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Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates
Open accessAbstract
Mendelian randomization uses genetic variants to make causal inferences about a modifiable exposure. Subject to a genetic variant satisfying the instrumental variable assumptions, an association between the variant and outcome implies a causal effect of the exposure on the outcome. Complications arise with a binary exposure that is a dichotomization of a continuous risk factor (for example, hypertension is a dichotomization of blood pressure). This can lead to violation of the exclusion restriction assumption: the genetic variant can influence the outcome via the continuous risk factor even if the binary exposure does not change. Provided the instrumental variable assumptions are satisfied for the underlying continuous risk factor, causal inferences for the binary exposure are valid for the continuous risk factor. Causal estimates for the binary exposure assume the causal effect is a stepwise function at the point of dichotomization. Even then, estimation requires further parametric assumptions. Under monotonicity, the causal estimate represents the average causal effect in 'compliers', individuals for whom the binary exposure would be present if they have the genetic variant and absent otherwise. Unlike in randomized trials, genetic compliers are unlikely to be a large or representative subgroup of the population. Under homogeneity, the causal effect of the exposure on the outcome is assumed constant in all individuals; rarely a plausible assumption. We here provide methods for causal estimation with a binary exposure (although subject to all the above caveats). Mendelian randomization investigations with a dichotomized binary exposure should be conceptualized in terms of an underlying continuous variable.
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“Also, if the exposure is a dichotomisation of a continuous risk factor, this poses a further threat to the violation of the exclusion restriction assumption.114”
From Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomisation (STROBE-MR): explanation and elaboration. (2021) · cites this paper as [114]
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“Caution is especially warranted when interpreting effect estimates with a binary exposure.114”
From Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomisation (STROBE-MR): explanation and elaboration. (2021) · cites this paper as [114]
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Citations
Cites
Introductory Econometrics: A Modern Approach
Wooldridge, J. M. (1999) · Cited by 14,354
Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816
Self-citationMostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467
Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922
Self-citationMendelian 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
Self-citationDavey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
EPIC- InterAct Consortium, Burgess, S., Scott, R. A., Timpson, N. J., Davey Smith, G., & Thompson, S. G. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0011-z · Cited by 1,803
Self-citationCalculating statistical power in Mendelian randomization studies.
Brion, M.-J. A., Shakhbazov, K., & Visscher, P. M. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt179 · Cited by 1,751
Instruments for Causal Inference: An Epidemiologist's Dream?
Hernán, M. A., & Robins, J. M. (2006) · Epidemiology · doi:10.1097/01.ede.0000222409.00878.37 · Cited by 961
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Xue, H., & Pan, W. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010205 · Cited by 14
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Kuang, Z., Sala, F., Sohoni, N. S., Wu, S., Córdova‐Palomera, A., Dunnmon, J., Priest, J. R., & Ré, C. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.05316 · Cited by 14
Di, H., Zhu, Y., Xia, W., Meng, X., Zhang, M., Xu, M., Feng, J., Tian, Q., Yan, H., Cao, S., et al. (2022) · Sleep Medicine · doi:10.1016/j.sleep.2022.03.024 · Cited by 14
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Tang, C.-M., Li, G. H., & Cheung, C. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1185957 · Cited by 13
Shen, Z., Qiu, B., Chen, L., & Zhang, Y. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1256833 · Cited by 13
Han, X., Lin, X., Li, G., Wang, J., Meng, X., Chen, T., Zhang, Y., & Fu, X. (2024) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2024.111806 · Cited by 13
Mendelian Randomization Studies in Atherosclerotic Cardiovascular Diseases
Ko, D. S., & Kim, Y. H. (2024) · Journal of Lipid and Atherosclerosis · doi:10.12997/jla.2024.13.3.280 · Cited by 13
Dixon, P., Harrison, S., Hollingworth, W., Davies, N. M., & Smith, G. D. (2022) · Economics & Human Biology · doi:10.1016/j.ehb.2022.101154 · Cited by 13
Chakravorty, S., Kember, R. L., Mazzotti, D. R., Dashti, H. S., Toikumo, S., Gehrman, P., & Kranzler, H. R. (2023) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2023.110912 · Cited by 11
Meisinger, C., & Freuer, D. (2023) · BMJ Mental Health · doi:10.1136/bmjment-2022-300642 · Cited by 12
Yu, J., Zhuang, C., Guo, W., Zhou, X., Chen, Y., Wang, L., Li, W.-K., Zhu, Y., Zhuang, R., & Tian, K. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1200892 · Cited by 12
Demange, P., Boomsma, D. I., van Bergen, E., & Nivard, M. G. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00245-x · Cited by 13
Jiang, T., Weng, Q., Liu, K., He, H., Zhang, Y., Zhang, W., Doherty, M., Xie, J., Yang, T., Li, J., et al. (2024) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2024.101169 · Cited by 12
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Gao, M., Liu, M., Zhang, Y., Tang, L., Chen, H., & Zhu, Z. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.08.061 · Cited by 12
Cavaillès, C., Andrews, S. J., Leng, Y., Chatterjee, A., Daghlas, I., & Yaffe, K. (2024) · Journal of the American Heart Association · doi:10.1016/j.sleep.2023.11.894 · Cited by 17
Li, G. H., Cheung, C., Cheung, E. Y., Chan, W.-C., & Tan, K. C. B. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab527 · Cited by 12
Omarov, M., Zhang, L., Jorshery, S. D., Malik, R., Das, B., Bellomo, T. R., Mansmann, U., Menten, M. J., Natarajan, P., Dichgans, M., et al. (2024) · medRxiv · doi:10.1101/2024.10.17.24315675 · Cited by 16
Zhou, Y., Zhu, J., Huang, Y., Ma, Y., Liu, Y., Wu, K., Lin, Q., Zhou, J., Tu, T., & Liu, Q. (2024) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14582 · Cited by 11
Deng, Z., Li, J., Zhang, Y., & Zhang, Y. (2024) · BMC Oral Health · doi:10.1186/s12903-024-04367-7 · Cited by 13
Zhang, Z., Jiang, C., Wang, X., Qiu, H., Li, J., Wang, Y., Luo, Q., & Ju, Y. (2025) · European Journal of Psychotraumatology · doi:10.1080/20008066.2025.2480884 · Cited by 15
Pasman, J. A., Bergstedt, J., Harder, A., Gong, T., Xiong, Y., Hägg, S., Fang, F., Treur, J. L., Choi, K. W., Sullivan, P. F., et al. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00471-x · Cited by 16
Ong, J., Gharahkhani, P., Vaughan, T. L., Whiteman, D. C., Kendall, B. J., & MacGregor, S. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab253 · Cited by 11
Sleep Duration and Visceral Adipose Tissue: Linear and Nonlinear Mendelian Randomization Analyses
Yu, Y., Chen, Y., Zhang, H., Ai, S., Zhang, J., Benedict, C., Wang, N., Lu, Y., & Tan, X. W. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac551 · Cited by 11
Zhang, Y., Zhang, H., Zhu, J., He, Y., Wang, P., Li, D., Liu, X., Jin, W. Y., Zhang, J. J., Xu, C. S., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-10606-x · Cited by 10
Occupational factors and low back pain: a Mendelian randomization study
Wang, Z., Feng, W., & Jin, Q. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1236331 · Cited by 12
Thompson, W., Swain, S., Zhao, S. S., Kamps, A., Coupland, C. A. C., Kuo, C., Bierma‐Zeinstra, S., Runhaar, J., Doherty, M., & Zhang, W. (2023) · Osteoarthritis and Cartilage Open · doi:10.1016/j.ocarto.2023.100414 · Cited by 10
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Nakada, S., Ho, F. K. W., Celis-Morales, C. A., & Pell, J. P. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.032011 · Cited by 11
Ma, Y., Cai, J., Liu, L., Wen, T., Huang, W., Hou, W., Wei, Z., Xu, Y., Xu, Y., Wang, Y., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1327849 · Cited by 10
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Baumeister, S., Nolde, M., Alayash, Z., Leitzmann, M. F., Baurecht, H., & Meisinger, C. (2021) · Addiction Biology · doi:10.1111/adb.13020 · Cited by 11
Body mass index and adipose distribution have opposing genetic impacts on human blood traits
Thom, C. S., Wilken, M. B., Chou, S. T., & Voight, B. F. (2022) · eLife · doi:10.7554/elife.75317 · Cited by 9
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Zhao, S. S., Rajasundaram, S., Karhunen, V., Alam, U., & Gill, D. (2022) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2022.152058 · Cited by 10
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Bull, C. J., Hazelwood, E., Bell, J. A., Tan, V. Y., Constantinescu, A., Borges, M. C., Legge, D., Burrows, K., Huyghe, J. R., Brenner, H., et al. (2023) · eLife · doi:10.7554/elife.87894 · Cited by 10
Zhang, F., Huang, J., Zhang, G., Dai, M., Yin, T., Huang, C., Liu, J., & Zhang, Y. (2024) · Human Reproduction Open · doi:10.1093/hropen/hoae011 · Cited by 11
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Song, Z., Li, W., Han, Y., Xu, Y., Ding, H., & Wang, Y. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1340110 · Cited by 10
Culliford, R., Cornish, A. J., Law, P., Farrington, S. M., Palin, K., Jenkins, M. A., Casey, G., Hoffmeister, M., Brenner, H., Chang-Claude, J. C., et al. (2021) · British Journal of Cancer · doi:10.1038/s41416-020-01211-x · Cited by 10
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Baumeister, S., Nolde, M., Holtfreter, B., Baurecht, H., Gläser, S., Kocher, T., & Ehmke, B. (2021) · Clinical Oral Investigations · doi:10.1007/s00784-021-04000-9 · Cited by 10
Wang, M., Zhang, Z., Liu, D., Ji, L., Huang, S., Cao, L., Wei, N., Ye, D., Ma, Y., & Lian, X. (2021) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2021.11.021 · Cited by 10
Zhang, X., Li, X., He, Y., Law, P., Farrington, S. M., Campbell, H. J., Tomlinson, I. P. M., Houlston, R. S., Dunlop, M. G., Timofeeva, M. N., et al. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01655-9 · Cited by 11
Wang, Z., Lu, Y., Fornage, M., Jiao, L., Shen, J., Li, D., & Wei, P. (2022) · Epigenetics · doi:10.1080/15592294.2022.2026591 · Cited by 10
Thom, C. S., Ding, Z., Levin, M. G., Damrauer, S. M., Lee, K. M., Lynch, J. A., Chang, K., Tsao, P. S., Cho, K., Wilson, P. W. F., et al. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa193 · Cited by 10
Xiang, Y., Chau, C. K., Qiu, J., Rao, S., & So, H. (2021) · medRxiv · doi:10.1101/2021.03.20.21254008 · Cited by 9
Wong, T. H. T., Luo, S., Yeung, S. L. A., & Louie, J. C. Y. (2024) · Journal of Diabetes · doi:10.1111/1753-0407.70004 · Cited by 12
Chen, S., Liang, Y., Mo, J. M. Y., Li, Q. H. Y., He, B., Luo, S., Burgess, S., & Yeung, S. L. A. (2025) · European Journal of Human Genetics · doi:10.1038/s41431-025-01840-x · Cited by 9
Self-citationCannabis use and the risk of periodontitis: A two‐sample Mendelian randomization study
Baumeister, S., Alayash, Z., Baurecht, H., Reckelkamm, S. L., Kocher, T., Holtfreter, B., Ehmke, B., & Nolde, M. (2022) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.13632 · Cited by 11
Zou, C., Wang, Z., Huang, W., Lu, J., Guo, V. Y., Zhang, Y., Zang, S., Yang, J., Han, L., & Jiang, G. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.920791 · Cited by 9
Lloyd, K., Harrison, S., Sallis, H., Smith, G. D., Munafo, M. R., & Wootton, R. E. (2023) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntad173 · Cited by 9
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Reckelkamm, S. L., Alayash, Z., Holtfreter, B., Nolde, M., & Baumeister, S. (2024) · Journal of Dental Research · doi:10.1177/00220345231218903 · Cited by 11
Physical activity and the risk of periodontitis: an instrumental variable study
Baumeister, S., Reckelkamm, S. L., Ehmke, B., Nolde, M., & Baurecht, H. (2023) · Clinical Oral Investigations · doi:10.1007/s00784-023-05109-9 · Cited by 8
Che, B., Yuan, S., Zhang, H., Zhai, J., Zhang, Y., Wu, C., & Tang, K. (2024) · BMC Cancer · doi:10.1186/s12885-024-12354-y · Cited by 9
Yao, J., Duan, R., Li, Q., Mo, R., Zheng, P., & Feng, T. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1346809 · Cited by 9
Duan, L., Li, S., Chen, D., Shi, Y., Zhou, X., & Feng, Y. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06287-w · Cited by 9
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Bashir, N. Z., Romandini, M., Kebschull, M., Tsilidis, K. K., Michaud, D. S., & Burgess, S. (2025) · Journal of Periodontal Research · doi:10.1111/jre.13411 · Cited by 8
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He, W., van der Most, P. J., Ong, J., Hwang, L., Wu, Y., Magnø, M. S., Vehof, J., Krebs, K., Mauring, L., Õunap, K., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62456-9 · Cited by 8
The effect of type 2 diabetes genetic predisposition on non-cardiovascular comorbidities
Arruda, A. L., Bocher, O., Taylor, H. J., Cammann, D., Yoshiji, S., Yin, X., Zhao, C. G., Chen, J., Wood, A. C., Ken, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-64927-5 · Cited by 8
Carreras‐Torres, R., Kim, A. E., Lin, Y., Díez‐Obrero, V., Bien, S. A., Qu, C., Wang, J., Dimou, N. L., Aglago, E. K., Albanes, D., et al. (2022) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-22-0763 · Cited by 8
Tan, Y., Huang, Z., Li, H., Yao, H., Fu, Y., Wu, X., Lin, C., Lai, Z., Yang, G., & Jing, C. (2024) · Biomedicines · doi:10.3390/biomedicines12010249 · Cited by 8
Liang, Y., Luo, S., Bell, S., Mo, J. M. Y., He, B., Zhou, Y., Bai, X., & Au Yeung, S. L. (2024) · BMC Medicine · doi:10.1186/s12916-024-03486-w · Cited by 8
Wang, H., Yang, B., Zeng, X., Zhang, S., Jiang, Y., Wang, L., & Liao, C. (2024) · Nature and Science of Sleep · doi:10.2147/nss.s489433 · Cited by 8
Shi, J., Liang, Z., Liu, Z., Pan, L., Hu, X., Tian, Y., Jin, H., Liu, Y., Cheng, Y., & Zhang, M. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.124.036202 · Cited by 8
Yu, Y., Hou, L., Shi, X., Sun, X., Liu, X., Yu, Y., Yuan, Z., Li, H., & Xue, F. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010107 · Cited by 8
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Dellepiane, S., Paranjpe, I., Rajagopal, M., Kamat, S., O’Hagan, R., Gulamali, F. F., Rein, J. L., Charney, A. W., Do, R., Coca, S. G., et al. (2022) · Kidney Medicine · doi:10.1016/j.xkme.2022.100582 · Cited by 9
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Wang, M., Daghlas, I., Zhang, Z., Ye, D., Li, S., & Liu, D. (2023) · European Stroke Journal · doi:10.1177/23969873231164728 · Cited by 8
Bai, C., Shen, Z., Qiu, B., & Zhang, S. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1272200 · Cited by 7
Woolf, B. A. R., & Burgess, S. (2025) · AJE Advances Research in Epidemiology · doi:10.1093/ajeadv/uuaf003 · Cited by 7
Self-citationWang, L., Lan, Z., He, Y., Cheng, Y., He, R., & Jiang, Z. (2025) · The Journal of Headache and Pain · doi:10.1186/s10194-025-02075-3 · Cited by 8
Chen, L., Fu, G., & Jiang, C. (2021) · Aging · doi:10.18632/aging.202906 · Cited by 7
Wang, M., Gao, J., Liu, J., Zhao, X., & Lei, Y. (2021) · Genes · doi:10.3390/genes12070959 · Cited by 7
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Ingold, N., Campos, A. I., Han, X., Ong, J., Gharahkhani, P., Mackey, D. A., Rentería, M. E., Law, M. H., & MacGregor, S. (2022) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.63.1.25 · Cited by 7
Giontella, A., Lotta, L. A., Baras, A., Minuz, P., Gill, D., Melander, O., & Fava, C. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac501 · Cited by 7
Sun, Y., Li, Y., Xie, X., Li, J., Zhang, K., & Yu, T. (2023) · PLoS ONE · doi:10.1371/journal.pone.0279198 · Cited by 8
mi, Z., Meng, N., Zhang, Y., Wang, Q., Song, S., Cheng, R., Xu, X., Gao, J., Yu, F., & Ren, X. (2023) · BMC Oral Health · doi:10.1186/s12903-023-03338-8 · Cited by 7
Wang, L., Yin, S., Li, K., Bao, E., Wang, J.-H., & Zhu, P.-Y. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1268720 · Cited by 7
Yuan, X., Chen, H., Zeng, K., Xiao, J., Liu, J., Lin, G., Zhang, J., Lu, T., Cai, J., Yao, J., et al. (2022) · Annals of Translational Medicine · doi:10.21037/atm-21-4007 · Cited by 6
Zhu, Y., Zhuang, Z., Lv, J., Sun, D., Pei, P., Yang, L., Millwood, I. Y., Walters, R. G., Chen, Y., Du, H., et al. (2024) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2023.101001 · Cited by 6
Self-citationMeisinger, C., Fischer, S., O’Mara, T. A., & Freuer, D. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05765-9 · Cited by 6
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Leng, P., Qiu, Y., Zhou, M., Zhu, Y., Yin, N., Zhou, M., Wu, W.-L., & Liu, M. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1453502 · Cited by 6
Ning, L., Gao, Z., Chen, D., Han, J., Xie, G., & Sun, J. (2025) · BMC Cancer · doi:10.1186/s12885-025-13690-3 · Cited by 6
Daghlas, I., Karhunen, V., Kim, A., & Gill, D. (2025) · Stroke · doi:10.1161/strokeaha.124.049808 · Cited by 6
Li, C., Chen, Y., Chen, Y., Ying, Z., Hu, Y., Kuang, Y., Yang, H., Song, H., & Zeng, X. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12031106 · Cited by 6
Zhang, W. D., Ge, J., Qu, Z., Wu, W., Lei, H., Pan, H., & Chen, H. (2023) · BMC Medical Genomics · doi:10.1186/s12920-023-01560-5 · Cited by 6
Liu, Y., Gu, Y., Zhou, J., Zhang, H., Shang, Q., Yang, Y., & Chen, L. (2024) · World Allergy Organization Journal · doi:10.1016/j.waojou.2023.100868 · Cited by 6
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Yin, L., Chau, C. K., Lin, Y., Rao, S., Xiang, Y., Sham, P. C., & So, H. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab417 · Cited by 6
Wootton, R. E., Dack, K., Jones, H. J., Riglin, L., Madley‐Dowd, P., Borges, M. C., Pagoni, P., Roth, C., Brantsæter, A. L., Corfield, E. C., et al. (2024) · Psychological Medicine · doi:10.1017/s0033291724001466 · Cited by 5
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Li, J., & Morrison, J. (2026) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2026.02.002 · Cited by 5
Li, X., Jiang, M., Zhao, L., Yang, K., Lu, T., Zhang, D., Li, J., & Wang, L. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05514-8 · Cited by 8
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Compton, H., Smith, M. L., Bull, C. J., Korologou‐Linden, R., Ben‐Shlomo, Y., Bell, J. A., Williams, D. M., & Anderson, E. L. (2024) · Scientific Reports · doi:10.1038/s41598-024-54569-w · Cited by 7
Daghlas, I., Rist, P. M., & Chasman, D. I. (2024) · Headache The Journal of Head and Face Pain · doi:10.1111/head.14851 · Cited by 5
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Guo, X., Li, W., Hou, C., & Li, R. (2024) · Nutrition Journal · doi:10.1186/s12937-024-01038-9 · Cited by 5
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Li, S., & Schooling, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-07344-8 · Cited by 8
Metadata
- Authors
- Burgess, S., & Labrecque, J. A.
- Affiliations
- University of Cambridge (GB)
- Erasmus MC (NL)
- Corresponding author
- Burgess, Stephen
- Venue
- European Journal of Epidemiology
- Published
- 2018-07-23
- Volume
- 33
- Issue
- 10
- Pages
- 947-952
- ISSN
- 0393-2990 (ISSN-L)
- 1573-7284
- PMC
- PMC6153517
- OpenAlex
- W2797906093
- Cited by
- 569
- References
- 28
- Citations by year
- 2026: 30 · 2025: 66 · 2024: 173 · 2023: 107 · 2022: 67 · 2021: 68 · 2020: 33 · 2019: 24 · 2018: 1
- FWCI
- 19.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Epidemiology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Apollo (cc-by)
- Funders
- Wellcome Trust (204623/Z/16/Z)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- Mendelian randomization, binary exposure, dichotomization, exclusion restriction, monotonicity, homogeneity, average causal effect, hypertension, blood pressure, causal effect estimation
- MeSH terms
- Blood Pressure, Humans, Hypertension, Models, Genetic, Random Allocation, Risk Factors, Genetic Variation, Models, Statistical, Likelihood Functions, Mendelian Randomization Analysis
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