Genetics and Intelligence Differences: Five Special Findings
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A Comprehensive Study of Metabolite Genetics Reveals Strong Pleiotropy and Heterogeneity Across Time and Context
ARTICLE https://doi.org/10.1038/s41467-019-12703-7 OPEN A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context Apolline Gallois1,12, Joel Mefford2,12, Arthur Ko 3, Amaury Vaysse 1, Hanna Julienne1, Mika Ala-Korpela4,5,6,7,8,9, Markku Laakso 10, Noah Zaitlen2,12*, Päivi Pajukanta 3,12*& Hugues Aschard 1,11,12* 1234567890():,; Genetic studies of metabolites have identified thousands of variants, many of which are associated with downstream metabolic and obesogenic disorders. However, these studies have relied on univariate analyses, reducing power and limiting context-specific under- standing. Here we aim to provide an integrated perspective of the genetic basis of meta- bolites by leveraging the Finnish Metabolic Syndrome In Men (METSIM) cohort, a unique genetic resource which contains metabolic measurements, mostly lipids, across distinct time points as well as information on statin usage. We increase effective sample size by an average of two-fold by applying the Covariates for Multi-phenotype Studies (CMS) approach, identifying 588 significant SNP-metabolite associations, including 228 new associations. Our analysis pinpoints a small number of master metabolic regulator genes, balancing the relative proportion of dozens of metabolite levels. We further identify associations to changes in metabolic levels across time as well as genetic interactions with statin at both the master metabolic regulator and genome-wide level. 1 Department of Computational Biology - USR 3756 CNRS, Institut Pasteur, Paris, France. 2 Department of Medicine, University of California, San Francisco, CA, USA. 3 Department of Human Genetics, University of California, Los Angeles, CA, USA. -
Evolution by Natural Selection, Formulated Independently by Charles Darwin and Alfred Russel Wallace
UNIT 4 EVOLUTIONARY PATT EVOLUTIONARY E RNS AND PROC E SS E Evolution by Natural S 22 Selection Natural selection In this chapter you will learn that explains how Evolution is one of the most populations become important ideas in modern biology well suited to their environments over time. The shape and by reviewing by asking by applying coloration of leafy sea The rise of What is the evidence for evolution? Evolution in action: dragons (a fish closely evolutionary thought two case studies related to seahorses) 22.1 22.4 are heritable traits that with regard to help them to hide from predators. The pattern of evolution: The process of species have changed evolution by natural and are related 22.2 selection 22.3 keeping in mind Common myths about natural selection and adaptation 22.5 his chapter is about one of the great ideas in science: the theory of evolution by natural selection, formulated independently by Charles Darwin and Alfred Russel Wallace. The theory explains how T populations—individuals of the same species that live in the same area at the same time—have come to be adapted to environments ranging from arctic tundra to tropical wet forest. It revealed one of the five key attributes of life: Populations of organisms evolve. In other words, the heritable characteris- This chapter is part of the tics of populations change over time (Chapter 1). Big Picture. See how on Evolution by natural selection is one of the best supported and most important theories in the history pages 516–517. of scientific research. -
Cognitive Ability and Education: How Behavioural Genetic Research Has Advanced Our Knowledge and Understanding of Their Association
Cognitive ability and education: how behavioural genetic research has advanced our knowledge and understanding of their association Margherita Malanchini1,2,3, Kaili Rimfeld2, Andrea G. Allegrini2, Stuart J. Ritchie2, & Robert Plomin2 1 Department of Biological and Experimental Psychology, Queen Mary University of London, United Kingdom. 2 Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, United Kingdom. 3 Population Research Center, The University of Texas at Austin, United States. Correspondence: Margherita Malanchini, Department of Biological and Experimental Psychology, Queen Mary University of London, Office 2.02, G.E. Fogg Building, Mile End Road, London E1 4NS. E-mail: [email protected] Abstract Cognitive ability and educational success predict positive outcomes across the lifespan, from higher earnings to better health and longevity. The shared positive outcomes associated with cognitive ability and education are emblematic of the strong interconnections between them. Part of the observed associations between cognitive ability and education, as well as their links with wealth, morbidity and mortality, are rooted in genetic variation. The current review evaluates the contribution of decades of behavioural genetic research to our knowledge and understanding of the biological and environmental basis of the association between cognitive ability and education. The evidence reviewed points to a strong genetic basis in their association, observed from middle childhood to old age, which is amplified by environmental experiences. In addition, the strong stability and heritability of educational success are not driven entirely by cognitive ability. This highlights the contribution of other educationally relevant noncognitive characteristics. Considering both cognitive and noncognitive skills as well as their biological and environmental underpinnings will be fundamental in moving towards a comprehensive, evidence-based model of education. -
Investigations Into Roles for Endocytosis in LIN-12/Notch
Investigations into roles for endocytosis in LIN-12/Notch signaling and its regulation Jessica Chan Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2020 © 2020 Jessica Chan All Rights Reserved Abstract The LIN-12/Notch signaling pathway is highly conserved in all animals, and is crucial for proper development. It is a key pathway in specifying cell fate in many cellular contexts, and dysregulation of the pathway can have deleterious consequences. Therefore, understanding how LIN-12/Notch signaling is regulated in different contexts has been a main area of interest in the field. Previous studies in different model organisms have identified many modes of regulation of the signaling pathway, one of which is endocytosis of the ligand and receptor. Here, I further investigated the role of endocytosis in LIN-12/Notch signaling in multiple developmental contexts in Caenorhabditis elegans. Work in Drosophila and vertebrates had previously established that ligand-mediated activation of Notch requires ubiquitination of the intracellular domain of the transmembrane ligand and the activity of the endocytic adaptor Epsin in the signaling cell. The consensus in the field is that Epsin-mediated endocytosis of mono-ubiquitinated ligand generates a pulling force that exposes a cleavage site in Notch for an ADAM protease, a critical step in signal transduction. In contrast, in this thesis, I examined two different transmembrane ligands in several different cell contexts and found that activation of LIN-12/Notch and the paralogous GLP-1/Notch in C. -
Nicotinic Receptor Alpha7 Expression During Tooth Morphogenesis Reveals Functional Pleiotropy
Nicotinic Receptor Alpha7 Expression during Tooth Morphogenesis Reveals Functional Pleiotropy Scott W. Rogers1,2*, Lorise C. Gahring1,3 1 Geriatric Research, Education and Clinical Center, Veteran’s Administration, Salt Lake City, Utah, United States of America, 2 Department of Neurobiology and Anatomy, University of Utah School of Medicine, Salt Lake City, Utah, United States of America, 3 Division of Geriatrics, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, United States of America Abstract The expression of nicotinic acetylcholine receptor (nAChR) subtype, alpha7, was investigated in the developing teeth of mice that were modified through homologous recombination to express a bi-cistronic IRES-driven tau-enhanced green fluorescent protein (GFP); alpha7GFP) or IRES-Cre (alpha7Cre). The expression of alpha7GFP was detected first in cells of the condensing mesenchyme at embryonic (E) day E13.5 where it intensifies through E14.5. This expression ends abruptly at E15.5, but was again observed in ameloblasts of incisors at E16.5 or molar ameloblasts by E17.5–E18.5. This expression remains detectable until molar enamel deposition is completed or throughout life as in the constantly erupting mouse incisors. The expression of alpha7GFP also identifies all stages of innervation of the tooth organ. Ablation of the alpha7-cell lineage using a conditional alpha7Cre6ROSA26-LoxP(diphtheria toxin A) strategy substantially reduced the mesenchyme and this corresponded with excessive epithelium overgrowth consistent with an instructive role by these cells during ectoderm patterning. However, alpha7knock-out (KO) mice exhibited normal tooth size and shape indicating that under normal conditions alpha7 expression is dispensable to this process. -
The Genetic Architecture of Economic and Political Preferences
1 The Genetic Architecture of Economic and Political Preferences Daniel J. Benjamin1*, David Cesarini2, Matthijs J.H.M. van der Loos3, Christopher T. Dawes4, Philipp D. Koellinger3, Patrik K.E. Magnusson5, Christopher F. Chabris6, Dalton Conley7, David Laibson8, Magnus Johannesson9, and Peter M. Visscher10 1Department of Economics, Cornell University, 480 Uris Hall, Ithaca, NY 14853, USA. 2Center for Experimental Social Science, Department of Economics, New York University, 19 W. 4th Street, New York, NY 10012, USA. 3 Department of Applied Economics, Erasmus Universiteit Rotterdam, Post Box 1738, 3000 DR Rotterdam, Netherlands. 4 Department of Politics, New York University, 19 W. 4th Street, New York, NY 10012, USA. 5 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE- 171 77 Stockholm, Sweden. 6 Department of Psychology, Union College, 807 Union Street, Schenectady, NY 12308, USA. 7 Department of Sociology, New York University, Department of Sociology, New York University, 295 Lafayette Street, 4th floor, New York, NY 10012, USA. 8 Department of Economics, Harvard University, Littauer Center, 1805 Cambridge Street, Cambridge, MA 02138, USA. 9 Department of Economics, Stockholm School of Economics, Box 6501, SE-113 83 Stockholm, Sweden. 10 University of Queensland Diamantina Institute, Level 4, R Wing, Princess Alexandra Hospital, Ipswich Road, Woolloongabba 4102, Australia. Classification: Social Sciences; Economic Sciences; Social Sciences; Political Sciences; Biological Sciences; Genetics. Manuscript information: 12 text pages, 1 Figure, 2 Tables. *To whom correspondence should be addressed: phone: +1 607 255 2355. E-mail: [email protected]. 2 Abstract: Preferences are fundamental constructs in all models of economic and political behavior and important precursors to many lifetime outcomes. -
Is There a Genetic Correlation Between General Factors of Intelligence and Personality?
Twin Research and Human Genetics Volume 18 Number 3 pp. 234–242 C The Author(s) 2015 doi:10.1017/thg.2015.28 Is There a Genetic Correlation Between General Factors of Intelligence and Personality? John C. Loehlin,1 Meike Bartels,2 Dorret I. Boomsma,2 Denis Bratko,3 Nicholas G. Martin,4 Robert C. Nichols,5 and Margaret J. Wright4 1Psychology Department, University of Texas, Austin, Texas, USA 2Department of Biological Psychology, VU University, Amsterdam, the Netherlands 3Department of Psychology, Faculty of Social Sciences and Humanities, University of Zagreb, Zagreb, Croatia 4QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia 5Jamul, CA, USA We tested a hypothesis that there is no genetic correlation between general factors of intelligence and personality, despite both having been selected for in human evolution. This was done using twin samples from Australia, the United States, the Netherlands, Great Britain, and Croatia, comprising altogether 1,748 monozygotic and 1,329 same-sex dizygotic twin pairs. Although parameters in the model-fitting differed among the twin samples, the genetic correlation between the two general factors could be set to zero, with a better fit if the U.S. sample was excepted. Keywords: general factor of intelligence, general factor of personality, heritability, mutation-selection balance, life history theory, twins The concept of hierarchical structure in the domains of in- artifact (Backstr¨ om¨ et al. 2009; Pettersson et al., 2012)or telligence and personality, featuring a single general factor declared it to be psychometrically weak (Revelle & Wilt, at the top, have been controversial ever since general fac- 2013). However, in one study, partialing out self-esteem or tors were advocated early in the 20th century by Spearman social desirability measures did not greatly reduce a GFP (1904)andWebb(1915). -
An Atlas of Genetic Correlations Across Human Diseases and Traits
An Atlas of Genetic Correlations across Human Diseases and Traits The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Bulik-Sullivan, B., H. K. Finucane, V. Anttila, A. Gusev, F. R. Day, P. Loh, L. Duncan, et al. 2015. “An Atlas of Genetic Correlations across Human Diseases and Traits.” Nature genetics 47 (11): 1236-1241. doi:10.1038/ng.3406. http://dx.doi.org/10.1038/ng.3406. Published Version doi:10.1038/ng.3406 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:27320469 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author Manuscript Author ManuscriptNat Genet Author Manuscript. Author manuscript; Author Manuscript available in PMC 2016 May 01. Published in final edited form as: Nat Genet. 2015 November ; 47(11): 1236–1241. doi:10.1038/ng.3406. An Atlas of Genetic Correlations across Human Diseases and Traits Brendan Bulik-Sullivan1,2,3,*, Hilary K Finucane4,*, Verneri Anttila1,2,3, Alexander Gusev5,6, Felix R. Day7, Po-Ru Loh1,5, ReproGen Consortium8, Psychiatric Genomics Consortium8, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 38, Laramie Duncan1,2,3, John R.B. Perry7, Nick Patterson1, Elise B. Robinson1,2,3, Mark J. Daly1,2,3, Alkes L. Price1,5,6,**, and Benjamin M. -
To What Extent Does the Heritability Of
1 Bonamy R. Oliver & Alison Pike University of Sussex 'To what extent does the heritability of known features of development such as intelligence limit the potential of policy that attempts to lessen intergenerational inequalities such as early intervention, social mobility, child poverty or the social class attainment gap'. In the current report, we argue that the extent to which aspects of human development are heritable has little impact on the importance of policy that aims to ameliorate the adverse effects of environmental or intergenerational inequalities. We first address common misconceptions about heritability and behavioural genetics that can lead to inappropriate assertions about research findings and their implications for policy. We then move to demonstrate our vision of what behavioural genetics can offer early intervention science and attempts to lessen intergenerational inequality. What is behavioural genetics? Behavioural genetic research uses a variety of quasi-experimental designs to understand the role of genetic and environmental influence on variation in psychological traits such as general intelligence (e.g., Deary, Johnson, & Houlihan, 2009), disruptive behaviour (e.g., Rhee, & Waldman, 2002), and well-being (e.g., Bartels, 2015). The extent to which variance in a given trait is explained by genetic variance is termed ‘heritability’, and is explained further below. Shared environmental influences refer to experiences that contribute to sibling similarity, while non- shared environmental influences refer to differences in experience that contribute to differences between siblings in a family. The most common of these research designs are twin and adoption 2 studies. The twin design compares monozygotic (MZ: ‘identical’) and dizygotic (DZ: fraternal, ‘not identical’) twin similarity for specific psychological traits. -
Genetic Correlations Reveal the Shared Genetic Architecture of Transcription in Human Peripheral Blood
Hemani, G. (2017). Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood. Nature Communications, 8, [483]. https://doi.org/10.1038/s41467-017-00473- z Publisher's PDF, also known as Version of record License (if available): CC BY Link to published version (if available): 10.1038/s41467-017-00473-z Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via Nature Publishing Group at https://www.nature.com/articles/s41467-017-00473-z . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ ARTICLE DOI: 10.1038/s41467-017-00473-z OPEN Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood Samuel W. Lukowski 1, Luke R. Lloyd-Jones1,2, Alexander Holloway2, Holger Kirsten3,4, Gibran Hemani 5,6, Jian Yang 1,2, Kerrin Small 7, Jing Zhao8, Andres Metspalu9, Emmanouil T. Dermitzakis10, Greg Gibson 8, Timothy D. Spector7, Joachim Thiery4,11, Markus Scholz 3,4, Grant W. Montgomery1,12, Tonu Esko 9, Peter M. Visscher 1,2 & Joseph E. Powell1,2 Transcript co-expression is regulated by a combination of shared genetic and environmental factors. Here, we estimate the proportion of co-expression that is due to shared genetic variance. -
Cognitive Ageing and Cognitive Epidemiology
Centre for Cognitive Ageing and Cognitive Epidemiology Cognitive decline is the single most feared aspect of growing old. It is also the most costly, in terms of the financial, the personal and societal burden. Many organisations—governmental, academic, research-funding, professional and charitable—have announced that is has to be addressed, that too little progress has been made in the field, and that more integrated research is needed to understand the mechanisms of cognitive ageing . The University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology will answer this call directly by working on identifying the risk factors for, and mechanisms of, individual differences in age-related cognitive decline—cognitive ageing—and its relationship to morbidity and mortality in later life—cognitive epidemiology. The Centre’s objectives The Centre will initially run from 2008 to 2013. It will enhance the University of Edinburgh’s research on lifelong health and wellbeing, especially with regard to cognition. It will have a doctoral training programme and clinical research fellowship. The Centre’s objectives are: • To explore lifecourse influences on cognitive ageing and pathways whereby cognitive ability in early life affects later health—cognitive epidemiology. As a contribution to this it will maintain, develop and exploit the unique long-term human cohort studies assembled in Scotland as new national resources. • To advance knowledge by research into biological, neurological, genetic, social, economic, and psychological aspects of cognitive ageing in humans and lifecourse mammalian model systems. • To develop and evaluate methods in psychological, genetic, other biological, and brain imaging science to assess, monitor, and prevent or ameliorate decline in mental functions with a view to providing a rational basis for translating this into potential interventions. -
Heritability Estimates and Genetic Correlation for Growth Traits and LCDV Susceptibility in Gilthead Sea Bream (Sparus Aurata)
fishes Article Heritability Estimates and Genetic Correlation for Growth Traits and LCDV Susceptibility in Gilthead Sea Bream (Sparus aurata) Carlos Carballo 1,2, Hyun Suk Shin 3, Concepción Berbel 1, Maria Jesús Zamorano 3, Juan Jose Borrego 2 , Eva Armero 4, Juan Manuel Afonso 3 and Manuel Manchado 1,5,* 1 IFAPA Centro El Toruño, Junta de Andalucía, Camino Tiro Pichón s/n, 11500 El Puerto de Santa María, Cádiz, Spain; [email protected] (C.C.); [email protected] (C.B.) 2 Departamento de Microbiología, Campus de teatinos, Universidad de Málaga, 29071 Málaga, Spain; [email protected] 3 Aquaculture Research Group (GIA), IU-ECOAQUA, Universidad de Las Palmas de Gran Canaria, Crta. Taliarte s/n, 35214 Telde, Spain; [email protected] (H.S.S.); [email protected] (M.J.Z.); [email protected] (J.M.A.) 4 Animal Production group, Universidad Politecnica de Cartagena, Paseo Alfonso XIII, 48, 30203 Cartagena, Spain; [email protected] 5 “Crecimiento Azul”, Centro IFAPA El Toruño, Unidad Asociada al CSIC”, 11500 El Puerto de Santa María, Cádiz, Spain * Correspondence: [email protected]; Tel.: +34-671-532-088 Received: 26 October 2019; Accepted: 19 December 2019; Published: 25 December 2019 Abstract: The lymphocystis disease (LCD) is a viral infection with a high economic impact in gilthead sea bream aquaculture. In this study, genetic estimates associated with lymphocystis disease virus (LCDV) disease susceptibility and growth were determined in sea bream juveniles. Two fish batches (named batch 1 and batch 2) were built from mass spawning and reared under industrial conditions until disease outbreak.