| 1. |
- Jones, Benedict C, et al.
(författare)
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To which world regions does the valence-dominance model of social perception apply?
- 2021
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Ingår i: Nature Human Behaviour. - : Springer Science and Business Media LLC. - 2397-3374. ; 5:1, s. 159-169
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Tidskriftsartikel (refereegranskat)abstract
- Over the past 10 years, Oosterhof and Todorov's valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov's methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov's original analysis strategy, the valence-dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence-dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on 5 November 2018. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.7611443.v1 .
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| 2. |
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| 3. |
- Locke, Adam E, et al.
(författare)
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Genetic studies of body mass index yield new insights for obesity biology.
- 2015
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 518:7538, s. 197-401
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Tidskriftsartikel (refereegranskat)abstract
- Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
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| 4. |
- Miller, Corwin, et al.
(författare)
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Experimental evolution of adenylate kinase reveals contrasting strategies toward protein thermostability
- 2010
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Ingår i: Biophysical Journal. - : Elsevier BV. - 0006-3495 .- 1542-0086. ; 99:3, s. 887-896
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Tidskriftsartikel (refereegranskat)abstract
- Success in evolution depends critically upon the ability of organisms to adapt, a property that is also true for the proteins that contribute to the fitness of an organism. Successful protein evolution is enhanced by mutational pathways that generate a wide range of physicochemical mechanisms to adaptation. In an earlier study, we used a weak-link method to favor changes to an essential but maladapted protein, adenylate kinase (AK), within a microbial population. Six AK mutants (a single mutant followed by five double mutants) had success within the population, revealing a diverse range of adaptive strategies that included changes in nonpolar packing, protein folding dynamics, and formation of new hydrogen bonds and electrostatic networks. The first mutation, AK(BSUB) Q199R, was essential in defining the structural context that facilitated subsequent mutations as revealed by a considerable mutational epistasis and, in one case, a very strong dependence upon the order of mutations. Namely, whereas the single mutation AK(BSUB) G213E decreases protein stability by >25 degrees C, the same mutation in the background of AK(BSUB) Q199R increases stability by 3.4 degrees C, demonstrating that the order of mutations can play a critical role in favoring particular molecular pathways to adaptation. In turn, protein folding kinetics shows that four of the five AK(BSUB) double mutants utilize a strategy in which an increase in the folding rate accompanied by a decrease in the unfolding rate results in additional stability. However, one mutant exhibited a dramatic increase in the folding relative to a modest increase in the unfolding rate, suggesting a different adaptive strategy for thermostability. In all cases, an increase in the folding rates for the double mutants appears to be the preferred mechanism in conferring additional stability and may be an important aspect of protein evolution. The range of overlapping as well as contrasting strategies for success illustrates both the power and subtlety of adaptation at even the smallest unit of change, a single amino acid.
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| 5. |
- O’Sullivan, John F., et al.
(författare)
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Dimethylguanidino valeric acid is a marker of liver fat and predicts diabetes
- 2017
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Ingår i: Journal of Clinical Investigation. - 0021-9738. ; 127:12, s. 4394-4402
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Tidskriftsartikel (refereegranskat)abstract
- Unbiased, “nontargeted” metabolite profiling techniques hold considerable promise for biomarker and pathway discovery, in spite of the lack of successful applications to human disease. By integrating nontargeted metabolomics, genetics, and detailed human phenotyping, we identified dimethylguanidino valeric acid (DMGV) as an independent biomarker of CT-defined nonalcoholic fatty liver disease (NAFLD) in the offspring cohort of the Framingham Heart Study (FHS) participants. We verified the relationship between DMGV and early hepatic pathology. Specifically, plasma DMGV levels were correlated with biopsy-proven nonalcoholic steatohepatitis (NASH) in a hospital cohort of individuals undergoing gastric bypass surgery, and DMGV levels fell in parallel with improvements in post-procedure cardiometabolic parameters. Further, baseline DMGV levels independently predicted future diabetes up to 12 years before disease onset in 3 distinct human cohorts. Finally, we provide all metabolite peak data consisting of known and unidentified peaks, genetics, and key metabolic parameters as a publicly available resource for investigations in cardiometabolic diseases.
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