Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data
ABSTRACT Objectives We used data from UK-Biobank that were linked with Hospital Episode Statistics and Office for National Statistics to assess the relationship between low-density lipoprotein cholesterol (LDL-C) and atrial fibrillation (AF). In this study, we applied Mendelian randomization in ord...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2017-04-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/322 |
| _version_ | 1797430627052552192 |
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| author | Michail Katsoulis Spiros Denaxas Riyaz Patel Harry Hemingway |
| author_facet | Michail Katsoulis Spiros Denaxas Riyaz Patel Harry Hemingway |
| author_sort | Michail Katsoulis |
| collection | DOAJ |
| description | ABSTRACT
Objectives
We used data from UK-Biobank that were linked with Hospital Episode Statistics and Office for National Statistics to assess the relationship between low-density lipoprotein cholesterol (LDL-C) and atrial fibrillation (AF). In this study, we applied Mendelian randomization in order to find out whether there is a causal effect of LDL-C to AF.
Approach
We used data from the UK Biobank (~500,000 subjects) which is linked with electronic health records. At baseline (2006-2010), participants from across the UK took part in this project. They have undergone measures, provided blood, urine and saliva samples for future analysis, detailed information about themselves and agreed to have their health followed. Information in relation to the development of atrial fibrillation was derived from a) the enrollment of the participants (self-reported events), b) their hospitalization before and after their recruitment to UK-Biobank (confirmed events from Hospital Episode Statistics) and c) the death certificates [confirmed events from Office for National Statistics]. We also used genetic data from the analyses of the participants’ blood sample that have been stored. We used Mendelian randomization to capture the effect of LDL-C to AF. As instruments, we used a genetic predisposition risk score (GPRs) for LDL-C, which was created as a weighted sum of the 18 most significant SNPs related to LDL-C, as there were documented in Global Lipid Consortium, in 18 out of 22 chromosomes. We ran a logistic regression model, using AF as outcome and GPRs as exposure.
Results
Our final sample consisted of 144,092 individuals, for which we have valid information for their genetic data. The AF cases in this sample were 3207, most of which were identified from Hospital Episode Statistics (hospitalization of the participants). From the Mendelian randomization study, from our preliminary results, we found a weak positive relationship between GPRs and AF, when we did not adjust for any covariate [OR per one unit increase of GPRs=1.08, 95% CI= (0.95-1.22)] and results remained practically the same when we adjusted for age and sex [OR=1.09, 95% CI= (0.96-1.24 )].
Conclusion
We observed a weak positive association between LDL-C and AF in this study. This is the first Mendelian randomization approach that focuses on this relationship. More Mendelian randomization studies should be performed in order to identify the causal effect of LDL-C to AF. The use of electronic health records will facilitate the conduction of similar studies. |
| first_indexed | 2024-03-09T09:30:18Z |
| format | Article |
| id | doaj.art-b24960aeed9b43908e8be551f5c31087 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T09:30:18Z |
| publishDate | 2017-04-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-b24960aeed9b43908e8be551f5c310872023-12-02T04:03:47ZengSwansea UniversityInternational Journal of Population Data Science2399-49082017-04-011110.23889/ijpds.v1i1.322322Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank dataMichail Katsoulis0Spiros Denaxas1Riyaz Patel2Harry Hemingway3UCL/ Farr Institute of Health Informatics ResearchUCL/ Farr Institute of Health Informatics ResearchUCL/ Farr Institute of Health Informatics ResearchUCL/ Farr Institute of Health Informatics ResearchABSTRACT Objectives We used data from UK-Biobank that were linked with Hospital Episode Statistics and Office for National Statistics to assess the relationship between low-density lipoprotein cholesterol (LDL-C) and atrial fibrillation (AF). In this study, we applied Mendelian randomization in order to find out whether there is a causal effect of LDL-C to AF. Approach We used data from the UK Biobank (~500,000 subjects) which is linked with electronic health records. At baseline (2006-2010), participants from across the UK took part in this project. They have undergone measures, provided blood, urine and saliva samples for future analysis, detailed information about themselves and agreed to have their health followed. Information in relation to the development of atrial fibrillation was derived from a) the enrollment of the participants (self-reported events), b) their hospitalization before and after their recruitment to UK-Biobank (confirmed events from Hospital Episode Statistics) and c) the death certificates [confirmed events from Office for National Statistics]. We also used genetic data from the analyses of the participants’ blood sample that have been stored. We used Mendelian randomization to capture the effect of LDL-C to AF. As instruments, we used a genetic predisposition risk score (GPRs) for LDL-C, which was created as a weighted sum of the 18 most significant SNPs related to LDL-C, as there were documented in Global Lipid Consortium, in 18 out of 22 chromosomes. We ran a logistic regression model, using AF as outcome and GPRs as exposure. Results Our final sample consisted of 144,092 individuals, for which we have valid information for their genetic data. The AF cases in this sample were 3207, most of which were identified from Hospital Episode Statistics (hospitalization of the participants). From the Mendelian randomization study, from our preliminary results, we found a weak positive relationship between GPRs and AF, when we did not adjust for any covariate [OR per one unit increase of GPRs=1.08, 95% CI= (0.95-1.22)] and results remained practically the same when we adjusted for age and sex [OR=1.09, 95% CI= (0.96-1.24 )]. Conclusion We observed a weak positive association between LDL-C and AF in this study. This is the first Mendelian randomization approach that focuses on this relationship. More Mendelian randomization studies should be performed in order to identify the causal effect of LDL-C to AF. The use of electronic health records will facilitate the conduction of similar studies.https://ijpds.org/article/view/322 |
| spellingShingle | Michail Katsoulis Spiros Denaxas Riyaz Patel Harry Hemingway Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data International Journal of Population Data Science |
| title | Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data |
| title_full | Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data |
| title_fullStr | Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data |
| title_full_unstemmed | Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data |
| title_short | Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data |
| title_sort | low density lipoprotein cholesterol and atrial fibrillation a mendelian randomization study using uk biobank data |
| url | https://ijpds.org/article/view/322 |
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