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Cabana-Domínguez J, Bosch R, Soler Artigas M, Alemany S, Llonga N, Vilar-Ribó L, Carabí-Gassol P, Arribas L, Macias-Chimborazo V, Español-Martín G, Del Castillo C, Martínez L, Pagerols M, Pagespetit È, Prat R, Puigbó J, Ramos-Quiroga JA, Casas M, Ribasés M. Dissecting the polygenic contribution of attention-deficit/hyperactivity disorder and autism spectrum disorder on school performance by their relationship with educational attainment. Mol Psychiatry 2024:10.1038/s41380-024-02582-w. [PMID: 38783053 DOI: 10.1038/s41380-024-02582-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 04/17/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorders (ASD) are strongly associated with educational attainment (EA), but little is known about their genetic relationship with school performance and whether these links are explained, in part, by the genetic liability of EA. Here, we aim to dissect the polygenic contribution of ADHD and ASD to school performance, early manifestation of psychopathology and other psychiatric disorders and related traits by their relationship with EA. To do so, we tested the association of polygenic scores for EA, ADHD and ASD with school performance, assessed whether the contribution of the genetic liability of ADHD and ASD to school performance is influenced by the genetic liability of EA, and evaluated the role of EA in the genetic overlap between ADHD and ASD with early manifestation of psychopathology and other psychiatric disorders and related traits in a sample of 4,278 school-age children. The genetic liability for ADHD and ASD dissected by their relationship with EA show differences in their association with school performance and early manifestation of psychopathology, partly mediated by ADHD and ASD symptoms. Genetic variation with concordant effects in ASD and EA contributes to better school performance, while the genetic variation with discordant effects in ADHD or ASD and EA is associated with poor school performance and higher rates of emotional and behavioral problems. Our results strongly support the usage of the genetic load for EA to dissect the genetic and phenotypic heterogeneity of ADHD and ASD, which could help to fill the gap of knowledge of mechanisms underlying educational outcomes.
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Affiliation(s)
- Judit Cabana-Domínguez
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
| | - Rosa Bosch
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - María Soler Artigas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Spain
| | - Silvia Alemany
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
| | - Natalia Llonga
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Spain
| | - Laura Vilar-Ribó
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
| | - Pau Carabí-Gassol
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Spain
| | - Lorena Arribas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Valeria Macias-Chimborazo
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Gemma Español-Martín
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Clara Del Castillo
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Laura Martínez
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Mireia Pagerols
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Department of Clinical Foundations, Faculty of Medicine and Health Sciences, Universitat de Barcelona (UB), Barcelona, Spain
| | - Èlia Pagespetit
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Vic, Spain
| | - Raquel Prat
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Sport and Physical Activity Research Group, Mental Health and Social Innovation Research Group, Centre for Health and Social Care Research (CEES), Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Vic, Spain
| | - Julia Puigbó
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Josep Antoni Ramos-Quiroga
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Miquel Casas
- SJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
- Fundació Privada d'Investigació Sant Pau (FISP), Barcelona, Spain
| | - Marta Ribasés
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain.
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Spain.
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2
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Wang T, Yan Z, Zhang Y, Lou Z, Zheng X, Mai D, Wang Y, Shang X, Xiao B, Peng J, Chen J. postGWAS: A web server for deciphering the causality post the genome-wide association studies. Comput Biol Med 2024; 171:108108. [PMID: 38359659 DOI: 10.1016/j.compbiomed.2024.108108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/23/2024] [Accepted: 02/04/2024] [Indexed: 02/17/2024]
Abstract
While genome-wide association studies (GWAS) have unequivocally identified vast disease susceptibility variants, a majority of them are situated in non-coding regions and are in high linkage disequilibrium (LD). To pave the way of translating GWAS signals to clinical drug targets, it is essential to identify the underlying causal variants and further causal genes. To this end, a myriad of post-GWAS methods have been devised, each grounded in distinct principles including fine-mapping, co-localization, and transcriptome-wide association study (TWAS) techniques. Yet, no platform currently exists that seamlessly integrates these diverse post-GWAS methodologies. In this work, we present a user-friendly web server for post-GWAS analysis, that seamlessly integrates 9 distinct methods with 12 models, categorized by fine-mapping, colocalization, and TWAS. The server mainly helps users decipher the causality hindered by complex GWAS signals, including casual variants and casual genes, without the burden of computational skills and complex environment configuration, and provides a convenient platform for post-GWAS analysis, result visualization, facilitating the understanding and interpretation of the genome-wide association studies. The postGWAS server is available at http://g2g.biographml.com/.
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Affiliation(s)
- Tao Wang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Zhihao Yan
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Yiming Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Zhuofei Lou
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Xiaozhu Zheng
- Department of Anesthesiology, The People's Hospital of Yubei District, Chongqing, 401120, China
| | - DuoDuo Mai
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Yongtian Wang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Xuequn Shang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Bing Xiao
- School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Jiajie Peng
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Jing Chen
- School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.
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3
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Mitchell BL, Hansell NK, McAloney K, Martin NG, Wright MJ, Renteria ME, Grasby KL. Polygenic influences associated with adolescent cognitive skills. INTELLIGENCE 2022. [DOI: 10.1016/j.intell.2022.101680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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4
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Merz EC, Strack J, Hurtado H, Vainik U, Thomas M, Evans A, Khundrakpam B. Educational attainment polygenic scores, socioeconomic factors, and cortical structure in children and adolescents. Hum Brain Mapp 2022; 43:4886-4900. [PMID: 35894163 PMCID: PMC9582364 DOI: 10.1002/hbm.26034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/08/2022] [Accepted: 07/15/2022] [Indexed: 11/23/2022] Open
Abstract
Genome‐wide polygenic scores for educational attainment (PGS‐EA) and socioeconomic factors, which are correlated with each other, have been consistently associated with academic achievement and general cognitive ability in children and adolescents. Yet, the independent associations of PGS‐EA and socioeconomic factors with specific underlying factors at the neural and neurocognitive levels are not well understood. The main goals of this study were to examine the unique contributions of PGS‐EA and parental education to cortical structure and neurocognitive skills in children and adolescents, and the associations among PGS‐EA, cortical structure, and neurocognitive skills. Participants were typically developing 3‐ to 21‐year‐olds (53% male; N = 391). High‐resolution, T1‐weighted magnetic resonance imaging data were acquired, and cortical thickness (CT) and surface area (SA) were measured. PGS‐EA were computed based on the EA3 genome‐wide association study of educational attainment. Participants completed executive function, vocabulary, and episodic memory tasks. Higher PGS‐EA and parental education were independently and significantly associated with greater total SA and vocabulary. Higher PGS‐EA was significantly associated with greater SA in the left medial orbitofrontal gyrus and inferior frontal gyrus, which was associated with higher executive function. Higher parental education was significantly associated with greater SA in the left parahippocampal gyrus after accounting for PGS‐EA and total brain volume. These findings suggest that education‐linked genetics may influence SA in frontal regions, leading to variability in executive function. Associations of parental education with cortical structure in children and adolescents remained significant after controlling for PGS‐EA, a source of genetic confounding.
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Affiliation(s)
- Emily C Merz
- Department of Psychology, Colorado State University, Fort Collins, Colorado, USA
| | - Jordan Strack
- Department of Psychology, Colorado State University, Fort Collins, Colorado, USA
| | - Hailee Hurtado
- Department of Psychology, Colorado State University, Fort Collins, Colorado, USA
| | - Uku Vainik
- University of Tartu, Tartu, Estonia.,Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Michael Thomas
- Department of Psychology, Colorado State University, Fort Collins, Colorado, USA
| | - Alan Evans
- Montreal Neurological Institute, McGill University, Montreal, Canada
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5
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Howe LJ, Tudball M, Davey Smith G, Davies NM. Interpreting Mendelian-randomization estimates of the effects of categorical exposures such as disease status and educational attainment. Int J Epidemiol 2021; 51:948-957. [PMID: 34570226 PMCID: PMC9189950 DOI: 10.1093/ije/dyab208] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2021] [Indexed: 11/29/2022] Open
Abstract
Background Mendelian randomization has been previously used to estimate the effects of binary and ordinal categorical exposures—e.g. Type 2 diabetes or educational attainment defined by qualification—on outcomes. Binary and categorical phenotypes can be modelled in terms of liability—an underlying latent continuous variable with liability thresholds separating individuals into categories. Genetic variants influence an individual’s categorical exposure via their effects on liability, thus Mendelian-randomization analyses with categorical exposures will capture effects of liability that act independently of exposure category. Methods and results We discuss how groups in which the categorical exposure is invariant can be used to detect liability effects acting independently of exposure category. For example, associations between an adult educational-attainment polygenic score (PGS) and body mass index measured before the minimum school leaving age (e.g. age 10 years), cannot indicate the effects of years in full-time education on this outcome. Using UK Biobank data, we show that a higher educational-attainment PGS is strongly associated with lower smoking initiation and higher odds of glasses use at age 15 years. These associations were replicated in sibling models. An orthogonal approach using the raising of the school leaving age (ROSLA) policy change found that individuals who chose to remain in education to age 16 years before the reform likely had higher liability to educational attainment than those who were compelled to remain in education to age 16 years after the reform, and had higher income, lower pack-years of smoking, higher odds of glasses use and lower deprivation in adulthood. These results suggest that liability to educational attainment is associated with health and social outcomes independently of years in full-time education. Conclusions Mendelian-randomization studies with non-continuous exposures should be interpreted in terms of liability, which may affect the outcome via changes in exposure category and/or independently.
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Affiliation(s)
- Laurence J Howe
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
| | - Matthew Tudball
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
| | - Neil M Davies
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK.,K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
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6
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Ferreira-Neto JRC, da Silva MD, Rodrigues FA, Nepomuceno AL, Pandolfi V, de Lima Morais DA, Kido EA, Benko-Iseppon AM. Importance of inositols and their derivatives in cowpea under root dehydration: An omics perspective. PHYSIOLOGIA PLANTARUM 2021; 172:441-462. [PMID: 33247842 DOI: 10.1111/ppl.13292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 11/21/2020] [Accepted: 11/23/2020] [Indexed: 06/12/2023]
Abstract
This work presents a robust analysis of the inositols (INSs) and raffinose family oligosaccharides (RFOs) pathways, using genomic and transcriptomic tools in cowpea under root dehydration. Nineteen (~70%) of the 26 scrutinized enzymes presented transcriptional up-regulation in at least one treatment time. The transcriptional orchestration allowed categorization of the analyzed enzymes as time-independent (those showing the same regulation throughout the assay) and time-dependent (those showing different transcriptional regulation over time). It is suggested that up-regulated time-independent enzymes (INSs: myo-inositol oxygenase, inositol-tetrakisphosphate 1-kinase 3, phosphatidylinositol 4-phosphate 5-kinase 4-like, 1-phosphatidylinositol-3-phosphate 5-kinase, phosphoinositide phospholipase C, and non-specific phospholipase C; RFOs: α-galactosidase, invertase, and raffinose synthase) actively participate in the reorganization of cowpea molecular physiology under the applied stress. In turn, time-dependent enzymes, especially those up-regulated in some of the treatment times (INSs: inositol-pentakisphosphate 2-kinase, phosphatidylinositol 4-kinase, phosphatidylinositol synthase, multiple inositol polyphosphate phosphatase 1, methylmalonate-semialdehyde dehydrogenase, triosephosphate isomerase, myo-inositol-3-phosphate synthase, phosphatidylinositol 3,4,5-trisphosphate 3-phosphatase and protein-tyrosine-phosphatase, and phosphatidylinositol 3-kinase; RFOs: galactinol synthase) seem to participate in fine-tuning of the molecular physiology, helping the cowpea plants to acclimatize under dehydration stress. Not all loci encoding the studied enzymes were expressed during the assay; most of the expressed ones exhibited a variable transcriptional profile in the different treatment times. Genes of the INSs and RFOs pathways showed high orthology with analyzed Phaseoleae members, suggesting a relevant role within this legume group. Regarding the promoter regions of INSs and RFOs genes, some bona fide cis-regulatory elements were identified in association with seven transcription factor families (AP2-EFR, Dof-type, MADS-box, bZIP, CPP, ZF-HD, and GATA-type). Members of INSs and RFOs pathways potentially participate in other processes regulated by these proteins in cowpea.
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Affiliation(s)
- José R C Ferreira-Neto
- Laboratory of Molecular Genetics, Center of Biosciences, Genetics Department, Federal University of Pernambuco, Recife, Brazil
| | | | - Fabiana A Rodrigues
- Federal Institute of Education, Science and Technology of Mato Grosso do Sul, Cuiaba, Brazil
| | - Alexandre L Nepomuceno
- Brazilian Agricultural Research Corporation's-EMBRAPA Soybean, Rodovia Carlos João Strass-Distrito de Warta, Londrina, Brazil
| | - Valesca Pandolfi
- Laboratory of Plant Genetics and Biotechnology, Genetics Department, Federal University of Pernambuco, Recife, Brazil
| | | | - Ederson A Kido
- Laboratory of Molecular Genetics, Center of Biosciences, Genetics Department, Federal University of Pernambuco, Recife, Brazil
| | - Ana M Benko-Iseppon
- Laboratory of Plant Genetics and Biotechnology, Genetics Department, Federal University of Pernambuco, Recife, Brazil
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7
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Correia JDG, Ferrinho P, Andrade L. Citizens' trust in the health care institutions as a neglected dimension in strategic health planning data from Guinea-Bissau. Int J Health Plann Manage 2021; 36:1362-1365. [PMID: 33837582 DOI: 10.1002/hpm.3168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2021] [Indexed: 11/06/2022] Open
Affiliation(s)
- Joaninha D G Correia
- ISPA-Instituto Universitário-Ciências Psicológicas,, Sociais e da Vida, Lisboa, Portugal
| | - Paulo Ferrinho
- Universidade Nova de Lisboa, Instituto de Higiene e Medicina Tropical, Global Health and Tropical Medicine Research Centre, Lisboa, Portugal
| | - Luís Andrade
- ISPA-Instituto Universitário-Ciências Psicológicas,, Sociais e da Vida, Lisboa, Portugal
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8
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Rabinowitz JA, Kuo SIC, Domingue B, Smart M, Felder W, Benke K, Maher BS, Ialongo NS, Uhl G. Pathways Between a Polygenic Score for Educational Attainment and Higher Educational Attainment in an African American Sample. Behav Genet 2019; 50:14-25. [PMID: 31760550 DOI: 10.1007/s10519-019-09982-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 11/15/2019] [Indexed: 01/22/2023]
Abstract
We investigated the extent to which performance on standardized achievement tests, executive function (EF), and aggression in childhood and adolescence accounted for the relationship between a polygenic score for educational attainment (EA PGS) and years of education in a community sample of African Americans. Participants (N = 402; 49.9% female) were initially recruited for an elementary school-based prevention trial in a Mid-Atlantic city and followed into adulthood. In first and twelfth grade, participants completed math and reading standardized tests and teachers reported on participants' aggression and EF, specifically impulsivity and concentration problems. At age 20, participants reported on their years of education and post-secondary degrees attained and their genotype was assayed from blood or buccal swabs. An EA PGS was created using results from a large-scale GWAS on EA. A higher EA PGS was associated with higher education indirectly via adolescent achievement. No other mediating mechanisms were significant. Adolescent academic achievement is thus one mechanism through which polygenic propensity for EA influences post-secondary education among urban, African American youth.
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Affiliation(s)
- Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Heath, Baltimore, USA.
| | - Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, Richmond, USA
| | | | - Mieka Smart
- College of Human Medicine, Michigan State University, East Lansing, USA
| | - William Felder
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Heath, Baltimore, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Heath, Baltimore, USA
| | - Brion S Maher
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Heath, Baltimore, USA
| | - Nicholas S Ialongo
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Heath, Baltimore, USA
| | - George Uhl
- New Mexico VA Health Care System, Las Vegas, USA
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9
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Malykh SB, Malykh AS, Karunas AS, Enikeeva RF, Davydova YD, Khusnutdinova EK. Molecular Genetic Studies of Cognitive Ability. RUSS J GENET+ 2019. [DOI: 10.1134/s1022795419070111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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10
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Rabinowitz JA, Kuo SIC, Felder W, Musci RJ, Bettencourt A, Benke K, Sisto DY, Smail E, Uhl G, Maher BS, Kouzis A, Ialongo NS. Associations between an educational attainment polygenic score with educational attainment in an African American sample. GENES BRAIN AND BEHAVIOR 2019; 18:e12558. [PMID: 30793481 DOI: 10.1111/gbb.12558] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 01/25/2019] [Accepted: 02/07/2019] [Indexed: 12/13/2022]
Abstract
Polygenic propensity for educational attainment has been associated with higher education attendance, academic achievement and criminal offending in predominantly European samples; however, less is known about whether this polygenic propensity is associated with these outcomes among African Americans. Using an educational attainment polygenic score (EA PGS), the present study examined whether this score was associated with post-secondary education, academic achievement and criminal offending in an urban, African American sample. Three cohorts of participants (N = 1050; 43.9% male) were initially recruited for an elementary school-based universal prevention trial in a Mid-Atlantic city and followed into young adulthood. Standardized tests of reading and math achievement were administered in first grade. At age 20, participants reported on their level of education attained, and records of incarceration were obtained from Maryland's Criminal Justice Information System. In young adulthood, DNA was collected and extracted from blood or buccal swabs and genotyped. An EA PGS was created using results from a large-scale genome-wide association study on educational attainment. A higher EA PGS was associated with a greater log odds of post-secondary education. The EA PGS was not associated with reading achievement, although a significant relationship was found with math achievement in the third cohort. These findings contribute to the dearth of molecular genetics work conducted in African American samples and highlight that polygenic propensity for educational attainment is associated with higher education attendance.
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Affiliation(s)
- Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Sally I-C Kuo
- Department of Psychology, Virginia Commonwealth University College of Humanities and Sciences, Richmond, Virginia
| | - William Felder
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Amie Bettencourt
- Department of Medicine, Division of Child and Adolescent Psychiatry, Johns Hopkins University, Baltimore, Maryland
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Danielle Y Sisto
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Emily Smail
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - George Uhl
- Office of Research & Development, New Mexico VA Health Care System, Albuquerque, New Mexico
| | - Brion S Maher
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Anthony Kouzis
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Nicholas S Ialongo
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
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11
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Abstract
In this article, we attempt to integrate recent advances in our understanding of the relations between culture and genes into an emerging field—cultural genomics—and discuss its promises and theoretical and methodological challenges. We first provide a brief review of previous conceptualizations about the relations between culture and genes and then argue that recent advances in molecular evolution research has allowed us to reframe the discussion away from parallel genetic and cultural evolution to focus on the interactions between the two. After outlining the key issues involved in cultural genomics (unit of analysis, timescale, mechanisms, and direction of influence), we provide examples of research for the different levels of interactions between culture and genes. We then discuss ideological, theoretical, and methodological challenges in cultural genomics and propose tentative solutions.
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Corbin LJ, Timpson NJ. Body mass index: Has epidemiology started to break down causal contributions to health and disease? Obesity (Silver Spring) 2016; 24:1630-8. [PMID: 27460712 PMCID: PMC5972005 DOI: 10.1002/oby.21554] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 04/04/2016] [Accepted: 04/05/2016] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To review progress in understanding the methods and results concerning the causal contribution of body mass index (BMI) to health and disease. METHODS In the context of conventional evidence focused on the relationship between BMI and health, this review considers current literature on the common, population-based, genetic contribution to BMI and how this has fed into the developing field of applied epidemiology. RESULTS Technological and analytical developments have driven considerable success in identifying genetic variants relevant to BMI. This has enabled the implementation of Mendelian randomization to address questions of causality. The product of this work has been the implication of BMI as a causal agent in a host of health outcomes. Further breakdown of causal pathways by integration with other "omics" technologies promises to deliver additional benefit. CONCLUSIONS Gaps remain in our understanding of BMI as a risk factor for health and disease, and while promising, applied genetic epidemiology should be considered alongside alternative methods for assessing the impact of BMI on health. Potential limitations, relating to inappropriate or nonspecific measures of obesity and the improper use of genetic instruments, will need to be explored and incorporated into future research aiming to dissect BMI as a risk factor.
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Affiliation(s)
| | - Nicholas J. Timpson
- corresponding author: CONTACT INFO: MRC Integrative Epidemiology Unit, Oakfield House, Oakfield Grove, Bristol, BS8 2BN. .
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Belsky DW, Moffitt TE, Corcoran DL, Domingue B, Harrington H, Hogan S, Houts R, Ramrakha S, Sugden K, Williams BS, Poulton R, Caspi A. The Genetics of Success: How Single-Nucleotide Polymorphisms Associated With Educational Attainment Relate to Life-Course Development. Psychol Sci 2016; 27:957-72. [PMID: 27251486 DOI: 10.1177/0956797616643070] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Accepted: 03/14/2016] [Indexed: 11/15/2022] Open
Abstract
A previous genome-wide association study (GWAS) of more than 100,000 individuals identified molecular-genetic predictors of educational attainment. We undertook in-depth life-course investigation of the polygenic score derived from this GWAS using the four-decade Dunedin Study (N = 918). There were five main findings. First, polygenic scores predicted adult economic outcomes even after accounting for educational attainments. Second, genes and environments were correlated: Children with higher polygenic scores were born into better-off homes. Third, children's polygenic scores predicted their adult outcomes even when analyses accounted for their social-class origins; social-mobility analysis showed that children with higher polygenic scores were more upwardly mobile than children with lower scores. Fourth, polygenic scores predicted behavior across the life course, from early acquisition of speech and reading skills through geographic mobility and mate choice and on to financial planning for retirement. Fifth, polygenic-score associations were mediated by psychological characteristics, including intelligence, self-control, and interpersonal skill. Effect sizes were small. Factors connecting DNA sequence with life outcomes may provide targets for interventions to promote population-wide positive development.
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Affiliation(s)
- Daniel W Belsky
- Department of Medicine, Duke University School of Medicine Social Science Research Institute, Duke University
| | - Terrie E Moffitt
- Department of Psychology & Neuroscience, Duke University Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine Center for Genomic and Computational Biology, Duke University MRC Social, Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | | | | | | | - Sean Hogan
- Dunedin Multidisciplinary Health & Development Research Unit, Department of Psychology, University of Otago
| | - Renate Houts
- Department of Psychology & Neuroscience, Duke University
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health & Development Research Unit, Department of Psychology, University of Otago
| | - Karen Sugden
- Department of Psychology & Neuroscience, Duke University
| | | | - Richie Poulton
- Dunedin Multidisciplinary Health & Development Research Unit, Department of Psychology, University of Otago
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine Center for Genomic and Computational Biology, Duke University MRC Social, Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
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The role of common genetic variation in educational attainment and income: evidence from the National Child Development Study. Sci Rep 2015; 5:16509. [PMID: 26561353 PMCID: PMC4642349 DOI: 10.1038/srep16509] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 10/14/2015] [Indexed: 11/16/2022] Open
Abstract
We investigated the role of common genetic variation in educational attainment and household income. We used data from 5,458 participants of the National Child Development Study to estimate: 1) the associations of rs9320913, rs11584700 and rs4851266 and socioeconomic position and educational phenotypes; and 2) the univariate chip-heritability of each phenotype, and the genetic correlation between each phenotype and educational attainment at age 16. The three SNPs were associated with most measures of educational attainment. Common genetic variation contributed to 6 of 14 socioeconomic background phenotypes, and 17 of 29 educational phenotypes. We found evidence of genetic correlations between educational attainment at age 16 and 4 of 14 social background and 8 of 28 educational phenotypes. This suggests common genetic variation contributes both to differences in educational attainment and its relationship with other phenotypes. However, we remain cautious that cryptic population structure, assortative mating, and dynastic effects may influence these associations.
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A review of intelligence GWAS hits: Their relationship to country IQ and the issue of spatial autocorrelation. INTELLIGENCE 2015. [DOI: 10.1016/j.intell.2015.08.008] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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de Zeeuw EL, de Geus EJ, Boomsma DI. Meta-analysis of twin studies highlights the importance of genetic variation in primary school educational achievement. Trends Neurosci Educ 2015. [DOI: 10.1016/j.tine.2015.06.001] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Domingue BW, Belsky D, Conley D, Harris KM, Boardman JD. Polygenic Influence on Educational Attainment: New evidence from The National Longitudinal Study of Adolescent to Adult Health. AERA OPEN 2015; 1:1-13. [PMID: 28164148 PMCID: PMC5291340 DOI: 10.1177/2332858415599972] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Recent studies have begun to uncover the genetic architecture of educational attainment. We build on this work using genome-wide data from siblings in the National Longitudinal Study of Adolescent to Adult Health (Add Health). We measure the genetic predisposition of siblings to educational attainment using polygenic scores. We then test how polygenic scores are related to social environments and educational outcomes. In Add Health, genetic predisposition to educational attainment is patterned across the social environment. Participants with higher polygenic scores were more likely to grow up in socially advantaged families. Even so, the previously published genetic associations appear to be causal. Among pairs of siblings, the sibling with the higher polygenic score typically went on to complete more years of schooling as compared to their lower-scored co-sibling. We found subtle differences between sibling fixed effect estimates of the genetic effect versus those based on unrelated individuals.
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Affiliation(s)
| | - Daniel Belsky
- Department of Medicine, Duke University School of Medicine, Social Science Research Institute, Duke University
| | | | | | - Jason D. Boardman
- Department of Sociology and Institute of Behavioral Science, University of Colorado Boulder
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Burgess S, Timpson NJ, Ebrahim S, Davey Smith G. Mendelian randomization: where are we now and where are we going? Int J Epidemiol 2015; 44:379-88. [DOI: 10.1093/ije/dyv108] [Citation(s) in RCA: 107] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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Männik K, Mägi R, Macé A, Cole B, Guyatt A, Shihab HA, Maillard AM, Alavere H, Kolk A, Reigo A, Mihailov E, Leitsalu L, Ferreira AM, Nõukas M, Teumer A, Salvi E, Cusi D, McGue M, Iacono WG, Gaunt TR, Beckmann JS, Jacquemont S, Kutalik Z, Pankratz N, Timpson N, Metspalu A, Reymond A. Copy number variations and cognitive phenotypes in unselected populations. JAMA 2015; 313:2044-54. [PMID: 26010633 PMCID: PMC4684269 DOI: 10.1001/jama.2015.4845] [Citation(s) in RCA: 117] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE The association of copy number variations (CNVs), differing numbers of copies of genetic sequence at locations in the genome, with phenotypes such as intellectual disability has been almost exclusively evaluated using clinically ascertained cohorts. The contribution of these genetic variants to cognitive phenotypes in the general population remains unclear. OBJECTIVE To investigate the clinical features conferred by CNVs associated with known syndromes in adult carriers without clinical preselection and to assess the genome-wide consequences of rare CNVs (frequency ≤0.05%; size ≥250 kilobase pairs [kb]) on carriers' educational attainment and intellectual disability prevalence in the general population. DESIGN, SETTING, AND PARTICIPANTS The population biobank of Estonia contains 52,000 participants enrolled from 2002 through 2010. General practitioners examined participants and filled out a questionnaire of health- and lifestyle-related questions, as well as reported diagnoses. Copy number variant analysis was conducted on a random sample of 7877 individuals and genotype-phenotype associations with education and disease traits were evaluated. Our results were replicated on a high-functioning group of 993 Estonians and 3 geographically distinct populations in the United Kingdom, the United States, and Italy. MAIN OUTCOMES AND MEASURES Phenotypes of genomic disorders in the general population, prevalence of autosomal CNVs, and association of these variants with educational attainment (from less than primary school through scientific degree) and prevalence of intellectual disability. RESULTS Of the 7877 in the Estonian cohort, we identified 56 carriers of CNVs associated with known syndromes. Their phenotypes, including cognitive and psychiatric problems, epilepsy, neuropathies, obesity, and congenital malformations are similar to those described for carriers of identical rearrangements ascertained in clinical cohorts. A genome-wide evaluation of rare autosomal CNVs (frequency, ≤0.05%; ≥250 kb) identified 831 carriers (10.5%) of the screened general population. Eleven of 216 (5.1%) carriers of a deletion of at least 250 kb (odds ratio [OR], 3.16; 95% CI, 1.51-5.98; P = 1.5e-03) and 6 of 102 (5.9%) carriers of a duplication of at least 1 Mb (OR, 3.67; 95% CI, 1.29-8.54; P = .008) had an intellectual disability compared with 114 of 6819 (1.7%) in the Estonian cohort. The mean education attainment was 3.81 (P = 1.06e-04) among 248 (≥250 kb) deletion carriers and 3.69 (P = 5.024e-05) among 115 duplication carriers (≥1 Mb). Of the deletion carriers, 33.5% did not graduate from high school (OR, 1.48; 95% CI, 1.12-1.95; P = .005) and 39.1% of duplication carriers did not graduate high school (OR, 1.89; 95% CI, 1.27-2.8; P = 1.6e-03). Evidence for an association between rare CNVs and lower educational attainment was supported by analyses of cohorts of adults from Italy and the United States and adolescents from the United Kingdom. CONCLUSIONS AND RELEVANCE Known pathogenic CNVs in unselected, but assumed to be healthy, adult populations may be associated with unrecognized clinical sequelae. Additionally, individually rare but collectively common intermediate-size CNVs may be negatively associated with educational attainment. Replication of these findings in additional population groups is warranted given the potential implications of this observation for genomics research, clinical care, and public health.
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Affiliation(s)
- Katrin Männik
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Aurélien Macé
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Ben Cole
- University of Minnesota Medical School, Department of Laboratory Medicine & Pathology, 420 Delaware St. SE, Minneapolis, MN 55455, USA
| | - Anna Guyatt
- Bristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Hashem A. Shihab
- Bristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Anne M. Maillard
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Helene Alavere
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Anneli Kolk
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Department of Neurology and Neurorehabilitation, Children's Clinic, Tartu University Hospital, Tartu, Estonia
| | - Anu Reigo
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Department of Neurology and Neurorehabilitation, Children's Clinic, Tartu University Hospital, Tartu, Estonia
| | - Liis Leitsalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Anne-Maud Ferreira
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Margit Nõukas
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Erika Salvi
- Deparment of Health Sciences, University of Milan, Italy
| | - Daniele Cusi
- Deparment of Health Sciences, University of Milan, Italy
- Institute of Biomedical Technologies, Italian National Research Council, Milan, Italy
| | - Matt McGue
- University of Minnesota Department of Psychology, 75 E. River Rd, Minneapolis, MN 55455, USA
| | - William G. Iacono
- University of Minnesota Department of Psychology, 75 E. River Rd, Minneapolis, MN 55455, USA
| | - Tom R. Gaunt
- Bristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | | | | | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Switzerland
| | - Nathan Pankratz
- University of Minnesota Medical School, Department of Laboratory Medicine & Pathology, 420 Delaware St. SE, Minneapolis, MN 55455, USA
| | - Nicholas Timpson
- Bristol Genetic Epidemiology Laboratories, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Department of Neurology and Neurorehabilitation, Children's Clinic, Tartu University Hospital, Tartu, Estonia
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
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Zhu B, Chen C, Moyzis RK, Dong Q, Lin C. Educational attainment-related loci identified by GWAS are associated with select personality traits and mathematics and language abilities. PERSONALITY AND INDIVIDUAL DIFFERENCES 2015. [DOI: 10.1016/j.paid.2014.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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