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      Association between inflammatory bowel disease and frailty: a two-sample Mendelian randomization study

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          Abstract

          Background

          An association has been identified between inflammatory bowel disease (IBD) and frailty; however, the causal nature of this connection remains uncertain. We consequently conducted a two-sample Mendelian randomization (MR) analysis to explore this particular association.

          Methods

          We acquired distinct datasets for inflammatory bowel disease (IBD), Crohn's disease (CD), ulcerative colitis (UC), and frailty from the published genome-wide association studies (GWAS) database, meticulously selecting instrumental variables (IVs). Subsequently, we employed a bidirection MR to examine the causal relationship between IBD (including CD and UC) and frailty. We utilized statistical methods, with a primary emphasis on inverse-variance weighted (IVW), accompanied by a series of sensitivity analyses to confirm heterogeneity and pleiotropy influenced the outcomes of the MR.

          Results

          We found positive causal effects of genetically increased frailty risk on IBD (OR: 1.015, 95% CI 1.005–1.025, P = 0.004). Furthermore, when scrutinizing specific IBD subtypes, both Crohn's disease (CD) and ulcerative colitis (UC) demonstrated an increased predisposition to frailty (OR: 1.018, 95% CI 1.01–1.027, P < 0.05) and (OR = 1.016, 95% CI 1.005–1.027, P < 0.05). Nevertheless, despite the consistent trends observed in the weighted median and MR-Egger regression analyses for both conditions, statistical significance remained elusive. Notably, the results of the inverse MR analysis did not establish an association between frailty and an elevated risk of IBD development.

          Conclusions

          Our research indicates that IBD, encompassing both CD and UC, may augment the propensity for frailty. Clinical practitioners must prioritize early frailty assessment in individuals afflicted with inflammatory bowel disease, inclusive of Crohn's disease and ulcerative colitis, facilitating proactive measures and timely interventions. However, our findings do not provide evidence supporting a causal effect of frailty on IBD (including CD and UC). Consequently, further studies are essential to explore the intricate mechanisms that clarify the effect of frailty on IBD.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s40520-023-02688-1.

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          Most cited references37

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          Frailty in Older Adults: Evidence for a Phenotype

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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

                Contributors
                20211051@njucm.edu.cn
                Journal
                Aging Clin Exp Res
                Aging Clin Exp Res
                Aging Clinical and Experimental Research
                Springer International Publishing (Cham )
                1594-0667
                1720-8319
                6 February 2024
                6 February 2024
                2024
                : 36
                : 1
                : 21
                Affiliations
                [1 ]School of Nursing, Nanjing University of Chinese Medicine, ( https://ror.org/04523zj19) Nanjing, Jiangsu China
                [2 ]GRID grid.477246.4, ISNI 0000 0004 1803 0558, Hospital for Skin Diseases, Institute of Dermatology Chinese Academy of Medical Sciences, , Peking Union Medical College, ; Nanjing, China
                [3 ]Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, ( https://ror.org/04523zj19) Nanjing, 210022 China
                Article
                2688
                10.1007/s40520-023-02688-1
                10847216
                38319411
                0d46d091-f431-4402-8218-ddf0866eba55
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 September 2023
                : 27 December 2023
                Funding
                Funded by: Postgraduate Research & Practice Innovation Program of Jiangsu Province
                Award ID: SJCX23_0836
                Award Recipient :
                Funded by: Nanjing Health Science and Technology Development Special Funds Program
                Award ID: YKK19100
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer Nature Switzerland AG 2024

                genome-wide association studies,inflammatory bowel disease,causal relationship,frailty,mendelian randomization

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