Results for 'Gene environment interaction'

998 found
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  1.  36
    Gene-environment interaction: why genetic enhancement might never be distributed fairly.Sinead Prince - 2024 - Journal of Medical Ethics 50 (4):272-277.
    Ethical debates around genetic enhancement tend to include an argument that the technology will eventually be fairly accessible once available. That we can fairly distribute genetic enhancement has become a moral defence of genetic enhancement. Two distribution solutions are argued for, the first being equal distribution. Equality of access is generally believed to be the fairest and most just method of distribution. Second, equitable distribution: providing genetic enhancements to reduce social inequalities. In this paper, I make two claims. I first (...)
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  2.  29
    Gene × Environment Interaction in Developmental Disorders: Where Do We Stand and What’s Next?Gianluca Esposito, Atiqah Azhari & Jessica L. Borelli - 2018 - Frontiers in Psychology 9:394502.
    Although the field of psychiatry has witnessed the proliferation of studies on Gene x Environment (GxE) interactions, still limited is the knowledge we possess of GxE interactions regarding developmental disorders. In this perspective paper, we discuss why GxE interaction studies are needed to broaden our knowledge of developmental disorders. We also discuss the different roles of hazardous versus self-generated environmental factors and how these types of factors may differentially engage with an individual’s genetic background in predicting a (...)
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  3.  73
    The Impact of GeneEnvironment Interaction and Correlation on the Interpretation of Heritability.Omri Tal - 2011 - Acta Biotheoretica 60 (3):225-237.
    The presence of geneenvironment statistical interaction and correlation in biological development has led both practitioners and philosophers of science to question the legitimacy of heritability estimates. The paper offers a novel approach to assess the impact of GxE and rGE on the way genetic and environmental causation can be partitioned. A probabilistic framework is developed, based on a quantitative genetic model that incorporates GxE and rGE, offering a rigorous way of interpreting heritability estimates. Specifically, given an estimate (...)
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  4.  10
    Accounting for Complexity: Geneenvironment Interaction Research and the Moral Economy of Quantification.Janet K. Shim, Robert A. Hiatt, Sandra Soo-Jin Lee, Katherine Weatherford Darling & Sara L. Ackerman - 2016 - Science, Technology, and Human Values 41 (2):194-218.
    Scientists now agree that common diseases arise through interactions of genetic and environmental factors, but there is less agreement about how scientific research should account for these interactions. This paper examines the politics of quantification in geneenvironment interaction research. Drawing on interviews and observations with GEI researchers who study common, complex diseases, we describe quantification as an unfolding moral economy of science, in which researchers collectively enact competing “virtues.” Dominant virtues include molecular precision, in which behavioral and (...)
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  5.  34
    Biometric and developmental Gene-environment interaction: Looking back, moving forward.James Tabery - unknown
    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 (...)
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  6.  17
    Who do gene-environment interactions appear more often in laboratory animal studies than in human behavioral genetic research?Norman D. Henderson - 1990 - Behavioral and Brain Sciences 13 (1):136-137.
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  7.  9
    Evaluation of geneenvironment interaction requires more precise description of both environment and behavior.Lawrence V. Harper - 1987 - Behavioral and Brain Sciences 10 (1):24-25.
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  8.  91
    From a Genetic Predisposition to an Interactive Predisposition: Rethinking the Ethical Implications of Screening for Gene-Environment Interactions.James Tabery - 2009 - Journal of Medicine and Philosophy 34 (1):27-48.
    In a widely acclaimed study from 2002, researchers found a case of gene-environment interaction for a gene controlling neuroenzymatic activity (low vs. high), exposure to childhood maltreatment, and antisocial personality disorder (ASPD). Cases of gene-environment interaction are generally characterized as evincing a genetic predisposition; for example, individuals with low neuroenzymatic activity are generally characterized as having a genetic predisposition to ASPD. I first argue that the concept of a genetic predisposition fundamentally misconstrues these (...)
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  9.  2
    Extensions of the causal framework to Mendelian randomisation and geneenvironment interaction.Claire M. A. Haworth & Robyn E. Wootton - 2023 - Behavioral and Brain Sciences 46:e192.
    In our commentary we ask whether we should ultimately endeavour to find the deep causes of behaviours? Then we discuss two extensions of the proposed framework: (1) Mendelian randomisation and (2) hypothesis-free geneenvironment interaction (leveraging heterogeneity in genetic associations). These complementary methods help move us towards second-generation causal knowledge, ultimately understanding mechanistic pathways and identifying more effective intervention targets.
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  10.  52
    Understanding risk for psychopathology through imaging geneenvironment interactions.Luke W. Hyde, Ryan Bogdan & Ahmad R. Hariri - 2011 - Trends in Cognitive Sciences 15 (9):417-427.
  11.  32
    Understanding risk for psychopathology through imaging gene-environment interactions.Ahmad R. Hariri Luke W. Hyde, Ryan Bogdan - 2011 - Trends in Cognitive Sciences 15 (9):417.
  12.  23
    Gene and environment interactions in autism risk: Reflections on the carnitine deficiency hypothesis by Beaudet.Keith Fluegge - 2017 - Bioessays 39 (10):1700127.
  13.  21
    The E(NK) model: Extending the NK model to incorporate gene‐by‐environment interactions and epistasis for diploid genomes.Mark Cooper & Dean W. Podlich - 2002 - Complexity 7 (6):31-47.
  14.  25
    Of genes, environment, and destiny.Simona Cabib & Stefano Puglisi-Allegra - 1999 - Behavioral and Brain Sciences 22 (3):519-520.
    The target article approaches individual differences in terms of phenotypic differences developing through the interaction between a specific genetic make up and environmental variables. This interaction is proposed to be cooperative and oriented toward a progressive stabilisation of the trait. However, experimental data from animal studies indicate that environmental pressure promotes dramatic changes in phenotypic expression in mature organisms. Indeed, environmental constraint not only promotes the phenotypic expression of facilitated VTA-NAS DA transmission in genotype-resistant individuals; it also inhibits (...)
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  15.  43
    Insensitivity of the analysis of variance to heredity-environment interaction.Douglas Wahlsten - 1990 - Behavioral and Brain Sciences 13 (1):109-120.
  16.  22
    The interaction of child abuse and rs1360780 of the FKBP5 gene is associated with amygdala resting-state functional connectivity in young adults.Christiane Wesarg, Ilya M. Veer, Nicole Y. L. Oei, Laura S. Daedelow, Tristram A. Lett, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Rüdiger Brühl, Jean-Luc Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Juliane H. Fröhner, Michael N. Smolka, Robert Whelan, Gunter Schumann, Andreas Heinz & Henrik Walter - 2021 - Human Brain Mapping 42 (10):3269-3281.
    Extensive research has demonstrated that rs1360780, a common single nucleotide polymorphism within the FKBP5 gene, interacts with early-life stress in predicting psychopathology. Previous results suggest that carriers of the TT genotype of rs1360780 who were exposed to child abuse show differences in structure and functional activation of emotion-processing brain areas belonging to the salience network. Extending these findings on intermediate phenotypes of psychopathology, we examined if the interaction between rs1360780 and child abuse predicts resting-state functional connectivity (rsFC) between (...)
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  17.  19
    Gene by Environment Research to Prevent Externalizing Problem Behavior: Ethical Questions Raised from a Public Healthcare Perspective.Rabia R. Chhangur, Joyce Weeland, Walter Matthys & Geertjan Overbeek - 2015 - Public Health Ethics 8 (3):295-304.
    The main public health advantages of examining gene by environment interactions in externalizing behavior lie in the realm of personalized interventions. Nevertheless, the incorporation of genetic data in randomized controlled trials is fraught with difficulties and raises ethical questions. This paper has been written from the perspective of developmental psychologists who, as researchers, see themselves confronted with important and in part new kinds of ethical questions arising from G × E research in social sciences. The aim is to (...)
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  18.  47
    Gene-independent heritability of behavioural traits: Don't we also need to rethink the “environment”?Christian P. Müller, Bernd Lenz & Johannes Kornhuber - 2012 - Behavioral and Brain Sciences 35 (5):374-375.
    Behavioural phenotypes have been explained by genetic and environmental factors (E) and their interaction. Here we suggest a rethinking of the E factor. Passively incurred environmental influences (E pass) and actively copied information and behaviour (E act) may be distinguished at shared and non-shared level. We argue that E act underlies mutation and selection and is the base of gene-independent heritability.
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  19.  29
    Adaptable robots.Gene Korienek & William Uzgalis - 2002 - Metaphilosophy 33 (1-2):83-97.
    In this essay we consider some of the characteristics of adaptive biological systems and how these might work as models in designing a robot intended for the exploration of complex environments. Trying to design a robot that has such properties forces one to think hard about the nature of those properties. Here we have one intersection between philosophy and computing. We consider the nature of adaptability and some properties of complex biological systems that are relevant to designing adaptive robots, including (...)
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  20.  65
    Number, form, content: Hume's dialogues , number nine.Gene Fendt - 2009 - Philosophy 84 (3):393-412.
    This paper's aim is threefold. First, I wish to show that there is an analogy in section nine that arises out of the interaction of the interlocutors; this analogy is, or has, a certain comic adequatic to the traditional (e.g. Aquinas's) arguments about proofs for the existence of God. Second, Philo's seemingly inconsequential example of the strange necessity of products of 9 in section nine is a perfected analogy of the broken arguments actually given in that section, destroying Philo's (...)
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  21.  34
    Number, Form, Content: Hume's Dialogues, Number Nine.Gene Fendt - 2009 - Philosophy 84 (3):393-412.
    This paper's aim is threefold. First, I wish to show that there is an analogy in section nine that arises out of the interaction of the interlocutors; this analogy is, or has, a certain comic adequatic to the traditional arguments about proofs for the existence of God. Second, Philo's seemingly inconsequential example of the strange necessity of products of 9 in section nine is a perfected analogy of the broken arguments actually given in that section, destroying Philo's earlier arguments. (...)
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  22.  92
    Plato’s Mimetic Art: The Power of the Mimetic and Complexity of Reading Plato.Gene Fendt - 2010 - Proceedings of the American Catholic Philosophical Association 84:239-252.
    Plato’s dialogues are self-defined as works of mimetic art, and the ancients clearly consider mimesis as working naturally before reason and beneath it. Such aview connects with two contemporary ideas—Rene Girard’s idea of the mimetic basis of culture and neurophysiological research into mirror neurons. Individualityarises out of, and can collapse back into our mimetic origin. This para-rational notion of mimesis as that in which and by which all our knowledge is framed requires we not only concern ourselves with Socrates’s arguments (...)
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  23.  20
    Environmental Education—Ponderings From Down Under.Gene C. Sager - 2001 - Global Bioethics 14 (1):105-111.
    This article describes and reflects upon Australia's extensive, federally-mandated, environmental education program. This program is based on a National Conservation Strategy which went into effect in 1989. But the program has massive support on the state and local levels as well. In addition to traditional classroom study of the environment and environmental issues, Audtralian Students do composting, re-vegetation of local canyons, and other hands-on activities. In many areas of the students' deatiledreports become the data base for the government's environmental (...)
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  24.  44
    Multiscale Modeling of Gene–Behavior Associations in an Artificial Neural Network Model of Cognitive Development.Michael S. C. Thomas, Neil A. Forrester & Angelica Ronald - 2016 - Cognitive Science 40 (1):51-99.
    In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively common gene variants and individual differences in behavior. It is perhaps surprising that such associations can be detected despite the remoteness of these levels of description, and the fact that behavior is the outcome of an extended developmental process involving interaction of the whole organism with a variable (...)
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  25.  41
    A Gene-Free Formulation of Classical Quantitative Genetics Used to Examine Results and Interpretations Under Three Standard Assumptions.Peter J. Taylor - 2012 - Acta Biotheoretica 60 (4):357-378.
    Quantitative genetics (QG) analyses variation in traits of humans, other animals, or plants in ways that take account of the genealogical relatedness of the individuals whose traits are observed. “Classical” QG, where the analysis of variation does not involve data on measurable genetic or environmental entities or factors, is reformulated in this article using models that are free of hypothetical, idealized versions of such factors, while still allowing for defined degrees of relatedness among kinds of individuals or “varieties.” The (...) - free formulation encompasses situations encountered in human QG as well as in agricultural QG. This formulation is used to describe three standard assumptions involved in classical QG and provide plausible alternatives. Several concerns about the partitioning of trait variation into components and its interpretation, most of which have a long history of debate, are discussed in light of the gene-free formulation and alternative assumptions. That discussion is at a theoretical level, not dependent on empirical data in any particular situation. Additional lines of work to put the gene-free formulation and alternative assumptions into practice and to assess their empirical consequences are noted, but lie beyond the scope of this article. The three standard QG assumptions examined are: (1) partitioning of trait variation into components requires models of hypothetical, idealized genes with simple Mendelian inheritance and direct contributions to the trait; (2) all other things being equal, similarity in traits for relatives is proportional to the fraction shared by the relatives of all the genes that vary in the population (e.g., fraternal or dizygotic twins share half of the variable genes that identical or monozygotic twins share); (3) in analyses of human data, genotype-environment interaction variance (in the classical QG sense) can be discounted. The concerns about the partitioning of trait variation discussed include: the distinction between traits and underlying measurable factors; the possible heterogeneity in factors underlying the development of a trait; the kinds of data needed to estimate key empirical parameters; and interpretations based on contributions of hypothetical genes; as well as, in human studies, the labeling of residual variance as a non-shared environmental effect; and the importance of estimating interaction variance. (shrink)
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  26.  24
    Being Human: Ethics, Environment, and Our Place in the World. By Anna L. Peterson. [REVIEW]Gene Wunderlich - 2003 - Agriculture and Human Values 20 (3):323-325.
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  27.  3
    Extraction and aggregation in the repair of individual and collective self-reference.Celia Kitzinger & Gene H. Lerner - 2007 - Discourse Studies 9 (4):526-557.
    On some occasions of self-reference there can be two equally viable forms available to speakers: individual self-reference and collective self-reference. This means that selection of one or the other in talk-in-interaction can — akin to the selection of terms for reference to non-present persons — be guided by such considerations as recipient design and action formation. As a strategy for investigating the selection of self-reference terms, this article examines repairs to self-reference that change the form of reference from individual (...)
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  28.  79
    Espousing interactions and Fielding reactions: Addressing laypeople's beliefs about genetic determinism.David S. Moore - 2008 - Philosophical Psychology 21 (3):331 – 348.
    Although biologists and philosophers of science generally agree that genes cannot determine the forms of biological and psychological traits, students, journalists, politicians, and other members of the general public nonetheless continue to embrace genetic determinism. This article identifies some of the concerns typically raised by individuals when they first encounter the systems perspective that biologists and philosophers of science now favor over genetic determinism, and uses arguments informed by that perspective to address those concerns. No definitive statements can yet be (...)
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  29.  4
    The selfish environment meets the selfish gene: Coevolution and inheritance of RNA and DNA pools.Anthony P. Monaco - 2022 - Bioessays 44 (2):2100239.
    Throughout evolution, there has been interaction and exchange between RNA pools in the environment, and DNA and RNA pools of eukaryotic organisms. Metagenomic and metatranscriptomic sequencing of invertebrate hosts and their microbiota has revealed a rich evolutionary history of RNA virus shuttling between species. Horizontal transfer adapted the RNA pool for successful future interactions which lead to zoonotic transmission and detrimental RNA viral pandemics like SARS‐CoV2. In eukaryotes, noncoding RNA (ncRNA) is an established mechanism derived from prokaryotes to (...)
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  30. Gene regulation, quantitative genetics and the evolution of reaction norms.Carl Schlichting & Massimo Pigliucci - 1995 - Evolutionary Ecology 9:154-168.
    A discussion of plasticity genes and the genetic architecture of gene-environment interactions.
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  31.  89
    Interactive predispositions.James Tabery - 2009 - Philosophy of Science 76 (5):876-888.
    Many cases of geneenvironment interaction, or , are misconstrued as evincing a genetic predisposition. I diagnose this misconstrual and then introduce a new concept— interactive predisposition —to correct for the mistake. I conclude by examining how recent debates over screening for individual predispositions are related to older debates about group differences between populations , drawing on the lessons of the latter to inform the former. †To contact the author, please write to: Department of Philosophy, University of Utah, (...)
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  32.  9
    Catechol-O-Methyltransferase Gene Val158Met Polymorphism Moderates the Effect of Social Exclusion and Inclusion on Aggression in Men: Findings From a Mixed Experimental Design.Meiping Wang, Pian Chen, Hang Li, Andrew Haddon Kemp & Wenxin Zhang - 2021 - Frontiers in Psychology 11.
    Accumulating research has identified the interactive effects of catechol-O-methyltransferase gene Val158Met polymorphism and environmental factors on aggression. However, available evidence was mainly based upon correlational design, which yields mixed findings concerning who are more affected by environmental conditions and has been challenged for the low power of analyses on geneenvironment interaction. Drawing on a mixed design, we scrutinized how COMT Val158Met polymorphism impacts on aggression, assessed by hostility, aggressive motivation, and aggressive behavior, under different social conditions (...)
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  33.  27
    G×E Interaction and Pluralism in the Postgenomic Era.Laurence Perbal - 2013 - Biological Theory 7 (3):266-274.
    Genetics is in a postgenomic era, and this article illustrates this epistemological evolution using the debate between developmental criticism and traditional biometric genetics about gene × environment interaction. Quantitative geneticists are blamed for failing to respect the complexity of development; as a response, they claim a defensive position, called isolationist pluralism, which supports the idea that studying development is not their problem. But postgenomics seems to have accepted and integrated some developmental criticisms and the isolationist perspective has (...)
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  34. Gene concepts and Genethics: Beyond exceptionalism.Péter Kakuk - 2008 - Science and Engineering Ethics 14 (3):357-375.
    The discursive explosion that was provoked by the new genetics could support the impression that the ethical and social problems posed by the new genetics are somehow exceptional in their very nature. According to this view we are faced with special ethical and social problems that create a challenge so fundamental that the special label of genethics is needless to justify. The historical account regarding the evolution of the gene concepts could serve us to highlight the limits of what (...)
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  35.  12
    Dynamic feelings about metaphors for genes: Implications for research and genetic policy.Celeste M. Condit - 2009 - Genomics, Society and Policy 5 (3):1-15.
    People respond to metaphors as much with regard to the emotions that they generate as to their referential, comparative contents. Interviews with non-geneticists about preferred metaphors for gene-environment interaction that illustrate this tendency are reported. These interviews also reveal the dynamic tendency of such emotional responses. A second set of interviews shows that lay people may preferentially use a metaphor of "virus" or "disease" for talking about genes, as opposed to the coding metaphors transmitted through the mass (...)
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  36. Gene–culture coevolution and the evolution of social institutions.Robert Boyd & Peter J. Richerson - unknown
    Social institutions are the laws, informal rules, and conventions that give durable structure to social interactions within a population. Such institutions are typically not designed consciously, are heritable at the population level, are frequently but not always group benefi cial, and are often symbolically marked. Conceptualizing social institutions as one of multiple possible stable cultural equilibrium allows a straightforward explanation of their properties. The evolution of institutions is partly driven by both the deliberate and intuitive decisions of individuals and collectivities. (...)
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  37.  18
    Making Sense of Genes.Kostas Kampourakis - 2017 - Cambridge, UK: Cambridge University Press.
    What are genes? What do genes do? These seemingly simple questions are in fact challenging to answer accurately. As a result, there are widespread misunderstandings and over-simplistic answers, which lead to common conceptions widely portrayed in the media, such as the existence of a gene 'for' a particular characteristic or disease. In reality, the DNA we inherit interacts continuously with the environment and functions differently as we age. What our parents hand down to us is just the beginning (...)
  38.  18
    Parasitism genes and host range disparities in biotrophic nematodes: the conundrum of polyphagy versus specialisation.Vivian C. Blok, John T. Jones, Mark S. Phillips & David L. Trudgill - 2008 - Bioessays 30 (3):249-259.
    This essay considers biotrophic cyst and root‐knot nematodes in relation to their biology, host–parasite interactions and molecular genetics. These nematodes have to face the biological consequences of the physical constraints imposed by the soil environment in which they live while their hosts inhabit both above and below ground environments. The two groups of nematodes appear to have adopted radically different solutions to these problems with the result that one group is a host specialist and reproduces sexually while the other (...)
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  39.  21
    Genes for Human Personality Traits.Jonathan Benjamin - 1998 - Science in Context 11 (3-4):357-372.
    The ArgumentThis article considers three major problems with the concept of genes for human personality traits: uncertainty about what human personality is; what we mean when we say there is a gene “for” a mental attribute; and the complexity of interactions between genes and environment, and among the genes themselves. It then draws on examples from empirical human genetic studies by the author and his colleagues in order to suggest that the concept of genes for human personality traits (...)
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  40.  25
    Cultural evolution of genetic heritability.Ryutaro Uchiyama, Rachel Spicer & Michael Muthukrishna - 2021 - Behavioral and Brain Sciences 45:e152.
    Behavioral genetics and cultural evolution have both revolutionized our understanding of human behavior – largely independent of each other. Here, we reconcile these two fields under a dual inheritance framework, offering a more nuanced understanding of the interaction between genes and culture. Going beyond typical analyses of geneenvironment interactions, we describe the cultural dynamics that shape these interactions by shaping the environment and population structure. A cultural evolutionary approach can explain, for example, how factors such as (...)
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  41. The interaction between enhancer variants and environmental factors as an overlooked aetiological paradigm in human complex disease.Sarah Robert & Alvaro Rada-Iglesias - 2023 - Bioessays 45 (10):2300038.
    The interactions between genetic and environmental risk factors contribute to the aetiology of complex human diseases. Genome‐wide association studies (GWAS) have revealed that most of the genetic variants associated with complex diseases are located in the non‐coding part of the genome, preferentially within enhancers. Enhancers are distal cis‐regulatory elements composed of clusters of transcription factors binding sites that positively regulate the expression of their target genes. The generation of genome‐wide maps for histone marks (e.g., H3K27ac), chromatin accessibility and transcription factor (...)
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  42.  23
    Quantitative assessment of organism–environment couplings.J.-L. Torres, O. Pérez-Maqueo, M. Equihua & L. Torres - 2009 - Biology and Philosophy 24 (1):107-117.
    The evolutionary implications of environmental change due to organismic action remain a controversial issue, after a decades—long debate on the subject. Much of this debate has been conducted in qualitative fashion, despite the availability of mathematical models for organism–environment interactions, and for gene frequencies when allele fitness can be related to exploitation of a particular environmental resource. In this article we focus on representative models dealing with niche construction, ecosystem engineering, the Gaia Hypothesis and community interactions of Lotka–Volterra (...)
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  43. The Monoamine Oxidase A (MAOA) Genetic Predisposition to Impulsive Violence: Is It Relevant to Criminal Trials?Matthew L. Baum - 2011 - Neuroethics 6 (2):287-306.
    In Italy, a judge reduced the sentence of a defendant by 1 year in response to evidence for a genetic predisposition to violence. The best characterized of these genetic differences, those in the monoamine oxidase A (MAOA), were cited as especially relevant. Several months previously in the USA, MAOA data contributed to a jury reducing charges from 1st degree murder (a capital offence) to voluntary manslaughter. Is there a rational basis for this type of use of MAOA evidence in criminal (...)
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  44.  12
    Wrestling with pleiotropy: Genomic and topological analysis of the yeast gene expression network.David E. Featherstone & Kendal Broadie - 2002 - Bioessays 24 (3):267-274.
    The vast majority (> 95%) of single-gene mutations in yeast affect not only the expression of the mutant gene, but also the expression of many other genes. These data suggest the presence of a previously uncharacterized ‘gene expression network’—a set of interactions between genes which dictate gene expression in the native cell environment. Here, we quantitatively analyze the gene expression network revealed by microarray expression data from 273 different yeast gene deletion mutants.(1) We (...)
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  45.  5
    When biology goes underground: genes and the spectre of race1.Tim Ingold - 2008 - Genomics, Society and Policy 4 (1):1-15.
    This paper examines the changing meanings of the concept of 'biology', and of its opposition to 'culture', through an analysis of the ways in which anthropologists have sought to refute the idea that humanity is divided into distinct races. Efforts to redefine all extant humans as belonging to a single sub-species, or to replace 'race' with 'culture', only serve to perpetuate raciological thinking. This kind of thinking had its origins in the moral evaluation of physical difference, the construction of hierarchy (...)
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  46.  23
    A simple model to explain evolutionary trends of eukaryotic gene architecture and expression.Francesco Catania & Michael Lynch - 2013 - Bioessays 35 (6):561-570.
    Enormous phylogenetic variation exists in the number and sizes of introns in protein‐coding genes. Although some consideration has been given to the underlying role of the population‐genetic environment in defining such patterns, the influence of the intracellular environment remains virtually unexplored. Drawing from observations on interactions between co‐transcriptional processes involved in splicing and mRNA 3′‐end formation, a mechanistic model is proposed for splice‐site recognition that challenges the commonly accepted intron‐ and exon‐definition models. Under the suggested model, splicing factors (...)
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  47.  7
    Brain gain—Is the cognitive performance of domestic hens affected by a functional polymorphism in the serotonin transporter gene?Anissa Dudde, Loc Phi Van, Lars Schrader, Arnd J. Obert & E. Tobias Krause - 2022 - Frontiers in Psychology 13.
    The serotonin transporter plays an important role in regulating serotonergic transmission via removal of serotonin from synaptic clefts. Alterations in 5-HTT expression and subsequent 5-HT transmission have been found to be associated with changes in behaviour, such as fearfulness or activity, in humans and other vertebrates. In humans, alterations in 5-HTT expression have been suggested to be able to lead to better learning performance, with more fearful persons being better at learning. Similar effects of the variation in the 5-HTT on (...)
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  48.  18
    Transcriptional regulation of the dihydrofolate reductase gene.Jill E. Slansky & Peggy J. Farnham - 1996 - Bioessays 18 (1):55-62.
    As cells approach S phase, many changes occur to create an environment conducive for DNA synthesis and commitment to cell division. The transcription rate of many genes encoding enzymes involved in DNA synthesis, including the dihydrofolate reductase (dhfr) gene, increases at the G1/S boundary of the cell cycle. Although a number of transcription factors interact to finely tune the levels of dhfr RNA produced, two families of transcription factors, Sp1 and E2F, play central roles in modulating dhfr levels. (...)
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  49. The Baldwin effect and Genetic assimilation: Contrasting explanatory foci and Gene concepts in two approaches to an evolutionary process.Paul Griffiths - 2006 - In Peter Carruthers, Stephen Laurence & Stephen P. Stich (eds.), The Innate Mind: Culture and Cognition. New York: Oxford University Press USA. pp. 91-101.
    David Papineau (2003; 2005) has discussed the relationship between social learning and the family of postulated evolutionary processes that includes ‘organic selection’, ‘coincident selection’, ‘autonomisation’, ‘the Baldwin effect’ and ‘genetic assimilation’. In all these processes a trait which initially develops in the members of a population as a result of some interaction with the environment comes to develop without that interaction in their descendants. It is uncontroversial that the development of an identical phenotypic trait might depend on (...)
     
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  50.  18
    On genes, environment, and experience.Matt McGue, Thomas J. Bouchard, David T. Lykken & Deborah Finkel - 1991 - Behavioral and Brain Sciences 14 (3):400-401.
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