population, but this finding is not replicated in the Israeli sample. The estrogen receptor β gene is significantly associated with female UG responder behavior but not for male subjects in the Chinese sample. This finding is marginally replicated in the Israeli sample. Overall, our findings provide suggestive evidence on a gender specific relationship between sex-hormone genes and UG responder behavior, and can contribute to a deeper understanding of gender differences in fairness preference at the level of molecular genetics.     

Genetics, family structure, and economic growth

Recent biomedical research shows that roughly three-quarters of cognitive abilities are attributable to genetics and family environment. This paper presents a growth model that characterizes the role of the intergenerational transmission of genes and the effect of family environment on growth trajectories. If the average human or physical capital stocks are sufficiently low, the model shows that the economy will be caught in a poverty trap. Conversely, countries with more resources will converge to a bala nced growth path where the average rate of genetic transmission of skills from parents to children determines the long-run rate of output growth. Increased genetic diversity (or income inequality) is shown to raise the fertility rate and reduce output growth in the transitional dynamics. Thus, nature and nurture are able to explain a variety of countries' growth experiences.     

A Review of Statistical Methods for Genome Mapping

Framework maps of the human genome are an important staging post in the on-going effort to sequence the entire genome. The existence of high quality maps is also a prerequistite for studies attempting to determine the location of genes involved in common diseases. The basic experimental approaches to constructing both genetic and physical maps are briefly described as well as their respective uses. A variety of statistical approaches to map construction are outlined including parsimony, maximum likelihood and Bayesian methodologies. The mostly widely used of these, the method of maximum likelihood, is discussed in detail, particularly in the context of physical mapping using radiation hybrids. Finally, current statistical issues and problems in the field of genome mapping are described.     

Advances in evolution and genetics: Implications for technology strategy

Genetic and evolutionary principles are of great importance to technology strategists, both directly (as in the forecasting of genetic engineering technologies) and as a source of metaphor and perspective on socio-technical change. Recent rapid progress in the molecular sciences have revealed new genetic mechanisms of evolution, and introduced new controversies of interpretation. How do these recent developments affect technology forecasting and our view of technological evolution? This paper provides a quick primer for TFSC readers on several new developments in evolution and genetics, comments upon a number of common misconceptions and pitfalls in evolutionary thinking, and critically describes some controversies and open questions, introducing key readings and sources. It relates genetic and evolutionary knowledge, analogies and metaphors to areas of interest to researchers in technology forecasting and assessment, noting possible future directions. The paper concludes with an overview of the other papers in this special section.     

Nature or nurture: What determines investor behavior?

Using data on identical and fraternal twins’ complete financial portfolios, we decompose the cross-sectional variation in investor behavior. We find that a genetic factor explains about one-third of the variance in stock market participation and asset allocation. Family environment has an effect on the behavior of young individuals, but this effect is not long-lasting and disappears as an individual gains experience. Frequent contact among twins results in similar investment behavior beyond a genetic factor. Twins who grew up in different environments still display similar investment behavior. Our interpretation of a genetic component of the decision to invest in the stock market is that there are innate differences in factors affecting effective stock market participation costs. We attribute the genetic component of asset allocation—the relative amount invested in equities and the portfolio volatility—to genetic variation in risk preferences.     

The value of genetic information to livestock buyers: a combined revealed,stated preference approach

DNA profile information has begun appearing in purebred bull auction catalogs; however, the value of this information is as of yet unknown. This study uses data from actual bull sales at a test station and combines it with stated‐preference survey data to determine the value of the DNA profile information. Consistent with previous research, we find that expected progeny differences (EPDs), test performance, and ultrasound information significantly influence bull‐buyers’ willingness‐to‐pay. The newer DNA profile information, however, was unrelated to buyers’ preferences. Methodologically, we find statistically significant differences (but highly correlated willingness‐to‐pay values) across the stated and revealed preference data sources.     

Towards a concept of genetic risk tolerance: a risk analysis perspective

The starting point of the MindTheRisk project has been to raise socio-political questions about whether lay public’s understanding is satisfied about the genetic information they receive, and to what extent regulators do take this aspect on board when they decide to allow or restrict genetic testing or to develop communications about genetic testing. This article draws on the concepts that have emerged among the risk research community to tackle “risk tolerance’’. It explores the application of those concepts to the sharing and regulating of genetic risk information. We start with a conceptualisation of risk acceptability/tolerability in the genetic context, before turning to concrete hurdles that need to be overcome and questions that need to be answered. Finally, we suggest some direction for policy. The paper is based on an in-depth review supplemented by pilot interviews conducted with the European Medicines Agency, National regulatory agencies, academic and members of a patient organisation, all directly involved in policy.