CNCR

Neuroticism Summary statistics

LAVA

The primary publication for LAVA (currently under submission) is:

Werme, J., van der Sluis, S., Posthuma, D. et al. An integrated framework for local genetic correlation analysis. Nat Genet 54, 274–282 (2022). https://doi.org/10.1038/s41588-022-01017-y (link)

When using LAVA, please refer to this paper.

The current R-implementation for LAVA, as well as documentation and tutorial, can be found in the GitHub repository here.

For questions, comments, feedback and feature requests, contact Josefin Werme.

Auxiliary files

The genome partition file used for the primary LAVA publication can be found in the support_data folder on the GitHub repository linked above, and the code used to create the partitioning can be found here. This partioning was created using the 1,000 Genomes phase 3 reference data (European panel, build GRCh37/hg19).

Ready to use PLINK format data files for the 1,000 Genomes phase 3 reference data are linked below for different ancestries. Note that when analysing data from a non-European ancestry, a new genome partitioning will need to be created based on the reference data for that ancestry using the code linked above.

Population File Size Link
European 488 MB Download
African 1057 MB Download
East Asian 440 MB Download
South Asian 521 MB Download
Middle/South American 492 MB Download
GTEx v8 eQTL and sQTL input files

[coming soon]

Dementia Research

Our Research
The focus or our research is on pathogenic mechanisms that can offer new entry points for early diagnosis and intervention. This includes, but is not limited to, studies of protein homeostasis and cellular stress (Wiep Scheper), altered lipid metabolism (Rik van der Kant), brain network imbalance (Klaus Linkenkaer-Hansen) and its underlying cell physiological causes (Ronald van Kesteren), and novel target discovery using genetics (Danielle Posthuma) and post-mortem brain proteomics (Guus Smit).

Our collaborators
Clinical translation is a key aspect of our research, and we try to identify opportunities for translation as early as possible in our research. To this end we collaborate extensively with clinicians and clinical researchers at the Amsterdam and Rotterdam (Erasmus) University Medical Centers and the AUMC Alzheimer Center, the Amsterdam Neuroscience Industry Alliance Office, and with several industrial and commercial partners.

Our funders
Alzheimer Nederland
ZonMw (Memorabel, TOP, MKMD)
Hersenstichting
Health Holland
Joined Programing in Neurodegenerative Diseases
Stichtig Proefdiervrij

Our key publications
Untangling the Origin and Function of Granulovacuolar Degeneration Bodies in Neurodegenerative Proteinopathies
VI Wiersma, JJM Hoozemans, and W Scheper
Acta Neuropathol Commun 8:153 (2020)

Somatic TARDBP Variants as Cause of Semantic Dementia
J Van Rooij, M Mol, S Melhem, P van der Wal, P Arp, F Paron, L Donker Kaat, H Seelaar, NB Bank, SSM Miedema, A Uitterlinden, J van Meurs, RE van Kesteren, S A.B., E Buratti, and JC van Swieten
Brain doi:10.1093/brain/awaa317 (2020)

Amyloid-Beta-Independent Regulators of Tau Pathology in Alzheimer Disease
R van der Kant, LSB Goldstein, and R Ossenkoppele
Nat Rev Neurosci 21:21-35 (2020)

Cholesterol Lowering Drugs Reduce APP Processing to Abeta by Inducing APP Dimerization
VF Langness, R van der Kant, U Das, L Wang, RDS Chaves, and LSB Goldstein
Mol Biol Cell mbcE20050345 (2020)

Hyperexcitable PV Interneurons Render Hippocampal Circuitry Vulnerable to Amyloid Beta
S Hijazi, TS Heistek, R van der Loo, HD Mansvelder, AB Smit, and RE van Kesteren
iScience doi:10.1016/j.isci.2020.101271 (2020)

Granulovacuolar Degeneration Bodies Are Neuron-Selective Lysosomal Structures Induced by Intracellular Tau Pathology
VI Wiersma, AM van Ziel, S Vazquez-Sanchez, A Nolle, E Berenjeno-Correa, A Bonaterra-Pastra, F Clavaguera, M Tolnay, RJP Musters, JRT van Weering, M Verhage, JJM Hoozemans, and W Scheper
Acta Neuropathol 138:943-970 (2019)

Cholesterol Metabolism Is a Druggable Axis That Independently Regulates Tau and Amyloid-Beta in iPSC-Derived Alzheimer’s Disease Neurons
R van der Kant, VF Langness, CM Herrera, DA Williams, LK Fong, Y Leestemaker, E Steenvoorden, KD Rynearson, JF Brouwers, JB Helms, H Ovaa, M Giera, SL Wagner, AG Bang, and LSB Goldstein
Cell Stem Cell 24:363-375 e369 (2019)

Genome-Wide Meta-Analysis Identifies New Loci and Functional Pathways Influencing Alzheimer’s Disease Risk
IE Jansen, JE Savage, K Watanabe, J Bryois, DM Williams, S Steinberg, J Sealock, IK Karlsson, S Hagg, L Athanasiu, N Voyle, P Proitsi, A Witoelar, S Stringer, D Aarsland, IS Almdahl, F Andersen, S Bergh, F Bettella, S Bjornsson, A Braekhus, G Brathen, C de Leeuw, RS Desikan, S Djurovic, L Dumitrescu, T Fladby, TJ Hohman, PV Jonsson, SJ Kiddle, A Rongve, I Saltvedt, SB Sando, G Selbaek, M Shoai, NG Skene, J Snaedal, E Stordal, ID Ulstein, Y Wang, LR White, J Hardy, J Hjerling-Leffler, PF Sullivan, WM van der Flier, R Dobson, LK Davis, H Stefansson, K Stefansson, NL Pedersen, S Ripke, OA Andreassen, and D Posthuma
Nat Genet 51:404-413 (2019)

Early Restoration of Parvalbumin Interneuron Activity Prevents Memory Loss and Network Hyperexcitability in a Mouse Model of Alzheimer’s Disease
S Hijazi, TS Heistek, P Scheltens, U Neumann, DR Shimshek, HD Mansvelder, AB Smit, and RE van Kesteren
Mol Psychiatry doi:10.1038/s41380-019-0483-4 (2019)

Proteomics Analysis Identifies New Markers Associated with Capillary Cerebral Amyloid Angiopathy in Alzheimer’s Disease
DC Hondius, KN Eigenhuis, THJ Morrema, RC van der Schors, P van Nierop, M Bugiani, KW Li, JJM Hoozemans, AB Smit, and AJM Rozemuller
Acta Neuropathol Commun 6:46 (2018)

An EEG Nicotinic Acetylcholine Index to Assess the Efficacy of Pro-Cognitive Compounds
S Simpraga, HD Mansvelder, GJ Groeneveld, S Prins, EP Hart, SS Poil, and K Linkenkaer-Hansen
Clin Neurophysiol 129:2325-2332 (2018)

EEG Machine Learning for Accurate Detection of Cholinergic Intervention and Alzheimer’s Disease
S Simpraga, R Alvarez-Jimenez, HD Mansvelder, JMA van Gerven, GJ Groeneveld, SS Poil, and K Linkenkaer-Hansen
Sci Rep 7:5775 (2017)

Susceptible Genes and Disease Mechanisms Identified in Frontotemporal Dementia and Frontotemporal Dementia with Amyotrophic Lateral Sclerosis by DNA-Methylation and Gwas
E Taskesen, A Mishra, S van der Sluis, R Ferrari, FTDGC International, JH Veldink, MA van Es, AB Smit, D Posthuma, and Y Pijnenburg
Sci Rep 7:8899 (2017)

Profiling the Human Hippocampal Proteome at All Pathologic Stages of Alzheimer’s Disease
DC Hondius, P van Nierop, KW Li, JJ Hoozemans, RC van der Schors, ES van Haastert, SM van der Vies, AJ Rozemuller, and AB Smit
Alzheimers Dement 12:654-668 (2016)

The Unfolded Protein Response in Neurodegenerative Diseases: A Neuropathological Perspective
W Scheper, and JJ Hoozemans
Acta Neuropathol 130:315-331 (2015)

Hippocampal Extracellular Matrix Levels and Stochasticity in Synaptic Protein Expression Increase with Age and Are Associated with Age-Dependent Cognitive Decline
MJ Vegh, A Rausell, M Loos, CM Heldring, W Jurkowski, P van Nierop, I Paliukhovich, KW Li, A del Sol, AB Smit, S Spijker, and RE van Kesteren
Mol. Cell. Proteomics 13:2975-2985 (2014)

PRKAR1B Mutation Associated with a New Neurodegenerative Disorder with Unique Pathology
TH Wong, WZ Chiu, GJ Breedveld, KW Li, AJ Verkerk, D Hondius, RK Hukema, H Seelaar, P Frick, LA Severijnen, GJ Lammers, JH Lebbink, SG van Duinen, W Kamphorst, AJ Rozemuller, B Netherlands Brain, EB Bakker, N International Parkinsonism Genetics, M Neumann, R Willemsen, V Bonifati, AB Smit, and J van Swieten
Brain 137:1361-1373 (2014)

Reducing Hippocampal Extracellular Matrix Reverses Early Memory Deficits in a Mouse Model of Alzheimer’s Disease
MJ Vegh, CM Heldring, W Kamphuis, S Hijazi, AJ Timmerman, KW Li, P van Nierop, HD Mansvelder, EM Hol, AB Smit, and RE van Kesteren
Acta Neuropathol Commun 2:76 (2014)

The Unfolded Protein Response Mediates Reversible Tau Phosphorylation Induced by Metabolic Stress
JM van der Harg, A Nolle, R Zwart, AS Boerema, ES van Haastert, AM Strijkstra, JJ Hoozemans, and W Scheper
Cell Death Dis 5:e1393 (2014)

Integrative Eeg Biomarkers Predict Progression to Alzheimer’s Disease at the MCI Stage
SS Poil, W de Haan, WM van der Flier, HD Mansvelder, P Scheltens, and K Linkenkaer-Hansen
Front Aging Neurosci 5:58 (2013)

Multivariate GWAS

The most recent version of the manuscript is:

Vroom, C-R, de Leeuw C, Posthuma, D, Dolan, CV & Van der Sluis, S (BioRxiv): The more the merrier? Multivariate approaches to genome-wide association analysis. BioRxiv, doi: https://doi.org/10.1101/610287 (link)

Note
Note that it is possible to include new/additional multivariate GWAS methods in the simulation script, and then compare their power to that of other multivariate methods using the simulation settings used in Vroom et al.

Questions
For questions e-mail Sophie van der Sluis

Download script
mgwas_master_simscript_publication_v1.r (41.49 KB)

STXBP1/Munc18-1 disorders

STXBP-Encephalopathy is a severe genetic disease. We, clinical and fundamental researchers at the VU University in Amsterdam, The Netherlands, work together to better understand STXBP1-E. We aim to improve diagnosis and therapeutic interventions, and to provide (animal and cellular) models to study the disease.

 

Please visit the site: cncr-nl.ontw.stuurlui.dev/stxbp1

GWAS Summary Statistics

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

In addition, when downloading the sumstats you agree not to attempt to identify individual participants and not to use the sumstats for projects that may lead to stigmatizing individuals or groups of individuals.

Commercial use: If you want to use the sumstats commercially, you must first get our permission to do so. We support many commercial uses, and in most cases can freely share after a quick evaluation process. Please send an e-mail to Danielle Posthuma.

Summary statistics for Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study from Tissink et al., 2024.

A preprint of this paper can be found here: https://www.biorxiv.org/content/10.1101/2022.12.20.521181v3.full.
Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse from Thijssen et al., 2023.

Thijssen, A. B., Spit for Science Working Group, Dick, D. M., Posthuma, D., & Savage, J. E. (2023). Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse. Molecular psychiatry, 28(10), 4225–4233. https://doi.org/10.1038/s41380-023-02174-0. .

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for The genetic overlap between Alzheimer’s disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson’s disease from Wightman et al. 2023

Wightman, D. P., Savage, J. E., Tissink, E., Romero, C., Jansen, I. E., & Posthuma, D. (2023). The genetic overlap between Alzheimer’s disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson’s disease. Neurobiology of aging, 127, 99–112. https://doi.org/10.1016/j.neurobiolaging.2023.03.004

Please cite this reference when using the common factor model summary statistics. Use this link to download files associated with this publication. Please cite A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease. (Nature Genetics 2021) when using the PGCALZ2 data which excluded the UK Biobank and 23andMe data.

Summary statistics for Specificity and overlap in the genetic architectures of functional and structural connectivity within cerebral resting-state networks from Tissink et al. 2023

Tissink, E., Werme, J., de Lange, S. C., Savage, J. E., Wei, Y., de Leeuw, C. A., Nagel, M., Posthuma, D., & van den Heuvel, M. P. (2023). The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks. eNeuro, 10(4), ENEURO.0242-22.2023. https://doi.org/10.1523/ENEURO.0242-22.2023

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Disentangling Genetic Risks for Metabolic Syndrome from van Walree et al. 2022

van Walree, E. S., Jansen, I. E., Bell, N. Y., Savage, J. E., de Leeuw, C., Nieuwdorp, M., van der Sluis, S., & Posthuma, D. (2022). Disentangling Genetic Risks for Metabolic Syndrome. Diabetes, 71(11), 2447–2457. https://doi.org/10.2337/db22-0478

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis from Tielbeek et al. 2022

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., … Posthuma, D. (2022). Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis. Molecular psychiatry, 27(11), 4453–4463. https://doi.org/10.1038/s41380-022-01793-3

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Exploring the genetic relationship between twelve psychiatric disorders from Romero et al. 2022

Romero, C., Werme, J., Jansen, P. R., Gelernter, J., Stein, M. B., Levey, D., Polimanti, R., de Leeuw, C., Posthuma, D., Nagel, M., & van der Sluis, S. (2022). Exploring the genetic overlap between twelve psychiatric disorders. Nature genetics, 54(12), 1795–1802. https://doi.org/10.1038/s41588-022-01245-2

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health from Tissink et al., 2022

Tissink, E., de Lange, S. C., Savage, J. E., Wightman, D. P., de Leeuw, C. A., Kelly, K. M., Nagel, M., van den Heuvel, M. P., & Posthuma, D. (2022). Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health. Communications biology, 5(1), 710. https://doi.org/10.1038/s42003-022-03672-7

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways from Watanabe et al., 2022

Watanabe, K., Jansen, P. R., Savage, J. E., Nandakumar, P., Wang, X., 23andMe Research Team, Hinds, D. A., Gelernter, J., Levey, D. F., Polimanti, R., Stein, M. B., Van Someren, E. J. W., Smit, A. B., & Posthuma, D. (2022). Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways. Nature genetics, 54(8), 1125–1132. https://doi.org/10.1038/s41588-022-01124-w

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

The summary statistics exclude the 23andMe data used in the manuscript meta-analysis. Access to the full set, including 23andMe results, can be obtained after approval from 23andMe is presented to the corresponding author. Approval can be obtained by completion of a Data Transfer Agreement.

Summary statistics for A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease from Wightman et al., 2021

Wightman, D. P., Jansen, I. E., Savage, J. E., Shadrin, A. A., Bahrami, S., Holland, D., Rongve, A., Børte, S., Winsvold, B. S., Drange, O. K., Martinsen, A. E., Skogholt, A. H., Willer, C., Bråthen, G., Bosnes, I., Nielsen, J. B., Fritsche, L. G., Thomas, L. F., Pedersen, L. M., Gabrielsen, M. E., … Posthuma, D. (2021). A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease. Nature genetics, 53(9), 1276–1282. https://doi.org/10.1038/s41588-021-00921-z

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

The summary statistics exclude the 23andMe data used in the manuscript meta-analysis. Access to the full set, including 23andMe results, can be obtained after approval from 23andMe is presented to the corresponding author. Approval can be obtained by completion of a Data Transfer Agreement. Scripts to meta-analyse are provided at the github repository

Summary statistics for Genome-wide gene-environment interactions in neuroticism: an exploratory study across 25 environments from Werme et al., 2021

Werme, J., van der Sluis, S., Posthuma, D., & de Leeuw, C. A. (2021). Genome-wide gene-environment interactions in neuroticism: an exploratory study across 25 environments. Translational psychiatry, 11(1), 180. https://doi.org/10.1038/s41398-021-01288-9

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence from Jansen PR, Nagel et al., 2020

Jansen, P. R., Nagel, M., Watanabe, K., Wei, Y., Savage, J. E., de Leeuw, C. A., van den Heuvel, M. P., van der Sluis, S., & Posthuma, D. (2020). Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence. Nature communications, 11(1), 5606. https://doi.org/10.1038/s41467-020-19378-5

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Sensitivity to Environmental Stress and Adversity (SESA) neuroticism cluster from Nagel et al., 2020

Nagel, M., Speed, D., van der Sluis, S., & Østergaard, S. D. Genome‐wide association study of the sensitivity to environmental stress and adversity (SESA) neuroticism cluster Acta Psychiatrica Scandinavica, 2020, May;141(5):476-478. doi: 10.1111/acps.13155.

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics from A global overview of pleiotropy and genetic architecture in complex traits from Watanabe et al., 2019; included in the gwasATLAS.

Watanabe, K., Stringer, S., Frei, O., Umićević Mirkov, M., de Leeuw, C., Polderman, T. J. C., van der Sluis, S., Andreassen, O. A., Neale, B. M., & Posthuma, D. (2019). A global overview of pleiotropy and genetic architecture in complex traits. Nature genetics, 51(9), 1339–1348. https://doi.org/10.1038/s41588-019-0481-0

Please cite this reference when using the summary statistics. The sumstats files contains 600 sumstats from 600 traits from UKBiobank release 2, that were used in the above study. Use this link to download files associated with this publication.

Warning: Please be aware that this directory is very large, download the individual sumstats separately if only a subset is needed. Please see the ukb2_gwas_pheno_info.xlsx files and README for information on the phenotypes and phenotype IDs.

Summary statistics for Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways (insomnia, wave 2) from Jansen PR et al., 2019

Jansen, P. R., Watanabe, K., Stringer, S., Skene, N., Bryois, J., Hammerschlag, A. R., de Leeuw, C. A., Benjamins, J. S., Muñoz-Manchado, A. B., Nagel, M., Savage, J. E., Tiemeier, H., White, T., 23andMe Research Team, Tung, J. Y., Hinds, D. A., Vacic, V., Wang, X., Sullivan, P. F., van der Sluis, S., … Posthuma, D. (2019). Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways. Nature genetics, 51(3), 394–403. https://doi.org/10.1038/s41588-018-0333-3

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.
Note that sumstats do not include 23andme results, please refer to the manuscript on how to access these.

Summary statistics for Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk from Jansen IE et al., 2019

Jansen, I. E., Savage, J. E., Watanabe, K., Bryois, J., Williams, D. M., Steinberg, S., Sealock, J., Karlsson, I. K., Hägg, S., Athanasiu, L., Voyle, N., Proitsi, P., Witoelar, A., Stringer, S., Aarsland, D., Almdahl, I. S., Andersen, F., Bergh, S., Bettella, F., Bjornsson, S., … Posthuma, D. (2019). Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nature genetics, 51(3), 404–413. https://doi.org/10.1038/s41588-018-0311-9

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Note – update 2019 december:

AD_sumstats_Jansenetal_2019sept.txt.gz are an updated version of the original summary statistics. In the meta-analysis of the previous version, the UKB dataset was weighted with an incorrect sample size, overestimating it by max 22,246 (5%). This resulted in a slight underestimate of effect sizes and slightly less significant P-values (in the order of the 9th decimal).We have reran the meta-analysis and have uploaded the new summary statistics.
For new analyses we advise to use the updated version of the summary statistics. However, for analyses that have been performed already, we think it is acceptable to work with the previous results. We reran all our functional follow-up results and observed minimal changes, and no alternative conclusions were drawn.

Summary statistics for neuroticism, neuroticism subclusters and depression from Nagel et al., 2018b

Nagel, M., Jansen, P. R., Stringer, S., Watanabe, K., de Leeuw, C. A., Bryois, J., Savage, J. E., Hammerschlag, A. R., Skene, N. G., Muñoz-Manchado, A. B., 23andMe Research Team, White, T., Tiemeier, H., Linnarsson, S., Hjerling-Leffler, J., Polderman, T. J. C., Sullivan, P. F., van der Sluis, S., & Posthuma, D. (2018). Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nature genetics, 50(7), 920–927. https://doi.org/10.1038/s41588-018-0151-7

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.
Note that sumstats do not include 23andme results, please refer to the manuscript on how to access these.

Summary statistics for Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence (intelligence, wave 2) from Savage et al., 2018

Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., de Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., Grasby, K. L., Hammerschlag, A. R., Kaminski, J. A., Karlsson, R., Krapohl, E., Lam, M., Nygaard, M., Reynolds, C. A., Trampush, J. W., Young, H., … Posthuma, D. (2018). Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature genetics, 50(7), 912–919. https://doi.org/10.1038/s41588-018-0152-6

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Item-level analyses reveal genetic heterogeneity in neuroticism from Nagel et al., 2018a

Nagel, M., Watanabe, K., Stringer, S., Posthuma, D., & van der Sluis, S. (2018). Item-level analyses reveal genetic heterogeneity in neuroticism. Nature communications, 9(1), 905. https://doi.org/10.1038/s41467-018-03242-8.

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence (intelligence, wave 1) from Sniekers et al. 2017

Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., Amin, N., Breen, G., Cesarini, D., Chabris, C. F., Iacono, W. G., Ikram, M. A., Johannesson, M., Koellinger, P., Lee, J. J., Magnusson, P. K. E., … Posthuma, D. (2017). Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nature genetics, 49(7), 1107–1112. https://doi.org/10.1038/ng.3869

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Genome-wide association analysis of insomnia complaints identifies novel risk genes and genetic overlap with psychiatric and metabolic traits (insomnia, wave 1) from Hammerschlag et al. 2017

Hammerschlag, A. R., Stringer, S., de Leeuw, C. A., Sniekers, S., Taskesen, E., Watanabe, K., Blanken, T. F., Dekker, K., Te Lindert, B. H. W., Wassing, R., Jonsdottir, I., Thorleifsson, G., Stefansson, H., Gislason, T., Berger, K., Schormair, B., Wellmann, J., Winkelmann, J., Stefansson, K., Oexle, K., … Posthuma, D. (2017). Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits. Nature genetics, 49(11), 1584–1592. https://doi.org/10.1038/ng.3888

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.

Summary statistics for Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior from Tielbeek et al. 2017

Tielbeek, J. J., Johansson, A., Polderman, T. J. C., Rautiainen, M. R., Jansen, P., Taylor, M., Tong, X., Lu, Q., Burt, A. S., Tiemeier, H., Viding, E., Plomin, R., Martin, N. G., Heath, A. C., Madden, P. A. F., Montgomery, G., Beaver, K. M., Waldman, I., Gelernter, J., Kranzler, H. R., … Broad Antisocial Behavior Consortium collaborators (2017). Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. JAMA psychiatry, 74(12), 1242–1250. https://doi.org/10.1001/jamapsychiatry.2017.3069

Please cite this reference when using the summary statistics. Use this link to download files associated with this publication.