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      Genetic evidence that higher central adiposity causes gastro-oesophageal reflux disease: a Mendelian randomization study

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          Abstract

          Background

          Gastro-oesophageal reflux disease (GORD) is associated with multiple risk factors but determining causality is difficult. We used a genetic approach [Mendelian randomization (MR)] to identify potential causal modifiable risk factors for GORD.

          Methods

          We used data from 451 097 European participants in the UK Biobank and defined GORD using hospital-defined ICD10 and OPCS4 codes and self-report data ( N = 41 024 GORD cases). We tested observational and MR-based associations between GORD and four adiposity measures [body mass index (BMI), waist–hip ratio (WHR), a metabolically favourable higher body-fat percentage and waist circumference], smoking status, smoking frequency and caffeine consumption.

          Results

          Observationally, all adiposity measures were associated with higher odds of GORD. Ever and current smoking were associated with higher odds of GORD. Coffee consumption was associated with lower odds of GORD but, among coffee drinkers, more caffeinated-coffee consumption was associated with higher odds of GORD. Using MR, we provide strong evidence that higher WHR and higher WHR adjusted for BMI lead to GORD. There was weak evidence that higher BMI, body-fat percentage, coffee drinking or smoking caused GORD, but only the observational effects for BMI and body-fat percentage could be excluded. This MR estimated effect for WHR equates to a 1.23-fold higher odds of GORD per 5-cm increase in waist circumference.

          Conclusions

          These results provide strong evidence that a higher waist–hip ratio leads to GORD. Our study suggests that central fat distribution is crucial in causing GORD rather than overall weight.

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          Most cited references38

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          UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

          Cathie Sudlow and colleagues describe the UK Biobank, a large population-based prospective study, established to allow investigation of the genetic and non-genetic determinants of the diseases of middle and old age.
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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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              The UK Biobank resource with deep phenotyping and genomic data

              The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
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                Author and article information

                Journal
                Int J Epidemiol
                Int J Epidemiol
                ije
                International Journal of Epidemiology
                Oxford University Press
                0300-5771
                1464-3685
                August 2020
                26 June 2020
                26 June 2020
                : 49
                : 4
                : 1270-1281
                Affiliations
                [1 ] Genetics of Complex Traits, University of Exeter Medical School , Exeter, UK
                [2 ] IBD Pharmacogenetics, Royal Devon and Exeter NHS Foundation Trust , Exeter, UK
                Author notes
                Corresponding author. Genetics of Complex Traits, University of Exeter Medical School, Exeter, UK. E-mail: j.tyrrell@ 123456exeter.ac.uk
                Author information
                http://orcid.org/0000-0002-9256-6065
                Article
                dyaa082
                10.1093/ije/dyaa082
                7750946
                32588049
                cb7b9e8a-c519-4861-acfc-f2c61c0c9190
                © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 May 2020
                Page count
                Pages: 11
                Funding
                Funded by: Medical Research Council, DOI 10.13039/501100000265;
                Award ID: MR/M005070/1
                Funded by: European Research Council, DOI 10.13039/100010663;
                Award ID: SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC
                Award ID: 323195
                Funded by: Diabetes UK RD Lawrence;
                Award ID: 17/0005594
                Funded by: Wellcome Trust, DOI 10.13039/100010269;
                Award ID: 104150/Z/14/Z
                Funded by: Academy of Medical Sciences, DOI 10.13039/501100000691;
                Funded by: Wellcome Trust, DOI 10.13039/100010269;
                Funded by: British Heart Foundation and Diabetes UK;
                Award ID: SBF004\1079
                Categories
                Mendelian Randomization
                AcademicSubjects/MED00860

                Public health
                gord,uk biobank,mendelian randomization,adiposity,epidemiology,gastroenterology
                Public health
                gord, uk biobank, mendelian randomization, adiposity, epidemiology, gastroenterology

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