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Multivariate genome-wide analyses of the well-being spectrum
Open accessAbstract
We introduce two novel methods for multivariate genome-wide-association meta-analysis (GWAMA) of related traits that correct for sample overlap. A broad range of simulation scenarios supports the added value of our multivariate methods relative to univariate GWAMA. We applied the novel methods to life satisfaction, positive affect, neuroticism, and depressive symptoms, collectively referred to as the well-being spectrum (N obs = 2,370,390), and found 304 significant independent signals. Our multivariate approaches resulted in a 26% increase in the number of independent signals relative to the four univariate GWAMAs and in an ~57% increase in the predictive power of polygenic risk scores. Supporting transcriptome- and methylome-wide analyses (TWAS and MWAS, respectively) uncovered an additional 17 and 75 independent loci, respectively. Bioinformatic analyses, based on gene expression in brain tissues and cells, showed that genes differentially expressed in the subiculum and GABAergic interneurons are enriched in their effect on the well-being spectrum.
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“our prioritized SNP is in strong LD with that study’s lead SNP (current study rs7617480, r2=0.83, D’=1.0).32”
From Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions (2021) · cites this paper as [32]
Experimental — accuracy not yet measuredIn the citing paper
“In several genome-wide association studies (GWASs) of depression-related traits, TNKS was found to be associated with (p = 7.68 × 10−10)38, bipolar disorder (p = 3 × 10−6)39, and positive affect (p = 0.0003)40.”
From Methylome-wide change associated with response to electroconvulsive therapy in depressed patients (2021) · cites this paper as [40]
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Cites
The satisfaction with life scale
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985) · Journal of Personality Assessment · doi:10.1207/s15327752jpa4901_13 · Cited by 31,768
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Biological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.
Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559
The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): development and UK validation
Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-5-63 · Cited by 5,031
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255
A Measure of Subjective Happiness: Preliminary Reliability and Construct Validation
Lyubomirsky, S., & Lepper, H. S. (1999) · Social Indicators Research · doi:10.1023/a:1006824100041 · Cited by 4,071
10 Years of GWAS Discovery: Biology, Function, and Translation
Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.005 · Cited by 3,719
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Zhu, Z., Zhang, F., Hu, H., Bakshi, A., Robinson, M. R., Powell, J. E., Montgomery, G. W., Goddard, M. E., Wray, N. R., Visscher, P. M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3538 · Cited by 3,352
An anatomically comprehensive atlas of the adult human brain transcriptome
Hawrylycz, M. J., Lein, E. S., Guillozet-Bongaarts, A. L., Shen, E. H., Ng, L., Miller, J. A., van de Lagemaat, L. N., Smith, K. A., Ebbert, A., Riley, Z. L., et al. (2012) · Nature · doi:10.1038/nature11405 · Cited by 3,083
eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0090-3 · Cited by 3,005
Self-citationPartitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604
Subjective wellbeing, health, and ageing
Steptoe, A., Deaton, A., & Stone, A. A. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61489-0 · Cited by 2,538
Integrative approaches for large-scale transcriptome-wide association studies
Gusev, A., Ko, A., Shi, H., Bhatia, G., Chung, W., Penninx, B. W. J. H., Jansen, R., de Geus, E. J. C., Boomsma, D. I., Wright, F. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3506 · Cited by 2,479
Self-citationSchizophrenia risk from complex variation of complement component 4
Sekar, A., Bialas, A. R., de Rivera, H., Davis, A., Hammond, T. R., Kamitaki, N., Tooley, K., Presumey, J., Baum, M., Van Doren, V., et al. (2016) · Nature · doi:10.1038/nature16549 · Cited by 2,394
McCrae, R. R., & Costa, P. T. (2010) · Medical Entomology and Zoology · Cited by 2,345
Spatio-temporal transcriptome of the human brain
Kang, H. J., Kawasawa, Y. I., Cheng, F., Zhu, Y., Xu, X., Li, M., Sousa, A. M. M., Pletikos, M., Meyer, K. A., Sedmak, G., et al. (2011) · Nature · doi:10.1038/nature10523 · Cited by 2,084
Analysis of shared heritability in common disorders of the brain
The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science · doi:10.1126/science.aap8757 · Cited by 1,924
Self-citationThe Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.3097 · Cited by 1,853
A survey of human brain transcriptome diversity at the single cell level
Darmanis, S., Sloan, S. A., Zhang, Y., Enge, M., Caneda, C., Shuer, L. M., Hayden Gephart, M. G., Barres, B. A., & Quake, S. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507125112 · Cited by 1,401
Genome-wide association study identifies 74 loci associated with educational attainment
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature · doi:10.1038/nature17671 · Cited by 1,297
Self-citationMulti-trait analysis of genome-wide association summary statistics using MTAG
23andMe Research Team, Turley, P., Social Science Genetic Association Consortium, Walters, R. K., Maghzian, O., Okbay, A., Lee, J. J., Fontana, M. A., Nguyen-Viet, T. A., Wedow, R., et al. (2018) · Nature Genetics · doi:10.1038/s41588-017-0009-4 · Cited by 1,112
Ventral tegmental area: cellular heterogeneity, connectivity and behaviour
Morales, M., & Margolis, E. B. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.165 · Cited by 1,108
Finucane, H. K., Reshef, Y. A., Anttila, V., Slowikowski, K., Gusev, A., Byrnes, A., Gazal, S., Loh, P.-R., Lareau, C., Shoresh, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0081-4 · Cited by 1,097
Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-5-1 · Cited by 1,075
Massively parallel single-nucleus RNA-seq with DroNc-seq
Habib, N., Avraham-Davidi, I., Basu, A., Burks, T., Shekhar, K., Hofree, M., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4407 · Cited by 1,069
Unravelling the Role of O-glycans in Influenza A Virus Infection
Mayr, J., Lau, K., Lai, J. C. C., Gagarinov, I. A., Shi, Y. Y., McAtamney, S., Chan, R. W. Y., Nicholls, J. M., von Itzstein, M., & Haselhorst, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-34175-3 · Cited by 1,068
Study, L. C., Okbay, A., Baselmans, B. M. L., De Neve, J.-E., Turley, P., Nivard, M. G., Fontana, M. A., Meddens, S. F. W., Linnér, R. K., Rietveld, C. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3552 · Cited by 1,013
Self-citationGrotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T., Hill, W. D., Ip, H. F., Marioni, R. E., McIntosh, A. M., Deary, I. J., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0566-x · Cited by 958
Self-citationNagel, M., Jansen, P. R., Stringer, S., Watanabe, K., de Leeuw, C., Bryois, J., Savage, J. E., Hammerschlag, A. R., Skene, N., Muñoz‐Manchado, A. B., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0151-7 · Cited by 804
Hyde, C. L., Nagle, M. W., Tian, C., Chen, X., Paciga, S. A., Wendland, J. R., Tung, J. Y., Hinds, D. A., Perlis, R. H., & Winslow, A. R. (2016) · Nature Genetics · doi:10.1038/ng.3623 · Cited by 784
A Bayesian Extension of the Minimum AIC Procedure of Autoregressive Model Fitting
Akaike, H. (1979) · Biometrika · doi:10.1093/biomet/66.2.237 · Cited by 629
Genome-wide genetic data on ~500,000 UK Biobank participantsPreprint
Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/166298 · Cited by 622
National accounts of subjective well-being.
Diener, E., Oishi, S., & Lucas, R. E. (2015) · American Psychologist · doi:10.1037/a0038899 · Cited by 544
Lo, M., Hinds, D. A., Tung, J. Y., Franz, C. E., Fan, C.-C., Wang, Y., Smeland, O. B., Schork, A. J., Holland, D., Kauppi, K., et al. (2016) · Nature Genetics · doi:10.1038/ng.3736 · Cited by 462
Disease variants alter transcription factor levels and methylation of their binding sites
Bonder, M. J., Luijk, R., Zhernakova, D. V., Moed, M., Deelen, P., Vermaat, M., van Iterson, M., van Dijk, F., van Galen, M., Bot, J. J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3721 · Cited by 462
Self-citationQi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04558-1 · Cited by 427
Self-citationZhu, X., Feng, T., Tayo, B. O., Liang, J., Young, J. H., Franceschini, N., Smith, J. A., Yanek, L. R., Sun, Y. V., Edwards, T. L., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.11.011 · Cited by 425
Identification of context-dependent expression quantitative trait loci in whole blood
Zhernakova, D. V., Deelen, P., Vermaat, M., van Iterson, M., van Galen, M., Arindrarto, W., van 't Hof, P., Mei, H., van Dijk, F., Westra, H.-J., et al. (2017) · Nature Genetics · doi:10.1038/ng.3737 · Cited by 416
Self-citationMultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS
O’Reilly, P. F., Hoggart, C. J., Pomyen, Y., Calboli, F. C. F., Elliott, P., Järvelin, M., & Coin, L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034861 · Cited by 369
Fehrmann, R. S. N., Jansen, R. C., Veldink, J. H., Westra, H.-J., Arends, D., Bonder, M. J., Fu, J., Deelen, P., Groen, H. J. M., Smolonska, A., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002197 · Cited by 334
Self-citationThe subiculum: a review of form, physiology and function
O’Mara, S. M., Commins, S., Anderson, M. I., & Gigg, J. (2001) · Progress in Neurobiology · doi:10.1016/s0301-0082(00)00054-x · Cited by 310
A multivariate test of association
Ferreira, M. A. R., & Purcell, S. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn563 · Cited by 247
A Unified Framework for Association Analysis with Multiple Related Phenotypes
Stephens, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065245 · Cited by 240
Role of the ventral subiculum in stress integration
Herman, J. P., & Mueller, N. K. (2006) · Behavioural Brain Research · doi:10.1016/j.bbr.2006.05.035 · Cited by 235
Born to be Happy? The Etiology of Subjective Well-Being
Bartels, M., & Boomsma, D. I. (2009) · Behavior Genetics · doi:10.1007/s10519-009-9294-8 · Cited by 217
Self-citationTATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies
van der Sluis, S., Posthuma, D., & Dolan, C. V. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003235 · Cited by 216
The Adult Netherlands Twin Register: Twenty-Five Years of Survey and Biological Data Collection
Willemsen, G. A. H. M., Vink, J. M., Abdellaoui, A., den Braber, A., van Beek, J. H. D. A., Draisma, H. H. M., van Dongen, J., Ent, D. V. ‘., Geels, L. M., van Lien, R., et al. (2013) · Twin Research and Human Genetics · doi:10.1017/thg.2012.140 · Cited by 206
Self-citationAschard, H., Vilhjálmsson, B. J., Greliche, N., Morange, P., Trégouët, D., & Kraft, P. L. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.03.016 · Cited by 183
A Genome-Wide Association Study of Depressive Symptoms
Hek, K., Demirkan, A., Lahti, J., Terracciano, A., Teumer, A., Cornelis, M. C., Amin, N., Bakshis, E., Baumert, J., Ding, J., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.09.033 · Cited by 172
Self-citationvan Beijsterveldt, C. E. M., Groen‐Blokhuis, M. M., Hottenga, J., Franić, S., Hudziak, J. J., Lamb, D. J., Huppertz, C., de Zeeuw, E. L., Nivard, M. G., Schutte, N. M., et al. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.118 · Cited by 167
Self-citationConditional eQTL analysis reveals allelic heterogeneity of gene expression
Jansen, R., Hottenga, J.-J., Nivard, M. G., Abdellaoui, A., Laport, B., de Geus, E. J., Wright, F. A., Penninx, B. W. J. H., & Boomsma, D. I. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx043 · Cited by 141
Self-citationFinucane, H. K., Reshef, Y., Anttila, V., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/103069 · Cited by 136
Molecular genetics and subjective well-being
Rietveld, C. A., Cesarini, D., Benjamin, D. J., Koellinger, P. D., De Neve, J.-E., Tiemeier, H., Johannesson, M., Magnusson, P. K. E., Pedersen, N. L., Krueger, R. F., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222171110 · Cited by 104
Self-citationA genetic perspective on the relationship between eudaimonic –and hedonic well-being
Baselmans, B. M. L., & Bartels, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-32638-1 · Cited by 88
Self-citationDIST: direct imputation of summary statistics for unmeasured SNPs
Lee, D., Bigdeli, T. B., Riley, B. P., Fanous, A. H., & Bacanu, S. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt500 · Cited by 69
Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex TraitsPreprint
Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T., Hill, W. D., Ip, H. F., McIntosh, A. M., Deary, I. J., Koellinger, P., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/305029 · Cited by 49
Self-citationEquivalence of LD-Score Regression and Individual-Level-Data MethodsPreprint
de Vlaming, R., Johannesson, M., Magnusson, P. K. E., Ikram, M. A., & Visscher, P. M. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/211821 · Cited by 15
Research works printed but not linked: 1
- Brice, J., Buck, N. & Prentice-Lane, E. (eds.). British Household Panel Survey User Manual (University of Essex, Colchester, 1993).
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Metadata
- Authors
- BIOS consortium, Baselmans, B. M. L., Social Science Genetic Association Consortium, Jansen, R., Ip, H. F., van Dongen, J., Abdellaoui, A., van de Weijer, M. P., Bao, Y., Smart, M., Kumari, M., Willemsen, G., Hottenga, J.-J., Boomsma, D. I., de Geus, E. J. C., Nivard, M. G., & Bartels, M.
- Affiliations
- Amsterdam Public Health (NL)
- Amsterdam Neuroscience (NL)
- Vrije Universiteit Amsterdam (NL)
- University of Essex (GB)
- Corresponding author
- Nivard, Michel G.
- Bartels, Meike
- ORCID
- Venue
- Nature Genetics
- Published
- 2019-01-14
- Volume
- 51
- Issue
- 3
- Pages
- 445-451
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2909650844
- Cited by
- 320
- References
- 60
- Citations by year
- 2026: 33 · 2025: 48 · 2024: 35 · 2023: 47 · 2022: 54 · 2021: 59 · 2020: 29 · 2019: 14
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Pure Amsterdam UMC (acceptedVersion, other-oa)
- Open Access at Essex (University of Essex) (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- VU Research Portal (submittedVersion, other-oa)
- Warwick Research Archive Portal (University of Warwick) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- University of Essex
- Wellcome Trust (213422/Z/18/Z)
- ZonMw (849200011, Addiction‐31160008, Middelgroot‐911‐09‐032, 985-10-002, 400‐05‐717, 451‐04‐034, 463‐06‐001, 56-464-14192, 184.021.007, 904-61-193, 911‐09‐032, 1RC2 MH089995, 904-61-090, 531003014, 31160008, 480‐04‐004)
- Vrije Universiteit Amsterdam
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (184021007, NWO 480‐05‐003, 463-06-001, 400‐05‐717, 480- 05-003, 904-61-193, 904-61-090, 311-60008, 56‐464‐14192, NWO-VENI 451-04-034, Addiction-31160008, Spinozapremie 56-464-14192, 451–04-034, 849200011, 985-10002, 480-04-004)
- Avera Institute for Human Genetics
- National Institutes of Health (R01D0042157-01A, 184.021.007, 451-04-034, 463-06-001, 1r01mh081802-01, 400-05-717)
- Medical Research Council (MR/N01104X/1, MR/N01104X/2)
- Economic and Social Research Council (ES/M008592/1, ES/M010341/1, ES/H029745/1, ES/S008349/1)
- National Institute on Aging (R01AG054628)
- National Institute of Mental Health (MH-081802, RC2MH089995, MH089995-01, RC2MH089951, MH089995)
- H2020 European Research Council (771057)
- FP7 Ideas: European Research Council (230374)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- life satisfaction, positive affect, neuroticism, depressive symptoms, polygenic risk score, transcriptome-wide association study, methylome-wide association study, subiculum, GABAergic interneurons, brain gene expression
- MeSH terms
- Brain, Humans, Interneurons, Phenotype, Gene Expression, Genome, Human, Multivariate Analysis, Computational Biology, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Transcriptome
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