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      Advancing a causal role of type 2 diabetes and its components in developing macro‐ and microvascular complications via genetic studies

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          Abstract

          The role of diabetes in developing microvascular and macrovascular complications has been subject to extensive research. Despite multiple observational and genetic studies, the causal inference of diabetes (and associated risk factors) on those complications remains incomplete. In this review, we focused on type 2 diabetes, as the major form of diabetes, and investigated the evidence of causality provided by observational and genetic studies. We found that genetic studies based on Mendelian randomization provided consistent evidence of causal inference of type 2 diabetes on macrovascular complications; however, the evidence for causal inference on microvascular complications has been somewhat limited. We also noted high BMI could be causal for several diabetes complications, notable given high BMI is commonly upstream of type 2 diabetes and the recent calls to target weight loss more aggressively. We emphasize the need for further studies to identify type 2 diabetes components that mostly drive the risk of those complications. Even so, the genetic evidence summarized broadly concurs with the need for a multifactorial risk reduction approach in type 2 diabetes, including addressing excess adiposity.

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          Most cited references55

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          Health Effects of Overweight and Obesity in 195 Countries over 25 Years.

          Background While the rising pandemic of obesity has received significant attention in many countries, the effect of this attention on trends and the disease burden of obesity remains uncertain. Methods We analyzed data from 67.8 million individuals to assess the trends in obesity and overweight prevalence among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body mass index (BMI), by age, sex, cause, and BMI level in 195 countries between 1990 and 2015. Results In 2015, obesity affected 107.7 million (98.7-118.4) children and 603.7 million (588.2- 619.8) adults worldwide. Obesity prevalence has doubled since 1980 in more than 70 countries and continuously increased in most other countries. Although the prevalence of obesity among children has been lower than adults, the rate of increase in childhood obesity in many countries was greater than the rate of increase in adult obesity. High BMI accounted for 4.0 million (2.7- 5.3) deaths globally, nearly 40% of which occurred among non-obese. More than two-thirds of deaths related to high BMI were due to cardiovascular disease. The disease burden of high BMI has increased since 1990; however, the rate of this increase has been attenuated due to decreases in underlying cardiovascular disease death rates. Conclusions The rapid increase in prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence-based interventions to address this problem.
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            Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians

            Mendelian randomisation uses genetic variation as a natural experiment to investigate the causal relations between potentially modifiable risk factors and health outcomes in observational data. As with all epidemiological approaches, findings from Mendelian randomisation studies depend on specific assumptions. We provide explanations of the information typically reported in Mendelian randomisation studies that can be used to assess the plausibility of these assumptions and guidance on how to interpret findings from Mendelian randomisation studies in the context of other sources of evidence
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              Mendelian randomization: genetic anchors for causal inference in epidemiological studies

              Observational epidemiological studies are prone to confounding, reverse causation and various biases and have generated findings that have proved to be unreliable indicators of the causal effects of modifiable exposures on disease outcomes. Mendelian randomization (MR) is a method that utilizes genetic variants that are robustly associated with such modifiable exposures to generate more reliable evidence regarding which interventions should produce health benefits. The approach is being widely applied, and various ways to strengthen inference given the known potential limitations of MR are now available. Developments of MR, including two-sample MR, bidirectional MR, network MR, two-step MR, factorial MR and multiphenotype MR, are outlined in this review. The integration of genetic information into population-based epidemiological studies presents translational opportunities, which capitalize on the investment in genomic discovery research.
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                Author and article information

                Contributors
                hanieh.yaghootkar@brunel.ac.uk
                Journal
                Diabet Med
                Diabet Med
                10.1111/(ISSN)1464-5491
                DME
                Diabetic Medicine
                John Wiley and Sons Inc. (Hoboken )
                0742-3071
                1464-5491
                31 October 2022
                December 2022
                : 39
                : 12 , Basic Science Special Issue 2022 ( doiID: 10.1111/dme.v39.12 )
                : e14982
                Affiliations
                [ 1 ] Department of Life Sciences, Centre for Inflammation Research and Translational Medicine Brunel University London London UK
                [ 2 ] School of Cardiovascular and Metabolic Health University of Glasgow Glasgow UK
                Author notes
                [*] [* ] Correspondence

                Hanieh Yaghootkar, Department of Life Sciences, Centre for Inflammation Research and Translational Medicine, Brunel University London, London, UK

                Email: hanieh.yaghootkar@ 123456brunel.ac.uk

                Author information
                https://orcid.org/0000-0002-1604-2593
                https://orcid.org/0000-0001-9672-9477
                Article
                DME14982 DME-2022-00529.R1
                10.1111/dme.14982
                9827870
                36256488
                81c8c97b-7430-4f88-b08c-3e767f72da01
                © 2022 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 October 2022
                : 17 August 2022
                : 16 October 2022
                Page count
                Figures: 4, Tables: 1, Pages: 15, Words: 5974
                Categories
                Invited Review: Basic Science Special Issue
                INVITED REVIEW: BASIC SCIENCE SPECIAL ISSUE
                Special Issue: Basic Science Special Issue 2022
                Guest Editors: Shanta Persaud, Claire Hills
                Custom metadata
                2.0
                December 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:09.01.2023

                Endocrinology & Diabetes
                genetics of type 2 diabetes,macrovascular disease,mendelian randomization,microvascular disease

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