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Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study
BACKGROUND: Vitamin D deficiency has been associated with type 1 diabetes in observational studies, but evidence from randomized controlled trials (RCTs) is lacking. The aim of this study was to test whether genetically decreased vitamin D levels are causally associated with type 1 diabetes using Me...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906317/ https://www.ncbi.nlm.nih.gov/pubmed/33630834 http://dx.doi.org/10.1371/journal.pmed.1003536 |
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author | Manousaki, Despoina Harroud, Adil Mitchell, Ruth E. Ross, Stephanie Forgetta, Vince Timpson, Nicholas J. Smith, George Davey Polychronakos, Constantin Richards, J Brent |
author_facet | Manousaki, Despoina Harroud, Adil Mitchell, Ruth E. Ross, Stephanie Forgetta, Vince Timpson, Nicholas J. Smith, George Davey Polychronakos, Constantin Richards, J Brent |
author_sort | Manousaki, Despoina |
collection | PubMed |
description | BACKGROUND: Vitamin D deficiency has been associated with type 1 diabetes in observational studies, but evidence from randomized controlled trials (RCTs) is lacking. The aim of this study was to test whether genetically decreased vitamin D levels are causally associated with type 1 diabetes using Mendelian randomization (MR). METHODS AND FINDINGS: For our two-sample MR study, we selected as instruments single nucleotide polymorphisms (SNPs) that are strongly associated with 25-hydroxyvitamin D (25OHD) levels in a large vitamin D genome-wide association study (GWAS) on 443,734 Europeans and obtained their corresponding effect estimates on type 1 diabetes risk from a large meta-analysis of 12 type 1 diabetes GWAS studies (Ntot = 24,063, 9,358 cases, and 15,705 controls). In addition to the main analysis using inverse variance weighted MR, we applied 3 additional methods to control for pleiotropy (MR-Egger, weighted median, and mode-based estimate) and compared the respective MR estimates. We also undertook sensitivity analyses excluding SNPs with potential pleiotropic effects. We identified 69 lead independent common SNPs to be genome-wide significant for 25OHD, explaining 3.1% of the variance in 25OHD levels. MR analyses suggested that a 1 standard deviation (SD) decrease in standardized natural log-transformed 25OHD (corresponding to a 29-nmol/l change in 25OHD levels in vitamin D–insufficient individuals) was not associated with an increase in type 1 diabetes risk (inverse-variance weighted (IVW) MR odds ratio (OR) = 1.09, 95% CI: 0.86 to 1.40, p = 0.48). We obtained similar results using the 3 pleiotropy robust MR methods and in sensitivity analyses excluding SNPs associated with serum lipid levels, body composition, blood traits, and type 2 diabetes. Our findings indicate that decreased vitamin D levels did not have a substantial impact on risk of type 1 diabetes in the populations studied. Study limitations include an inability to exclude the existence of smaller associations and a lack of evidence from non-European populations. CONCLUSIONS: Our findings suggest that 25OHD levels are unlikely to have a large effect on risk of type 1 diabetes, but larger MR studies or RCTs are needed to investigate small effects. |
format | Online Article Text |
id | pubmed-7906317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79063172021-03-03 Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study Manousaki, Despoina Harroud, Adil Mitchell, Ruth E. Ross, Stephanie Forgetta, Vince Timpson, Nicholas J. Smith, George Davey Polychronakos, Constantin Richards, J Brent PLoS Med Research Article BACKGROUND: Vitamin D deficiency has been associated with type 1 diabetes in observational studies, but evidence from randomized controlled trials (RCTs) is lacking. The aim of this study was to test whether genetically decreased vitamin D levels are causally associated with type 1 diabetes using Mendelian randomization (MR). METHODS AND FINDINGS: For our two-sample MR study, we selected as instruments single nucleotide polymorphisms (SNPs) that are strongly associated with 25-hydroxyvitamin D (25OHD) levels in a large vitamin D genome-wide association study (GWAS) on 443,734 Europeans and obtained their corresponding effect estimates on type 1 diabetes risk from a large meta-analysis of 12 type 1 diabetes GWAS studies (Ntot = 24,063, 9,358 cases, and 15,705 controls). In addition to the main analysis using inverse variance weighted MR, we applied 3 additional methods to control for pleiotropy (MR-Egger, weighted median, and mode-based estimate) and compared the respective MR estimates. We also undertook sensitivity analyses excluding SNPs with potential pleiotropic effects. We identified 69 lead independent common SNPs to be genome-wide significant for 25OHD, explaining 3.1% of the variance in 25OHD levels. MR analyses suggested that a 1 standard deviation (SD) decrease in standardized natural log-transformed 25OHD (corresponding to a 29-nmol/l change in 25OHD levels in vitamin D–insufficient individuals) was not associated with an increase in type 1 diabetes risk (inverse-variance weighted (IVW) MR odds ratio (OR) = 1.09, 95% CI: 0.86 to 1.40, p = 0.48). We obtained similar results using the 3 pleiotropy robust MR methods and in sensitivity analyses excluding SNPs associated with serum lipid levels, body composition, blood traits, and type 2 diabetes. Our findings indicate that decreased vitamin D levels did not have a substantial impact on risk of type 1 diabetes in the populations studied. Study limitations include an inability to exclude the existence of smaller associations and a lack of evidence from non-European populations. CONCLUSIONS: Our findings suggest that 25OHD levels are unlikely to have a large effect on risk of type 1 diabetes, but larger MR studies or RCTs are needed to investigate small effects. Public Library of Science 2021-02-25 /pmc/articles/PMC7906317/ /pubmed/33630834 http://dx.doi.org/10.1371/journal.pmed.1003536 Text en © 2021 Manousaki et al http://creativecommons.org/licenses/by/4.0/ 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Manousaki, Despoina Harroud, Adil Mitchell, Ruth E. Ross, Stephanie Forgetta, Vince Timpson, Nicholas J. Smith, George Davey Polychronakos, Constantin Richards, J Brent Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study |
title | Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study |
title_full | Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study |
title_fullStr | Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study |
title_full_unstemmed | Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study |
title_short | Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study |
title_sort | vitamin d levels and risk of type 1 diabetes: a mendelian randomization study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906317/ https://www.ncbi.nlm.nih.gov/pubmed/33630834 http://dx.doi.org/10.1371/journal.pmed.1003536 |
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