1,153 results on '"Plomin, R."'
Search Results
2. Genomic prediction of cognitive traits in childhood and adolescence
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Allegrini, A. G., Selzam, S., Rimfeld, K., von Stumm, S., Pingault, J. B., and Plomin, R.
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- 2019
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3. Widespread covariation of early environmental exposures and trait-associated polygenic variation
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Krapohl, E., Hannigan, L. J., Pingault, J.-B., Patel, H., Kadeva, N., Curtis, C., Breen, G., Newhouse, S. J., Eley, T. C., O’Reilly, P. F., and Plomin, R.
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- 2017
4. Twin Studies, Heritability, and Intelligence
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Feldman, M. W., Otto, S. P., Greenspan, Stanley I., Kamin, Leon J., Falek, Arthur, Jarvik, Lissy F., McClearn, G. E., Ahern, F., Johansson, B., Berg, S., Pedersen, N. L., Petrill, S. A., and Plomin, R.
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- 1997
5. Genome-wide Analyses of Vocabulary Size in Infancy and Toddlerhood: Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits
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Verhoef, E, Allegrini, AG, Jansen, PR, Lange, K, Wang, CA, Morgan, AT, Ahluwalia, TS, Symeonides, C, EAGLE Working Group, Eising, E, Franken, M-C, Hypponen, E, Mansell, T, Olislagers, M, Omerovic, E, Rimfeld, K, Schlag, F, Selzam, S, Shapland, CY, Tiemeier, H, Whitehouse, AJO, Saffery, R, Bønnelykke, K, Reilly, S, Pennell, CE, Wake, M, Cecil, CAM, Plomin, R, Fisher, SE, St Pourcain, B, Verhoef, E, Allegrini, AG, Jansen, PR, Lange, K, Wang, CA, Morgan, AT, Ahluwalia, TS, Symeonides, C, EAGLE Working Group, Eising, E, Franken, M-C, Hypponen, E, Mansell, T, Olislagers, M, Omerovic, E, Rimfeld, K, Schlag, F, Selzam, S, Shapland, CY, Tiemeier, H, Whitehouse, AJO, Saffery, R, Bønnelykke, K, Reilly, S, Pennell, CE, Wake, M, Cecil, CAM, Plomin, R, Fisher, SE, and St Pourcain, B
- Abstract
BACKGROUND: The number of words children produce (expressive vocabulary) and understand (receptive vocabulary) changes rapidly during early development, partially due to genetic factors. Here, we performed a meta-genome-wide association study of vocabulary acquisition and investigated polygenic overlap with literacy, cognition, developmental phenotypes, and neurodevelopmental conditions, including attention-deficit/hyperactivity disorder (ADHD). METHODS: We studied 37,913 parent-reported vocabulary size measures (English, Dutch, Danish) for 17,298 children of European descent. Meta-analyses were performed for early-phase expressive (infancy, 15-18 months), late-phase expressive (toddlerhood, 24-38 months), and late-phase receptive (toddlerhood, 24-38 months) vocabulary. Subsequently, we estimated single nucleotide polymorphism-based heritability (SNP-h2) and genetic correlations (rg) and modeled underlying factor structures with multivariate models. RESULTS: Early-life vocabulary size was modestly heritable (SNP-h2 = 0.08-0.24). Genetic overlap between infant expressive and toddler receptive vocabulary was negligible (rg = 0.07), although each measure was moderately related to toddler expressive vocabulary (rg = 0.69 and rg = 0.67, respectively), suggesting a multifactorial genetic architecture. Both infant and toddler expressive vocabulary were genetically linked to literacy (e.g., spelling: rg = 0.58 and rg = 0.79, respectively), underlining genetic similarity. However, a genetic association of early-life vocabulary with educational attainment and intelligence emerged only during toddlerhood (e.g., receptive vocabulary and intelligence: rg = 0.36). Increased ADHD risk was genetically associated with larger infant expressive vocabulary (rg = 0.23). Multivariate genetic models in the ALSPAC (Avon Longitudinal Study of Parents and Children) cohort confirmed this finding for ADHD symptoms (e.g., at age 13; rg = 0.54) but showed that the association effect reversed for
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- 2023
6. Why do we differ in number sense? Evidence from a genetically sensitive investigation
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Tosto, M.G., Petrill, S.A., Halberda, J., Trzaskowski, M., Tikhomirova, T.N., Bogdanova, O.Y., Ly, R., Wilmer, J.B., Naiman, D.Q., Germine, L., Plomin, R., and Kovas, Y.
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- 2014
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7. Human behavioral genomics
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Plomin, R., Christen, Yves, editor, and Mallet, Jacques, editor
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- 2003
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8. The Origins of Diverse Domains of Mathematics: Generalist Genes but Specialist Environments
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Kovas, Y., Petrill, S. A., and Plomin, R.
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The authors assessed 2,502 ten-year-old children, members of 1,251 pairs of twins, on a Web-based battery of problems from 5 diverse aspects of mathematics assessed as part of the U.K. national curriculum. This 1st genetic study into the etiology of variation in different domains of mathematics showed that the heritability estimates were moderate and highly similar across domains and that these genetic influences were mostly general. Environmental factors unique to each twin in a family (rather than shared by the 2 twins) explained most of the remaining variance, and these factors were mostly specific to each domain.
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- 2007
9. Predicting educational achievement from DNA
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Selzam, S, Krapohl, E, von Stumm, S, OʼReilly, P F, Rimfeld, K, Kovas, Y, Dale, P S, Lee, J J, and Plomin, R
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- 2018
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10. Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people
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Eising, E., Mirza-Schreiber, N., Zeeuw, E.L. de, Wang, C.A., Truong, D.T., Allegrini, A.G., Shapland, C.Y., Zhu, G., Wigg, K.G., Gerritse, M.L., Molz, B., Alagöz, G., Gialluisi, A., Abbondanza, F., Rimfeld, K., Donkelaar, M.M.J. van, Liao, Z., Jansen, P.R., Andlauer, T.F.M., Bates, T.C., Bernard, M., Blokland, K., Bonte, M., Børglum, A.D., Bourgeron, T., Brandeis, D., Ceroni, F., Csépe, V., Dale, P.S., Jong, P.F. de, DeFries, J.C., Démonet, J.F., Demontis, D., Feng, Yu, Gordon, S.D.S., Guger, S.L., Hayiou-Thomas, M.E., Hernández-Cabrera, J.A., Hottenga, J.J., Hulme, C., Kere, J., Kerr, E.N., Koomar, T., Landerl, K., Leonard, G.T., Lovett, M.W., Lyytinen, H., Martin, N.G., Martinelli, A., Maurer, U., Michaelson, J.J., Moll, K., Monaco, A.P., Morgan, A.T., Nöthen, M.M., Pausova, Z., Pennell, C.E., Pennington, B.F., Price, K.M., Rajagopal, V.M., Ramus, F., Richer, L., Simpson, N.H., Smith, S.D., Snowling, M.J., Stein, J., Strug, L.J., Talcott, J.B., Tiemeier, H., Schroeff, M.P. van der, Verhoef, E., Watkins, K.E., Wilkinson, M., Wright, M.J., Barr, C.L., Boomsma, D.I., Carreiras, M., Franken, M.J., Gruen, J.R., Luciano, M., Müller-Myhsok, B., Newbury, D.F., Olson, R.K., Paracchini, S., Paus, T., Plomin, R., Reilly, S., Schulte-Körne, G., Tomblin, J.B., Bergen, E. van, Whitehouse, A.J.O., Willcutt, E.G., Pourcain, B. St, Francks, C., Fisher, S.E., St Pourcain, B., Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire de sciences cognitives et psycholinguistique (LSCP), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Human genetics, APH - Aging & Later Life, APH - Mental Health, Biological Psychology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Reproduction & Development, APH - Methodology, LEARN! - Educational neuroscience, learning and development, Child and Adolescent Psychiatry / Psychology, Otorhinolaryngology and Head and Neck Surgery, STEMM - Stem Cells and Metabolism Research Program, Juha Kere / Principal Investigator, Research Programs Unit, University of Helsinki, Language, RS: FPN CN 7, The Royal Society, University of St Andrews. Cellular Medicine Division, University of St Andrews. School of Medicine, University of St Andrews. Centre for Biophotonics, University of St Andrews. Biomedical Sciences Research Complex, University of St Andrews. Institute of Behavioural and Neural Sciences, and University of St Andrews. St Andrews Bioinformatics Unit
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Neuroinformatics ,Adult ,kieli ja kielet ,Adolescent ,Individuality ,QH426 Genetics ,Polymorphism, Single Nucleotide ,lukeminen ,Language in Interaction ,Young Adult ,SDG 3 - Good Health and Well-being ,RA0421 ,reading ,RA0421 Public health. Hygiene. Preventive Medicine ,Humans ,Speech ,study ,Polymorphism ,Reading j ,Preschool ,Child ,QH426 ,perinnöllisyys ,Genome-wide Association Study ,Language ,Meta-analysis ,Reading ,MCC ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,genome-wide association study ,language ,Multidisciplinary ,meta-analyysi ,1184 Genetics, developmental biology, physiology ,kielitaito ,[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences ,DAS ,Single Nucleotide ,meta-analysis ,Genetic Loci ,Child, Preschool ,Genome-Wide Association Study ,perimä ,lukutaito ,genome-wide association ,SDG 4 - Quality Education - Abstract
Published August 23, 2022 The use of spoken and written language is a fundamental human capacity. Individual differences in reading- and language-related skills are influenced by genetic variation, with twin-based heritability estimates of 30 to 80% depending on the trait. The genetic architecture is complex, heterogeneous, and multifactorial, but investigations of contributions of single-nucleotide polymorphisms (SNPs) were thus far underpowered. We present a multicohort genome-wide association study (GWAS) of five traits assessed individually using psychometric measures (word reading, nonword reading, spelling, phoneme awareness, and nonword repetition) in samples of 13,633 to 33,959 participants aged 5 to 26 y. We identified genome-wide significant association with word reading (rs11208009, P = 1.098 × 1028) at a locus that has not been associated with intelligence or educational attainment. All five reading-/language-related traits showed robust SNP heritability, accounting for 13 to 26% of trait variability. Genomic structural equation modeling revealed a shared genetic factor explaining most of the variation in word/nonword reading, spelling, and phoneme awareness, which only partially overlapped with genetic variation contributing to nonword repetition, intelligence, and educational attainment. A multivariate GWAS of word/nonword reading, spelling, and phoneme awareness maximized power for follow-up investigation. Genetic correlation analysis with neuroimaging traits identified an association with the surface area of the banks of the left superior temporal sulcus, a brain region linked to the processing of spoken and written language. Heritability was enriched for genomic elements regulating gene expression in the fetal brain and in chromosomal regions that are depleted of Neanderthal variants. Together, these results provide avenues for deciphering the biological underpinnings of uniquely human traits. We thank all the children, twins, families, and participants who took part and are taking part in the 22 cohorts whose data contributed to these GWAS meta-analyses; the staff working on the different cohorts, including volunteers, study coordinators, interviewers, teachers, nurses, research scientists, general practitioners, midwives, psychologists, psychometrists, computer and laboratory technicians, and colleagues who assisted in the quality control and preparation of the imputed GWAS data; and the pharmacies and hospitals that were involved. B.M., B.M.-M., B.S.P., C.F., E.E., E.V., G.A., M.v.D., and S.E.F. are supported by the Max Planck Society. A.G. and T.F.M.A. were supported by the Munich Cluster for Systems Neurology (SyNergy), and A.G. was supported by Fondazione Umberto Veronesi. A.T.M. is supported by National Health and Medical Research Council of Australia (NHMRC) Grants 1105008 and 1195955 and Centre of Research Excellence Grant 1116976. A.J.O.W. is supported by NHMRC Grant 1173896. B.S.P. is supported by Simons Foundation Autism Research Initiative Grant 514787. C.Y.S. works in the Medical Research Council Integrative Epidemiology Unit at the University of Bristol (MC_UU_00011/3). D.I.B. acknowledges Royal Netherlands Academy of Science Professor Award PAH/6635. E.E. is supported by NIH Grant R01DC016977. E.G.W. and J.R.G. are supported by National Institute of Child Health and Human Development (NICHD) Grant P50 HD 27802. F.R. is supported by Agence Nationale de la Recherche Grants ANR-06-NEURO-019-01, ANR-17-EURE-0017 IEC, ANR-10-IDEX-0001-02 PSL, and ANR-11-BSV4-014-01 and European Commission Grant LSHM-CT-2005-018696. H.T. is supported by the Netherlands Organization for Scientific Research (NWO) and Netherlands Organisation for Health Research and Development (ZonMW) Grant VICI 016.VICI.170.200. J.C.D. was supported by NICHD Grant P50 HD 27802. J.J.M., J.B.To., and T.K. were supported by NIH Grant R01 DC014489. K.M.P. was supported by the Hospital for Sick Children Research Training Program (Restracomp). K.R. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (213514/Z/18/Z). M.J.S. is supported by Wellcome Trust Grant WT082032MA. S.P. and F.A. are supported by Royal Society Grants UF150663 and RGF\EA\180141. T.B. is supported by Institut Pasteur, the Bettencourt-Schueller Foundation, and Université de Paris. The Adolescent Brain Cognitive Development Study is supported by the NIH and additional federal partners (NIH Grants U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, and U24DA041147). The Aston Cohort was supported by funding from European Union (EU) Horizon 2020 Programme 641652 and Waterloo Foundation Grant 797/17290. The St. Andrews Bioinformatics Unit is funded by Wellcome Trust Grants 105621/Z/14/Z and 204821/Z/16/Z. ALSPAC is supported by UK Medical Research Council and Wellcome Grant 217065/Z/19/Z and the University of Bristol. A comprehensive list of grant funding is available on the ALSPAC website (http://www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf). The Basque Center on Cognition, Brain and Language (BCBL) cohort was supported by the Basque Government through the Basic Excellence Research Centre program and the Agencia Estatal de Investigación through BCBL Severo Ochoa excellence accreditation. The Brisbane Adolescent Twin Sample was supported by Australian Research Council Grants A7960034, A79906588, A79801419, DP0212016, and DP0343921, with genotyping funded by the NHMRC Grant 389891. The Colorado Learning Disabilities Research Center cohort was supported by NICHD Grant P50 HD 27802. The Early Language in Victoria Study was supported by NHMRC Grant 436958. The Familial Influences on Literacy Abilities cohort is supported by the University of Amsterdam, the Max Planck Institue Nijmegen, and NWO Grants Rubicon 446-12-005 and VENI 451-15-017. The GRaD study was funded by the Manton Foundation, NIH Grants P50-HD027802 and K99-HD094902, and the Lambert Family. NeuroDys was funded by an EU Sixth Framework Program grant to the NeuroDys Consortium, Swiss National Science Foundation Grant 32-108130, and Austrian Science Fund Grant 18351-B02. The Netherlands Twin Register is funded by NWO Grants 480-04-004, 481-08-011, 056-32-010, 024.001.003, 480-15-001/674, 184.021.007, 184.033.111, and 56-464-14192; ZonMW Grants 911-09-032 and 912-10-020; the Amsterdam Public Health and Amsterdam Reproduction and Development Research Institutes; European Science Council Grant ERC Advanced 230374; EU Seventh Framework Program (FP7) Grant FP7/2007-2013: 602768; National Institute of Mental Health (NIMH) Grants U24 MH068457-06, R01 MH58799-03, and 1RC2 MH089995; and the Avera Institute for Human Genetics. The Pediatric Imaging, Neurocognition, and Genetics cohort is funded by NIH Grant RC2DA029475, the National Institute on Drug Abuse, and the Eunice Kennedy Shriver NICHD. The Philadelphia Neurodevelopmental Cohort is funded by NIH Grants RC2MH089983 and RC2MH089924, an institutional development award to the Center for Applied Genomics from The Children’s Hospital of Philadelphia, and a donation from Adele and Daniel Kubert and thanks the NIH data repository. The Raine study was supported by long-term funding from NHMRC Grants 572613, 403981, and 1059711 and Canadian Institutes of Health Research (CIHR) Grant MOP-82893. Funding was also provided by the University of Western Australia, Curtin University, the Women and Infants Research Foundation, the Telethon Kids Institute, Edith Cowan University, Murdoch University, the University of Notre Dame Australia, and the Raine Medical Research Foundation. The Raine study analyses were supported by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. The Saguenay Youth Study is supported by the CIHR, the Heart and Stroke Foundation of Quebec, and the Canadian Foundation for Innovation. The SLI Consortium was funded by Wellcome Trust Grant 076566 and UK Medical Research Council Grant G1000569. The Twins Early Development Study is supported by UK Medical Research Council Grants MR/V012878/1 and MR/M021475/1, NIH Grant AG046938, and the EU FP7 grant FP7/2007-2013/: 602768. Toronto was supported by CIHR Grant MOP-133440. UK Dyslexia was supported by Wellcome Trust Grants 076566/Z/05/Z and 075491/Z/04, Waterloo Foundation Grant 797–1720, EU Grant 018696, and Royal Society Grant UF100463. The York cohort was funded by Wellcome Trust Grant 082036/B/07/Z. We acknowledge iPSYCH for sharing their summary statistics. The iPSYCH team was supported by Lundbeck Foundation Grants R102-A9118, R155-2014-1724, and R248-2017-2003; NIMH Grant 1U01MH109514-01; and the Universities and University Hospitals of Aarhus and Copenhagen. The Danish National Biobank resource was supported by the Novo Nordisk Foundation. High-performance computer capacity was provided by the Center for Genomics and Personalized Medicine and the Centre for Integrative Sequencing, Aarhus University, Denmark.
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- 2022
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11. Genomic contributions to infant and toddler vocabulary scores: Implications for association with health-, cognition-, and behaviour-related outcomes
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Verhoef, E., Allegrini, A., Jansen, P., Lange, K., Wang, C., Morgan, A., Ahluwalia, T., Symeonides, C., Eagle working group, Bisgaard, H., Eising, E., Franken, M., Hypponen, E., Mansell, T., Olislagers, M., Omerovic, E., Rimfeld, K., Schlag, F., Selzam, S., Shapland, C., Tiemeier, H., Whitehouse, A., Saffery, R., Bønnelykke, K., Reilly, S., Pennell, C., Wake, M., Cecil, C., Plomin, R., Fisher, S., and St Pourcain, B.
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- 2022
12. 'Generalist Genes' and Mathematics in 7-Year-Old Twins
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Kovas, Y., Harlaar, N., Petrill, S. A., and Plomin, R.
- Abstract
Mathematics performance at 7 years as assessed by teachers using UK national curriculum criteria has been found to be highly heritable. For almost 3000 pairs of 7-year-old same-sex twins, we used multivariate genetic analysis to investigate the extent to which these genetic effects on mathematics performance overlap with genetic effects on reading and general intelligence (g) as predicted by the "generalist genes" hypothesis. We found substantial genetic overlap between mathematics and reading (genetic correlation=0.74) and between mathematics and g (0.67). These findings support the "generalist genes" hypothesis that most of the genes that contribute to individual differences in mathematics are the same genes that affect reading and g. Nonetheless, the genetic correlations are less than unity and about a third of the genetic variance on mathematics is independent of reading and g, suggesting that there are also some genes whose effects are specific to mathematics.
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- 2005
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13. Heritability and genome-wide analyses of problematic peer relationships during childhood and adolescence
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St Pourcain, Beate, Haworth, C. M. A., Davis, O. S. P., Wang, Kai, Timpson, Nicholas J., Evans, David M., Kemp, John P., Ronald, Angelica, Price, Tom, Meaburn, Emma, Ring, Susan M., Golding, Jean, Hakonarson, Hakon, Plomin, R., and Davey Smith, George
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- 2015
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14. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects
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Howe, LJ, Nivard, MG, Morris, TT, Hansen, AF, Rasheed, H, Cho, Y, Chittoor, G, Ahlskog, R, Lind, PA, Palviainen, T, van der Zee, MD, Cheesman, R, Mangino, M, Wang, Y, Li, S, Klaric, L, Ratliff, SM, Bielak, LF, Nygaard, M, Giannelis, A, Willoughby, EA, Reynolds, CA, Balbona, JV, Andreassen, OA, Ask, H, Baras, A, Bauer, CR, Boomsma, DI, Campbell, A, Campbell, H, Chen, Z, Christofidou, P, Corfield, E, Dahm, CC, Dokuru, DR, Evans, LM, de Geus, EJC, Giddaluru, S, Gordon, SD, Harden, KP, Hill, WD, Hughes, A, Kerr, SM, Kim, Y, Kweon, H, Latvala, A, Lawlor, DA, Li, L, Lin, K, Magnus, P, Magnusson, PKE, Mallard, TT, Martikainen, P, Mills, MC, Njolstad, PR, Overton, JD, Pedersen, NL, Porteous, DJ, Reid, J, Silventoinen, K, Southey, MC, Stoltenberg, C, Tucker-Drob, EM, Wright, MJ, Hewitt, JK, Keller, MC, Stallings, MC, Lee, JJ, Christensen, K, Kardia, SLR, Peyser, PA, Smith, JA, Wilson, JF, Hopper, JL, Hagg, S, Spector, TD, Pingault, J-B, Plomin, R, Havdahl, A, Bartels, M, Martin, NG, Oskarsson, S, Justice, AE, Millwood, IY, Hveem, K, Naess, O, Willer, CJ, Asvold, BO, Koellinger, PD, Kaprio, J, Medland, SE, Walters, RG, Benjamin, DJ, Turley, P, Evans, DM, Smith, GD, Hayward, C, Brumpton, B, Hemani, G, Davies, NM, Howe, LJ, Nivard, MG, Morris, TT, Hansen, AF, Rasheed, H, Cho, Y, Chittoor, G, Ahlskog, R, Lind, PA, Palviainen, T, van der Zee, MD, Cheesman, R, Mangino, M, Wang, Y, Li, S, Klaric, L, Ratliff, SM, Bielak, LF, Nygaard, M, Giannelis, A, Willoughby, EA, Reynolds, CA, Balbona, JV, Andreassen, OA, Ask, H, Baras, A, Bauer, CR, Boomsma, DI, Campbell, A, Campbell, H, Chen, Z, Christofidou, P, Corfield, E, Dahm, CC, Dokuru, DR, Evans, LM, de Geus, EJC, Giddaluru, S, Gordon, SD, Harden, KP, Hill, WD, Hughes, A, Kerr, SM, Kim, Y, Kweon, H, Latvala, A, Lawlor, DA, Li, L, Lin, K, Magnus, P, Magnusson, PKE, Mallard, TT, Martikainen, P, Mills, MC, Njolstad, PR, Overton, JD, Pedersen, NL, Porteous, DJ, Reid, J, Silventoinen, K, Southey, MC, Stoltenberg, C, Tucker-Drob, EM, Wright, MJ, Hewitt, JK, Keller, MC, Stallings, MC, Lee, JJ, Christensen, K, Kardia, SLR, Peyser, PA, Smith, JA, Wilson, JF, Hopper, JL, Hagg, S, Spector, TD, Pingault, J-B, Plomin, R, Havdahl, A, Bartels, M, Martin, NG, Oskarsson, S, Justice, AE, Millwood, IY, Hveem, K, Naess, O, Willer, CJ, Asvold, BO, Koellinger, PD, Kaprio, J, Medland, SE, Walters, RG, Benjamin, DJ, Turley, P, Evans, DM, Smith, GD, Hayward, C, Brumpton, B, Hemani, G, and Davies, NM
- Abstract
Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects.
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- 2022
15. Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis
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Tielbeek, J.J., Uffelmann, E., Williams, B.S., Colodro-Conde, L., Gagnon, É., Mallard, T.T., Levitt, B.E., Jansen, P.R., Johansson, A, Sallis, H.M., Pistis, G., Saunders, G.R.B., Allegrini, A.G., Rimfeld, K., Konte, B., Klein, M., Hartmann, A.M., Salvatore, J.E., Nolte, I.M., Demontis, D., Malmberg, A.L.K., Burt, S.A., Savage, J.E., Sugden, K., Poulton, R., Harris, K.M., Vrieze, S., McGue, M., Iacono, W.G., Roth Mota, N., Mill, J., Viana, J.F., Mitchell, B.L., Morosoli, J.J., Andlauer, T.F.M., Ouellet-Morin, I., Tremblay, R.E., Côté, S.M., Gouin, J.-P., Brendgen, M.R., Dionne, G., Vitaro, F., Lupton, M.K., Martin, N.G., Porjesz, B., Hesselbrock, V., Foroud, T., Agrawal, A., Edenberg, H.J., Liu, Y, Plawecki, M.H., Kuperman, S., Kramer, J.R., Meyers, J.M., Kamarajan, C., Pandey, A., Bierut, L., Rice, J., Bucholz, K.K., Schuckit, M.A., Tischfield, J., Hart, R., Almasy, L., Goate, A., Slesinger, P., Scott, D., Castelao, E., Räikkönen, K., Eriksson, J.G., Lahti, J., Hartman, C.A, Oldehinkel, A.J., Snieder, H., Liu, H., Preisig, M., Whipp, A., Vuoksimaa, E., Lu, Y., Jern, P., Rujescu, D., Giegling, I., Palviainen, T., Kaprio, J., Harden, K.P., Munafò, M.R., Morneau-Vaillancourt, G., Plomin, R., Viding, E., Boutwell, B.B., Aliev, F., Dick, D.M., Popma, A., Faraone, S.V, Børglum, A.D., Medland, S.E., Franke, B., Boivin, M., Pingault, J.-B., Glennon, J.C., Barnes, J.C., Fisher, S.E., Tielbeek, J.J., Uffelmann, E., Williams, B.S., Colodro-Conde, L., Gagnon, É., Mallard, T.T., Levitt, B.E., Jansen, P.R., Johansson, A, Sallis, H.M., Pistis, G., Saunders, G.R.B., Allegrini, A.G., Rimfeld, K., Konte, B., Klein, M., Hartmann, A.M., Salvatore, J.E., Nolte, I.M., Demontis, D., Malmberg, A.L.K., Burt, S.A., Savage, J.E., Sugden, K., Poulton, R., Harris, K.M., Vrieze, S., McGue, M., Iacono, W.G., Roth Mota, N., Mill, J., Viana, J.F., Mitchell, B.L., Morosoli, J.J., Andlauer, T.F.M., Ouellet-Morin, I., Tremblay, R.E., Côté, S.M., Gouin, J.-P., Brendgen, M.R., Dionne, G., Vitaro, F., Lupton, M.K., Martin, N.G., Porjesz, B., Hesselbrock, V., Foroud, T., Agrawal, A., Edenberg, H.J., Liu, Y, Plawecki, M.H., Kuperman, S., Kramer, J.R., Meyers, J.M., Kamarajan, C., Pandey, A., Bierut, L., Rice, J., Bucholz, K.K., Schuckit, M.A., Tischfield, J., Hart, R., Almasy, L., Goate, A., Slesinger, P., Scott, D., Castelao, E., Räikkönen, K., Eriksson, J.G., Lahti, J., Hartman, C.A, Oldehinkel, A.J., Snieder, H., Liu, H., Preisig, M., Whipp, A., Vuoksimaa, E., Lu, Y., Jern, P., Rujescu, D., Giegling, I., Palviainen, T., Kaprio, J., Harden, K.P., Munafò, M.R., Morneau-Vaillancourt, G., Plomin, R., Viding, E., Boutwell, B.B., Aliev, F., Dick, D.M., Popma, A., Faraone, S.V, Børglum, A.D., Medland, S.E., Franke, B., Boivin, M., Pingault, J.-B., Glennon, J.C., Barnes, J.C., and Fisher, S.E.
- Abstract
Item does not contain fulltext
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- 2022
16. Polygenic risk for mental disorder reveals distinct association profiles across social behaviour in the general population
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Schlag, F.H., Allegrini, A.G., Buitelaar, J.K., Verhoef, E., Donkelaar, M.M.J. van, Plomin, R., Rimfeld, K., Fisher, S.E., St Pourcain, B., Schlag, F.H., Allegrini, A.G., Buitelaar, J.K., Verhoef, E., Donkelaar, M.M.J. van, Plomin, R., Rimfeld, K., Fisher, S.E., and St Pourcain, B.
- Abstract
Contains fulltext : 251382.pdf (Publisher’s version ) (Open Access), Many mental health conditions present a spectrum of social difficulties that overlaps with social behaviour in the general population including shared but little characterised genetic links. Here, we systematically investigate heterogeneity in shared genetic liabilities with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorders (ASD), bipolar disorder (BP), major depression (MD) and schizophrenia across a spectrum of different social symptoms. Longitudinally assessed low-prosociality and peer-problem scores in two UK population-based cohorts (4-17 years; parent- and teacher-reports; Avon Longitudinal Study of Parents and Children(ALSPAC): N ≤ 6,174; Twins Early Development Study(TEDS): N ≤ 7,112) were regressed on polygenic risk scores for disorder, as informed by genome-wide summary statistics from large consortia, using negative binomial regression models. Across ALSPAC and TEDS, we replicated univariate polygenic associations between social behaviour and risk for ADHD, MD and schizophrenia. Modelling variation in univariate genetic effects jointly using random-effect meta-regression revealed evidence for polygenic links between social behaviour and ADHD, ASD, MD, and schizophrenia risk, but not BP. Differences in age, reporter and social trait captured 45-88% in univariate effect variation. Cross-disorder adjusted analyses demonstrated that age-related heterogeneity in univariate effects is shared across mental health conditions, while reporter- and social trait-specific heterogeneity captures disorder-specific profiles. In particular, ADHD, MD, and ASD polygenic risk were more strongly linked to peer problems than low prosociality, while schizophrenia was associated with low prosociality only. The identified association profiles suggest differences in the social genetic architecture across mental disorders when investigating polygenic overlap with population-based social symptoms spanning 13 years of child and adolescent development.
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- 2022
17. Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts
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Silventoinen, K, Li, W, Jelenkovic, A, Sund, R, Yokoyama, Y, Aaltonen, S, Piirtola, M, Sugawara, M, Tanaka, M, Matsumoto, S, Baker, LA, Tuvblad, C, Tynelius, P, Rasmussen, F, Craig, JM, Saffery, R, Willemsen, G, Bartels, M, van Beijsterveldt, CEM, Martin, NG, Medland, SE, Montgomery, GW, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Christensen, K, Skytthe, A, Kyvik, KO, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Ullemar, V, Almqvist, C, Magnusson, PKE, Corley, RP, Huibregtse, BM, Knafo-Noam, A, Mankuta, D, Abramson, L, Haworth, CMA, Plomin, R, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Duncan, GE, Buchwald, D, Burt, SA, Klump, KL, Llewellyn, CH, Fisher, A, Boomsma, D, Sorensen, TIA, Kaprio, J, Silventoinen, K, Li, W, Jelenkovic, A, Sund, R, Yokoyama, Y, Aaltonen, S, Piirtola, M, Sugawara, M, Tanaka, M, Matsumoto, S, Baker, LA, Tuvblad, C, Tynelius, P, Rasmussen, F, Craig, JM, Saffery, R, Willemsen, G, Bartels, M, van Beijsterveldt, CEM, Martin, NG, Medland, SE, Montgomery, GW, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Christensen, K, Skytthe, A, Kyvik, KO, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Ullemar, V, Almqvist, C, Magnusson, PKE, Corley, RP, Huibregtse, BM, Knafo-Noam, A, Mankuta, D, Abramson, L, Haworth, CMA, Plomin, R, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Duncan, GE, Buchwald, D, Burt, SA, Klump, KL, Llewellyn, CH, Fisher, A, Boomsma, D, Sorensen, TIA, and Kaprio, J
- Abstract
BACKGROUND: Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height. METHODS: We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age. RESULTS: The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood. CONCLUSIONS: Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity.
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- 2022
18. Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people
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Eising, E, Mirza-Schreiber, N, de Zeeuw, EL, Wang, CA, Truong, DT, Allegrini, AG, Shapland, CY, Zhu, G, Wigg, KG, Gerritse, ML, Molz, B, Alagoz, G, Gialluisi, A, Abbondanza, F, Rimfeld, K, van Donkelaar, M, Liao, Z, Jansen, PR, Andlauer, TFM, Bates, TC, Bernard, M, Blokland, K, Bonte, M, Borglum, AD, Bourgeron, T, Brandeis, D, Ceronihh, F, Csepe, V, Dale, PS, de Jong, PF, DeFries, JC, Demonet, J-F, Demontis, D, Feng, Y, Gordon, SD, Guger, SL, Hayiou-Thomas, ME, Hernandez-Cabrera, JA, Hottenga, J-J, Hulme, C, Kere, J, Kerr, EN, Koomar, T, Landerl, K, Leonard, GT, Lovett, MW, Lyytinen, H, Martin, NG, Martinelli, A, Maurer, U, Michaelson, JJ, Moll, K, Monaco, AP, Morgan, AT, Nothen, MM, Pausova, Z, Pennell, CE, Pennington, BF, Price, KM, Rajagopal, VM, Ramus, F, Richer, L, Simpson, NH, Smith, SD, Snowling, MJ, Stein, J, Struguuu, LJ, Talcott, JB, Tiemeier, H, van der Schroeff, MP, Verhoef, E, Watkins, KE, Wilkinson, M, Wright, MJ, Barr, CL, Boomsma, D, Carreiras, M, Franken, M-CJ, Gruen, JR, Luciano, M, Muller-Myhsok, B, Newbury, DF, Olson, RK, Paracchini, S, Paus, T, Plomin, R, Reilly, S, Schulte-Korn, G, Tomblin, JB, Bergen, E, Whitehouse, AJO, Willcutt, EG, St Pourcain, B, Francks, C, Fisher, SE, Eising, E, Mirza-Schreiber, N, de Zeeuw, EL, Wang, CA, Truong, DT, Allegrini, AG, Shapland, CY, Zhu, G, Wigg, KG, Gerritse, ML, Molz, B, Alagoz, G, Gialluisi, A, Abbondanza, F, Rimfeld, K, van Donkelaar, M, Liao, Z, Jansen, PR, Andlauer, TFM, Bates, TC, Bernard, M, Blokland, K, Bonte, M, Borglum, AD, Bourgeron, T, Brandeis, D, Ceronihh, F, Csepe, V, Dale, PS, de Jong, PF, DeFries, JC, Demonet, J-F, Demontis, D, Feng, Y, Gordon, SD, Guger, SL, Hayiou-Thomas, ME, Hernandez-Cabrera, JA, Hottenga, J-J, Hulme, C, Kere, J, Kerr, EN, Koomar, T, Landerl, K, Leonard, GT, Lovett, MW, Lyytinen, H, Martin, NG, Martinelli, A, Maurer, U, Michaelson, JJ, Moll, K, Monaco, AP, Morgan, AT, Nothen, MM, Pausova, Z, Pennell, CE, Pennington, BF, Price, KM, Rajagopal, VM, Ramus, F, Richer, L, Simpson, NH, Smith, SD, Snowling, MJ, Stein, J, Struguuu, LJ, Talcott, JB, Tiemeier, H, van der Schroeff, MP, Verhoef, E, Watkins, KE, Wilkinson, M, Wright, MJ, Barr, CL, Boomsma, D, Carreiras, M, Franken, M-CJ, Gruen, JR, Luciano, M, Muller-Myhsok, B, Newbury, DF, Olson, RK, Paracchini, S, Paus, T, Plomin, R, Reilly, S, Schulte-Korn, G, Tomblin, JB, Bergen, E, Whitehouse, AJO, Willcutt, EG, St Pourcain, B, Francks, C, and Fisher, SE
- Abstract
The use of spoken and written language is a fundamental human capacity. Individual differences in reading- and language-related skills are influenced by genetic variation, with twin-based heritability estimates of 30 to 80% depending on the trait. The genetic architecture is complex, heterogeneous, and multifactorial, but investigations of contributions of single-nucleotide polymorphisms (SNPs) were thus far underpowered. We present a multicohort genome-wide association study (GWAS) of five traits assessed individually using psychometric measures (word reading, nonword reading, spelling, phoneme awareness, and nonword repetition) in samples of 13,633 to 33,959 participants aged 5 to 26 y. We identified genome-wide significant association with word reading (rs11208009, P = 1.098 × 10-8) at a locus that has not been associated with intelligence or educational attainment. All five reading-/language-related traits showed robust SNP heritability, accounting for 13 to 26% of trait variability. Genomic structural equation modeling revealed a shared genetic factor explaining most of the variation in word/nonword reading, spelling, and phoneme awareness, which only partially overlapped with genetic variation contributing to nonword repetition, intelligence, and educational attainment. A multivariate GWAS of word/nonword reading, spelling, and phoneme awareness maximized power for follow-up investigation. Genetic correlation analysis with neuroimaging traits identified an association with the surface area of the banks of the left superior temporal sulcus, a brain region linked to the processing of spoken and written language. Heritability was enriched for genomic elements regulating gene expression in the fetal brain and in chromosomal regions that are depleted of Neanderthal variants. Together, these results provide avenues for deciphering the biological underpinnings of uniquely human traits.
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- 2022
19. Genome-wide association meta-analysis of childhood and adolescent internalizing symptoms
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Jami, E. S. (Eshim S.), Hammerschlag, A. R. (Anke R.), Ip, H. F. (Hill F.), Allegrini, A. G. (Andrea G.), Benyamin, B. (Beben), Border, R. (Richard), Diemer, E. W. (Elizabeth W.), Jiang, C. (Chang), Karhunen, V. (Ville), Lu, Y. (Yi), Lu, Q. (Qing), Mallard, T. T. (Travis T.), Mishra, P. P. (Pashupati P.), Nolte, I. M. (Ilja M.), Palviainen, T. (Teemu), Peterson, R. E. (Roseann E.), Sallis, H. M. (Hannah M.), Shabalin, A. A. (Andrey A.), Tate, A. E. (Ashley E.), Thiering, E. (Elisabeth), Vilor-Tejedor, N. (Natalia), Wang, C. (Carol), Zhou, A. (Ang), Adkins, D. E. (Daniel E.), Alemany, S. (Silvia), Ask, H. (Helga), Chen, Q. (Qi), Corley, R. P. (Robin P.), Ehli, E. A. (Erik A.), Evans, L. M. (Luke M.), Havdahl, A. (Alexandra), Hagenbeek, F. A. (Fiona A.), Hakulinen, C. (Christian), Henders, A. K. (Anjali K.), Hottenga, J. J. (Jouke Jan), Korhonen, T. (Tellervo), Mamun, A. (Abdullah), Marrington, S. (Shelby), Neumann, A. (Alexander), Rimfeld, K. (Kaili), Rivadeneira, F. (Fernando), Silberg, J. L. (Judy L.), van Beijsterveldt, C. E. (Catharina E.), Vuoksimaa, E. (Eero), Whipp, A. M. (Alyce M.), Tong, X. (Xiaoran), Andreassen, O. A. (Ole A.), Boomsma, D. I. (Dorret, I), Brown, S. A. (Sandra A.), Burt, S. A. (S. Alexandra), Copeland, W. (William), Dick, D. M. (Danielle M.), Harden, K. P. (K. Paige), Harris, K. M. (Kathleen Mullan), Hartman, C. A. (Catharina A.), Heinrich, J. (Joachim), Hewitt, J. K. (John K.), Hopfer, C. (Christian), Hypponen, E. (Elina), Järvelin, M.-R. (Marjo-Riitta), Kaprio, J. (Jaakko), Keltikangas-Jarvinen, L. (Liisa), Klump, K. L. (Kelly L.), Krauter, K. (Kenneth), Kuja-Halkola, R. (Ralf), Larsson, H. (Henrik), Lehtimaki, T. (Terho), Lichtenstein, P. (Paul), Lundstrom, S. (Sebastian), Maes, H. H. (Hermine H.), Magnus, P. (Per), Munafo, M. R. (Marcus R.), Najman, J. M. (Jake M.), Njolstad, P. R. (Pal R.), Oldehinkel, A. J. (Albertine J.), Pennell, C. E. (Craig E.), Plomin, R. (Robert), Reichborn-Kjennerud, T. (Ted), Reynolds, C. (Chandra), Rose, R. J. (Richard J.), Smolen, A. (Andrew), Snieder, H. (Harold), Stallings, M. (Michael), Standl, M. (Marie), Sunyer, J. (Jordi), Tiemeier, H. (Henning), Wadsworth, S. J. (Sally J.), Wall, T. L. (Tamara L.), Whitehouse, A. J. (Andrew J. O.), Williams, G. M. (Gail M.), Ystrom, E. (Eivind), Nivard, M. G. (Michel G.), Bartels, M. (Meike), Middeldorp, C. M. (Christel M.), Jami, E. S. (Eshim S.), Hammerschlag, A. R. (Anke R.), Ip, H. F. (Hill F.), Allegrini, A. G. (Andrea G.), Benyamin, B. (Beben), Border, R. (Richard), Diemer, E. W. (Elizabeth W.), Jiang, C. (Chang), Karhunen, V. (Ville), Lu, Y. (Yi), Lu, Q. (Qing), Mallard, T. T. (Travis T.), Mishra, P. P. (Pashupati P.), Nolte, I. M. (Ilja M.), Palviainen, T. (Teemu), Peterson, R. E. (Roseann E.), Sallis, H. M. (Hannah M.), Shabalin, A. A. (Andrey A.), Tate, A. E. (Ashley E.), Thiering, E. (Elisabeth), Vilor-Tejedor, N. (Natalia), Wang, C. (Carol), Zhou, A. (Ang), Adkins, D. E. (Daniel E.), Alemany, S. (Silvia), Ask, H. (Helga), Chen, Q. (Qi), Corley, R. P. (Robin P.), Ehli, E. A. (Erik A.), Evans, L. M. (Luke M.), Havdahl, A. (Alexandra), Hagenbeek, F. A. (Fiona A.), Hakulinen, C. (Christian), Henders, A. K. (Anjali K.), Hottenga, J. J. (Jouke Jan), Korhonen, T. (Tellervo), Mamun, A. (Abdullah), Marrington, S. (Shelby), Neumann, A. (Alexander), Rimfeld, K. (Kaili), Rivadeneira, F. (Fernando), Silberg, J. L. (Judy L.), van Beijsterveldt, C. E. (Catharina E.), Vuoksimaa, E. (Eero), Whipp, A. M. (Alyce M.), Tong, X. (Xiaoran), Andreassen, O. A. (Ole A.), Boomsma, D. I. (Dorret, I), Brown, S. A. (Sandra A.), Burt, S. A. (S. Alexandra), Copeland, W. (William), Dick, D. M. (Danielle M.), Harden, K. P. (K. Paige), Harris, K. M. (Kathleen Mullan), Hartman, C. A. (Catharina A.), Heinrich, J. (Joachim), Hewitt, J. K. (John K.), Hopfer, C. (Christian), Hypponen, E. (Elina), Järvelin, M.-R. (Marjo-Riitta), Kaprio, J. (Jaakko), Keltikangas-Jarvinen, L. (Liisa), Klump, K. L. (Kelly L.), Krauter, K. (Kenneth), Kuja-Halkola, R. (Ralf), Larsson, H. (Henrik), Lehtimaki, T. (Terho), Lichtenstein, P. (Paul), Lundstrom, S. (Sebastian), Maes, H. H. (Hermine H.), Magnus, P. (Per), Munafo, M. R. (Marcus R.), Najman, J. M. (Jake M.), Njolstad, P. R. (Pal R.), Oldehinkel, A. J. (Albertine J.), Pennell, C. E. (Craig E.), Plomin, R. (Robert), Reichborn-Kjennerud, T. (Ted), Reynolds, C. (Chandra), Rose, R. J. (Richard J.), Smolen, A. (Andrew), Snieder, H. (Harold), Stallings, M. (Michael), Standl, M. (Marie), Sunyer, J. (Jordi), Tiemeier, H. (Henning), Wadsworth, S. J. (Sally J.), Wall, T. L. (Tamara L.), Whitehouse, A. J. (Andrew J. O.), Williams, G. M. (Gail M.), Ystrom, E. (Eivind), Nivard, M. G. (Michel G.), Bartels, M. (Meike), and Middeldorp, C. M. (Christel M.)
- Abstract
Objective: To investigate the genetic architecture of internalizing symptoms in childhood and adolescence. Method: In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument. Results: The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84–2.48%, neffective = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%–8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (|rg| < 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range |rg| = 0.42–0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. Conclusion: Genetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.
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- 2022
20. Predicting educational achievement from DNA
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Selzam, S, Krapohl, E, von Stumm, S, OʼReilly, P F, Rimfeld, K, Kovas, Y, Dale, P S, Lee, J J, and Plomin, R
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- 2017
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- View/download PDF
21. Genetic link between family socioeconomic status and childrenʼs educational achievement estimated from genome-wide SNPs
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Krapohl, E and Plomin, R
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- 2016
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- View/download PDF
22. Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
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Romagnoni, A., Jegou, S., Van Steen, K., Wainrib, G., Hugot, J. -P., Peyrin-Biroulet, L., Chamaillard, M., Colombel, J. -F., Cottone, M., D'Amato, M., D'Inca, R., Halfvarson, J., Henderson, P., Karban, A., Kennedy, N. A., Khan, M. A., Lemann, M., Levine, A., Massey, D., Milla, M., S. M. E., Ng, Oikonomou, I., Peeters, H., Proctor, D. D., Rahier, J. -F., Rutgeerts, P., Seibold, F., Stronati, L., Taylor, K. M., Torkvist, L., Ublick, K., Van Limbergen, J., Van Gossum, A., Vatn, M. H., Zhang, H., Zhang, W., Andrews, J. M., Bampton, P. A., Barclay, M., Florin, T. H., Gearry, R., Krishnaprasad, K., Lawrance, I. C., Mahy, G., Montgomery, G. W., Radford-Smith, G., Roberts, R. L., Simms, L. A., Hanigan, K., Croft, A., Amininijad, L., Cleynen, I., Dewit, O., Franchimont, D., Georges, M., Laukens, D., Theatre, E., Vermeire, S., Aumais, G., Baidoo, L., Barrie, A. M., Beck, K., Bernard, E. -J., Binion, D. G., Bitton, A., Brant, S. R., Cho, J. H., Cohen, A., Croitoru, K., Daly, M. J., Datta, L. W., Deslandres, C., Duerr, R. H., Dutridge, D., Ferguson, J., Fultz, J., Goyette, P., Greenberg, G. R., Haritunians, T., Jobin, G., Katz, S., Lahaie, R. G., Mcgovern, D. P., Nelson, L., S. M., Ng, Ning, K., Pare, P., Regueiro, M. D., Rioux, J. D., Ruggiero, E., Schumm, L. P., Schwartz, M., Scott, R., Sharma, Y., Silverberg, M. S., Spears, D., Steinhart, A. H., Stempak, J. M., Swoger, J. M., Tsagarelis, C., Zhang, C., Zhao, H., Aerts, J., Ahmad, T., Arbury, H., Attwood, A., Auton, A., Ball, S. G., Balmforth, A. J., Barnes, C., Barrett, J. C., Barroso, I., Barton, A., Bennett, A. J., Bhaskar, S., Blaszczyk, K., Bowes, J., Brand, O. J., Braund, P. S., Bredin, F., Breen, G., Brown, M. J., Bruce, I. N., Bull, J., Burren, O. S., Burton, J., Byrnes, J., Caesar, S., Cardin, N., Clee, C. M., Coffey, A. J., MC Connell, J., Conrad, D. F., Cooper, J. D., Dominiczak, A. F., Downes, K., Drummond, H. E., Dudakia, D., Dunham, A., Ebbs, B., Eccles, D., Edkins, S., Edwards, C., Elliot, A., Emery, P., Evans, D. M., Evans, G., Eyre, S., Farmer, A., Ferrier, I. N., Flynn, E., Forbes, A., Forty, L., Franklyn, J. A., Frayling, T. M., Freathy, R. M., Giannoulatou, E., Gibbs, P., Gilbert, P., Gordon-Smith, K., Gray, E., Green, E., Groves, C. J., Grozeva, D., Gwilliam, R., Hall, A., Hammond, N., Hardy, M., Harrison, P., Hassanali, N., Hebaishi, H., Hines, S., Hinks, A., Hitman, G. A., Hocking, L., Holmes, C., Howard, E., Howard, P., Howson, J. M. M., Hughes, D., Hunt, S., Isaacs, J. D., Jain, M., Jewell, D. P., Johnson, T., Jolley, J. D., Jones, I. R., Jones, L. A., Kirov, G., Langford, C. F., Lango-Allen, H., Lathrop, G. M., Lee, J., Lee, K. L., Lees, C., Lewis, K., Lindgren, C. M., Maisuria-Armer, M., Maller, J., Mansfield, J., Marchini, J. L., Martin, P., Massey, D. C., Mcardle, W. L., Mcguffin, P., Mclay, K. E., Mcvean, G., Mentzer, A., Mimmack, M. L., Morgan, A. E., Morris, A. P., Mowat, C., Munroe, P. B., Myers, S., Newman, W., Nimmo, E. R., O'Donovan, M. C., Onipinla, A., Ovington, N. R., Owen, M. J., Palin, K., Palotie, A., Parnell, K., Pearson, R., Pernet, D., Perry, J. R., Phillips, A., Plagnol, V., Prescott, N. J., Prokopenko, I., Quail, M. A., Rafelt, S., Rayner, N. W., Reid, D. M., Renwick, A., Ring, S. M., Robertson, N., Robson, S., Russell, E., Clair, D. S., Sambrook, J. G., Sanderson, J. D., Sawcer, S. J., Schuilenburg, H., Scott, C. E., Seal, S., Shaw-Hawkins, S., Shields, B. M., Simmonds, M. J., Smyth, D. J., Somaskantharajah, E., Spanova, K., Steer, S., Stephens, J., Stevens, H. E., Stirrups, K., Stone, M. A., Strachan, D. P., Su, Z., Symmons, D. P. M., Thompson, J. R., Thomson, W., Tobin, M. D., Travers, M. E., Turnbull, C., Vukcevic, D., Wain, L. V., Walker, M., Walker, N. M., Wallace, C., Warren-Perry, M., Watkins, N. A., Webster, J., Weedon, M. N., Wilson, A. G., Woodburn, M., Wordsworth, B. P., Yau, C., Young, A. H., Zeggini, E., Brown, M. A., Burton, P. R., Caulfield, M. J., Compston, A., Farrall, M., Gough, S. C. L., Hall, A. S., Hattersley, A. T., Hill, A. V. S., Mathew, C. G., Pembrey, M., Satsangi, J., Stratton, M. R., Worthington, J., Hurles, M. E., Duncanson, A., Ouwehand, W. H., Parkes, M., Rahman, N., Todd, J. A., Samani, N. J., Kwiatkowski, D. P., Mccarthy, M. I., Craddock, N., Deloukas, P., Donnelly, P., Blackwell, J. M., Bramon, E., Casas, J. P., Corvin, A., Jankowski, J., Markus, H. S., Palmer, C. N., Plomin, R., Rautanen, A., Trembath, R. C., Viswanathan, A. C., Wood, N. W., Spencer, C. C. A., Band, G., Bellenguez, C., Freeman, C., Hellenthal, G., Pirinen, M., Strange, A., Blackburn, H., Bumpstead, S. J., Dronov, S., Gillman, M., Jayakumar, A., Mccann, O. T., Liddle, J., Potter, S. C., Ravindrarajah, R., Ricketts, M., Waller, M., Weston, P., Widaa, S., Whittaker, P., Romagnoni, A., Jegou, S., Van Steen, K., Wainrib, G., Hugot, J. -P., Peyrin-Biroulet, L., Chamaillard, M., Colombel, J. -F., Cottone, M., D'Amato, M., D'Inca, R., Halfvarson, J., Henderson, P., Karban, A., Kennedy, N. A., Khan, M. A., Lemann, M., Levine, A., Massey, D., Milla, M., Ng, S. M. E., Oikonomou, I., Peeters, H., Proctor, D. D., Rahier, J. -F., Rutgeerts, P., Seibold, F., Stronati, L., Taylor, K. M., Torkvist, L., Ublick, K., Van Limbergen, J., Van Gossum, A., Vatn, M. H., Zhang, H., Zhang, W., Andrews, J. M., Bampton, P. A., Barclay, M., Florin, T. H., Gearry, R., Krishnaprasad, K., Lawrance, I. C., Mahy, G., Montgomery, G. W., Radford-Smith, G., Roberts, R. L., Simms, L. A., Hanigan, K., Croft, A., Amininijad, L., Cleynen, I., Dewit, O., Franchimont, D., Georges, M., Laukens, D., Theatre, E., Vermeire, S., Aumais, G., Baidoo, L., Barrie, A. M., Beck, K., Bernard, E. -J., Binion, D. G., Bitton, A., Brant, S. R., Cho, J. H., Cohen, A., Croitoru, K., Daly, M. J., Datta, L. W., Deslandres, C., Duerr, R. H., Dutridge, D., Ferguson, J., Fultz, J., Goyette, P., Greenberg, G. R., Haritunians, T., Jobin, G., Katz, S., Lahaie, R. G., Mcgovern, D. P., Nelson, L., Ng, S. M., Ning, K., Pare, P., Regueiro, M. D., Rioux, J. D., Ruggiero, E., Schumm, L. P., Schwartz, M., Scott, R., Sharma, Y., Silverberg, M. S., Spears, D., Steinhart, A. H., Stempak, J. M., Swoger, J. M., Tsagarelis, C., Zhang, C., Zhao, H., Aerts, J., Ahmad, T., Arbury, H., Attwood, A., Auton, A., Ball, S. G., Balmforth, A. J., Barnes, C., Barrett, J. C., Barroso, I., Barton, A., Bennett, A. J., Bhaskar, S., Blaszczyk, K., Bowes, J., Brand, O. J., Braund, P. S., Bredin, F., Breen, G., Brown, M. J., Bruce, I. N., Bull, J., Burren, O. S., Burton, J., Byrnes, J., Caesar, S., Cardin, N., Clee, C. M., Coffey, A. J., MC Connell, J., Conrad, D. F., Cooper, J. D., Dominiczak, A. F., Downes, K., Drummond, H. E., Dudakia, D., Dunham, A., Ebbs, B., Eccles, D., Edkins, S., Edwards, C., Elliot, A., Emery, P., Evans, D. M., Evans, G., Eyre, S., Farmer, A., Ferrier, I. N., Flynn, E., Forbes, A., Forty, L., Franklyn, J. A., Frayling, T. M., Freathy, R. M., Giannoulatou, E., Gibbs, P., Gilbert, P., Gordon-Smith, K., Gray, E., Green, E., Groves, C. J., Grozeva, D., Gwilliam, R., Hall, A., Hammond, N., Hardy, M., Harrison, P., Hassanali, N., Hebaishi, H., Hines, S., Hinks, A., Hitman, G. A., Hocking, L., Holmes, C., Howard, E., Howard, P., Howson, J. M. M., Hughes, D., Hunt, S., Isaacs, J. D., Jain, M., Jewell, D. P., Johnson, T., Jolley, J. D., Jones, I. R., Jones, L. A., Kirov, G., Langford, C. F., Lango-Allen, H., Lathrop, G. M., Lee, J., Lee, K. L., Lees, C., Lewis, K., Lindgren, C. M., Maisuria-Armer, M., Maller, J., Mansfield, J., Marchini, J. L., Martin, P., Massey, D. C., Mcardle, W. L., Mcguffin, P., Mclay, K. E., Mcvean, G., Mentzer, A., Mimmack, M. L., Morgan, A. E., Morris, A. P., Mowat, C., Munroe, P. B., Myers, S., Newman, W., Nimmo, E. R., O'Donovan, M. C., Onipinla, A., Ovington, N. R., Owen, M. J., Palin, K., Palotie, A., Parnell, K., Pearson, R., Pernet, D., Perry, J. R., Phillips, A., Plagnol, V., Prescott, N. J., Prokopenko, I., Quail, M. A., Rafelt, S., Rayner, N. W., Reid, D. M., Renwick, A., Ring, S. M., Robertson, N., Robson, S., Russell, E., Clair, D. S., Sambrook, J. G., Sanderson, J. D., Sawcer, S. J., Schuilenburg, H., Scott, C. E., Seal, S., Shaw-Hawkins, S., Shields, B. M., Simmonds, M. J., Smyth, D. J., Somaskantharajah, E., Spanova, K., Steer, S., Stephens, J., Stevens, H. E., Stirrups, K., Stone, M. A., Strachan, D. P., Su, Z., Symmons, D. P. M., Thompson, J. R., Thomson, W., Tobin, M. D., Travers, M. E., Turnbull, C., Vukcevic, D., Wain, L. V., Walker, M., Walker, N. M., Wallace, C., Warren-Perry, M., Watkins, N. A., Webster, J., Weedon, M. N., Wilson, A. G., Woodburn, M., Wordsworth, B. P., Yau, C., Young, A. H., Zeggini, E., Brown, M. A., Burton, P. R., Caulfield, M. J., Compston, A., Farrall, M., Gough, S. C. L., Hall, A. S., Hattersley, A. T., Hill, A. V. S., Mathew, C. G., Pembrey, M., Satsangi, J., Stratton, M. R., Worthington, J., Hurles, M. E., Duncanson, A., Ouwehand, W. H., Parkes, M., Rahman, N., Todd, J. A., Samani, N. J., Kwiatkowski, D. P., Mccarthy, M. I., Craddock, N., Deloukas, P., Donnelly, P., Blackwell, J. M., Bramon, E., Casas, J. P., Corvin, A., Jankowski, J., Markus, H. S., Palmer, C. N., Plomin, R., Rautanen, A., Trembath, R. C., Viswanathan, A. C., Wood, N. W., Spencer, C. C. A., Band, G., Bellenguez, C., Freeman, C., Hellenthal, G., Pirinen, M., Strange, A., Blackburn, H., Bumpstead, S. J., Dronov, S., Gillman, M., Jayakumar, A., Mccann, O. T., Liddle, J., Potter, S. C., Ravindrarajah, R., Ricketts, M., Waller, M., Weston, P., Widaa, S., Whittaker, P., Daly, Mark J. [0000-0002-0949-8752], Apollo - University of Cambridge Repository, Hugot, Jean-Pierre [0000-0002-8446-6056], UCL - SSS/IREC/GAEN - Pôle d'Hépato-gastro-entérologie, UCL - (MGD) Service de gastro-entérologie, Romagnoni, A, Jegou, S, VAN STEEN, Kristel, Wainrib, G, Hugot, JP, Peyrin-Biroulet, L, Chamaillard, M, Colombel, JF, Cottone, M, D'Amato, M, D'Inca, R, Halfvarson, J, Henderson, P, Karban, A, Kennedy, NA, Khan, MA, Lemann, M, Levine, A, Massey, D, Milla, M, Ng, SME, Oikonomou, I, Peeters, H, Proctor, DD, Rahier, JF, Rutgeerts, P, Seibold, F, Stronati, L, Taylor, KM, Torkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, MH, Zhang, H, Zhang, W, Andrews, JM, Bampton, PA, Barclay, M, Florin, TH, Gearry, R, Krishnaprasad, K, Lawrance, IC, Mahy, G, Montgomery, GW, Radford-Smith, G, Roberts, RL, Simms, LA, Hanigan, K, Croft, A, Amininijad, L, Cleynen, I, Dewit, O, Franchimont, D, Georges, M, Laukens, D, Theatre, E, Vermeire, S, Aumais, G, Baidoo, L, Barrie, AM, Beck, K, Bernard, EJ, Binion, DG, Bitton, A, Brant, SR, Cho, JH, Cohen, A, Croitoru, K, Daly, MJ, Datta, LW, Deslandres, C, Duerr, RH, Dutridge, D, Ferguson, J, Fultz, J, Goyette, P, Greenberg, GR, Haritunians, T, Jobin, G, Katz, S, Lahaie, RG, McGovern, DP, Nelson, L, Ng, SM, Ning, K, Pare, P, Regueiro, MD, Rioux, JD, Ruggiero, E, Schumm, LP, Schwartz, M, Scott, R, Sharma, Y, Silverberg, MS, Spears, D, Steinhart, AH, Stempak, JM, Swoger, JM, Tsagarelis, C, Zhang, C, Zhao, HY, AERTS, Jan, Ahmad, T, Arbury, H, Attwood, A, Auton, A, Ball, SG, Balmforth, AJ, Barnes, C, Barrett, JC, Barroso, I, Barton, A, Bennett, AJ, Bhaskar, S, Blaszczyk, K, Bowes, J, Brand, OJ, Braund, PS, Bredin, F, Breen, G, Brown, MJ, Bruce, IN, Bull, J, Burren, OS, Burton, J, Byrnes, J, Caesar, S, Cardin, N, Clee, CM, Coffey, AJ, Mc Connell, J, Conrad, DF, Cooper, JD, Dominiczak, AF, Downes, K, Drummond, HE, Dudakia, D, Dunham, A, Ebbs, B, Eccles, D, Edkins, S, Edwards, C, Elliot, A, Emery, P, Evans, DM, Evans, G, Eyre, S, Farmer, A, Ferrier, IN, Flynn, E, Forbes, A, Forty, L, Franklyn, JA, Frayling, TM, Freathy, RM, Giannoulatou, E, Gibbs, P, Gilbert, P, Gordon-Smith, K, Gray, E, Green, E, Groves, CJ, Grozeva, D, Gwilliam, R, Hall, A, Hammond, N, Hardy, M, Harrison, P, Hassanali, N, Hebaishi, H, Hines, S, Hinks, A, Hitman, GA, Hocking, L, Holmes, C, Howard, E, Howard, P, Howson, JMM, Hughes, D, Hunt, S, Isaacs, JD, Jain, M, Jewell, DP, Johnson, T, Jolley, JD, Jones, IR, Jones, LA, Kirov, G, Langford, CF, Lango-Allen, H, Lathrop, GM, Lee, J, Lee, KL, Lees, C, Lewis, K, Lindgren, CM, Maisuria-Armer, M, Maller, J, Mansfield, J, Marchini, JL, Martin, P, Massey, DCO, McArdle, WL, McGuffin, P, McLay, KE, McVean, G, Mentzer, A, Mimmack, ML, Morgan, AE, Morris, AP, Mowat, C, Munroe, PB, Myers, S, Newman, W, Nimmo, ER, O'Donovan, MC, Onipinla, A, Ovington, NR, Owen, MJ, Palin, K, Palotie, A, Parnell, K, Pearson, R, Pernet, D, Perry, JRB, Phillips, A, Plagnol, V, Prescott, NJ, Prokopenko, I, Quail, MA, Rafelt, S, Rayner, NW, Reid, DM, Renwick, A, Ring, SM, Robertson, N, Robson, S, Russell, E, St Clair, D, Sambrook, JG, Sanderson, JD, Sawcer, SJ, Schuilenburg, H, Scott, CE, Seal, S, Shaw-Hawkins, S, Shields, BM, Simmonds, MJ, Smyth, DJ, Somaskantharajah, E, Spanova, K, Steer, S, Stephens, J, Stevens, HE, Stirrups, K, Stone, MA, Strachan, DP, Su, Z, Symmons, DPM, Thompson, JR, Thomson, W, Tobin, MD, Travers, ME, Turnbull, C, Vukcevic, D, Wain, LV, Walker, M, Walker, NM, Wallace, C, Warren-Perry, M, Watkins, NA, Webster, J, Weedon, MN, Wilson, AG, Woodburn, M, Wordsworth, BP, Yau, C, Young, AH, Zeggini, E, Brown, MA, Burton, PR, Caulfield, MJ, Compston, A, Farrall, M, Gough, SCL, Hall, AS, Hattersley, AT, Hill, AVS, Mathew, CG, Pembrey, M, Satsangi, J, Stratton, MR, Worthington, J, Hurles, ME, Duncanson, A, Ouwehand, WH, Parkes, M, Rahman, N, Todd, JA, Samani, NJ, Kwiatkowski, DP, McCarthy, MI, Craddock, N, Deloukas, P, Donnelly, P, Blackwell, JM, Bramon, E, Casas, JP, Corvin, A, Jankowski, J, Markus, HS, Palmer, CNA, Plomin, R, Rautanen, A, Trembath, RC, Viswanathan, AC, Wood, NW, Spencer, CCA, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Pirinen, M, Strange, A, Blackburn, H, Bumpstead, SJ, Dronov, S, Gillman, M, Jayakumar, A, McCann, OT, Liddle, J, Potter, SC, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, and Kwiatkowski, D
- Subjects
Male ,692/4020/1503/257/1402 ,Genotype ,Genotyping Techniques ,LOCI ,45/43 ,lcsh:Medicine ,Polymorphism, Single Nucleotide ,Crohn's disease, genetics, genome wide association ,Article ,Deep Learning ,Crohn Disease ,INDEL Mutation ,Genetics research ,Humans ,genetics ,Genetic Predisposition to Disease ,129 ,lcsh:Science ,Alleles ,Science & Technology ,genome wide association ,RISK PREDICTION ,45 ,Models, Genetic ,lcsh:R ,Decision Trees ,692/308/2056 ,ASSOCIATION ,Multidisciplinary Sciences ,Crohn's disease ,Logistic Models ,Nonlinear Dynamics ,ROC Curve ,Area Under Curve ,Science & Technology - Other Topics ,lcsh:Q ,Female ,Neural Networks, Computer ,INFLAMMATORY-BOWEL-DISEASE ,Genome-Wide Association Study - Abstract
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers. Tis work was supported by Fondation pour la Recherche Médical (ref DEI20151234405) and Investissements d’Avenir programme ANR-11-IDEX-0005-02, Sorbonne Paris Cite, Laboratoire d’excellence INFLAMEX. Te authors thank the students that participated to the wisdom of the crowd exercise.
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23. GENESiS: Creating a Composite Index of the Vulnerability to Anxiety and Depression in a Community-based Sample of Siblings
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Sham, PC, Sterne, A, Purcell, S, Cherny, S, Webster, M, Rijsdijk, F, Asherson, P, Ball, D, Craig, I, Eley, T, Goldberg, D, Gray, J, Mann, A, Owen, M, and Plomin, R
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24. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L
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Benyamin, B, Pourcain, BSt, Davis, O S, Davies, G, Hansell, N K, Brion, M-JA, Kirkpatrick, R M, Cents, R A M, Franić, S, Miller, M B, Haworth, C M A, Meaburn, E, Price, T S, Evans, D M, Timpson, N, Kemp, J, Ring, S, McArdle, W, Medland, S E, Yang, J, Harris, S E, Liewald, D C, Scheet, P, Xiao, X, Hudziak, J J, de Geus, E J C, Jaddoe, V W V, Starr, J M, Verhulst, F C, Pennell, C, Tiemeier, H, Iacono, W G, Palmer, L J, Montgomery, G W, Martin, N G, Boomsma, D I, Posthuma, D, McGue, M, Wright, M J, Davey Smith, G, Deary, I J, Plomin, R, and Visscher, P M
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25. A Quantitative Trait Locus Associated with Cognitive Ability in Children
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Chorney, M. J., Chorney, K., Seese, N., Owen, M. J., Daniels, J., McGuffin, P., Thompson, L. A., Detterman, D. K., Benbow, C., Lubinski, D., Eley, T., and Plomin, R.
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26. Genetics and intelligence differences: five special findings
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Plomin, R and Deary, I J
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27. The heritability of general cognitive ability increases linearly from childhood to young adulthood
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Haworth, C M A, Wright, M J, Luciano, M, Martin, N G, de Geus, E J C, van Beijsterveldt, C E M, Bartels, M, Posthuma, D, Boomsma, D I, Davis, O S P, Kovas, Y, Corley, R P, DeFries, J C, Hewitt, J K, Olson, R K, Rhea, S-A, Wadsworth, S J, Iacono, W G, McGue, M, Thompson, L A, Hart, S A, Petrill, S A, Lubinski, D, and Plomin, R
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28. Methylomic analysis of monozygotic twins discordant for autism spectrum disorder and related behavioural traits
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Wong, C CY, Meaburn, E L, Ronald, A, Price, T S, Jeffries, A R, Schalkwyk, L C, Plomin, R, and Mill, J
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29. DNA evidence for strong genetic stability and increasing heritability of intelligence from age 7 to 12
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Trzaskowski, M, Yang, J, Visscher, P M, and Plomin, R
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30. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
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Patsopoulos, NA, Baranzini, SE, Santaniello, A, Shoostari, P, Cotsapas, C, Wong, G, Beecham, AH, James, T, Replogle, J, Vlachos, IS, McCabe, C, Pers, TH, Brandes, A, White, C, Keenan, B, Cimpean, M, Winn, P, Panteliadis, IP, Robbins, A, Andlauer, TFM, Zarzycki, O, Dubois, B, Goris, A, Sondergaard, HB, Sellebjerg, F, Sorensen, PS, Ullum, H, Thorner, LW, Saarela, J, Cournu-Rebeix, I, Damotte, V, Fontaine, B, Guillot-Noel, L, Lathrop, M, Vukusic, S, Berthele, A, Pongratz, V, Gasperi, C, Graetz, C, Grummel, V, Hemmer, B, Hoshi, M, Knier, B, Korn, T, Lill, CM, Luessi, F, Muhlau, M, Zipp, F, Dardiotis, E, Agliardi, C, Amoroso, A, Barizzone, N, Benedetti, MD, Bernardinelli, L, Cavalla, P, Clarelli, F, Comi, G, Cusi, D, Esposito, F, Ferre, L, Galimberti, D, Guaschino, C, Leone, MA, Martinelli, V, Moiola, L, Salvetti, M, Sorosina, M, Vecchio, D, Zauli, A, Santoro, S, Mancini, N, Zuccala, M, Mescheriakova, J, van Duijn, C, Bos, SD, Celius, EG, Spurkland, A, Comabella, M, Montalban, X, Alfredsson, L, Bomfim, IL, Gomez-Cabrero, D, Hillert, J, Jagodic, M, Linden, M, Piehl, F, Jelcic, I, Martin, R, Sospedra, M, Baker, A, Ban, M, Hawkins, C, Hysi, P, Kalra, S, Karpe, F, Khadake, J, Lachance, G, Molyneux, P, Neville, M, Thorpe, J, Bradshaw, E, Caillier, SJ, Calabresi, P, Cree, BAC, Cross, A, Davis, M, de Bakker, PWI, Delgado, S, Dembele, M, Edwards, K, Fitzgerald, K, Frohlich, IY, Gourraud, PA, Haines, JL, Hakonarson, H, Kimbrough, D, Isobe, N, Konidari, I, Lathi, E, Lee, MH, Li, T, An, D, Zimmer, A, Madireddy, L, Manrique, CP, Mitrovic, M, Olah, M, Patrick, E, Pericak-Vance, MA, Piccio, L, Schaefer, C, Weiner, H, Lage, K, Scott, RJ, Lechner-Scott, J, Leal, R, Moscato, P, Booth, DR, Stewart, GJ, Vucic, S, Pame, G, BamettO, M, Mason, D, GriffithS, L, Broadley, S, Tajouri, L, Baxter, A, Slee, M, Taylor, BV, Charlesworth, J, Kilpatrick, TJ, Rubio, J, Jokubaitis, V, Wiley, J, Butzkueven, H, Leslie, S, Motyer, A, Stankovich, J, Carroll, WM, Kermode, AG, Edrin, M, Barclay, M, Peyrin-Biroulet, L, Chamaillard, M, Colombe, JF, Cottone, M, Croft, A, D'Inca, R, Halfvarson, J, Hanigan, K, Henderson, P, Hugot, JP, Karban, A, Kennedy, NA, Khan, MA, Lemann, M, Levine, A, Massey, D, Milla, M, Motoey, GW, Ng, SME, Oikonomnou, J, Peeters, H, Proctor, DD, Rahier, JF, Roberts, R, Rutgeerts, P, Seibold, F, Stronati, L, Taylor, KM, Torkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, MH, Zhang, H, Zhang, W, Donnelly, P, Barroso, I, Blackwe, JM, Bramon, E, Brown, MA, Casas, JP, Corvin, A, Deloukas, P, Duncanson, A, Jankowski, J, Markus, HS, Mathew, CG, Palmer, CNA, Plomin, R, Rautanen, A, Sawcer, SJ, Trembath, RC, Viswanathan, AC, Wood, NW, Spencer, CCA, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Giannoulatou, E, Pirinen, M, Pearson, R, Strange, A, Sul, Z, Vukcevic, DA, Langford, C, Hunt, SE, Edkins, S, Gwilliam, R, Blackburn, H, Bumpstead, SJ, Dronov, S, Gillman, M, Gray, E, Hammond, N, Jayakumar, A, McCann, OT, Liddle, J, Potter, SC, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, Compston, A, Hafler, D, Harbo, HF, Hauser, SL, Stewart, G, D'Alfonso, S, Hadjigeorgiou, G, Taylor, B, Barcellos, LF, Booth, D, Hintzen, R, Kockum, I, Martinelli-Boneschi, F, McCauley, JL, Oksenberg, JR, Oturai, A, Sawcer, S, Ivinson, AJ, Olsson, T, De Jager, PL, Patsopoulos, Na, Baranzini, Se, Santaniello, A, Shoostari, P, Cotsapas, C, Wong, G, Beecham, Ah, James, T, Replogle, J, Vlachos, I, Mccabe, C, Pers, Th, Brandes, A, White, C, Keenan, B, Cimpean, M, Winn, P, Panteliadis, Ip, Robbins, A, Andlauer, Tfm, Zarzycki, O, Dubois, B, Goris, A, Sondergaard, Hb, Sellebjerg, F, Sorensen, P, Ullum, H, Thorner, Lw, Saarela, J, Cournu-Rebeix, I, Damotte, V, Fontaine, B, Guillot-Noel, L, Lathrop, M, Vukusic, S, Berthele, A, Pongratz, V, Gasperi, C, Graetz, C, Grummel, V, Hemmer, B, Hoshi, M, Knier, B, Korn, T, Lill, Cm, Luessi, F, Muhlau, M, Zipp, F, Dardiotis, E, Agliardi, C, Amoroso, A, Barizzone, N, Benedetti, Md, Bernardinelli, L, Cavalla, P, Clarelli, F, Comi, G, Cusi, D, Esposito, F, Ferre, L, Galimberti, D, Guaschino, C, Leone, Ma, Martinelli, V, Moiola, L, Salvetti, M, Sorosina, M, Vecchio, D, Zauli, A, Santoro, S, Mancini, N, Zuccala, M, Mescheriakova, J, van Duijn, C, Bos, Sd, Celius, Eg, Spurkland, A, Comabella, M, Montalban, X, Alfredsson, L, Bomfim, Il, Gomez-Cabrero, D, Hillert, J, Jagodic, M, Linden, M, Piehl, F, Jelcic, I, Martin, R, Sospedra, M, Baker, A, Ban, M, Hawkins, C, Hysi, P, Kalra, S, Karpe, F, Khadake, J, Lachance, G, Molyneux, P, Neville, M, Thorpe, J, Bradshaw, E, Caillier, Sj, Calabresi, P, Cree, Bac, Cross, A, Davis, M, de Bakker, Pwi, Delgado, S, Dembele, M, Edwards, K, Fitzgerald, K, Frohlich, Iy, Gourraud, Pa, Haines, Jl, Hakonarson, H, Kimbrough, D, Isobe, N, Konidari, I, Lathi, E, Lee, Mh, Li, T, An, D, Zimmer, A, Madireddy, L, Manrique, Cp, Mitrovic, M, Olah, M, Patrick, E, Pericak-Vance, Ma, Piccio, L, Schaefer, C, Weiner, H, Lage, K, Scott, Rj, Lechner-Scott, J, Leal, R, Moscato, P, Booth, Dr, Stewart, Gj, Vucic, S, Pame, G, Bametto, M, Mason, D, Griffiths, L, Broadley, S, Tajouri, L, Baxter, A, Slee, M, Taylor, Bv, Charlesworth, J, Kilpatrick, Tj, Rubio, J, Jokubaitis, V, Wiley, J, Butzkueven, H, Leslie, S, Motyer, A, Stankovich, J, Carroll, Wm, Kermode, Ag, Edrin, M, Barclay, M, Peyrin-Biroulet, L, Chamaillard, M, Colombe, Jf, Cottone, M, Croft, A, D'Inca, R, Halfvarson, J, Hanigan, K, Henderson, P, Hugot, Jp, Karban, A, Kennedy, Na, Khan, Ma, Lemann, M, Levine, A, Massey, D, Milla, M, Motoey, Gw, Ng, Sme, Oikonomnou, J, Peeters, H, Proctor, Dd, Rahier, Jf, Roberts, R, Rutgeerts, P, Seibold, F, Stronati, L, Taylor, Km, Torkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, Mh, Zhang, H, Zhang, W, Donnelly, P, Barroso, I, Blackwe, Jm, Bramon, E, Brown, Ma, Casas, Jp, Corvin, A, Deloukas, P, Duncanson, A, Jankowski, J, Markus, H, Mathew, Cg, Palmer, Cna, Plomin, R, Rautanen, A, Sawcer, Sj, Trembath, Rc, Viswanathan, Ac, Wood, Nw, Spencer, Cca, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Giannoulatou, E, Pirinen, M, Pearson, R, Strange, A, Sul, Z, Vukcevic, Da, Langford, C, Hunt, Se, Edkins, S, Gwilliam, R, Blackburn, H, Bumpstead, Sj, Dronov, S, Gillman, M, Gray, E, Hammond, N, Jayakumar, A, Mccann, Ot, Liddle, J, Potter, Sc, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, Compston, A, Hafler, D, Harbo, Hf, Hauser, Sl, Stewart, G, D'Alfonso, S, Hadjigeorgiou, G, Taylor, B, Barcellos, Lf, Booth, D, Hintzen, R, Kockum, I, Martinelli-Boneschi, F, Mccauley, Jl, Oksenberg, Jr, Oturai, A, Sawcer, S, Ivinson, Aj, Olsson, T, De Jager, Pl, Neurology, and Immunology
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0301 basic medicine ,Multiple Sclerosis ,Quantitative Trait Loci ,Inheritance Patterns ,Cell Cycle Proteins ,Genome-wide association study ,Biology ,Major histocompatibility complex ,Polymorphism, Single Nucleotide ,Major Histocompatibility Complex ,Transcriptome ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Gene Frequency ,Autoimmune Process ,medicine ,Humans ,RNA-Seq ,X chromosome ,Genetics ,Chromosomes, Human, X ,Multidisciplinary ,Microglia ,Multiple sclerosis ,GTPase-Activating Proteins ,Chromosome Mapping ,Genomics ,medicine.disease ,3. Good health ,030104 developmental biology ,medicine.anatomical_structure ,Genetic Loci ,Case-Control Studies ,biology.protein ,Genome-Wide Association Study ,030217 neurology & neurosurgery - Abstract
Genetic roots of multiple sclerosis The genetics underlying who develops multiple sclerosis (MS) have been difficult to work out. Examining more than 47,000 cases and 68,000 controls with multiple genome-wide association studies, the International Multiple Sclerosis Genetics Consortium identified more than 200 risk loci in MS (see the Perspective by Briggs). Focusing on the best candidate genes, including a model of the major histocompatibility complex region, the authors identified statistically independent effects at the genome level. Gene expression studies detected that every major immune cell type is enriched for MS susceptibility genes and that MS risk variants are enriched in brain-resident immune cells, especially microglia. Up to 48% of the genetic contribution of MS can be explained through this analysis. Science , this issue p. eaav7188 ; see also p. 1383
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- 2019
31. Overview of CAPICE—childhood and adolescence psychopathology:unravelling the complex etiology by a large interdisciplinary collaboration in Europe—an EU Marie Skłodowska‑Curie International Training Network
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Rajula, H. S. (Hema Sekhar Reddy), Manchia, M. (Mirko), Agarwal, K. (Kratika), Akingbuwa, W. A. (Wonuola A.), Allegrini, A. G. (Andrea G.), Diemer, E. (Elizabeth), Doering, S. (Sabrina), Haan, E. (Elis), Jami, E. S. (Eshim S.), Karhunen, V. (Ville), Leone, M. (Marica), Schellhas, L. (Laura), Thompson, A. (Ashley), van den Berg, S. M. (Stéphanie M.), Bergen, S. E. (Sarah E.), Kuja-Halkola, R. (Ralf), Hammerschlag, A. R. (Anke R.), Järvelin, M. R. (Marjo Riitta), Leval, A. (Amy), Lichtenstein, P. (Paul), Lundstrom, S. (Sebastian), Mauri, M. (Matteo), Munafò, M. R. (Marcus R.), Myers, D. (David), Plomin, R. (Robert), Rimfeld, K. (Kaili), Tiemeier, H. (Henning), Ystrom, E. (Eivind), Fanos, V. (Vassilios), Bartels, M. (Meike), and Middeldorp, C. M. (Christel M.)
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Childhood and adolescence psychopathology ,Depression ,Psychiatric genetics ,Attention deficit hyperactivity disorder (ADHD) ,Anxiety - Abstract
The Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention deficit hyperactivity disorder. CAPICE brings together eight birth and childhood cohorts as well as other cohorts from the EArly Genetics and Life course Epidemiology (EAGLE) consortium, including twin cohorts, with unique longitudinal data on environmental exposures and mental health problems, and genetic data on participants. Here we describe the objectives, summarize the methodological approaches and initial results, and present the dissemination strategy of the CAPICE network. Besides identifying genetic and epigenetic variants associated with these phenotypes, analyses have been performed to shed light on the role of genetic factors and the interplay with the environment in influencing the persistence of symptoms across the lifespan. Data harmonization and building an advanced data catalogue are also part of the work plan. Findings will be disseminated to non-academic parties, in close collaboration with the Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe).
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- 2021
32. Quantitative trait locus association scan of early reading disability and ability using pooled DNA and 100K SNP microarrays in a sample of 5760 children
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Meaburn, E L, Harlaar, N, Craig, I W, Schalkwyk, L C, and Plomin, R
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- 2008
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33. Overview of CAPICE—Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe—an EU Marie Skłodowska-Curie International Training Network
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Rajula, H.S.R. (Hema Sekhar Reddy), Manchia, M. (Mriko), Agarwal, K. (Kratika), Akingbuwa, W.A. (Wonuola A.), Allegrini, A.G. (Andrea G.), Diemer, E. (Elizabeth), Doering, S. (Sabrina), Haan, E. (Elis), Jami, E.S. (Eshim S.), Karhunen, V. (Ville), Leone, M. (Marica), Schellhas, L. (Laura), Thompson, A. (Ashley), Berg, S.M. (Stéphanie) van den, Bergen, S.E. (Sarah), Kuja-Halkola, R. (Ralf), Hammerschlag, A.R. (Anke R.), Järvelin, M.R. (Marjo Riitta), Leval, A. (Amy), Lichtenstein, P. (Paul), Lundstrom, S. (Sebastian), Mauri, M. (Matteo), Munafò, M.R. (Marcus), Myers, D. (David), Plomin, R. (Robert), Rimfeld, K. (Kaili), Tiemeier, H.W. (Henning), Ystrom, E. (Eivind), Fanos, V. (Vassilios), Bartels, M. (Meike), Middeldorp, C.M. (Christel M.), Rajula, H.S.R. (Hema Sekhar Reddy), Manchia, M. (Mriko), Agarwal, K. (Kratika), Akingbuwa, W.A. (Wonuola A.), Allegrini, A.G. (Andrea G.), Diemer, E. (Elizabeth), Doering, S. (Sabrina), Haan, E. (Elis), Jami, E.S. (Eshim S.), Karhunen, V. (Ville), Leone, M. (Marica), Schellhas, L. (Laura), Thompson, A. (Ashley), Berg, S.M. (Stéphanie) van den, Bergen, S.E. (Sarah), Kuja-Halkola, R. (Ralf), Hammerschlag, A.R. (Anke R.), Järvelin, M.R. (Marjo Riitta), Leval, A. (Amy), Lichtenstein, P. (Paul), Lundstrom, S. (Sebastian), Mauri, M. (Matteo), Munafò, M.R. (Marcus), Myers, D. (David), Plomin, R. (Robert), Rimfeld, K. (Kaili), Tiemeier, H.W. (Henning), Ystrom, E. (Eivind), Fanos, V. (Vassilios), Bartels, M. (Meike), and Middeldorp, C.M. (Christel M.)
- Abstract
The Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention defici
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- 2021
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34. Erratum: Predicting educational achievement from DNA
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Selzam, S, Krapohl, E, von Stumm, S, O'Reilly, P F, Rimfeld, K, Kovas, Y, Dale, P S, Lee, J J, and Plomin, R
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- 2018
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35. The analysis of 51 genes in DSM-IV combined type attention deficit hyperactivity disorder: association signals in DRD4, DAT1 and 16 other genes
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Brookes, K, Xu, X, Chen, W, Zhou, K, Neale, B, Lowe, N, Aneey, R, Franke, B, Gill, M, Ebstein, R, Buitelaar, J, Sham, P, Campbell, D, Knight, J, Andreou, P, Altink, M, Arnold, R, Boer, F, Buschgens, C, Butler, L, Christiansen, H, Feldman, L, Fleischman, K, Fliers, E, Howe-Forbes, R, Goldfarb, A, Heise, A, Gabriëls, I, Korn-Lubetzki, I, Marco, R, Medad, S, Minderaa, R, Mulas, F, Müller, U, Mulligan, A, Rabin, K, Rommelse, N, Sethna, V, Sorohan, J, Uebel, H, Psychogiou, L, Weeks, A, Barrett, R, Craig, I, Banaschewski, T, Sonuga-Barke, E, Eisenberg, J, Kuntsi, J, Manor, I, McGuffin, P, Miranda, A, Oades, R D, Plomin, R, Roeyers, H, Rothenberger, A, Sergeant, J, Steinhausen, H-C, Taylor, E, Thompson, M, Faraone, S V, Asherson, P, and Johansson, L
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- 2006
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36. Association analysis of mild mental impairment using DNA pooling to screen 432 brain-expressed single-nucleotide polymorphisms
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Butcher, L M, Meaburn, E, Dale, P S, Sham, P, Schalkwyk, L C, Craig, I W, and Plomin, R
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- 2005
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37. Gene–environment interaction analysis of serotonin system markers with adolescent depression
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Eley, T C, Sugden, K, Corsico, A, Gregory, A M, Sham, P, McGuffin, P, Plomin, R, and Craig, I W
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- 2004
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38. A functional polymorphism in the succinate-semialdehyde dehydrogenase (aldehyde dehydrogenase 5 family, member A1) gene is associated with cognitive ability
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Plomin, R, Turic, D M, Hill, L, Turic, D E, Stephens, M, Williams, J, Owen, M J, and O'Donovan, M C
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- 2004
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39. Finding the missing heritability in pediatric obesity: the contribution of genome-wide complex trait analysis
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Llewellyn, C H, Trzaskowski, M, Plomin, R, and Wardle, J
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- 2013
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40. Developmental associations between traits of autism spectrum disorder and attention deficit hyperactivity disorder: a genetically informative, longitudinal twin study
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Taylor, M. J., Charman, T., Robinson, E. B., Plomin, R., Happé, F., Asherson, P., and Ronald, A.
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- 2013
41. Errata: Origins of Individual Differences in Imitation: Links with Language, Pretend Play, and Socially Insightful Behavior in Two-Year-Old Twins
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Bolton, P. and Plomin, R.
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- 2007
42. IMMEDIATE COMMUNICATION: Visual analysis of geocoded twin data puts nature and nurture on the map
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Davis, OSP, Haworth, CMA, Lewis, C M, and Plomin, R
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- 2012
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43. INHERITED BEHAVIORAL SUSCEPTIBILITY TO ADIPOSITY IN INFANCY: A MULTIVARIATE GENETIC ANALYSIS OF APPETITE AND WEIGHT IN THE GEMINI BIRTH COHORT: 122 accepted oral
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Llewellyn, C., van Jaarsveld, C., Plomin, R., Fisher, A., and Wardle, J.
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- 2012
44. Gene–Environment Interactions in Early Development
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Davis, I.S.P., primary and Plomin, R., additional
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- 2007
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45. A genome-wide association study identifies multiple loci associated with mathematics ability and disability
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Docherty, S. J., Davis, O. S. P., Kovas, Y., Meaburn, E. L., Dale, P. S., Petrill, S. A., Schalkwyk, L. C., and Plomin, R.
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- 2010
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46. Multivariate Path Analysis of Specific Cognitive Abilities Data at 12 Years of Age in the Colorado Adoption Project
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Alarcón, Maricela, Plomin, R., Fulker, D. W., Corley, R., and DeFries, J. C.
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- 1998
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47. ALLELOTYPING OVER 10,000 SNPS USING DNA POOLS AND MICROARRAYS NOMINATES FOUR SNPS ASSOCIATED WITH MILD MENTAL IMPAIRMENT
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Butcher, L. M., Meaburn, E., Knight, J., Sham, P. C., Schalkwyk, L. C., Craig, I. W., and Plomin, R.
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- 2009
48. ‘GENERALIST GENES’ AND MATHEMATICS
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Kovas, Y., Harlaar, N., Petrill, S. A., and Plomin, R.
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- 2009
49. Pathways from science findings to health benefits
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Rutter, M. and Plomin, R.
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- 2009
50. The FTO gene and measured food intake in children
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Wardle, J, Llewellyn, C, Sanderson, S, and Plomin, R
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- 2009
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