In this article I want to ask what we should do, either collectively or individually, if we could identify by genetic and family profding the 12% of the male population likely to commit almost half the violent crime in our society. What if we could identify some individuals in that 12% not only at birth, but in utero, or before implantation? I will explain the source of these figures later; for now, I will use them only to provide a concrete (...) example of the kind of predictive claims we can expect to be made with some frequency, and some scientific credibility, over the next generation. I will adopt an outlook that one commentator has called “pragmatic optimism,” but which could also be called technological optimism - the belief that a science or technology will achieve many or most of its advertised goals. My optimism will be directed towards human behavioral genetics, the source of predictions like the one I just offered; I will assume that this controversial discipline will achieve a substantial pan of its scientific ambition to identlfy genetic differences among individuals that help predict and possibly explain future behavior, psychological health, and cognitive skill. This optimism is very limited -it concerns the scientific success of behavioral genetics, not the social value of that success. (shrink)

This essay examines the origin of genotype-environment interaction, or G×E. "Origin" and not "the origin" because the thesis is that there were actually two distinct concepts of G×E at this beginning: a biometric concept, or \[G \times E_B\], and a developmental concept, or \[G \times E_D \]. R. A. Fisher, one of the founders of population genetics and the creator of the statistical analysis of variance, introduced the biometric concept as he attempted to resolve one of the main problems in (...) the biometric tradition of biology - partitioning the relative contributions of nature and nurture responsible for variation in a population. Lancelot Hogben, an experimental embryologist and also a statistician, introduced the developmental concept as he attempted to resolve one of the main problems in the developmental tradition of biology - determining the role that developmental relationships between genotype and environment played in the generation of variation. To argue for this thesis, I outline Fisher and Hogben's separate routes to their respective concepts of G × E; then these separate interpretations of G × E are drawn on to explicate a debate between Fisher and Hogben over the importance of G × E, the first installment of a persistent controversy. Finally, Fisher's \[G \times E_B\] and Hogben's \[G \times E_D \] are traced beyond their own work into mid-2Oth century population and developmental genetics, and then into the infamous IQ Controversy of the 1970s. (shrink)

Scientific and technological advances are lending pressure to expand the scope of newborn screening. Whereas this has great potential for improving child health, it also challenges our current perception of such programmes. Standard newborn screening programmes are clearly justified by the fact that early detection and treatment of affected individuals avoids significant morbidity and mortality. However, proposals to expand the scope and complexity of such testing are not all supported by a similar level of evidence for unequivocal benefit. We argue (...) that screening for genetic susceptibility to complex disorders is inherently different from standard screening and, while of potential value, must be considered separately from conventional testing. (shrink)

The U.S. National Institutes of Health, the world's largest funder of chimpanzees used in biomedical research, announced last week that it was effectively phasing itself out of the business. Officially, it's a money-saving move, although animal advocates are taking credit for making it happen.

This book, written by four internationally renowned bioethicists and first published in 2000, was the first systematic treatment of the fundamental ethical issues underlying the application of genetic technologies to human beings. Probing the implications of the remarkable advances in genetics, the authors ask how should these affect our understanding of distributive justice, equality of opportunity, the rights and obligations as parents, the meaning of disability, and the role of the concept of human nature in ethical theory and practice. The (...) book offers a historical context to contemporary debate over the use of these technologies by examining the eugenics movement of the late nineteenth and early twentieth centuries. The questions raised in this book will be of interest to any reflective reader concerned about science and society and the rapid development of biotechnology, as well as to professionals in such areas as philosophy, bioethics, medical ethics, health management, law, and political science. (shrink)

I provide a history of research on G×E in this article, showing that there have actually been two distinct concepts of G×E since the very origins of this research. R. A. Fisher introduced what I call the biometric concept of G×E, or G×EB, while Lancelot Hogben introduced what I call the developmental concept of G×E, or G×ED. Much of the subsequent history of research on G×E has largely consisted in the separate legacies of these separate concepts, along with the (sometimes (...) acrimonious) disputes that have arisen time and again when employers of each have argued over the appropriate way to conceptualize the phenomenon. With this history in place, I then consider more recent attempts to distinguish between different concepts of G×E, paying particular attention to the commonly made distinction between “statistical interaction” and “interactionism,” and also Michael Rutter’s distinction between “statistical interaction” and “the biological concept of interaction.” I argue that the history of the separate legacies of G×EB and G×ED better supports Rutter’s analysis of the situation, and that this analysis best paves the way for an integrative relationship between the various scientists investigating the place of G×E in the etiology of complex traits. (shrink)