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An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses
BACKGROUND: Micronutrients, namely vitamins and minerals, are associated with cancer outcomes; however, their reported effects have been inconsistent across studies. We aimed to identify the causally estimated effects of micronutrients on cancer by applying the Mendelian randomization (MR) method, u...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441703/ https://www.ncbi.nlm.nih.gov/pubmed/37605270 http://dx.doi.org/10.1186/s12916-023-03018-y |
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author | Kim, Jong Yeob Song, Minku Kim, Min Seo Natarajan, Pradeep Do, Ron Myung, Woojae Won, Hong-Hee |
author_facet | Kim, Jong Yeob Song, Minku Kim, Min Seo Natarajan, Pradeep Do, Ron Myung, Woojae Won, Hong-Hee |
author_sort | Kim, Jong Yeob |
collection | PubMed |
description | BACKGROUND: Micronutrients, namely vitamins and minerals, are associated with cancer outcomes; however, their reported effects have been inconsistent across studies. We aimed to identify the causally estimated effects of micronutrients on cancer by applying the Mendelian randomization (MR) method, using single-nucleotide polymorphisms associated with micronutrient levels as instrumental variables. METHODS: We obtained instrumental variables of 14 genetically predicted micronutrient levels and applied two-sample MR to estimate their causal effects on 22 cancer outcomes from a meta-analysis of the UK Biobank (UKB) and FinnGen cohorts (overall cancer and 21 site-specific cancers, including breast, colorectal, lung, and prostate cancer), in addition to six major cancer outcomes and 20 cancer subset outcomes from cancer consortia. We used sensitivity MR methods, including weighted median, MR-Egger, and MR-PRESSO, to assess potential horizontal pleiotropy or heterogeneity. Genome-wide association summary statistical data of European descent were used for both exposure and outcome data, including up to 940,633 participants of European descent with 133,384 cancer cases. RESULTS: In total, 672 MR tests (14 micronutrients × 48 cancer outcomes) were performed. The following two associations met Bonferroni significance by the number of associations (P < 0.00016) in the UKB plus FinnGen cohorts: increased risk of breast cancer with magnesium levels (odds ratio [OR] = 1.281 per 1 standard deviation [SD] higher magnesium level, 95% confidence interval [CI] = 1.151 to 1.426, P < 0.0001) and increased risk of colorectal cancer with vitamin B12 level (OR = 1.22 per 1 SD higher vitamin B12 level, 95% CI = 1.107 to 1.345, P < 0.0001). These two associations remained significant in the analysis of the cancer consortia. No significant heterogeneity or horizontal pleiotropy was observed. Micronutrient levels were not associated with overall cancer risk. CONCLUSIONS: Our results may aid clinicians in deciding whether to regulate the intake of certain micronutrients, particularly in high-risk groups without nutritional deficiencies, and may help in the design of future clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03018-y. |
format | Online Article Text |
id | pubmed-10441703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104417032023-08-22 An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses Kim, Jong Yeob Song, Minku Kim, Min Seo Natarajan, Pradeep Do, Ron Myung, Woojae Won, Hong-Hee BMC Med Research Article BACKGROUND: Micronutrients, namely vitamins and minerals, are associated with cancer outcomes; however, their reported effects have been inconsistent across studies. We aimed to identify the causally estimated effects of micronutrients on cancer by applying the Mendelian randomization (MR) method, using single-nucleotide polymorphisms associated with micronutrient levels as instrumental variables. METHODS: We obtained instrumental variables of 14 genetically predicted micronutrient levels and applied two-sample MR to estimate their causal effects on 22 cancer outcomes from a meta-analysis of the UK Biobank (UKB) and FinnGen cohorts (overall cancer and 21 site-specific cancers, including breast, colorectal, lung, and prostate cancer), in addition to six major cancer outcomes and 20 cancer subset outcomes from cancer consortia. We used sensitivity MR methods, including weighted median, MR-Egger, and MR-PRESSO, to assess potential horizontal pleiotropy or heterogeneity. Genome-wide association summary statistical data of European descent were used for both exposure and outcome data, including up to 940,633 participants of European descent with 133,384 cancer cases. RESULTS: In total, 672 MR tests (14 micronutrients × 48 cancer outcomes) were performed. The following two associations met Bonferroni significance by the number of associations (P < 0.00016) in the UKB plus FinnGen cohorts: increased risk of breast cancer with magnesium levels (odds ratio [OR] = 1.281 per 1 standard deviation [SD] higher magnesium level, 95% confidence interval [CI] = 1.151 to 1.426, P < 0.0001) and increased risk of colorectal cancer with vitamin B12 level (OR = 1.22 per 1 SD higher vitamin B12 level, 95% CI = 1.107 to 1.345, P < 0.0001). These two associations remained significant in the analysis of the cancer consortia. No significant heterogeneity or horizontal pleiotropy was observed. Micronutrient levels were not associated with overall cancer risk. CONCLUSIONS: Our results may aid clinicians in deciding whether to regulate the intake of certain micronutrients, particularly in high-risk groups without nutritional deficiencies, and may help in the design of future clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03018-y. BioMed Central 2023-08-21 /pmc/articles/PMC10441703/ /pubmed/37605270 http://dx.doi.org/10.1186/s12916-023-03018-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Kim, Jong Yeob Song, Minku Kim, Min Seo Natarajan, Pradeep Do, Ron Myung, Woojae Won, Hong-Hee An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses |
title | An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses |
title_full | An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses |
title_fullStr | An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses |
title_full_unstemmed | An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses |
title_short | An atlas of associations between 14 micronutrients and 22 cancer outcomes: Mendelian randomization analyses |
title_sort | atlas of associations between 14 micronutrients and 22 cancer outcomes: mendelian randomization analyses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441703/ https://www.ncbi.nlm.nih.gov/pubmed/37605270 http://dx.doi.org/10.1186/s12916-023-03018-y |
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