2020 |
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Nicholas Judd, Bruno Sauce, John Wiedenhoeft, Jeshua Tromp, Bader Chaarani, Alexander Schliep, Betteke van Noort, Jani Penttilä, Yvonne Grimmer, Corinna Insensee, Andreas Becker, Tobias Banaschewski, Arun L W Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H Fröhner, Michael N Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Hugh Garavan, Torkel Klingberg Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment Journal Article Proceedings of the National Academy of Sciences, 117 (22), pp. 12411–12418, 2020, ISSN: 0027-8424. @article{Judd2020, title = {Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment}, author = {Nicholas Judd and Bruno Sauce and John Wiedenhoeft and Jeshua Tromp and Bader Chaarani and Alexander Schliep and Betteke van Noort and Jani Penttilä and Yvonne Grimmer and Corinna Insensee and Andreas Becker and Tobias Banaschewski and Arun L W Bokde and Erin Burke Quinlan and Sylvane Desrivi{è}res and Herta Flor and Antoine Grigis and Penny Gowland and Andreas Heinz and Bernd Ittermann and Jean-Luc Martinot and Marie-Laure {Paill{è}re Martinot} and Eric Artiges and Frauke Nees and Dimitri {Papadopoulos Orfanos} and Tomáš Paus and Luise Poustka and Sarah Hohmann and Sabina Millenet and Juliane H Fröhner and Michael N Smolka and Henrik Walter and Robert Whelan and Gunter Schumann and Hugh Garavan and Torkel Klingberg}, url = {http://www.pnas.org/lookup/doi/10.1073/pnas.2001228117}, doi = {10.1073/pnas.2001228117}, issn = {0027-8424}, year = {2020}, date = {2020-06-01}, journal = {Proceedings of the National Academy of Sciences}, volume = {117}, number = {22}, pages = {12411--12418}, abstract = {Genetic factors and socioeconomic status (SES) inequalities play a large role in educational attainment, and both have been associated with variations in brain structure and cognition. However, genetics and SES are correlated, and no prior study has assessed their neural associations independently. Here we used a polygenic score for educational attainment (EduYears-PGS), as well as SES, in a longitudinal study of 551 adolescents to tease apart genetic and environmental associations with brain development and cognition. Subjects received a structural MRI scan at ages 14 and 19. At both time points, they performed three working memory (WM) tasks. SES and EduYears-PGS were correlated ( r = 0.27) and had both common and independent associations with brain structure and cognition. Specifically, lower SES was related to less total cortical surface area and lower WM. EduYears-PGS was also related to total cortical surface area, but in addition had a regional association with surface area in the right parietal lobe, a region related to nonverbal cognitive functions, including mathematics, spatial cognition, and WM. SES, but not EduYears-PGS, was related to a change in total cortical surface area from age 14 to 19. This study demonstrates a regional association of EduYears-PGS and the independent prediction of SES with cognitive function and brain development. It suggests that the SES inequalities, in particular parental education, are related to global aspects of cortical development, and exert a persistent influence on brain development during adolescence.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Genetic factors and socioeconomic status (SES) inequalities play a large role in educational attainment, and both have been associated with variations in brain structure and cognition. However, genetics and SES are correlated, and no prior study has assessed their neural associations independently. Here we used a polygenic score for educational attainment (EduYears-PGS), as well as SES, in a longitudinal study of 551 adolescents to tease apart genetic and environmental associations with brain development and cognition. Subjects received a structural MRI scan at ages 14 and 19. At both time points, they performed three working memory (WM) tasks. SES and EduYears-PGS were correlated ( r = 0.27) and had both common and independent associations with brain structure and cognition. Specifically, lower SES was related to less total cortical surface area and lower WM. EduYears-PGS was also related to total cortical surface area, but in addition had a regional association with surface area in the right parietal lobe, a region related to nonverbal cognitive functions, including mathematics, spatial cognition, and WM. SES, but not EduYears-PGS, was related to a change in total cortical surface area from age 14 to 19. This study demonstrates a regional association of EduYears-PGS and the independent prediction of SES with cognitive function and brain development. It suggests that the SES inequalities, in particular parental education, are related to global aspects of cortical development, and exert a persistent influence on brain development during adolescence. | |
2017 |
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Fahimeh Darki, Satu Massinen, Elina Salmela, Hans Matsson, Myriam Peyrard-Janvid, Torkel Klingberg, Juha Kere Human ROBO1 regulates white matter structure in corpus callosum Journal Article Brain Structure and Function, 222 (2), pp. 707–716, 2017, ISSN: 18632661. @article{Darki2017, title = {Human ROBO1 regulates white matter structure in corpus callosum}, author = {Fahimeh Darki and Satu Massinen and Elina Salmela and Hans Matsson and Myriam Peyrard-Janvid and Torkel Klingberg and Juha Kere}, doi = {10.1007/s00429-016-1240-y}, issn = {18632661}, year = {2017}, date = {2017-01-01}, journal = {Brain Structure and Function}, volume = {222}, number = {2}, pages = {707--716}, publisher = {Springer Berlin Heidelberg}, abstract = {textcopyright 2016, The Author(s). The axon guidance receptor, Robo1, controls the pathfinding of callosal axons in mice. To determine whether the orthologous ROBO1 gene is involved in callosal development also in humans, we studied polymorphisms in the ROBO1 gene and variation in the white matter structure in the corpus callosum using both structural magnetic resonance imaging and diffusion tensor magnetic resonance imaging. We found that five polymorphisms in the regulatory region of ROBO1 were associated with white matter density in the posterior part of the corpus callosum pathways. One of the polymorphisms, rs7631357, was also significantly associated with the probability of connections to the parietal cortical regions. Our results demonstrate that human ROBO1 may be involved in the regulation of the structure and connectivity of posterior part of corpus callosum.}, keywords = {}, pubstate = {published}, tppubtype = {article} } textcopyright 2016, The Author(s). The axon guidance receptor, Robo1, controls the pathfinding of callosal axons in mice. To determine whether the orthologous ROBO1 gene is involved in callosal development also in humans, we studied polymorphisms in the ROBO1 gene and variation in the white matter structure in the corpus callosum using both structural magnetic resonance imaging and diffusion tensor magnetic resonance imaging. We found that five polymorphisms in the regulatory region of ROBO1 were associated with white matter density in the posterior part of the corpus callosum pathways. One of the polymorphisms, rs7631357, was also significantly associated with the probability of connections to the parietal cortical regions. Our results demonstrate that human ROBO1 may be involved in the regulation of the structure and connectivity of posterior part of corpus callosum. |
2020 |
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Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment Journal Article Proceedings of the National Academy of Sciences, 117 (22), pp. 12411–12418, 2020, ISSN: 0027-8424. | |
2017 |
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Human ROBO1 regulates white matter structure in corpus callosum Journal Article Brain Structure and Function, 222 (2), pp. 707–716, 2017, ISSN: 18632661. |