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Pasman JA, Demange PA, Guloksuz S, Willemsen AHM, Abdellaoui A, Ten Have M, Hottenga JJ, Boomsma DI, de Geus E, Bartels M, de Graaf R, Verweij KJH, Smit DJ, Nivard M, Vink JM. Genetic Risk for Smoking: Disentangling Interplay Between Genes and Socioeconomic Status. Behav Genet 2022; 52:92-107. [PMID: 34855049 PMCID: PMC8860781 DOI: 10.1007/s10519-021-10094-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 11/10/2021] [Indexed: 11/15/2022]
Abstract
This study aims to disentangle the contribution of genetic liability, educational attainment (EA), and their overlap and interaction in lifetime smoking. We conducted genome-wide association studies (GWASs) in UK Biobank (N = 394,718) to (i) capture variants for lifetime smoking, (ii) variants for EA, and (iii) variants that contribute to lifetime smoking independently from EA ('smoking-without-EA'). Based on the GWASs, three polygenic scores (PGSs) were created for individuals from the Netherlands Twin Register (NTR, N = 17,805) and the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2, N = 3090). We tested gene-environment (G × E) interactions between each PGS, neighborhood socioeconomic status (SES) and EA on lifetime smoking. To assess if the PGS effects were specific to smoking or had broader implications, we repeated the analyses with measures of mental health. After subtracting EA effects from the smoking GWAS, the SNP-based heritability decreased from 9.2 to 7.2%. The genetic correlation between smoking and SES characteristics was reduced, whereas overlap with smoking traits was less affected by subtracting EA. The PGSs for smoking, EA, and smoking-without-EA all predicted smoking. For mental health, only the PGS for EA was a reliable predictor. There were suggestions for G × E for some relationships, but there were no clear patterns per PGS type. This study showed that the genetic architecture of smoking has an EA component in addition to other, possibly more direct components. PGSs based on EA and smoking-without-EA had distinct predictive profiles. This study shows how disentangling different models of genetic liability and interplay can contribute to our understanding of the etiology of smoking.
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Affiliation(s)
- Joëlle A Pasman
- Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, PO Box 281, 171 77, Stockholm, Sweden.
| | - Perline A Demange
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - A H M Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Abdel Abdellaoui
- Department of Psychiatry, Amsterdam UMC, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands
| | - Margreet Ten Have
- Trimbos-Instituut, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Eco de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ron de Graaf
- Trimbos-Instituut, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Karin J H Verweij
- Department of Psychiatry, Amsterdam UMC, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands
| | - Dirk J Smit
- Department of Psychiatry, Amsterdam UMC, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands
| | - Michel Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Jacqueline M Vink
- Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands
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Abstract
Liquid-crystalline polymer particles prepared by classical polymerization techniques are receiving increased attention as promising candidates for use in a variety of applications including micro-actuators, structurally colored objects, and absorbents. These particles have anisotropic molecular order and liquid-crystalline phases that distinguish them from conventional polymer particles. In this minireview, the preparation of liquid-crystalline polymer particles from classical suspension, (mini-)emulsion, dispersion, and precipitation polymerization reactions are discussed. The particle sizes, molecular orientations, and liquid-crystalline phases produced by each technique are summarized and compared. We conclude with a discussion of the challenges and prospects of the preparation of liquid-crystalline polymer particles by classical polymerization techniques.
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Affiliation(s)
- Xiaohong Liu
- Department of Chemical Engineering and ChemistryEindhoven University of TechnologyPO Box 5135600 MBEindhovenThe Netherlands
- Institute for Complex Molecular SystemsEindhoven University of TechnologyPO Box 5135600 MBEindhovenThe Netherlands
| | - Michael G. Debije
- Department of Chemical Engineering and ChemistryEindhoven University of TechnologyPO Box 5135600 MBEindhovenThe Netherlands
| | - Johan P. A. Heuts
- Department of Chemical Engineering and ChemistryEindhoven University of TechnologyPO Box 5135600 MBEindhovenThe Netherlands
- Institute for Complex Molecular SystemsEindhoven University of TechnologyPO Box 5135600 MBEindhovenThe Netherlands
| | - Albert P. H. J. Schenning
- Department of Chemical Engineering and ChemistryEindhoven University of TechnologyPO Box 5135600 MBEindhovenThe Netherlands
- Institute for Complex Molecular SystemsEindhoven University of TechnologyPO Box 5135600 MBEindhovenThe Netherlands
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Majolée J, Podieh F, Hordijk PL, Kovačević I. The interplay of Rac1 activity, ubiquitination and GDI binding and its consequences for endothelial cell spreading. PLoS One 2021; 16:e0254386. [PMID: 34252134 PMCID: PMC8274835 DOI: 10.1371/journal.pone.0254386] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 06/24/2021] [Indexed: 11/19/2022] Open
Abstract
Signaling by the Rho GTPase Rac1 is key to the regulation of cytoskeletal dynamics, cell spreading and adhesion. It is widely accepted that the inactive form of Rac1 is bound by Rho GDI, which prevents Rac1 activation and Rac1-effector interactions. In addition, GDI-bound Rac1 is protected from proteasomal degradation, in line with data showing that Rac1 ubiquitination occurs exclusively when Rac1 is activated. We set out to investigate how Rac1 activity, GDI binding and ubiquitination are linked. We introduced single amino acid mutations in Rac1 which differentially altered Rac1 activity, and compared whether the level of Rac1 activity relates to Rac1 ubiquitination and GDI binding. Results show that Rac1 ubiquitination and the active Rac1 morphology is proportionally increased with Rac1 activity. Similarly, we introduced lysine-to-arginine mutations in constitutively active Rac1 to inhibit site-specific ubiquitination and analyze this effect on Rac1 signaling output and ubiquitination. These data show that the K16R mutation inhibits GTP binding, and consequently Rac1 activation, signaling and-ubiquitination, while the K147R mutation does not block Rac1 signaling, but does inhibits its ubiquitination. In both sets of mutants, no direct correlation was observed between GDI binding and Rac1 activity or -ubiquitination. Taken together, our data show that a strong, positive correlation exists between Rac1 activity and its level of ubiquitination, but also that GDI dissociation does not predispose Rac1 to ubiquitination.
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Affiliation(s)
- Jisca Majolée
- Department of Physiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Fabienne Podieh
- Department of Physiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Peter L. Hordijk
- Department of Physiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Igor Kovačević
- Department of Physiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Department of Gene Regulation, Institute of Physiological Chemistry, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
- * E-mail:
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