Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach

Lucía de Hoyos; Angelica Ronald; Fenja Schlag; Sanjeevan Jahagirdar; Elizabeth C Corfield; Andrea G Allegrini; Danielle Admiraal; Eveline L de Zeeuw; Ilja M Nolte; Natalia Llonga; Alexander Neumann; Katherine Lange; Simone van den Bedem; Ebba Du Rietz; Ehsan Motazedi; Else Eising; Nicole Y T Ng; Teemu Palviainen; Carol A Wang; Elisabeth Thiering; Priyanka Choudhary; Sofia Scatolin; Natalia Vilor-Tejedor; Zhijie Liao; Silvia Alemany; Casper-Emil T Pedersen; Nora Fernandez-Jimenez; Megan L Campbell; Polina Girchenko; Eli Barthome; L Caitlin Martin; Hanna Seelemeyer; Afsheen Kumar; Alexandre Jeanne; Tarunveer S Ahluwalia; Melissa H Black; Jan K Buitelaar; Simon E Fisher; Anni Heiskala; María Hernández-Lorca; Vincent W Jaddoe; Marjo-Riitta Järvelin; Sheri-Michelle Koopowitz; Marilyn T Lake; Paul Lichtenstein; Sabrina Llop; Mannan Luo; Anni Malmberg; Sergi Marí; Albertine J Oldehinkel; Zdenka Pausova; Craig E Pennell; Robert Plomin; Ted Reichborn-Kjennerud; Sheena Reilly; Alina Rodriguez; Thomas Rolland; Katri Räikkönen; Jean Shin; María Soler Artigas; Ashley E Tate; Henning Tiemeier; Ellen Verhoef; Eero Vuoksimaa; Melissa Wake; Varun Warrier; Eivind Ystrom; Sven Bölte; Christine Ecker; Thomas Bourgeron; Jari Lahti; Dan J Stein; Jose Ramon Bilbao; Klaus Bønnelykke; Mariona Bustamante; Tomas Paus; Christel M Middeldorp; Jordi Sunyer; Sylvain Sebert; Marie Standl; Andrew J O Whitehouse; Jaakko Kaprio; J Antoni Ramos-Quiroga; Marta Ribases; Miguel Casas; Rosa Bosch; Angela T Morgan; Tanja G M Vrijkotte; Henrik Larsson; Charlotte A M Cecil; Catharina A Hartman; Dorret I Boomsma; Kaili Rimfeld; Alexandra Havdahl; Beate St Pourcain

doi:10.1038/s41562-026-02551-z

Back

Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach

Journal article

Open access

Peer reviewed

Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach

Lucía de Hoyos, Angelica Ronald, Fenja Schlag, Sanjeevan Jahagirdar, Elizabeth C Corfield, Andrea G Allegrini, Danielle Admiraal, Eveline L de Zeeuw, Ilja M Nolte, Natalia Llonga, …

Nature Human Behaviour

21/09/2026

DOI: https://doi.org/10.1038/s41562-026-02551-z

PMID: 42768150

Abstract

Social behaviour is a heritable trait linked to well-being and mental health, yet it varies across social context, including social domains, informants and development, which may shape its underlying genomic architecture. Here, we conducted a genome-wide meta-regression meta-analysis of social behaviour from infancy to early adulthood, studying ~500,000 repeated measures in European-ancestry cohorts (N = 73,321). We modelled heterogeneity in single-variant associations across social domains (low prosocial behaviour and peer/social difficulties), multiple informants (parents, teachers and self-reports) and ages (2-29 years), identifying 6 associated loci, including variation within CADM2 (P = 2.51 × 10⁻⁹). Single nucleotide polymorphism-based heritability ranged from 2% to 7%, and the genetic architecture comprised 4 factors reflecting differences in either social domains or informants. Polygenic scores (N = 16,305) accurately predicted contextual variation in independent cohorts, with some cross-ancestry transferability. Context-specific patterns of genetic correlations, particularly when estimating the developmental onset of associations, offer opportunities to disentangle shared trajectories linking social behaviour with later-life and mental health outcomes.

Files and links (1)

url

https://doi.org/10.1038/s41562-026-02551-zView

Published (Version of record) Open CC BY V4.0

Metrics

1 File views/ downloads

1 Record Views

Details

Title: Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach
Creators: Lucía de Hoyos - Max Planck Institute for Psycholinguistics
Angelica Ronald (Author) - University of Surrey, Psychology
Fenja Schlag - Max Planck Institute for Psycholinguistics
Sanjeevan Jahagirdar - Max Planck Institute for Psycholinguistics
Elizabeth C Corfield - University of Bristol
Andrea G Allegrini - University College London
Danielle Admiraal - Max Planck Institute for Psycholinguistics
Eveline L de Zeeuw - Vrije Universiteit Amsterdam
Ilja M Nolte - University Medical Center Groningen
Natalia Llonga - Universitat Autònoma de Barcelona
Alexander Neumann - Erasmus MC
Katherine Lange - Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
Simone van den Bedem - Max Planck Institute for Psycholinguistics
Ebba Du Rietz - Karolinska Institutet
Ehsan Motazedi - Amsterdam Public Health
Else Eising - Max Planck Institute for Psycholinguistics
Nicole Y T Ng - Max Planck Institute for Psycholinguistics
Teemu Palviainen - Institute for Molecular Medicine Finland
Carol A Wang - The University of Western Australia
Elisabeth Thiering - Helmholtz Munich
Priyanka Choudhary - University of Oulu
Sofia Scatolin - University of Zurich
Natalia Vilor-Tejedor - Radboud University Medical Center
Zhijie Liao - CHU Sainte-Justine Research Center
Silvia Alemany - Universitat Autònoma de Barcelona
Casper-Emil T Pedersen - University of Copenhagen
Nora Fernandez-Jimenez - University of the Basque Country
Megan L Campbell - University of Cape Town
Polina Girchenko - University of Helsinki
Eli Barthome - Université Paris Cité
L Caitlin Martin - Centre National de la Recherche Scientifique
Hanna Seelemeyer - Cooperative Brain Imaging Center (CoBIC), Goethe University Frankfurt, Frankfurt am Main, Germany
Afsheen Kumar - Cooperative Brain Imaging Center (CoBIC), Goethe University Frankfurt, Frankfurt am Main, Germany
Alexandre Jeanne - Cooperative Brain Imaging Center (CoBIC), Goethe University Frankfurt, Frankfurt am Main, Germany
Tarunveer S Ahluwalia - University of Copenhagen
Melissa H Black - La Trobe University
Jan K Buitelaar - Radboud University Nijmegen
Simon E Fisher - Max (Japan)
Anni Heiskala - University of Oulu
María Hernández-Lorca - University of Copenhagen
Vincent W Jaddoe - Erasmus MC
Marjo-Riitta Järvelin - Brunel University of London
Sheri-Michelle Koopowitz - University of Cape Town
Marilyn T Lake - University of Cape Town
Paul Lichtenstein - Karolinska Institutet
Sabrina Llop - Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
Mannan Luo - Erasmus MC
Anni Malmberg - University of Helsinki
Sergi Marí - University of the Basque Country
Albertine J Oldehinkel - University Medical Center Groningen
Zdenka Pausova - SickKids Foundation
Craig E Pennell - Hunter Medical Research Institute
Robert Plomin - King's College London
Ted Reichborn-Kjennerud - University of Oslo
Sheena Reilly - Murdoch Children's Research Institute
Alina Rodriguez - Imperial College London, School of Public Health, Department of Epidemiology and Biostatistics, London, UK
Thomas Rolland - Centre de Recherche en Biologie cellulaire de Montpellier
Katri Räikkönen - University of Helsinki
Jean Shin - University of Toronto
María Soler Artigas - Universitat Autònoma de Barcelona
Ashley E Tate - Karolinska Institutet
Henning Tiemeier - Erasmus MC
Ellen Verhoef - Max Planck Institute for Psycholinguistics
Eero Vuoksimaa - University of Helsinki
Melissa Wake - Royal Children's Hospital
Varun Warrier - University of Cambridge
Eivind Ystrom - University of Oslo
Sven Bölte - Stockholm Health Care Services
Christine Ecker - Goethe University Frankfurt
Thomas Bourgeron - Institut Pasteur
Jari Lahti - University of Helsinki
Dan J Stein - College Station Medical Center
Jose Ramon Bilbao - University of the Basque Country
Klaus Bønnelykke - University of Copenhagen
Mariona Bustamante - Universitat Pompeu Fabra
Tomas Paus - Université de Montréal
Christel M Middeldorp - Amsterdam Neuroscience
Jordi Sunyer - Center for Research in Environmental Epidemiology
Sylvain Sebert - University of Oulu
Marie Standl - Helmholtz Munich
Andrew J O Whitehouse - The Kids Research Institute Australia
Jaakko Kaprio - University of Helsinki
J Antoni Ramos-Quiroga - STMicroelectronics (Switzerland)
Marta Ribases - Universitat Autònoma de Barcelona
Miguel Casas - Instituto para el Desarrollo de Terapias Avanzadas en Neurociencias, Barcelona, Spain
Rosa Bosch - Universitat de Vic - Universitat Central de Catalunya
Angela T Morgan - Speech Pathology, School of Health Sciences, University of Melbourne, Parkville, Melbourne, Victoria, Australia
Tanja G M Vrijkotte - University of Amsterdam
Henrik Larsson - Karolinska Institutet
Charlotte A M Cecil - Erasmus MC
Catharina A Hartman - University Medical Center Groningen
Dorret I Boomsma - Amsterdam University Medical Centers
Kaili Rimfeld - King's College London
Alexandra Havdahl - University of Oslo
Beate St Pourcain (Corresponding Author) - University of Bristol
Publication Details: Nature Human Behaviour
Publisher: Nature Research
Number of pages: 38
Publication Date: 21/09/2026
Date accepted for publication: 14/07/2026
Grants: Understanding the dynamic determinants of glucose homeostasis and social capability to promote Healthy and active aging, 633595, European Union (Belgium, Brussels) - EU
Max Planck Society (Germany, Munich) - MPG
MR/M021475/1, Medical Research Council (United Kingdom, London) - MRC
LONGITOOLS, H2020-SC1-2019-874739, European Union (Belgium, Brussels) - EU
FP7/2007-2013, European Research Council (Belgium, Brussels) - ERC
Innovative Medicines Initiative 2 Joint Undertaking, 777394, Horizon Europe (EU)
Simons Foundation (United States, New York)
MR/V012878/1, Medical Research Council (United Kingdom, London) - MRC
Innovative Medicines Initiative Joint Undertaking, 115300, European Union (Belgium, Brussels) - EU
CANDY - Therapeutic discovery for cholangiocellular carcinoma - Therapeutic discovery for cholangiocellular carcinoma, 847818, European Commission (Belgium, Brussels) - EC
AG046938, National Institutes of Health (United States, Bethesda) - NIH
602768, European Research Council (Belgium, Brussels) - ERC
Sir Henry Wellcome Postdoctoral Fellowship, 213514/Z/18/Z, Wellcome Trust (United Kingdom, London) - WT
101057385, UK Research and Innovation (United Kingdom, Swindon) - UKRI
10039383, UK Research and Innovation (United Kingdom, Swindon) - UKRI
22.00277, Swiss State Secretariat for Education, Research and Innovation (Bern, Switzerland)
RSF 2025, Radboud University Nijmegen (The Netherlands, Nijmegen)
TOP 40-00812-98-11010, ZonMw, The Dutch Organisation for knowledge and innovation in health, healthcare and well-being (The Netherlands, The Hague)
FAMILY, 101057529, Horizon Europe (EU)
HappyMums, 101057390, Horizon Europe (EU)
TEMPO, 101039672, European Research Council (Belgium, Brussels) - ERC
Ministry of Education Culture and Science (The Netherlands, The Hague) - OCW
024.001.003, Netherlands Organisation for Applied Scientific Research (The Netherlands, Delft) - TNO
016.VICI.170.200, Dutch Research Council (The Netherlands, The Hague) - NWO
Royal Netherlands Academy of Arts and Sciences (The Netherlands, Amsterdam) - KNAW
352700, Research Council of Finland (Finland, Helsinki)
Miguel Servet contract, CP22/00026, Instituto de Salud Carlos III (Spain, Madrid) - ISCIII
274611, The Research Council of Norway (Norway, Oslo)
336085, The Research Council of Norway (Norway, Oslo)
2018059, Southern and Eastern Norway Regional Health Authority (Norway, Hamar)
2020022, Southern and Eastern Norway Regional Health Authority (Norway, Hamar)
2021045, Southern and Eastern Norway Regional Health Authority (Norway, Hamar)
MC_UU_00032/1, Medical Research Council (United Kingdom, London) - MRC
University of Bristol (United Kingdom, Bristol)
336078, The Research Council of Norway (Norway, Oslo)
288083, The Research Council of Norway (Norway, Oslo)
818425, European Union (Belgium, Brussels) - EU
101045526, European Union (Belgium, Brussels) - EU
Profi6, AF 336449, Finnish Academy of Technology (Finland, Helsinki)
101137146, Horizon Europe (EU)
INTERNATIONAL HUMAN EXPOSOME NETWORK PROJECT (IHEN PROJECT), 101137317, Horizon Europe (EU)
OBELISK, 101080465, European Union (Belgium, Brussels) - EU
OBCT: Obesity: Biological, socioCultural, and environmental risk Trajectories, 101080250, European Union (Belgium, Brussels) - EU
TRIGGER: SoluTions foR mItiGatinG climate-induced hEalth tReaths, 101057739, European Union (Belgium, Brussels) - EU
LongITools, 874739, Horizon 2020
EarlyCause, 848158, Horizon 2020
356888, Research Council of Finland (Finland, Helsinki)
MR/S019669/1, Medical Research Council (United Kingdom, London) - MRC
Royal Netherlands Academy of Science Professor Award, PAH/6635, Royal Netherlands Academy of Arts and Sciences (The Netherlands, Amsterdam) - KNAW
RYC2022-038136-I, Ministerio de Ciencia, Innovación y Universidades (Spain, Madrid) - MICINN
PID2022-143106OA-I00, European Union (Belgium, Brussels) - EU
214322\Z\18\Z, Wellcome Trust (United Kingdom, London) - WT
10063472, UK Research and Innovation (United Kingdom, Swindon) - UKRI
Grant note: L.d.H., F.S., D.A.G.A., S.J., E. Verhoef, S.v.d.B., S. Scatolin, E.E., N.Y.T.N., S.E.F. and B.S.P. were supported by the Max Planck Society. S.J., A.K., A.J., E.B., L.C.M., H.S., M.H.B., T.R., C.E., S.B., T.B. and B.S.P. were supported by the R2D2-MH, which has been funded by Horizon Europe (grant agreement number 101057385), by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (grant number 10039383) and by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 22.00277. B.S.P. is also supported by the Radboud University Donders RSF 2025. T.G.M.V. was supported by ZonMW (TOP 40-00812-98-11010). C.A.M.C. is supported by the Horizon Europe Research and Innovation Programme (FAMILY, grant agreement number 101057529, also to A.N.; HappyMums, grant agreement number 101057390) and the European Research Council (TEMPO; grant agreement number 101039672, also to A.N.). A.N. and H.T. are supported by a grant from the Dutch Ministry of Education, Culture, and Science and the Netherlands Organization for Scientific Research (NWO grant number 024.001.003, Consortium on Individual Development). The work of H.T. is further supported by the European Union’s Horizon 2020 research and innovation programme (contract grant number 633595, DynaHealth) and an NWO-VICI grant (NWO-ZonMW; 016.VICI.170.200). M.L. was supported by a scholarship from the China Scholarship Council (201706990036). This work of M.L. was further supported by the Ter Meulen Grant of the Royal Netherlands Academy of Arts and Sciences (KNAW). J.L. has received research support from the Strategic Research Council established within the Academy of Finland (decision number 352700). S.A. acknowledges her Miguel Servet contract (CP22/00026) awarded by the Instituto de Salud Carlos III and co-funded by the European Union fund (Fondo Social Europeo Plus, FSE+). A. Havdahl was supported by funding from the Research Council of Norway (RCN) (numbers 274611 and 336085) and the South-Eastern Norway Regional Health Authority (HSØ; numbers 2020022 and 2018059). E.C.C. was supported by funding from the RCN (number 274611) and HSØ (number 2021045) and is a member of the MRC Integrative Epidemiology Unit at the University of Bristol, which is supported by the Medical Research Council and the University of Bristol (MC_UU_00032/1). T.R.-K. was supported by funding from the RCN (number 274611). E.Y. was supported by funding from the RCN (numbers 288083 and 336078) and the European Union (grant agreement numbers 101045526 and 818425). P.C. has received funding from the University of Oulu and the Academy of Finland Profi6 (decision number AF 336449). S. Sebert acknowledges funding support by the Horizon Europe framework programme (STAGE grant number 101137146, IHEN grant number 101137317, OBELISK grant number 101080465, OBCT grant number 101080250 and TRIGGER grant number 101057739), the Horizon 2020 framework programme (LongITools grant number 874739, EarlyCause grant number 848158) and the research council of Finland (grant number 356888). M.-R.J. acknowledges funding support by the Horizon 2020 framework programme (LongITools grant number 874739, EarlyCause grant number 848158) and by the MRC Centre for Environment and Health funded by the Medical Research Council, UK (MR/S019669/1). D.I.B. acknowledges the Royal Netherlands Academy of Science Professor Award (PAH/6635). A. Ronald received funding from the Simons Foundation (award identifier 724306). K. Rimfeld is supported by a Sir Henry Wellcome Postdoctoral Fellowship (213514/Z/18/Z). N.V.-T. is supported by the Spanish Ministry of Science and Innovation–State Research Agency grant RYC2022-038136-I, cofunded by the European Union FSE+, and grant PID2022-143106OA-I00, cofunded by the European Union FEDER. In addition, N.V.-T. is supported by the William H. Gates Sr. Fellowship from the Alzheimer’s Disease Data Initiative. Twins Early Development Study (TEDS) is supported by a programme grant to R.P. from the UK Medical Research Council (grant number MR/V012878/1 and previously MR/M021475/1), with additional support from the US National Institutes of Health (grant number AG046938). The research leading to these results has also received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013) (grant agreement number 602768). V.W. is supported by funding from the Simons Foundation for Autism Research Initiative, the Wellcome Trust (214322\Z\18\Z), Horizon-Europe R2D2-MH (grant agreement number 101057385) and UKRI (10063472). J.K.B. has been supported by the EU-AIMS (European Autism Interventions) and AIMS-2-TRIALS programmes, which receive support from Innovative Medicines Initiative Joint Undertaking grant numbers 115300 and 777394, the resources of which are composed of financial contributions from the European Union’s FP7 and Horizon 2020 Programmes and from the European Federation of Pharmaceutical Industries and Associations (EFPIA) companies’ in-kind contributions, and by AUTISM SPEAKS, Autistica and SFARI; and by the Horizon 2020-supported programme CANDY (grant number 847818). The funders had no role in the design of the study, in the collection, analyses or interpretation of data, in the writing of the paper, or in the decision to publish the results. This publication is the work of the authors, who serve as the guarantors for the contents of this paper. Views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union, the European Research Council Executive Agency or the other funders. Neither the European Union nor the granting authority can be held responsible for them. Open access funding provided by Max Planck Society.
Identifiers: 991178986802346; WOS:001880807700001
Copyright: © The Author(s) 2026. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Academic Unit: Psychology
Language: English
Resource Type: Journal article
Data Access Statement: Social behaviour GWAS: meta-regression-derived GWAS summary statistics are available via the MPI Archive (https://hdl.handle.net/1839/7a2d6cfd-431a-4e88-82f5-82ee57060958). 1958BC: phenotype and genetic data are provided by the UK Data Service at the University of Essex after registration (https://doi.org/10.5255/UKDA-Series-2000032). Information about data access is described in the CLS Data Access Framework at https://cls.ucl.ac.uk/wp-content/uploads/2017/02/CLS_Data_Access_Framework.pdf. ABCD-NL: due to ethical considerations, the individual data from the ABCD study cannot be deposited in a public repository. Any researcher can request the data by submitting a general publication proposal form to the ABCD Project Team as outlined at https://www.amc.nl/web/abcd-studie-2/abcd-studie/voor-onderzoekers-.htm under the section ‘use of data’ (Dutch: gebruik van data), by email: abcd@amsterdamumc.nl. Our data access policy can be found at https://www.amc.nl/web/abcd-studie-2/abcd-studie/voor-onderzoekers-.htm. ABCD-US: the ABCD data used in this study came from the ABCD Data Release 4.0. The ABCD direct data access via DNA was discontinued in 2025 and the ABCD archive moved to the NIH Brain Development Cohorts (HBDC) Data Hub. Access to ABCD data can be obtained via the NBDC (https://www.nbdc-datahub.org/). ALSPAC: the data used are available through a fully searchable data dictionary (http://www.bristol.ac.uk/alspac/researchers/our-data/). Access to ALSPAC data can be obtained as described within the ALSPAC data access policy (http://www.bristol.ac.uk/alspac/researchers/access/). BREATHE: access to BREATHE data can be obtained by contacting jordi.sunyer@isglobal.org or mariona.bustamante@isglobal.org. CATSS: the data used from the CATSS cohort are not publicly available to protect sensitive phenotype information for participating children. Access to CATSS can be obtained by submitting a data request. COPSAC: data from the COPSAC cohort is classified as sensitive, personally identifiable data and thus cannot be made publicly available, but can potentially be made available upon request under a data transfer agreement. DCHS: the DCHS is committed to the principle of data sharing. De-identified data will be made available to requesting researchers as appropriate. Requests for collaborations are welcome. More information can be found on our website at http://www.paediatrics.uct.ac.za/scah/dclhs. ELVS: the data used from the ELVS dataset are not readily available due to the ethical governance set in place for this study. The data are shared following application to investigators of the ELVS study. Requests to access the genetic datasets should be directed to Angela Morgan, angela.morgan@mcri.edu.au. FinnTwin12: in accordance with the Finnish Biobank Act, the data used in the analysis are deposited in the Biobank of the Finnish Institute for Health and Welfare (https://thl.fi/en/our-services/thl-biobank1). They are available to researchers from academia and companies after a written application and following the relevant Finnish legislation. To ensure the protection of privacy and compliance with national data protection legislation, a data use/transfer agreement is needed, the content and specific clauses of which will depend on the nature of the requested data. GenR: data from the Generation R cohort are not publicly available due to legal and ethical restrictions; however, access can be requested via the Generation R administration (secretariaat.genr@erasmusmc.nl). Requests for Generation R data access are evaluated by the Generation R Management Team. GINILISA: due to data protection reasons, the datasets generated and/or analysed during the current study cannot be made publicly available. The datasets are available to interested researchers from the corresponding author upon reasonable request (for example, reproducibility), provided the release is consistent with the consent given by the GINIplus and LISA study participants. Ethical approval might be obtained for the release, and a data transfer agreement from the legal department of the Helmholtz Zentrum München must be accepted. GLAKU: researchers can obtain a de-identified GLAKU dataset after having obtained approval from the GLAKU Study Board. HRS: the phenotype survey data are provided by the HRS without charge, after registration. The genomic data are provided by the health and retirement study after institutional review board approval by NCBI-dbGaP (dbGaP study accession: phs000428.v2.p2), without charge. Sensitive data, including genetic information and biomarkers, are only available through an approved data application process (Health and Retirement Study, DUA Review Committee, 426 Thompson Street, Ann Arbor, Michigan 48104-2321, hrsdatareq@umich.edu). By requesting access to the HRS genetic information via NCBI-dbGaP, the authors agreed that the data are only shared within the working group permitted to work with the data (St Pourcain group; https://hrs.isr.umich.edu/sites/default/files/HRS-Genetic-Data-Access-Agreement.pdf). Information about the data access is described at: https://hrs.isr.umich.edu/data-products/. INMA: INMA data (INMA-GSA and INMA-Omni1) are available by request from the INfancia y Medio Ambiente Executive Committee for researchers who meet the criteria for access to confidential data. Access to INMA data can be obtained by contacting inma@proyectoinma.org. INSchool: Raw data from INSchool are not publicly available because of limitations in ethical approvals, and the summary data will be available by contacting marta.ribases@vhir.org. LSAC: data from the LSAC cohort can be obtained by completing an online form, following instructions from the LSAC data custodian, The Australian Institute of Family Studies. Information about data access is described at: https://growingupinaustralia.gov.au/data-and-documentation/accessing-lsac-data. MCS: phenotype and genetic data from the MCS are provided by the UK Data Service at the University of Essex after registration (https://doi.org/10.5255/UKDA-Series-2000031). Information about data access is described in the CLS Data Access Framework: https://cls.ucl.ac.uk/wp-content/uploads/2017/02/CLS_Data_Access_Framework.pdf. MoBa: data from the Norwegian Mother, Father and Child Cohort Study and the Medical Birth Registry of Norway used in this study are managed by the national health register holders in Norway (Norwegian Institute of Public Health). The consent given by the participants does not allow for storage of data on an individual level in repositories or journals. Researchers who want access to datasets for replication should apply through helsedata.no. Access to datasets requires approval from the Regional Committee for Medical and Health Research Ethics in Norway (REC) and an agreement with MoBa. In addition, compliance with the EU General Data Protection Regulation is required. MUSP: MUSP data are available from a third party upon reasonable request. Contact details can be found at: https://social-science.uq.edu.au/mater-university-queensland-study-pregnancy?p=5#5. NFBC1986: NFBC data are available from the University of Oulu, Infrastructure for Population Studies. Permission to use the data can be applied for research purposes via an electronic material request portal. In the use of data, we follow the EU General Data Protection Regulation (679/2016) and the Finnish Data Protection Act. The use of personal data is based on a cohort participant’s written informed consent in their latest follow-up study, which may cause limitations to its use. Contact the NFBC project centre (NFBCprojectcenter@oulu.fi) and visit the cohort website (www.oulu.fi/nfbc) for more information. NTR: the data used from the NTR cohort are not publicly available to protect sensitive phenotype information for participating children. Access to NTR can be obtained by submitting a data request. The Raine Study: restrictions apply to the availability of data generated or analysed during this study to preserve patient confidentiality. On request (https://ross.rainestudy.org.au) details of the restrictions and any conditions under which data access is granted may be provided. SYS: SYS data are available upon request and should be addressed to Dr Zdenka Pausova (zdenka.pausova@sickkids.ca) and Dr Tomas Paus (tpausresearch@gmail.com). Further details about the protocol can be found at https://saguenay-youth-study.net/. TEDS: researchers can apply for access to the TEDS data through their data access mechanism (www.teds.ac.uk/researchers/teds-data-access-policy). TRAILS: TRAILS data are not publicly available to researchers outside the TRAILS consortium, but can be obtained by submitting a publication proposal. For more details, please see www.trails.nl.

Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach

Abstract

Files and links (1)

Metrics

Details

Usage Policy