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      Association between type 2 diabetes, alcohol intake frequency, age at menarche, and gallbladder cancer: a two-sample Mendelian randomization study

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          Abstract

          Background

          Gallbladder cancer (GBC) is a rare malignancy of the digestive tract, characterized by a remarkably poor prognosis. Currently, there is a controversy on the relationship between type 2 diabetes (T2D) and GBC. Additionally, no definitive conclusions were established regarding the causal relationships between alcohol intake frequency (AIF), age at menarche (AAM) and GBC. The objective of this study was to elucidate the causal association between T2D, AIF, AAM, and GBC.

          Methods

          Single-nucleotide polymorphisms (SNPs) associated with exposures and outcomes were sourced from the Integrative Epidemiology Unit (IEU) Open Genome-Wide Association Study (GWAS) database. Specifically, the data of GBC comprised 907 East Asians (pathological results of all cases were registered into Biobank Japan) and 425,707 SNPs; T2D comprised 655,666 Europeans with 5,030,727 SNPs; AIF comprised 462,346 Europeans and 9,851,867 SNPs; AAM comprised 243,944 Europeans and 9,851,867 SNPs. The measurement of exposure traits is collected uniformly from the UK Biobank (UKB) database and presented in the form of standard deviation (SD) or the logarithmic form of the odds ratio (logOR). We employed a two-sample Mendelian randomization (MR) analysis to discern the causalities between T2D, AIF, AAM, and GBC. Sensitivity analyses were conducted to identify and address potential heterogeneity, horizontal pleiotropy, and outliers.

          Results

          Our findings indicated that T2D reduced GBC risk [odds ratio (OR) =0.044; 95% confidence interval (CI): 0.004–0.55; P=0.015, inverse variance-weighted (IVW)]. However, no causal relationship was observed between AIF (OR =0.158; 95% CI: 5.33E−05 to 466.84; P=0.65, IVW), AAM (OR =0.19; 95% CI: 0.0003–140.34; P=0.62, IVW), and GBC. Sensitivity analysis revealed no evidence of horizontal pleiotropy, heterogeneity, or outliers, suggesting the robustness and reliability of our conclusions.

          Conclusions

          T2D emerged as a potentially protective factor against GBC, whereas neither AIF nor AAM demonstrated a causal relationship with GBC risk. Regulation of glucose metabolism may be one of the methods for preventing GBC.

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          Most cited references48

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            Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

            Background: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal effects. However, some genetic variants may not be valid instrumental variables, in particular due to them having more than one proximal phenotypic correlate (pleiotropy). Methods: We view Mendelian randomization with multiple instruments as a meta-analysis, and show that bias caused by pleiotropy can be regarded as analogous to small study bias. Causal estimates using each instrument can be displayed visually by a funnel plot to assess potential asymmetry. Egger regression, a tool to detect small study bias in meta-analysis, can be adapted to test for bias from pleiotropy, and the slope coefficient from Egger regression provides an estimate of the causal effect. Under the assumption that the association of each genetic variant with the exposure is independent of the pleiotropic effect of the variant (not via the exposure), Egger’s test gives a valid test of the null causal hypothesis and a consistent causal effect estimate even when all the genetic variants are invalid instrumental variables. Results: We illustrate the use of this approach by re-analysing two published Mendelian randomization studies of the causal effect of height on lung function, and the causal effect of blood pressure on coronary artery disease risk. The conservative nature of this approach is illustrated with these examples. Conclusions: An adaption of Egger regression (which we call MR-Egger) can detect some violations of the standard instrumental variable assumptions, and provide an effect estimate which is not subject to these violations. The approach provides a sensitivity analysis for the robustness of the findings from a Mendelian randomization investigation.
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              Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator

              ABSTRACT Developments in genome‐wide association studies and the increasing availability of summary genetic association data have made application of Mendelian randomization relatively straightforward. However, obtaining reliable results from a Mendelian randomization investigation remains problematic, as the conventional inverse‐variance weighted method only gives consistent estimates if all of the genetic variants in the analysis are valid instrumental variables. We present a novel weighted median estimator for combining data on multiple genetic variants into a single causal estimate. This estimator is consistent even when up to 50% of the information comes from invalid instrumental variables. In a simulation analysis, it is shown to have better finite‐sample Type 1 error rates than the inverse‐variance weighted method, and is complementary to the recently proposed MR‐Egger (Mendelian randomization‐Egger) regression method. In analyses of the causal effects of low‐density lipoprotein cholesterol and high‐density lipoprotein cholesterol on coronary artery disease risk, the inverse‐variance weighted method suggests a causal effect of both lipid fractions, whereas the weighted median and MR‐Egger regression methods suggest a null effect of high‐density lipoprotein cholesterol that corresponds with the experimental evidence. Both median‐based and MR‐Egger regression methods should be considered as sensitivity analyses for Mendelian randomization investigations with multiple genetic variants.
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                Author and article information

                Journal
                J Gastrointest Oncol
                J Gastrointest Oncol
                JGO
                Journal of Gastrointestinal Oncology
                AME Publishing Company
                2078-6891
                2219-679X
                27 June 2024
                30 June 2024
                : 15
                : 3
                : 1214-1223
                Affiliations
                [1 ]deptNursing Department, Sir Run Run Shaw Hospital , Zhejiang University School of Medicine , Hangzhou, China;
                [2 ]deptThe 2nd School of Medicine , Wenzhou Medical University , Wenzhou, China;
                [3 ]Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, and deptNational Engineering Research Center of Innovation and Application of Minimally Invasive Devices , Hangzhou, China;
                [4 ]Zhejiang University , Hangzhou, China;
                [5 ]deptZhejiang University School of Medicine , Zhejiang University , Hangzhou, China;
                [6 ]deptDepartment of Computer and Information Security , Zhejiang Police College , Hangzhou, China;
                [7 ]deptThe Second Clinical Medical College , Zhejiang Chinese Medical University , Hangzhou, China;
                [8 ]deptDepartment of General Surgery, the Second Affiliated Hospital , Zhejiang University , Hangzhou, China;
                [9 ]Department of Biomedical Engineering and Health Sciences, University Teknologi Malaysia, Skudai , Johor, Malaysia
                Author notes

                Contributions: (I) Conception and design: M Cheng, X Zhou, Y Xue, E Zhou; (II) Administrative support: J Hu, J Xu; (III) Provision of study materials or patients: B Zhang, J Shen; (IV) Collection and assembly of data: J Zhang, Z Chen, B Wu, S Peng, TW Wong; (V) Data analysis and interpretation: J Cao, M Chen; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                [#]

                These authors contributed equally to this work.

                Correspondence to: Jiasheng Cao, MD, PhD; Mingyu Chen, MD, PhD. Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, and National Engineering Research Center of Innovation and Application of Minimally Invasive Devices, No. 3 East Qingchun Road, Hangzhou 310016, China; Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China. Email: blackcao@ 123456zju.edu.cn ; mychen@ 123456zju.edu.cn .
                Article
                jgo-15-03-1214
                10.21037/jgo-24-358
                11231859
                59900231-69f2-4c67-9aea-c9349c43b0e3
                2024 Journal of Gastrointestinal Oncology. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 11 May 2024
                : 20 June 2024
                Funding
                Funded by: the Fundamental Research Funds for the Central Universities
                Award ID: No. 226-2022-00141
                Funded by: the Natural Science Foundation of Zhejiang Province
                Award ID: Nos. LQ23H160036 and LQ22H160003
                Funded by: the National Natural Science Foundation of China
                Award ID: No. 82202873
                Categories
                Original Article

                type 2 diabetes (t2d),alcohol intake frequency (aif),age at menarche (aam),gallbladder cancer (gbc)

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