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Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases
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Abstract
Horizontal pleiotropy occurs when the variant has an effect on disease outside of its effect on the exposure in Mendelian randomization (MR). Violation of the 'no horizontal pleiotropy' assumption can cause severe bias in MR. We developed the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) test to identify horizontal pleiotropic outliers in multi-instrument summary-level MR testing. We showed using simulations that the MR-PRESSO test is best suited when horizontal pleiotropy occurs in <50% of instruments. Next we applied the MR-PRESSO test, along with several other MR tests, to complex traits and diseases and found that horizontal pleiotropy (i) was detectable in over 48% of significant causal relationships in MR; (ii) introduced distortions in the causal estimates in MR that ranged on average from -131% to 201%; (iii) induced false-positive causal relationships in up to 10% of relationships; and (iv) could be corrected in some but not all instances.
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“We further used the MR-PRESSO global test49 to assess for horizontal pleiotropy and found no significant P values in the four studies used in the MR meta-analysis (UKB GWAX P = 0.07, UKB GWAS P = 0.20, FinnGen P = 0.84 and GR@ACE P = 0.91, all P values unadjusted for multiple comparisons).”
From Clonal hematopoiesis is associated with protection from Alzheimer’s disease (2023) · cites this paper as [49]
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“To ensure the robustness of our findings, we employed sensitivity analyses using Cochran’s Q statistic to assess heterogeneity among instrumental variables and the MR–Egger intercept and MR pleiotropy residual sum and outlier (MR-PRESSO) to evaluate potential pleiotropy90.”
From Genetic trade-offs in fertility and longevity explain the maintenance of disease-associated alleles in humans (2026) · cites this paper as [90]
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A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Self-citationBowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816
Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922
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
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21758 · Cited by 6,050
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336
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
Self-citationRobust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
Hartwig, F. P., Davey Smith, G., & Bowden, J. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyx102 · Cited by 3,485
Research works printed but not linked: 1
- Fox, J. & Long, J. S. Modern Methods of Data Analysis (Sage Publications, Thousand Oaks, CA, USA, 1990).
Cited by
Sorted by citations
Items 801–900 of 1,027
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Zhang, Z., Fang, T., & Lv, Y. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.961717 · Cited by 32
Zhang, H., Chen, L., Fan, Z., & Lv, G. (2023) · Liver International · doi:10.1111/liv.15616 · Cited by 33
Zuber, V., Lewin, A., Levin, M. G., Haglund, A., Ben‐Aicha, S., Emanueli, C., Damrauer, S. M., Burgess, S., Gill, D., & Bottolo, L. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.06.005 · Cited by 30
Zhou, R., Zhang, L., Sun, Y., Yan, J., & Jiang, H. (2023) · Nutrients · doi:10.3390/nu15173709 · Cited by 33
Low levels of small HDL particles predict but do not influence risk of sepsis
Hamilton, F., Pedersen, K. M., Ghazal, P., Nordestgaard, B. G., & Smith, G. D. (2023) · Critical Care · doi:10.1186/s13054-023-04589-1 · Cited by 30
Yu, F., Du, Y., Li, C., Zhang, H., Lai, W., Li, S., Ye, Z., Fu, W., Li, S., Li, X., et al. (2024) · Scientific Reports · doi:10.1038/s41598-023-50990-9 · Cited by 36
Zhang, H., Zhang, Q., Song, Y., Wang, L., Cai, M., Bao, J., & Yu, Q. S. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1285872 · Cited by 32
Unravelling the complex causal effects of substance use behaviours on common diseases
Xue, A., Zhu, Z., Wang, H., Jiang, L., Visscher, P. M., Zeng, J., & Yang, J. (2024) · Communications Medicine · doi:10.1038/s43856-024-00473-3 · Cited by 32
Pan, Y., Wang, Y., & Wang, Y. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.119.014889 · Cited by 31
Li, H., Zhang, Q., Shen, W., Li, B., Lv, W., Xiao, H., & Deng, H. (2020) · Aging · doi:10.18632/aging.102815 · Cited by 34
Peters, T. M., Holmes, M. V., Richards, J. B., Palmer, T., Forgetta, V., Lindgren, C. M., Asselbergs, F. W., Nelson, C. P., Samani, N. J., McCarthy, M. I., et al. (2020) · Diabetes Care · doi:10.2337/dc20-1137 · Cited by 33
Khoei, N. S., Carreras‐Torres, R., Murphy, N., Gunter, M. J., Brennan, P., Smith-Byrne, K., Mariosa, D., McKay, J., O’Mara, T. A., Jarrett, R. F., et al. (2021) · Cells · doi:10.3390/cells10020394 · Cited by 34
Dimou, N. L., Yarmolinsky, J., Bouras, E., Tsilidis, K. K., Martin, R. M., Lewis, S. J., Gram, I. T., Bakker, M. F., Brenner, H., Figueiredo, J. C., et al. (2021) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-20-1218 · Cited by 37
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Grotzinger, A. D. (2021) · Psychological Medicine · doi:10.1017/s0033291721000829 · Cited by 40
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Feng, Y., Fu, M., Bai, Y., Li, G., Wu, X., Wei, W., Meng, H., Li, G., Guan, X., Ming, F., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.742411 · Cited by 32
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Galan, D., Perry, B. I., Warrier, V., Davidson, C. C., Stupart, O., Easton, D. F., Khandaker, G. M., & Murray, G. K. (2022) · Scientific Reports · doi:10.1038/s41598-022-19214-4 · Cited by 34
Han, X., Zhu, Z., Xiao, Q., Li, J., Hong, X., Wang, X., Hasegawa, K., Camargo, C. A., & Liang, L. (2022) · Communications Biology · doi:10.1038/s42003-022-04070-9 · Cited by 36
Zhao, L., Zhao, W., Anttila, V., Artto, V., Belin, A. C., Bjornsdottir, A., Björnsdóttir, G., Boomsma, D. I., Børte, S., Chalmer, M. A., et al. (2023) · The Journal of Headache and Pain · doi:10.1186/s10194-023-01550-z · Cited by 31
Guo, G., Wu, Y., Liu, Y., Wang, Z., Xu, G., Wang, X., Liang, F., Lai, W., Xiao, X., Zhu, Q., et al. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1113334 · Cited by 34
Constipation and cardiovascular disease: A two-sample Mendelian randomization analysis
Dong, Q., Chen, D., Zhang, Y., Xu, Y., Yan, L., & Jiang, J. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1080982 · Cited by 34
Hu, Y., Wang, X., Lin, L., Huan, J.-M., Li, Y., Zhang, L., & Li, Y. (2023) · Lipids in Health and Disease · doi:10.1186/s12944-023-01882-4 · Cited by 32
Liang, J., Cade, B. E., He, K. Y., Wang, H., Lee, J., Sofer, T., Williams, S., Li, R., Chen, H., Gottlieb, D. J., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.10.002 · Cited by 21
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Crouse, W. L., Keele, G. R., Gastonguay, M. S., Churchill, G. A., & Valdar, W. S. J. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010184 · Cited by 36
Artigas, M. S., Sánchez‐Mora, C., Rovira, P., Vilar‐Ribó, L., Ramos‐Quiroga, J. A., & Marta Ribasés, A. (2022) · International Journal of Epidemiology · doi:10.1093/ije/dyac128 · Cited by 32
Association of genetically predicted lipid traits and lipid-modifying targets with heart failure
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Hu, J., Song, J., Chen, Z., Yang, J., Qianhui, S., Jin, F., Qiyuan, P., Chang, X., Tian, Y., Luo, Y., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1057602 · Cited by 31
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Larsson, S. C., Chen, J., Gill, D., Burgess, S., & Yuan, S. (2024) · Stroke · doi:10.1161/strokeaha.124.046249 · Cited by 33
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Jiang, F., Wang, L., Ying, H., Sun, J., Zhao, J., Lü, Y., Bian, Z., Chen, J., Fang, A., Zhang, X., et al. (2024) · Med · doi:10.1016/j.medj.2024.07.013 · Cited by 34
Zhao, J. V., Luo, S., & Schooling, C. M. (2019) · Communications Biology · doi:10.1038/s42003-019-0579-z · Cited by 30
Yu, X., Yuan, Z., Lu, H., Gao, Y., Chen, H., Shao, Z., Jia-ji, Y., Guan, F., Huang, S., & Zeng, P. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa074 · Cited by 32
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Liu, D., Wang, Y., Jing, H., Meng, Q., & Yang, J. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.09.019 · Cited by 30
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Jiang, Q., Qin, D., Yang, L., Lin, Y., Zhai, L., Zhang, Y., Yang, G., Wang, K., Tong, D., Li, X., et al. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.02.011 · Cited by 33
Park, S., Lee, S., Kim, Y., Lee, Y., Kang, M. W., Kim, K., Kim, Y. C., Han, S. S., Lee, H., Lee, J. P., et al. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2020071086 · Cited by 32
van Vliet, N. A., Kamphuis, A. E. P., den Elzen, W. P. J., Blauw, G. J., Gussekloo, J., Noordam, R., & van Heemst, D. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab674 · Cited by 37
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Ma, X., Li, H., Lv, W., Qiu, C., Xiao, H., & Deng, H. (2022) · Aging · doi:10.18632/aging.204145 · Cited by 31
Feng, Y., Wang, R., Li, C., Cai, X., Huo, Z., Liu, Z., Ge, F., Huang, C., Lu, Y., Zhong, R., et al. (2022) · Translational Lung Cancer Research · doi:10.21037/tlcr-22-34 · Cited by 31
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Lv, Z., Cui, J., & Zhang, J. (2022) · European Spine Journal · doi:10.1007/s00586-022-07389-3 · Cited by 33
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Clarke, R., Wright, N., Walters, R. G., Gan, W., Guo, Y., Millwood, I. Y., Yang, L., Chen, Y., Lewington, S., Lv, J., et al. (2023) · Hypertension · doi:10.1161/hypertensionaha.122.20120 · Cited by 31
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Yang, J., Liu, P., Wang, S., Jiang, T., Zhang, Y., & Liu, W. (2023) · European journal of medical research · doi:10.1186/s40001-023-01322-0 · Cited by 31
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Gao, Y., Li, Q., Yang, L., Zhao, H., Wang, D., & Pesola, A. J. (2024) · Sports Medicine · doi:10.1007/s40279-024-02090-5 · Cited by 34
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You, D., Wu, Y., Lu, M., Shao, F., Tang, Y., Liu, S., Liu, L., Zhou, Z., Zhang, R., Shen, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58248-w · Cited by 35
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Yu, X., Wei, Y., Zeng, P., & Lei, S. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4316 · Cited by 29
Logtenberg, E., Overbeek, M. F., Pasman, J. A., Abdellaoui, A., Luijten, M., van Holst, R. J., Vink, J. M., Denys, D. A. J. P., Medland, S. E., Verweij, K. J. H., et al. (2021) · The British Journal of Psychiatry · doi:10.1192/bjp.2021.81 · Cited by 29
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Zhang, Q., Meng, X., Qiu, C., Shen, H., Zhao, Q., Zhao, L., Tian, Q., Sun, C., & Deng, H.-W. (2022) · Human Genomics · doi:10.1186/s40246-022-00388-x · Cited by 30
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Ren, Q., Luo, F., Ge, S., & Chen, P. (2022) · Cancer Medicine · doi:10.1002/cam4.5043 · Cited by 29
Sun, X., Chen, L., & Zheng, L. (2022) · Human Molecular Genetics · doi:10.1093/hmg/ddac162 · Cited by 30
Chen, J., Zhou, Y., Sun, Y., Yuan, S., Kalla, R., Sun, J., Zhao, J., Wang, L., Chen, X., Zhou, X., et al. (2022) · Journal of Crohn s and Colitis · doi:10.1093/ecco-jcc/jjac191 · Cited by 31
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Metadata
- Authors
- Verbanck, M., Chen, C.-Y., Neale, B., & Do, R.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Broad Institute (US)
- Corresponding author
- Neale, Benjamin
- Do, Ron
- Venue
- Nature Genetics
- Published
- 2018-04-23
- Volume
- 50
- Issue
- 5
- Pages
- 693-698
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC6083837
- OpenAlex
- W2803072880
- Cited by
- 8,591
- References
- 77
- Citations by year
- 2026: 837 · 2025: 1873 · 2024: 2845 · 2023: 1422 · 2022: 743 · 2021: 441 · 2020: 252 · 2019: 136 · 2018: 35
- FWCI
- 134.78
- Type
- journal article
- Language
- en
- Update notices
- correction (2018-07-02)
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- American Heart Association (15CVGPSD27130014)
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R01HL139865)
- National Institute of Mental Health (R01MH107649, R01MH094469)
- National Human Genome Research Institute (U01HG009088)
- National Institute of General Medical Sciences (R35GM124836)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- horizontal pleiotropy, Mendelian randomization, MR-PRESSO, causal inference, complex traits, disease, summary-level data
- MeSH terms
- Disease, Humans, Genetic Variation, Genetic Predisposition to Disease, Genetic Pleiotropy
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