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Phenotypic variation is the result of gene expression based on complex interaction between genetic and environmental factors. It is well known that genetic and environmental factors influence gene expression, but our understanding of their relative importance remains limited. To obtain a hint for the understanding of their contributions, we took advantage of monozygotic twins, as they share genetic and shared environmental factors but differ in nonshared factors, such as environmental differences and stochastic factors. In this study, we performed cap analysis of gene expression on three pairs of twins and clustered each individual based on their expression profiles of annotated genes. The dendrogram of annotated gene transcripts showed a monophyletic clade for each twin pair. We also analyzed the expression of retrotransposons, such as human endogenous retroviruses (HERVs) and long interspersed nuclear elements (LINEs), given their abundance in the genome. Clustering analyses demonstrated that HERV and LINE expression diverged even within monozygotic twin pairs. Thus, HERVs and LINEs are more susceptible to nonshared factors than annotated genes. Motif analysis of differentially expressed annotated genes suggests that specificity protein/Krüppel-like factor family transcription factors are involved in the expression divergence of annotated gene influenced by nonshared factors. Collectively, our findings suggest that expressions of annotated genes and retrotransposons are differently regulated, and that the expression of retrotransposons is more susceptible to nonshared factors than annotated genes.
Chapter 2 first discusses the fact that humans form one of the many millions of animal species that, along with non-animal species, all occupy a place in the big “tree of life,” followed by two responses which aim to single out humans as fundamentally different, especially in terms of their mental capacities. Given our focus of attention on the mind, we discuss the notions mind–body dualism and modularity. The remainder of this chapter offers a preview of many issues that will be discussed in more detail in subsequent chapters. We review the central question how people come to know what they know in some detail, which allows us to be more precise about what we mean by “nature” and “nurture.” We then focus on Noam Chomsky’s Innateness Hypothesis for language, considering its impact in all fields that study human behavior. We preview what this hypothesis entails about how children acquire their language and the predictions it makes about general, universal properties that all languages share. We discuss why Chomsky’s Innateness Hypothesis is controversial and conclude the chapter with some genetic and neurological aspects of the innateness claim.
Self-reported wellbeing is correlated with activity in a number of brain areas. The sensation of pain is most clearly experienced in the anterior cingulate cortex which registers both physical pain and social pain.
The mind affects the body and vice versa. Wellbeing predicts mortality as well as smoking does. Prolonged psychological stress leads to excessive production of adrenaline/epinephrine and cortisol, over-activity of the immune system and to excessive inflammation in the body. Equally, the body affects the mind. This is obvious in the effects of drugs, recreational and psychiatric.
Our genes have important effects on our wellbeing. We know this in two ways. Identical twins (who have identical genes) are much more similar to each other in their wellbeing than are non-identical twins. Adopted children are more similar in mental health to their biological parents than to the parents who raised them. It is however not possible to neatly separate the effects of the genes and the environment for two reasons: (1) Genes and environment often interact in their effects on wellbeing. (2) Genes and the environment are correlated.
The first half of this chapter investigates the ways in which the concept of biological parenthood is used in philosophy of parenthood but also in non-academic contexts, noting that ‘genetic parent’ is often – but not always – used interchangeably with ‘biological parent’. I raise the question of whether gestation constitutes biological parenthood in the absence of genetic connection, and I consider two possible explanations for discrepancy in the use of the concept of biological parenthood. I highlight ways in which the interplay between this and other concepts of parenthood means that discrepancy in our use of language has significant consequences and give an argument against geneticist understandings of biological parenthood. The second part of the chapter considers the right to be a biological parent and the right to not be a biological parent. The discussion of these rights-claims is illustrated by reference to current legal and philosophical dilemmas: debates over access to reproductive technologies; the dilemma faced by separated couples who disagree over the use of their frozen embryos; and the philosophical questions raised by the possibility of ectogenesis with regards to abortion. Is the right to end a pregnancy the same as the right not to be a parent?
Edited by
James Law, University of Newcastle upon Tyne,Sheena Reilly, Griffith University, Queensland,Cristina McKean, University of Newcastle upon Tyne
Developmental language disorder (DLD) is estimated to affect 8 per cent of primary school-aged children, and has lasting impacts on academic achievement and social-emotional and behavioural outcomes. DLD is classified as a severe and persistent impairment in the acquisition, understanding, production or use of language, occurring in the absence of comorbid neurodevelopmental disorder. The phenotype of DLD is well established, yet there is relatively limited understanding of its aetiology. A complex interaction of genetic variants and environmental factors is thought to be the cause. To date, linkage and association analyses have implicated a handful of genes in DLD populations, including CMIP and ATP2C2. While many of these variants are common in DLD, they are not consistently associated with severe language impairment, and many overlap with chromosome regions commonly associated with neurodevelopmental disorders such as intellectual disability. The effects of alternate genetic models such as copy number and rare variants may provide a gateway to understanding the complex genetic pathways of this disorder. Pleiotropy and generalisation are also important considerations in understanding the genetic architecture of DLD. Here we outline the phenotype of DLD and provide an overview of recently identified gene pathways implicated in this disorder.
In this article, we examine whether there is genetic overlap between personality traits and political participation, interest, and efficacy. We make several contributions to the literature. First, we use new data from a large sample of twins from Denmark to examine the link between genes, the Big Five traits, and political behavior. Previous research in this area has not examined the Danish context. Second, because our measures have some overlap with those used in previous studies, we are able to examine whether previous findings replicate in a different sample. Finally, we extend the literature by examining the possible genetic link between some personality and political traits that have not yet been explored. Overall, we find that genes account for a fairly large share of the correlation between two of the Big Five personality traits (openness and extraversion), political participation, and political interest. Thus, most of the relationship between these personality traits and our measures of political behavior can be accounted for by a common underlying genetic component.
Studies show that eating disorders tend to run in families. This suggests genes contribute to eating disorders. Genes cause traits. Several studies show people with eating disorders share traits that existed before the disorder, and they appear to contribute toward maintaining the disorder. For example perfectionism, obsessionality, high achievement orientation, and anxiety are common AN traits. Brain imaging studies show differences in the parts of the brain involved in eating in individuals with eating disorders compared with those who do not have eating disorders. Together, research shows there are strong genetic and neurobiological causes of eating disorders.
Genes in which rare, damaging variants substantially increase risk of developing schizophrenia have now been identified. These findings can influence how we think about mental illness in general as well as yielding specific insights into schizophrenia aetiology. Better understanding of underlying biology might eventually lead to improved treatments.
No previous research explored the genetic and environmental structure of Big Five dimensions of personality and higher-order factors in a single twin study, except, in part, for just one study. We used the twin design to estimate the effects of genes and environment on both Five Factor model and related second- and third-order factors (i.e., Alpha [stability], Beta [plasticity], and GFP [general factor of personality]). We analyzed data from 314 adult twins (157 pairs: 83 monozygotic, 74 dizygotic; mean age: 52 years) enrolled in the Italian Twin Register. Participants underwent clinical and instrumental evaluations, and completed a 25-adjective list drawn from the Short Adjectives Checklist to Measure Big Five (SACBIF). We applied quantitative genetic models to unravel the sources of variation and covariation for the Big Five and higher-order factors. We found a similar etiological architecture across the different levels of analysis, with moderate to substantial non-additive genetic and unique environmental influences on all the personality traits, and no shared environmental contribution for any of them. We also detected significant genetic correlations for the Big Five dimensions and the Alpha and Beta super-factors. With some limitations, our results suggest that the etiological architecture of personality may be invariant to the factor level of analysis.
This study investigates the mechanism by which maternal protein restriction induces hepatic autophagy-related gene expression in the offspring of rats. Pregnant Sprague-Dawley rats were fed either a control diet (C, 18 % energy from protein) or a low-protein diet (LP, 8·5 % energy from protein) during gestation, followed by the control diet during lactation and post-weaning. Liver tissue was collected from the offspring at postnatal day 38 and divided into four groups according to sex and maternal diet (F-C, F-LP, M-C and M-LP) for further analysis. Autophagy-related mRNA and protein levels were determined by real-time PCR and Western blotting, respectively. In addition, chromatin immunoprecipitation (ChIP) was performed to investigate the interactions between transcription factors and autophagy-related genes. Protein levels of p- eukaryotic translation initiation factor 2a and activating transcription factor 4 (ATF4) were increased only in the female offspring born to dams fed the LP diet. Correlatively, the mRNA expression of hepatic autophagy-related genes including Map1lc3b, P62/Sqstm1, Becn1, Atg3, Atg7 and Atg10 was significantly greater in the F-LP group than in the F-C group. Furthermore, ChIP results showed greater ATF4 and C/EBP homology protein (CHOP) binding at the regions of a set of autophagy-related genes in the F-LP group than in the F-C group. Our data demonstrated that a maternal LP diet transcriptionally programmed hepatic autophagy-related gene expression only in female rat offspring. This transcriptional programme involved the activation of the eIF2α/ATF4 pathway and intricate regulation by transcription factors ATF4 and CHOP.
Metabolic disturbances are common in patients maintained on neuroleptics. These abnormalities significantly increase the physical comorbidity and mortality rates due to cardiovascular disease. We hypothesized that 5-HT receptor genes polymorphisms have associations with drug-induced metabolic syndrome development in schizophrenic patients.
Objectives
To investigate the role of polymorphic variants of serotonin receptors genes in the development of antipsychotic-induced metabolic syndrome.
Methods
467 patients with schizophrenia receiving long-term antipsychotic therapy were investigated. The mean age was 40.0±11.6 years. The standard phenol-chloroform method for DNA isolation was used. Genotyping was carried out on eight SNP’s of genes HTR1A, HTR2A, HTR3A and HTR2C with the MassARRAY® Analyzer 4 (Agena Bioscience™) using the set SEQUENOM Consumables iPLEX Gold 96 on the base The Core Facility “Medical Genomics”, Tomsk NRMC.
Results
The prevalence of metabolic syndrome was 26.1%. In the study sample, there were significantly more women with metabolic syndrome (56.6%) than men (43.4%) (p=0.002). The majority of patients with metabolic disturbances were aged >40 years (62.3%), versus 40.9% in the group without metabolic disorders (p<0.001). The duration of the disease was statistically significantly higher in the group of patients with metabolic syndrome (p=0.003). We did not find statistically significant associations of polymorphic variants of the studied genes with the development of the drug-induced metabolic syndrome.
Conclusions
Our results do not demonstrate any significant association between allelic variants of serotonin receptor genes and metabolic syndrome in patients with schizophrenia. Conflict of interest. The authors declare no conflict of interest. Supported by Grant of RSF 19-75-10012.
Regulation of the transforming growth factor beta (TGFβ) superfamily by gonadotrophins in swine follicular cells is not fully understood. This study evaluated the expression of steroidogenic enzymes and members of the TGFβ superfamily in prepubertal gilts allocated to three treatments: 1200 IU eCG at D −3 (eCG); 1200 IU eCG at D −6 plus 500 IU hCG at D −3 (eCG + hCG); and the control, composed of untreated gilts. Blood samples and ovaries were collected at slaughter (D0) and follicular cells were recovered thereafter. Relative gene expression was determined by real-time PCR. Serum progesterone levels were greater in the eCG + hCG group compared with the other groups (P < 0.01). No differences were observed in the expression of BMP15, BMPR1A, BMPR2, FSHR, GDF9, LHCGR and TGFBR1 (P > 0.05). Gilts from the eCG group presented numerically greater mean expression of CYP11A1 mRNA than in the control group that approached statistical significance (P = 0.08) and greater expression of CYP19A1 than in both the eCG and the control groups (P < 0.05). Expression of BMPR1B was lower in the eCG + hCG treatment group compared with the control (P < 0.05). In conclusion, eCG treatment increased the relative expression of steroidogenic enzymes, whereas treatment with eCG + hCG increased serum progesterone levels. Although most of the evaluated TGFβ members were not regulated after gonadotrophin treatment, the downregulation of BMPR1B observed after treatment with eCG + hCG and suggests a role in luteinization regulation.
Mammary tissue (MT) turnover is characterized by programed cell death and remodeling which might be affected by both feeding level and animal species. Thus, twenty-four dairy goats and the same number of sheep were assigned to three homogenous sub-groups per animal species and fed the same diet in quantities which met 70% (FL70), 100% (FL100) and 130% (FL130) of their daily energy and crude protein requirements. Individual MT samples were taken by biopsy from the animals on the 30th and 60th experimental day. The results showed, in the first sampling time, a significant reduction in the mRNA abundance for selected genes involved in programed cell death in both FL 70 fed goats (STAT3 and BECN1) and sheep (CASPASE8 and BECN1) compared with the respective FL100 groups. The FL130, in comparison with the FL100, caused a significant increase in transcripts accumulation of STAT3 gene in both sampling times and CASPASE8 gene in the second sampling time in goat MT, while the opposite happened for the mRNA expression of CASPASE8 and BECN1 genes in sheep MT, but only in the first sampling time. Moreover, a significant up regulation in the mRNA levels of MMP2 gene in MT of FL130 fed sheep was observed. The FL130, in comparison with the FL70, caused an enhancement in the mRNA expression levels of BECN1, CASPASE8, BAX and STAT3 genes in goat MT only. It was also shown that apoptosis and autophagy can be affected simultaneously by the feeding level. Overfeeding affects MT programed cell death and remodeling by a completely different way in goats than sheep. In conclusion, feeding level and animal species have strong effects on both MT programed cell death (apoptosis and autophagy) and remodeling but the molecular mechanisms need further investigation.
The present study aimed to explore secular trends in age at voice change (AVC), estimate heritability of AVC and investigate to what extent common genes influence the association between AVC and body mass index (BMI) in South Korean males. The sample of 955 male twins consisted of 241 pairs and 118 co-twin missing monozygotic (MZ) twins, 82 pairs and 50 co-twin missing dizygotic (DZ) twins and 141 male members of opposite-sex DZ twins who participated in telephone surveys in the South Korean Twin Registry. AVC was asked of twins during the surveys. The mean (SD) age of the sample was 18.92 (2.42) years (range: 16.00–29.25 years). The birth years of the twins were divided into two groups (1988–1993, 1994–2001). Kaplan–Meyer survival analyses were conducted to compute the mean age of AVC in the total sample as well as to test mean differences between the two birth cohorts. Maximum likelihood twin correlations and univariate and bivariate model-fitting analyses were performed. The mean AVC in the total sample was 14.19 (95% CI [14.09, 14.29]) years. The mean AVC significantly declined from 14.38 to 14.02 years from 1988 to 2001, confirming downward trends in AVC in recent years. Heritability for AVC was .59 (95% CI [.50, .67]), which was within the range reported in most Western twin studies. Although the phenotypic correlation between AVC and BMI was modest (r = −.14; 95% CI [−.07, −.21]), it was entirely mediated by common genes, similar to what has been found in females in prior twin studies. In conclusion, the present twin study underscores the importance of genetic influences on pubertal timing and its association with BMI in South Korean males.
This study sought to conduct a comprehensive search for genetic risk of cognitive decline in the context of geriatric depression.
Design:
A genome-wide association study (GWAS) analysis in the Neurocognitive Outcomes of Depression in the Elderly (NCODE) study.
Setting:
Longitudinal, naturalistic follow-up study.
Participants:
Older depressed adults, both outpatients and inpatients, receiving care at an academic medical center.
Measurements:
The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) neuropsychological battery was administered to the study participants at baseline and a minimum of twice within a subsequent 3-year period in order to measure cognitive decline. A GWAS analysis was conducted to identify genetic variation that is associated with baseline and change in the CERAD Total Score (CERAD-TS) in NCODE.
Results:
The GWAS of baseline CERAD-TS revealed a significant association with an intergenic single-nucleotide polymorphism (SNP) on chromosome 6, rs17662598, that surpassed adjustment for multiple testing (p = 3.7 × 10−7; false discovery rate q = 0.0371). For each additional G allele, average baseline CERAD-TS decreased by 8.656 points. The most significant SNP that lies within a gene was rs11666579 in SLC27A1 (p = 1.1 × 10−5). Each additional copy of the G allele was associated with an average decrease of baseline CERAD-TS of 4.829 points. SLC27A1 is involved with processing docosahexaenoic acid (DHA), an endogenous neuroprotective compound in the brain. Decreased levels of DHA have been associated with the development of Alzheimer’s disease. The most significant SNP associated with CERAD-TS decline over time was rs73240021 in GRXCR1 (p = 1.1 × 10−6), a gene previously linked with deafness. However, none of the associations within genes survived adjustment for multiple testing.
Conclusions:
Our GWAS of cognitive function and decline among individuals with late-life depression (LLD) has identified promising candidate genes that, upon replication in other cohorts of LLD, may be potential biomarkers for cognitive decline and suggests DHA supplementation as a possible therapy of interest.
Between 1880 and 1920 the medical quest to unearth the causes of disease saw two pathbreaking discoveries. One was the bacteriological revolution – the identification of specific germs as causal agents of specific diseases (anthrax, tuberculosis, diphtheria, cholera and so on), and the simultaneous effort to develop disinfection techniques and immunisation measures to combat these diseases. The other was the rediscovery of Mendel’s laws of heredity and the resulting emergence of medical genetics, where an entire set of medical maladies (deafness, blindness, bodily deformities, haemophilia, Huntington’s chorea, feeble-mindedness and many mental diseases) were identified – rightly or wrongly – as genetically determined. The ‘germ theory of disease’ and the ‘gene theory of disease’ shared striking, all-too-often overlooked similarities. Both theories built on shared epistemological assumptions that influenced their explanatory mechanisms and their overall conceptual frameworks; both mobilised similar visual and linguistic vocabulary; both appropriated – and enforced – prevailing cultural and gender norms; and both enshrined broadly parallel hygienic practices. Reflecting similar social concerns, medical bacteriology and medical genetics acquired kindred scientific and societal configurations, which this paper highlights and scrutinises.
Cognitive functions are highly heritable and polygenic, determined by many different genes. This chapter summarizes current knowledge regarding the genetic basis of cognitive abilities based on evidence from twin studies and behavioral genetic studies, focusing on single genes or polygenic scores. Given the focus of this book on aging, we also highlight differences of genetic influences on cognition across the adult life span, which contribute to the large interindividual differences in the decline of cognition in old age. In addition, we discuss the complex interplay between genetic and environmental factors in influencing cognition in adulthood and aging. Here, we focus on gene-environment interactions, gene-environment correlations, and epigenetic mechanisms, which likely account for some of the differential patterns in cognitive aging trajectories.
Chapter 11 elaborates on a number of points argued in preceding chapters. A first concerns the finding that the inferences drawn about Neandertal language from the Neanderthal behaviours at issue are less than sound. This does not imply that Neanderthals could not have had a form of language. Nor does it imply that non-behavioural attributes of Neanderthals provide better windows on their linguistic attributes. This is substantiated by an appraisal of two important inferences about Neanderthal language drawn from putative correspondences between the brains and genes of Neanderthals and those of modern humans. Both the gene and the brain inference are found to be unsound. A second point concerns the roots of the controversial nature of much that has been claimed about Neanderthal language. An often cited one is the lack of uncontentious evidence about Neanderthal language. The root cause, however, lies deeper in a poor conceptual framework that lacks, inter alia, appropriate conditions on the soundness of inferences. A third point concerns the mysterious nature of Neanderthals’ language. Chapter 11 argues that credible inferences about what it involved can be drawn from Neanderthals’ cooperative hunting. It comprised referential signs but lacked complex grammar.
This rejoinder uses the neuroimaging literature on affect regulation to exemplify how integration of complementary methods suggested by the commentaries could advance neurobiological understanding of personality disorders. It illustrates progressive insights gained from incorporating multiple sources of evidence including neuroimaging, genetics, and behavioral data associated with affect regulation. It also demonstrates the use of brain pattern activation analysis in addition to studying individual regions of interest to better understand the complex relationships between biological genotype, brain activity, and behavioral phenotype. The ways in which neuroimaging can serve as an endophenotype to bridge the gap between genes and distant phenotypes are highlighted.