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Evaluating the potential role of pleiotropy in Mendelian randomization studies
Open accessAbstract
Pleiotropy, the phenomenon of a single genetic variant influencing multiple traits, is likely widespread in the human genome. If pleiotropy arises because the single nucleotide polymorphism (SNP) influences one trait, which in turn influences another ('vertical pleiotropy'), then Mendelian randomization (MR) can be used to estimate the causal influence between the traits. Of prime focus among the many limitations to MR is the unprovable assumption that apparent pleiotropic associations are mediated by the exposure (i.e. reflect vertical pleiotropy), and do not arise due to SNPs influencing the two traits through independent pathways ('horizontal pleiotropy'). The burgeoning treasure trove of genetic associations yielded through genome wide association studies makes for a tantalizing prospect of phenome-wide causal inference. Recent years have seen substantial attention devoted to the problem of horizontal pleiotropy, and in this review we outline how newly developed methods can be used together to improve the reliability of MR.
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“This pattern is consistent with a directional influence of disease liability on longevity27,64 and is also compatible with vertical pleiotropy65.”
From Genetic trade-offs in fertility and longevity explain the maintenance of disease-associated alleles in humans (2026) · cites this paper as [65]
In the citing paper
“However, confounding of the genetic variants with the outcome in a sample can be induced by population stratification, dynastic effects and assortative mating,60 violating the second IV condition.”
From Mendelian randomization (2022) · cites this paper as [60]
In the citing paper
“If there are many correlated candidate variants in a gene region, then including all variants in a single analysis will typically result in numerical instability, as the analysis can be highly sensitive to small changes in the variant correlation matrix 62 .”
From Guidelines for performing Mendelian randomization investigations (2020) · cites this paper as [62]
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Cites
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“While vertical pleiotropy is de fi ned that a genetic factor directly in fl uences the fi rst phenotype, and indirectly in fl uences the second phenotype through the fi rst phenotype (the mediator) [3].”
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“An assessment of the heterogeneity between SNPs was carried out using Cochran’s Q statistics [27].”
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“We cannot completely rule out violations of the independence assumption because we do not know the biological role of the genetic tools, and exclusionary restrictions, especially with respect to pleiotropy (84).”
Genetic Variation in Targets of Antidiabetic Drugs and Amyotrophic Lateral Sclerosis Risk
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“The Wald ratio method was used when there was only one SNP [30].”
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“The IVW method does not tolerate heterogeneity in the genetic variants, risking biased estimates despite the use of a random effects model [23].”
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“25”
Jiesisibieke, Z. L., Cronjé, H. T., Schooling, C. M., & Burgess, S. (2025) · European Journal of Epidemiology · doi:10.1007/s10654-025-01246-5 · Cited by 4
“Note: Estimates represent per allele associations of variants with each ketone body in standard deviation units pathways to the outcome (i.e. horizontal pleiotropy) [41].”
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“Sensitivity analysis After the preliminary screening, we evaluated the heterogeneity of the Cochran’s Q test of IVW and MR-Egger methods for the significant results, and when p 0.05, significant heterogeneity was considered to be present [26].”
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“But with all the traits in our matrix, the prevailing direction of effect could be the opposite and/or some level of bi-directional causation may exist [16, 21 – 23].”
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“Furthermore, we removed horizontal pleiotropic outliers using the MR-PRESSO method and evaluated the presence of horizontal pleiotropy using the MR-Egger intercept test (33), Cochran Q test (34), and leave-one-out analyses (35).”
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“We also utilized the RAPS method to address issues concerning the bias of weak IVs and to improve the robustness of causal estimates.”
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“All MR analyses carry the risk of pleiotropy, whereby a genetic variant is involved in pathways that influence both the exposure and the outcome 12 .”
BackgroundWei, H., Tian, G., Xu, S., Du, Y., Li, M., Wang, Y., Deng, J., & Quan, C. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1326434 · Cited by 3
Genetically determined type 1 diabetes mellitus and risk of osteoporosis
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“Violations of the second and third assumptions occur if horizontal pleiotropy exists (a genetic variant affects the outcome variable through pathways other than or in addition to the exposure variable (Hemani et al., 2018)).”
BackgroundHan, C., Wu, D., Yu, F., Wang, Q., Yang, Y., Li, Y., Qin, R., Chen, Y., Xu, L., & He, D. (2024) · BMC Medical Genomics · doi:10.1186/s12920-024-01845-3 · Cited by 3
“…to investigate the causality of PD with AS. MR studies use genetic variation as an IV, and a valid IV must satisfy the following three assumptions [17]: (1) it must be strongly associated with exposure (“relevance”); (2) it must be independent of confounding factors for observational associations…”
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“Moreover, Cochran ’ s Q test was performed to test heterogeneity within IVs, and genetic pleiotropy was also diagnosed in this study [25].”
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“Conversely, the random-effects model was employed if substantial heterogeneity was present ( p 0.05) (24).”
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“Directional horizontal pleiotropy may confound causal inference, although MR-Egger regression tests indicate minimal bias (14, 31, 32).”
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“Detailed information on each data-set is provided in Table S1 [26].”
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“The main method, inverse variance weighted (IVW) 13 random-effects models, was used to estimate causal effects when traits were instrumented by 2 or more SNPs. 14 To reduce the risk of false-positive fi ndings, a method based on constrained maximum likelihood and model averaging 15 was also conducted.”
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“To examine the influence of individual single-nucleotide polymorphisms (SNPs), a leave-one-out analysis was conducted, in which one SNP was removed at a time [31].”
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“To assess the robustness of significant association identified by IVW, We further conducted sensitivity analyses, including Egger intercept test and MR-PRESSO global test to evaluate horizontal pleiotropy, and LOO analyses to examine the presence of dominant IVs 33,34 .”
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“Meanwhile, the MR-Egger intercept was employed to ascertain whether the findings were influenced by pleiotropy (Hemani et al. 2018).”
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“The replication samples are available on request from the Social Science Genetic Association Consortium (https://www.thessgac.org/).”
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“A statistically significant intercept ( p < 0.05) suggests that SNPs influence outcomes through non-exposure pathways, violating MR’s core assumptions (Hemani et al. 2018).”
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“A number of methods have been developed to accommodate violations of the exclusion restriction due to pleiotropy that is suggested by (but not necessarily unambiguously identified by) high heterogeneity as indicated by Cochran’s Q (62, 63).”
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“We additionally applied MR-Egger regression (45,46) to estimate the intercept 155 (corresponding to a test of directional pleiotropy) in addition to the slope in the regression.”
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Dong, S., Yu, K., Tang, S.-H., Guo, J., Guo, Y., & Yang, T. (2022) · medRxiv · doi:10.1101/2022.12.16.22283558 · Cited by 3
“estimate the directional pleiotropic effect [40] (P < 0.”
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Spychala, K. M., Friedman, N. P., & Gizer, I. R. (2024) · medRxiv · doi:10.1101/2024.06.10.24308620 · Cited by 3
“While this heterogeneity could suggest a violation of the horizontal pleiotropy assumption of MR among one or all instrumental SNPs, heterogeneity can also occur for other reasons, including the heterogeneity tests being biased towards false positives (Hemani, Bowden, et al., 2018).”
BackgroundPage, S., Gibson, M., Munafo, M. R., Khouja, J. N., & Richmond, R. C. (2024) · medRxiv · doi:10.1101/2024.08.01.24311349 · Cited by 3
“A non-zero intercept term in MR-Egger regression term is interpreted as the directional pleiotropic effect (Hemani et al., 2018).”
BackgroundBridging sleep with psychiatric disorders through genetics
Zimmerman, A. J., & Grant, S. F. A. (2024) · SLEEP · doi:10.1093/sleep/zsae235 · Cited by 3
Genetic association between smoking and DLCO in idiopathic pulmonary fibrosis patients
Yuan, Z., Lei, W., Xing, X., He, X., Huang, X., Wei, L., Lv, Y., Qiu, S., Yuan, Z., Wang, J., et al. (2024) · BMC Pulmonary Medicine · doi:10.1186/s12890-024-02974-2 · Cited by 2
“To identify potential pleiotropy and assess the robustness of our results, we conducted several analyses, including Cochran’s Q statistic [25] and MR‒Egger intercept tests [21].”
MethodKresge, H. A., Blostein, F., Goleva, S. B., Albiñana, C., Revez, J. A., Wray, N. R., Vilhjálmsson, B. J., Zhu, Z., McGrath, J. J., & Davis, L. K. (2024) · Twin Research and Human Genetics · doi:10.1017/thg.2024.19 · Cited by 2
“Of particular interest, our findings lend weight to the hypothesis that variants associated with 25OHD are horizontally (or biologically) pleiotropic (Hemani et al., 2018), and influence 25OHD concentration among other biological functions, such as lipid pathways.”
BackgroundHypothyroidism and dermato/polymyositis: a two-sample Mendelian randomization study
Li, Q., Yang, S., Ma, Y., Huang, H., Zhi, L., Wang, S., & Lu, L. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1361581 · Cited by 2
“…MR groups SNPs into clusters and calculates an estimate based on the cluster with the most SNPs. MR-Egger, weighted median, and weighted mode are alternative MR methods that are more robust to directional pleiotropy and were used to calculate estimates for comparison with the IVW estimates (21).”
MethodLiu, X., Han, Y., Yan, G., & Sun, M. (2024) · European Journal of Nutrition · doi:10.1007/s00394-024-03491-y · Cited by 3
“Moreover, the leave-one-out analysis was used to investigate whether the causal relationship between dietary factors, blood lipids and GERD was influenced by a sin - gle SNP [ 69 ].”
Zeng, Y., Mo, G., Wang, X., Yang, Y., Dong, Y., Zhong, R., & Tian, N. (2024) · Scientific Reports · doi:10.1038/s41598-024-73337-4 · Cited by 2
“In the absence of horizontal pleiotropy or in the presence of equilibrium, IVW (fixed effects) methods provide unbiased estimates 15 .”
Yang, Q., Magnus, M. C., Kilpi, F., Santorelli, G., Soares, A. G., West, J., Magnus, P. M., Håberg, S. E., Tilling, K. M., Lawlor, D. A., et al. (2024) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-024-07023-8 · Cited by 3
Wu, G., Wang, J., Zhu, W., Liu, H., Ding, W., Liu, Y., Wang, Z., & Tao, L. (2024) · Medicine · doi:10.1097/md.0000000000041124 · Cited by 2
Liu, S., Wan, J., Yang, Y., Wang, D., Hou, J., & Wang, P. (2025) · Medicine · doi:10.1097/md.0000000000041951 · Cited by 2
“[24] 28] Among these methodologies, IVW was designated as the principal approach for evaluating effect estimates, taking heterogeneity into account.”
Xie, A., Zhao, H., Song, C., Wang, R., Wu, L., Chen, R., Jiang, G., Liu, W. L., Liu, J., & Mao, W. (2025) · BMC Pulmonary Medicine · doi:10.1186/s12890-025-03641-w · Cited by 2
“Furthermore, heterogeneity has been estimated utilizing Cochrane’s Q test, which represents no heterogeneity present when P > 0.05 [27].”
InfluentialChen, C., Lan, Y., Yan, W., Zhang, X., Li, T., & Han, J. Y. (2025) · Translational Vision Science & Technology · doi:10.1167/tvst.14.5.8 · Cited by 2
“32,44 The HEIDI test was employed to identify linkage disequilibrium between circulating proteins and AMD in SMR. 45 The MR-Egger intercept test and the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) global test were further performed to find potential pleiotropy in…”
Ma, K., Wang, H., Du, Y., Chen, T., Yang, D., Li, Y., & Li, D. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70293 · Cited by 2
“We used MR-Egger intercept and pleiotropic residuals and outliers (MR-PRESSO) to assess horizontal pleiotropy, and the p - value less than 0.05 indicated the presence of horizontal pleiotropy (Hemani et al. 2018).”
InfluentialMa, L., Ding, L., Xing, Z., Ren, H., Wei, J., Song, H., Qiu, B., Chen, Z., & Wang, Y. (2025) · Archives of Medical Science · doi:10.5114/aoms/204370 · Cited by 2
“If the Egger-intercept was close to 0 or there was no statistical significance, it indicated that there was no genetic plei-otropy [14].”
Wu, L., Zhang, H., Li, Y., Tang, J., wang, D., & Zhu, L. (2025) · Experimental Gerontology · doi:10.1016/j.exger.2025.112842 · Cited by 2
“We applied the MR-PRESSO method to detect and exclude outliers, as their presence indicates horizontal pleiotropy (Hemani et al., 2018).”
ZDHHC5 Mediates Immune Dysregulation Driving Generalized Anxiety Disorder Risk
Fuqiang, S., Lu, G., Li, N., Dai, K., Ren, Z., Ma, R., Feng, Y., Zong, S., & Cheng, B. (2025) · Brain and Behavior · doi:10.1002/brb3.70818 · Cited by 3
“A non-significant intercept ( p > 0.05) was interpreted as evidence for the absenceofsubstantialhorizontalpleiotropyintheMRframework (Hemani et al. 2018, Zou et al. 2021).”
InfluentialChen, Y., Zhou, Z., Che, H., & Ding, L. (2025) · Frontiers in Physiology · doi:10.3389/fphys.2025.1642153 · Cited by 3
From Gene to Scar: Proteome-Wide Causal Insights into Keloid Pathogenesis and Prevention
Xu, Y., Liu, J.-C., Jiang, Z., Zhang, J., He, R., Wan, M., & Zhao, S. (2025) · Advances in Wound Care · doi:10.1177/21621918251387987 · Cited by 2
“27 After the analysis was completed, the leave-one-out test was used to further evaluate the robustness of the results.”
Follistatin levels and endocrine disorders: A two-sample Mendelian randomization study
Zhang, W. D., Wu, T., Zhao, X., Ma, Y., & Han, X. (2025) · Medicine · doi:10.1097/md.0000000000045566 · Cited by 2
“Open datasets of genetic variants and disease information simplify implementation and avoid ethical constraints, making MR studies more viable than RCTs. [16,17] Given the unique advantages of MR, we conducted a 2-sample MR analysis using GWAS summary data from the UK Biobank and Finnish databases.”
Hu, L., Wang, D., You, C., Zhao, Z., Zheng, W., Wang, L., Li, Y., Dai, L., & Yu, H. (2025) · Life Conflux · doi:10.71321/8s70we60 · Cited by 2
“For the MR-Egger regression intercept, a P > 0.05 suggested that horizontal pleiotropy could be ignored [26].”
InfluentialLou, C., Wang, G., Xiong, Z., Jiang, Y. C., Li, Y., Zhu, M. Q., Yang, H., Wang, L., He, L., Chang, H., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102481 · Cited by 2
Understanding Mendelian Randomization
Bentz, G. P., & Lambrechts, M. J. (2025) · Clinical Spine Surgery A Spine Publication · doi:10.1097/bsd.0000000000002014 · Cited by 2
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“We observed that rs474513 affects the expression of SLC22A3 and LPA in the opposite directions, demonstrating how a single variant can disparately regulate multiple genes 55 .”
Lou, Y., Ma, D., Gan, Q., 許先越, Xiao, Y., Wang, J., Li, Z., Zhang, T., Qi, L., & Feng, S. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1855966 · Cited by 2
“Furthermore, the qPCR results were not entirely consistent with MR fi ndings, likely due to differences between long-term genetic effects and tissue-speci fi c expression under pathological conditions (31).”
The Effects of Fatty Acids on Primary Liver Cancer: A Two-Sample Mendelian Randomization Study
Liu, Y., He, J., Cai, L., & Leng, A. (2023) · Nutrition and Cancer · doi:10.1080/01635581.2023.2216914 · Cited by 2
“the fixed-effects method was used (40).”
Wang, Y., Dong, L., Zhao, M., Yin, S., Da, P., Xu, D., Lü, Y., Xia, J., Wang, N., Wang, S., et al. (2023) · Food Science and Human Wellness · doi:10.26599/fshw.2022.9250156 · Cited by 2
Causal Association Between Tea Consumption and Gout: A Mendelian Randomization Study
Wang, Q., Liu, Y., Zhang, H., Zhang, Z., Huang, X.-Y., & Xiao, W. (2023) · Current Medical Science · doi:10.1007/s11596-023-2778-6 · Cited by 2
“Alternatively, we used a random-effects model [40] .”
Method
Metadata
- Authors
- Hemani, G., Bowden, J., & Davey Smith, G.
- Affiliations
- University of Bristol (GB)
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol
- Corresponding author
- Hemani, Gibran
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-05-16
- Volume
- 27
- Issue
- R2
- Pages
- R195-R208
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- PMC
- PMC6061876
- OpenAlex
- W2810852503
- Cited by
- 1,496
- References
- 113
- Citations by year
- 2026: 129 · 2025: 266 · 2024: 422 · 2023: 209 · 2022: 169 · 2021: 131 · 2020: 101 · 2019: 62 · 2018: 7
- FWCI
- 10.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Human Molecular Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Bristol Research (University of Bristol) (submittedVersion, cc-by)
- Funders
- Wellcome Trust (208806/Z/17/Z)
- Medical Research Council (MC_UU_12013/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Keywords
- pleiotropy, Mendelian randomization, horizontal pleiotropy, single nucleotide polymorphisms, causal inference, phenome-wide association study, genetic variants
- MeSH terms
- Animals, Humans, Phenotype, Genetic Variation, Reproducibility of Results, Genome, Human, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Mendelian Randomization Analysis, Genetic Pleiotropy
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