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Personality Polygenes, Positive Affect, and Life Satisfaction
- Alexander Weiss, Bart M. L. Baselmans, Edith Hofer, Jingyun Yang, Aysu Okbay, Penelope A. Lind, Mike B. Miller, Ilja M. Nolte, Wei Zhao, Saskia P. Hagenaars, Jouke-Jan Hottenga, Lindsay K. Matteson, Harold Snieder, Jessica D. Faul, Catharina A. Hartman, Patricia A. Boyle, Henning Tiemeier, Miriam A. Mosing, Alison Pattie, Gail Davies, David C. Liewald, Reinhold Schmidt, Philip L. De Jager, Andrew C. Heath, Markus Jokela, John M. Starr, Albertine J. Oldehinkel, Magnus Johannesson, David Cesarini, Albert Hofman, Sarah E. Harris, Jennifer A. Smith, Liisa Keltikangas-Järvinen, Laura Pulkki-Råback, Helena Schmidt, Jacqui Smith, William G. Iacono, Matt McGue, David A. Bennett, Nancy L. Pedersen, Patrik K. E. Magnusson, Ian J. Deary, Nicholas G. Martin, Dorret I. Boomsma, Meike Bartels, Michelle Luciano
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- Journal:
- Twin Research and Human Genetics / Volume 19 / Issue 5 / October 2016
- Published online by Cambridge University Press:
- 22 August 2016, pp. 407-417
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- Article
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Approximately half of the variation in wellbeing measures overlaps with variation in personality traits. Studies of non-human primate pedigrees and human twins suggest that this is due to common genetic influences. We tested whether personality polygenic scores for the NEO Five-Factor Inventory (NEO-FFI) domains and for item response theory (IRT) derived extraversion and neuroticism scores predict variance in wellbeing measures. Polygenic scores were based on published genome-wide association (GWA) results in over 17,000 individuals for the NEO-FFI and in over 63,000 for the IRT extraversion and neuroticism traits. The NEO-FFI polygenic scores were used to predict life satisfaction in 7 cohorts, positive affect in 12 cohorts, and general wellbeing in 1 cohort (maximal N = 46,508). Meta-analysis of these results showed no significant association between NEO-FFI personality polygenic scores and the wellbeing measures. IRT extraversion and neuroticism polygenic scores were used to predict life satisfaction and positive affect in almost 37,000 individuals from UK Biobank. Significant positive associations (effect sizes <0.05%) were observed between the extraversion polygenic score and wellbeing measures, and a negative association was observed between the polygenic neuroticism score and life satisfaction. Furthermore, using GWA data, genetic correlations of -0.49 and -0.55 were estimated between neuroticism with life satisfaction and positive affect, respectively. The moderate genetic correlation between neuroticism and wellbeing is in line with twin research showing that genetic influences on wellbeing are also shared with other independent personality domains.
Critical review evaluating the pig as a model for human nutritional physiology
- Eugeni Roura, Sietse-Jan Koopmans, Jean-Paul Lallès, Isabelle Le Huerou-Luron, Nadia de Jager, Teun Schuurman, David Val-Laillet
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- Journal:
- Nutrition Research Reviews / Volume 29 / Issue 1 / June 2016
- Published online by Cambridge University Press:
- 13 May 2016, pp. 60-90
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The present review examines the pig as a model for physiological studies in human subjects related to nutrient sensing, appetite regulation, gut barrier function, intestinal microbiota and nutritional neuroscience. The nutrient-sensing mechanisms regarding acids (sour), carbohydrates (sweet), glutamic acid (umami) and fatty acids are conserved between humans and pigs. In contrast, pigs show limited perception of high-intensity sweeteners and NaCl and sense a wider array of amino acids than humans. Differences on bitter taste may reflect the adaptation to ecosystems. In relation to appetite regulation, plasma concentrations of cholecystokinin and glucagon-like peptide-1 are similar in pigs and humans, while peptide YY in pigs is ten to twenty times higher and ghrelin two to five times lower than in humans. Pigs are an excellent model for human studies for vagal nerve function related to the hormonal regulation of food intake. Similarly, the study of gut barrier functions reveals conserved defence mechanisms between the two species particularly in functional permeability. However, human data are scant for some of the defence systems and nutritional programming. The pig model has been valuable for studying the changes in human microbiota following nutritional interventions. In particular, the use of human flora-associated pigs is a useful model for infants, but the long-term stability of the implanted human microbiota in pigs remains to be investigated. The similarity of the pig and human brain anatomy and development is paradigmatic. Brain explorations and therapies described in pig, when compared with available human data, highlight their value in nutritional neuroscience, particularly regarding functional neuroimaging techniques.
Chapter 11 - Policy, Financing and Implementation
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- By Catherine Mitchell, Janet L. Sawin, Govind R. Pokharel, Daniel Kammen, Zhongying Wang, Solomone Fifita, Mark Jaccard, Ole Langniss, Hugo Lucas, Alain Nadai, Ramiro Trujillo Blanco, Eric Usher, Aviel Verbruggen, Rolf Wüstenhagen, Kaoru Yamaguchi, Douglas Arent, Greg Arrowsmith, Morgan Bazilian, Lori Bird, Thomas Boermans, Alex Bowen, Sylvia Breukers, Thomas Bruckner, Sebastian Busch, Elisabeth Clemens, Peter Connor, Felix Creutzig, Peter Droege, Karin Ericsson, Chris Greacen, Renata Grisoli, Erik Haites, Kirsty Hamilton, Jochen Harnisch, Cameron Hepburn, Suzanne Hunt, Matthias Kalkuhl, Heleen de Koninck, Patrick Lamers, Birger Madsen, Gregory Nemet, Lars J. Nilsson, Supachai Panitchpakdi, David Popp, Anis Radzi, Gustav Resch, Sven Schimschar, Kristin Seyboth, Sergio Trindade, Bernhard Truffer, Sarah Truitt, Dan van der Horst, Saskia Vermeylen, Charles Wilson, Ryan Wiser, David de Jager, Antonina Ivanova Boncheva
- Edited by Ottmar Edenhofer, Ramón Pichs-Madruga, Youba Sokona, Kristin Seyboth, Susanne Kadner, Timm Zwickel, Patrick Eickemeier, Gerrit Hansen, Steffen Schlömer, Christoph von Stechow, Patrick Matschoss
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- Book:
- Renewable Energy Sources and Climate Change Mitigation
- Published online:
- 05 December 2011
- Print publication:
- 21 November 2011, pp 865-950
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Summary
Executive Summary
Renewable energy can provide a host of benefits to society. In addition to the reduction of carbon dioxide (CO2) emissions, governments have enacted renewable energy (RE) policies to meet a number of objectives including the creation of local environmental and health benefits; facilitation of energy access, particularly for rural areas; advancement of energy security goals by diversifying the portfolio of energy technologies and resources; and improving social and economic development through potential employment opportunities. Energy access and social and economic development have been the primary drivers in developing countries whereas ensuring a secure energy supply and environmental concerns have been most important in developed countries.
An increasing number and variety of RE policies–motivated by a variety of factors–have driven substantial growth of RE technologies in recent years. Government policies have played a crucial role in accelerating the deployment of RE technologies. At the same time, not all RE policies have proven effective and efficient in rapidly or substantially increasing RE deployment. The focus of policies is broadening from a concentration almost entirely on RE electricity to include RE heating and cooling and transportation.
RE policies have promoted an increase in RE capacity installations by helping to overcome various barriers. Barriers specific to RE policymaking (e.g., a lack of information and awareness), to implementation (e.g., a lack of an educated and trained workforce to match developing RE technologies) and to financing (e.g., market failures) may further impede deployment of RE.