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Showing papers by "James J. Lee published in 2019"


Journal ArticleDOI
Richard Karlsson Linnér1, Richard Karlsson Linnér2, Pietro Biroli3, Edward Kong4, S. Fleur W. Meddens2, S. Fleur W. Meddens1, Robbee Wedow, Mark Alan Fontana5, Mark Alan Fontana6, Maël Lebreton7, Stephen P. Tino8, Abdel Abdellaoui2, Anke R. Hammerschlag2, Michel G. Nivard2, Aysu Okbay2, Cornelius A. Rietveld1, Pascal Timshel9, Pascal Timshel10, Maciej Trzaskowski11, Ronald de Vlaming1, Ronald de Vlaming2, Christian L. Zund3, Yanchun Bao12, Laura Buzdugan13, Laura Buzdugan3, Ann H. Caplin, Chia-Yen Chen14, Chia-Yen Chen4, Peter Eibich15, Peter Eibich16, Peter Eibich17, Pierre Fontanillas, Juan R. González18, Peter K. Joshi19, Ville Karhunen20, Aaron Kleinman, Remy Z. Levin21, Christina M. Lill22, Gerardus A. Meddens, Gerard Muntané18, Gerard Muntané23, Sandra Sanchez-Roige21, Frank J. A. van Rooij1, Erdogan Taskesen2, Yang Wu11, Futao Zhang11, Adam Auton, Jason D. Boardman24, David W. Clark19, Andrew Conlin20, Conor C. Dolan2, Urs Fischbacher25, Patrick J. F. Groenen1, Kathleen Mullan Harris26, Gregor Hasler27, Albert Hofman4, Albert Hofman1, Mohammad Arfan Ikram1, Sonia Jain21, Robert Karlsson28, Ronald C. Kessler4, Maarten Kooyman, James MacKillop29, James MacKillop30, Minna Männikkö20, Carlos Morcillo-Suarez18, Matthew B. McQueen24, Klaus M. Schmidt31, Melissa C. Smart12, Matthias Sutter32, Matthias Sutter33, Matthias Sutter16, Roy Thurik1, André G. Uitterlinden1, Jon White34, Harriet de Wit35, Jian Yang11, Lars Bertram36, Lars Bertram22, Dorret I. Boomsma2, Tõnu Esko37, Ernst Fehr3, David A. Hinds, Magnus Johannesson38, Meena Kumari12, David Laibson4, Patrik K. E. Magnusson28, Michelle N. Meyer39, Arcadi Navarro40, Arcadi Navarro18, Abraham A. Palmer21, Tune H. Pers9, Tune H. Pers10, Danielle Posthuma2, Daniel Schunk41, Murray B. Stein21, Rauli Svento20, Henning Tiemeier1, Paul R. H. J. Timmers19, Patrick Turley14, Patrick Turley4, Patrick Turley42, Robert J. Ursano43, Gert G. Wagner16, Gert G. Wagner17, James F. Wilson19, James F. Wilson44, Jacob Gratten11, Jacob Gratten45, James J. Lee46, David Cesarini47, Daniel J. Benjamin42, Daniel J. Benjamin48, Philipp Koellinger2, Philipp Koellinger17, Jonathan P. Beauchamp8 
TL;DR: This paper found evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of their other GWAS, and general risk-tolerance is genetically correlated with a range of risky behaviors.
Abstract: Humans vary substantially in their willingness to take risks. In a combined sample of over 1 million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. Across all GWAS, we identified hundreds of associated loci, including 99 loci associated with general risk tolerance. We report evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is genetically correlated ([Formula: see text] ~ 0.25 to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near SNPs associated with general risk tolerance are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We found no evidence of enrichment for genes previously hypothesized to relate to risk tolerance.

395 citations


01 Jan 2019
TL;DR: A genetic study identifies hundreds of loci associated with risk tolerance and risky behaviors, finds evidence of substantial shared genetic influences across these phenotypes, and implicates genes involved in neurotransmission.

175 citations


Posted ContentDOI
Richard Karlsson Linnér1, Richard Karlsson Linnér2, Pietro Biroli3, Edward Kong4, S. Fleur W. Meddens2, S. Fleur W. Meddens1, Robbee Wedow5, Mark Alan Fontana6, Mark Alan Fontana7, Maël Lebreton8, Abdel Abdellaoui2, Anke R. Hammerschlag2, Michel G. Nivard2, Aysu Okbay2, Cornelius A. Rietveld1, Pascal Timshel9, Pascal Timshel10, Stephen P. Tino11, Maciej Trzaskowski12, Ronald de Vlaming2, Ronald de Vlaming1, Christian L. Zund3, Yanchun Bao13, Laura Buzdugan3, Ann H. Caplin, Chia-Yen Chen14, Chia-Yen Chen4, Peter Eibich15, Peter Eibich16, Peter Eibich17, Pierre Fontanillas, Juan R. González18, Peter K. Joshi19, Ville Karhunen20, Aaron Kleinman, Remy Z. Levin21, Christina M. Lill22, Gerardus A. Meddens, Gerard Muntané18, Sandra Sanchez-Roige21, Frank J. A. van Rooij1, Erdogan Taskesen2, Yang Wu12, Futao Zhang12, Adam Auton, Jason D. Boardman5, David W. Clark19, Andrew Conlin20, Conor C. Dolan2, Urs Fischbacher23, Patrick J. F. Groenen1, Kathleen Mullan Harris24, Gregor Hasler25, Albert Hofman4, Albert Hofman1, Mohammad Arfan Ikram1, Sonia Jain21, Robert Karlsson26, Ronald C. Kessler4, Maarten Kooyman, James MacKillop27, Minna Männikkö20, Carlos Morcillo-Suarez18, Matthew B. McQueen5, Klaus M. Schmidt28, Melissa C. Smart13, Matthias Sutter17, Matthias Sutter29, Roy Thurik1, André G. Uitterlinden1, Jon White30, Harriet de Wit31, Jian Yang12, Lars Bertram32, Lars Bertram22, Dorret I. Boomsma2, Tõnu Esko33, Ernst Fehr3, David A. Hinds, Magnus Johannesson34, Meena Kumari13, David Laibson4, Patrik K. E. Magnusson26, Michelle N. Meyer35, Arcadi Navarro36, Arcadi Navarro18, Abraham A. Palmer21, Tune H. Pers9, Tune H. Pers10, Danielle Posthuma2, Daniel Schunk37, Murray B. Stein21, Rauli Svento20, Henning Tiemeier1, Paul R. H. J. Timmers19, Patrick Turley14, Patrick Turley4, Patrick Turley7, Robert J. Ursano38, Gert G. Wagner17, Gert G. Wagner16, James F. Wilson19, James F. Wilson39, Jacob Gratten12, James J. Lee40, David Cesarini41, Daniel J. Benjamin7, Daniel J. Benjamin42, Daniel J. Benjamin6, Philipp Koellinger16, Philipp Koellinger2, Jonathan P. Beauchamp11 
08 Jan 2019-bioRxiv
TL;DR: Bioinformatics analyses imply that genes near general-risk-tolerance-associated SNPs are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission.
Abstract: Humans vary substantially in their willingness to take risks. In a combined sample of over one million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. We identified 611 approximately independent genetic loci associated with at least one of our phenotypes, including 124 with general risk tolerance. We report evidence of substantial shared genetic influences across general risk tolerance and risky behaviors: 72 of the 124 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is moderately to strongly genetically correlated ( to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near general-risk-tolerance-associated SNPs are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We find no evidence of enrichment for genes previously hypothesized to relate to risk tolerance.

85 citations


Journal ArticleDOI
TL;DR: Findings give reason to take up the hypothesis that the dramatic increase in brain volume over the course of human evolution has been the result of natural selection favoring general intelligence.

44 citations


Journal ArticleDOI
TL;DR: It is found that lay estimates of genetic influence on these traits cluster into four distinct groups, which differentially predict beliefs about human agency, political orientation, and religiosity.
Abstract: The fact that genes and environment contribute differentially to variation in human behaviors, traits and attitudes is central to the field of behavior genetics. Perceptions about these differential contributions may affect ideas about human agency. We surveyed two independent samples (N = 301 and N = 740) to assess beliefs about free will, determinism, political orientation, and the relative contribution of genes and environment to 21 human traits. We find that lay estimates of genetic influence on these traits cluster into four distinct groups, which differentially predict beliefs about human agency, political orientation, and religiosity. Despite apparent ideological associations with these beliefs, the correspondence between mean lay estimates and published heritability estimates for the surveyed traits is large (r = .77). Belief in genetic determinism emerges as a modest predictor of accuracy in these lay estimates. Additionally, educated mothers with multiple children emerge as particularly accurate in their estimates of the genetic contribution to these traits.

22 citations


Journal ArticleDOI
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Abstract: In the version of the paper initially published, no competing interests were declared. The ‘Competing interests’ statement should have stated that B.M.N. is on the Scientific Advisory Board of Deep Genomics. The error has been corrected in the HTML and PDF versions of the article.

12 citations


Journal ArticleDOI
TL;DR: Based on the lower contamination risk, higher productivity, and cost efficiency, the ATF perfusion‐based TGE bioprocess can likely provide potential benefits to many future applications in vaccine and drug manufacturing.
Abstract: An alternating tangential flow (ATF) perfusion-based transient gene expression (TGE) bioprocess has been developed using human embryonic kidney (HEK) 293 cells to produce H1-ss-np, a promising candidate for a universal influenza vaccine. Two major adjustments were taken to improve the process: (1) eliminate the interference of microbubbles during gene transfection; and (2) utilize an ATF perfusion system for a prolonged culture period. As a result, a closed-operation 9-days ATF perfusion-based TGE bioprocess was developed. The TGE bioprocess showed continuous cell growth with high cell viability and prolonged cellular productivity that achieved recombinant product level of ~270 mg/L which was more than two times that of 4-days base-line TGE bioprocess. In addition, the consumables cost per milligram for ATF perfusion-based TGE bioprocess was ~70% lower than that of the base-line TGE bioprocess suggesting high cost savings potential in vaccine manufacturing. Based on the lower contamination risk, higher productivity, and cost efficiency, the ATF perfusion-based TGE bioprocess can likely provide potential benefits to many future applications in vaccine and drug manufacturing.

6 citations


Journal ArticleDOI
TL;DR: Fertility is a moderately heritable trait, where much of the genetic influences are shared with psychological characteristics, and empirical knowledge regarding the genetics of fertility must be an essential part of any framework for understanding past and ongoing trends in human adaptive evolution.
Abstract: Heritable variation in fitness-survival and reproduction-is the fuel of evolution by natural selection. Many human societies have dramatically reduced mortality before and during the prime reproductive years, making fertility a reasonably good proxy for the whole of fitness in much of our species. For this reason, empirical knowledge regarding the genetics of fertility must be an essential part of any framework for understanding past and ongoing trends in human adaptive evolution. Here we use R.A. Fisher's analysis of human fertility as a starting point and find strong support from more recent research for his main contentions: fertility is a moderately heritable trait, where much of the genetic influences are shared with psychological characteristics.

3 citations