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Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
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Abstract
Background: Mendelian randomization (MR) is being increasingly used to strengthen causal inference in observational studies. Availability of summary data of genetic associations for a variety of phenotypes from large genome-wide association studies (GWAS) allows straightforward application of MR using summary data methods, typically in a two-sample design. In addition to the conventional inverse variance weighting (IVW) method, recently developed summary data MR methods, such as the MR-Egger and weighted median approaches, allow a relaxation of the instrumental variable assumptions. Methods: Here, a new method - the mode-based estimate (MBE) - is proposed to obtain a single causal effect estimate from multiple genetic instruments. The MBE is consistent when the largest number of similar (identical in infinite samples) individual-instrument causal effect estimates comes from valid instruments, even if the majority of instruments are invalid. We evaluate the performance of the method in simulations designed to mimic the two-sample summary data setting, and demonstrate its use by investigating the causal effect of plasma lipid fractions and urate levels on coronary heart disease risk. Results: The MBE presented less bias and lower type-I error rates than other methods under the null in many situations. Its power to detect a causal effect was smaller compared with the IVW and weighted median methods, but was larger than that of MR-Egger regression, with sample size requirements typically smaller than those available from GWAS consortia. Conclusions: The MBE relaxes the instrumental variable assumptions, and should be used in combination with other approaches in sensitivity analyses.
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“Additional approaches to test the exclusion restriction include weighted median56 and mode.57”
From Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomisation (STROBE-MR): explanation and elaboration. (2021) · cites this paper as [57]
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“The MR-PRESSO method is a variation on the IVW method that first sequentially removes genetic variants from the analysis whose variant-specific causal estimate differs substantially from those of other variants 21 .”
From Guidelines for performing Mendelian randomization investigations (2020) · cites this paper as [21]
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Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,938
Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816
Self-citationBowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922
Self-citationDensity Estimation for Statistics and Data Analysis
(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,514
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
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Davey Smith, G., & Hemani, G. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu328 · Cited by 4,677
Willer (2013) · doi:10.1038/ng.2797 · Cited by 2,983
Burgess, S., Bowden, J., Fall, T., Ingelsson, E., & Thompson, S. G. (2017) · Epidemiology · doi:10.1097/ede.0000000000000559 · Cited by 2,017
Self-citationA framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
Bowden, J., Del Greco M, F., Minelli, C., Davey Smith, G., Sheehan, N., & Thompson, J. (2017) · Statistics in Medicine · doi:10.1002/sim.7221 · Cited by 1,887
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Zhang, Y., Chen, Y., Mei, Y., Xu, R., Zhang, H., & Feng, X. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1257114 · Cited by 18
Andreu-Bernabeu, Á., González‐Peñas, J., Arango, C., & Díaz‐Caneja, C. M. (2023) · BMJ Mental Health · doi:10.1136/bmjment-2023-300821 · Cited by 19
Chen, S.-D., You, J., Zhang, W., Wu, B., Ge, Y., Xiang, S., Du, J., Kuo, K., Banaschewski, T., Barker, G. J., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-023-01792-6 · Cited by 19
Yin, G., Xin, M., Zhao, S., Zhao, M., Xu, J., Chen, X., & Xu, Q. (2024) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2024.116659 · Cited by 19
Wang, K., Chen, Z., Wei, Z., He, L., & Gong, L. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1432973 · Cited by 19
Song, Z., Cheng, Z. J., Yuan, H., Chang, Z., Lv, Y., Huang, X., Li, H., Liang, Z., Cao, W., Chen, Y., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05604-x · Cited by 24
Zeng, Z., Jin, T., Ni, J., Huang, L., Xie, Y., He, W., Zhang, L., Ding, C., & Cen, H. (2022) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2022.152095 · Cited by 19
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Wang, Z., Chen, S., Zhu, Q., Wu, Y., Xu, G.-F., Guo, G., Lai, W., Chen, J.-Y., & Zhong, S. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.695480 · Cited by 12
Gormley, M., Dudding, T., Kachuri, L., Burrows, K., Chong, A., Martin, R. M., Thomas, S. J., Tyrrell, J., Ness, A., Brennan, P., et al. (2022) · BMC Medicine · doi:10.1186/s12916-022-02233-3 · Cited by 18
Wang, T., Cheng, J., & Wang, Y. (2022) · Genes & Nutrition · doi:10.1186/s12263-022-00708-9 · Cited by 19
Ding, Y., Yang, S., Fan, S., Tang, Y., Teng, Y., Tao, X., & Lü, W. (2022) · Journal of Immunology Research · doi:10.1155/2022/8689777 · Cited by 19
Chen, T., Chen, C., Fang, C., Cheng, Y., & Lin, K. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.09.109 · Cited by 18
Huang, Y., Zhang, W.-M., Wei, Z.-S., Huang, H., Mo, Q., Shi, D.-L., Han, L., Han, Y.-Y., Nong, S.-K., & Lin, G. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1136169 · Cited by 18
Lin, Z., Xue, H., & Pan, W. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010762 · Cited by 18
Wang, Y., Kong, L., Ye, C., Dou, C., Zheng, J., Xu, M., Xu, Y., Li, M., Zhao, Z., Lu, J., et al. (2023) · Liver International · doi:10.1111/liv.15669 · Cited by 18
Liu, C., Ran, J., Hou, B., Li, Y., Morelli, J. N., & Li, X. (2023) · Journal of Orthopaedic Research® · doi:10.1002/jor.25656 · Cited by 17
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Wu, M., Du, Y., Zhang, C., Li, Z., Li, Q., Qi, E., Ruan, W., Feng, S., & Zhou, H. (2023) · Nutrients · doi:10.3390/nu15194160 · Cited by 19
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Song, Y., Ye, T., Roberts, L. R., Larson, N. B., & Winham, S. J. (2023) · Hepatology · doi:10.1097/hep.0000000000000649 · Cited by 18
Fan, B., & Zhao, J. V. (2024) · BMC Medicine · doi:10.1186/s12916-023-03218-6 · Cited by 20
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Huang, W., Jiang, R., Li, S., Zeng, R., Yang, L., Zhang, Y., Tong, S., Lyu, Y., Wang, J., Lian, Q., et al. (2024) · JHEP Reports · doi:10.1016/j.jhepr.2024.101037 · Cited by 20
Dai, X.-C., Yu, Y., Zhou, S.-Y., Yu, S., Xiang, M., & Ma, H. (2024) · BioData Mining · doi:10.1186/s13040-024-00356-2 · Cited by 20
Chang, K.-J., Wu, H.-Y., Chiang, P.-H., Hsu, Y., Weng, P., Yu, T.-H., Li, C.-Y., Chen, Y., Dai, H.-J., Tsai, H.-Y., et al. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.03.015 · Cited by 18
Li, B., Han, Y., Fu, Z., Chai, Y., Guo, X., Du, S., Li, C. K., & Wang, D. W. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1397485 · Cited by 18
Mei, Z., Xu, L., Huang, Q., Lin, C., Yu, M., Shali, S., Wu, H., Lu, Y., Wu, R., Wang, Z., et al. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.124.036906 · Cited by 17
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Li, J., Zhang, J., Kong, B., Chen, L., Yuan, J., He, M., Wang, Y., Wei, S., Chen, W., Tang, Y., et al. (2023) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2023.111474 · Cited by 17
Arora, N., Bhatta, L., Skarpsno, E. S., Dalen, H., Åsvold, B. O., Brumpton, B. M., Richmond, R. C., & Strand, L. B. (2023) · BMC Medicine · doi:10.1186/s12916-023-03078-0 · Cited by 18
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Ai, S., Wang, X., Wang, S., Zhao, Y., Guo, S., Li, G., Chen, Z., Lin, F., Guo, S. J., Li, Y., et al. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01540-6 · Cited by 17
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Ni, F.-D., Wang, F., Sun, J., Tu, M., Chen, J., Shen, X., Ye, X., Chen, R., Liu, Y., Sun, X., et al. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.10.008 · Cited by 16
Guo, H., Zhao, X., Han, K. Q., & Wang, Y. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111402 · Cited by 17
Gajendragadkar, P. R., Ende, A. V., Ibrahim, M. A.-H., Valdés‐Márquez, E., Camm, C. F., Murgia, F., Stiby, A. I., Casadei, B., & Hopewell, J. C. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003572 · Cited by 15
König, E., Rainer, J., Hernandes, V. V., Paglia, G., Fabiola Del Greco, M., Bottigliengo, D., Yin, X., Chan, L. S., Teumer, A., Pramstaller, P. P., et al. (2022) · Metabolites · doi:10.3390/metabo12070604 · Cited by 15
Iwagami, M., Goto, A., Katagiri, R., Sutoh, Y., Koyanagi, Y. N., Nakatochi, M., Nakano, S., Hanyuda, A., Narita, A., Shimizu, A., et al. (2022) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-22-0146 · Cited by 17
Liang, Z., Zhao, L., Lou, Y., & Liu, S. (2023) · QJM · doi:10.1093/qjmed/hcad048 · Cited by 17
Wootton, R. E., Lawn, R. B., Magnus, M. C., Treur, J. L., Corfield, E. C., Njølstad, P. R., Andreassen, O. A., Lawlor, D. A., Munafo, M. R., Håberg, S. E., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02831-9 · Cited by 18
He, G., Cao, Y., Ma, H., Guo, S., Xu, W., Wang, D., Chen, Y., & Wang, H. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1190894 · Cited by 16
Lin, S., Zhang, H., Qi, M., Cooper, D. N., Yang, Y., Yang, Y., & Zhao, H. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120325 · Cited by 17
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Ong, J., Seviiri, M., Dusingize, J. C., Wu, Y., Han, X., Shi, J., Olsen, C. M., Neale, R. Ε., Thompson, J. F., Saw, R. P. M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41231-8 · Cited by 17
Chen, Y., Zhao, M., Ji, K., Li, J., Wang, S., Lu, L., Chen, Z., & Zeng, J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1244272 · Cited by 16
Khafagy, R. T. M., Paterson, A. D., & Dash, S. (2023) · Diabetes · doi:10.2337/db23-0330 · Cited by 18
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Liu, X., Liu, J., Zhang, T., Wang, Q., & Zhang, H. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1267383 · Cited by 17
Gu, P., Pu, B., Ma, Y., Yue, D., Qiao, X., Li, H., Liu, T., Zheng, X., & Ou-Yang, C.-Z. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1238757 · Cited by 16
Wei, L., Li, G., Peng, D., Li, N., & Wang, W. (2023) · Scientific Reports · doi:10.1038/s41598-023-50055-x · Cited by 15
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Huang, Q., Huang, Y., Xu, S., Yuan, X., Liu, X., & Chen, Z. (2024) · Medicine · doi:10.1097/md.0000000000035060 · Cited by 19
Teng, D., Jia, W., Wang, W., Liao, L., Xu, B., Gong, L., Dong, H., Zhong, L., & Yang, J. (2024) · BMC Cardiovascular Disorders · doi:10.1186/s12872-024-03804-3 · Cited by 19
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Metadata
- Authors
- Hartwig, F. P., Davey Smith, G., & Bowden, J.
- Affiliations
- Universidade Federal de Pelotas (BR)
- MRC Integrative Epidemiology Unit and
- University of Bristol (GB)
- Corresponding author
- Hartwig, Fernando Pires
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-07-12
- Volume
- 46
- Issue
- 6
- Pages
- 1985-1998
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC5837715
- OpenAlex
- W2613603864
- Cited by
- 3,485
- References
- 28
- Citations by year
- 2026: 387 · 2025: 798 · 2024: 1094 · 2023: 475 · 2022: 231 · 2021: 226 · 2020: 119 · 2019: 88 · 2018: 53 · 2017: 12
- FWCI
- 49.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Epidemiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Bristol Research (University of Bristol) (submittedVersion, cc-by)
- Explore Bristol Research (submittedVersion, cc-by)
- Funders
- University of Bristol (MC_UU_12013/9)
- Medical Research Council (MC_UU_12013, MR/N501906/1, MC_UU_12013/9)
- 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
- Mendelian randomization, summary data, invalid instruments, causal effect estimation, MR-Egger, weighted median, inverse variance weighting, plasma lipids, uric acid, coronary artery disease, sensitivity analysis
- MeSH terms
- Humans, Models, Statistical, Causality, Sample Size, Genome-Wide Association Study, Mendelian Randomization Analysis, Genetic Pleiotropy
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