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Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals
BACKGROUND: High milk intake has been associated with cardio-metabolic risk. We conducted a Mendelian Randomization (MR) study to obtain evidence for the causal relationship between milk consumption and cardio-metabolic traits using the lactase persistence (LCT-13910 C > T, rs4988235) variant as...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310799/ https://www.ncbi.nlm.nih.gov/pubmed/34024907 http://dx.doi.org/10.1038/s41366-021-00841-2 |
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author | Vimaleswaran, Karani Santhanakrishnan Zhou, Ang Cavadino, Alana Hyppönen, Elina |
author_facet | Vimaleswaran, Karani Santhanakrishnan Zhou, Ang Cavadino, Alana Hyppönen, Elina |
author_sort | Vimaleswaran, Karani Santhanakrishnan |
collection | PubMed |
description | BACKGROUND: High milk intake has been associated with cardio-metabolic risk. We conducted a Mendelian Randomization (MR) study to obtain evidence for the causal relationship between milk consumption and cardio-metabolic traits using the lactase persistence (LCT-13910 C > T, rs4988235) variant as an instrumental variable. METHODS: We tested the association of LCT genotype with milk consumption (for validation) and with cardio-metabolic traits (for a possible causal association) in a meta-analysis of the data from three large-scale population-based studies (1958 British Birth Cohort, Health and Retirement study, and UK Biobank) with up to 417,236 participants and using summary statistics from consortia meta-analyses on intermediate traits (N = 123,665–697,307) and extended to cover disease endpoints (N = 86,995–149,821). RESULTS: In the UK Biobank, carriers of ‘T’ allele of LCT variant were more likely to consume milk (P = 7.02 × 10(−14)). In meta-analysis including UK Biobank, the 1958BC, the HRS, and consortia-based studies, under an additive model, ‘T’ allele was associated with higher body mass index (BMI) (P(meta-analysis) = 4.68 × 10(−12)) and lower total cholesterol (TC) (P = 2.40 × 10(−36)), low-density lipoprotein cholesterol (LDL-C) (P = 2.08 × 10(−26)) and high-density lipoprotein cholesterol (HDL-C) (P = 9.40 × 10(−13)). In consortia meta-analyses, ‘T’ allele was associated with a lower risk of coronary artery disease (OR:0.86, 95% CI:0.75–0.99) but not with type 2 diabetes (OR:1.06, 95% CI:0.97–1.16). Furthermore, the two-sample MR analysis showed a causal association between genetically instrumented milk intake and higher BMI (P = 3.60 × 10(−5)) and body fat (total body fat, leg fat, arm fat and trunk fat; P < 1.37 × 10(−6)) and lower LDL-C (P = 3.60 × 10(−6)), TC (P = 1.90 × 10(−6)) and HDL-C (P = 3.00 × 10(−5)). CONCLUSIONS: Our large-scale MR study provides genetic evidence for the association of milk consumption with higher BMI but lower serum cholesterol levels. These data suggest no need to limit milk intakes with respect to cardiovascular disease risk, with the suggested benefits requiring confirmation in further studies. |
format | Online Article Text |
id | pubmed-8310799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83107992021-08-12 Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals Vimaleswaran, Karani Santhanakrishnan Zhou, Ang Cavadino, Alana Hyppönen, Elina Int J Obes (Lond) Article BACKGROUND: High milk intake has been associated with cardio-metabolic risk. We conducted a Mendelian Randomization (MR) study to obtain evidence for the causal relationship between milk consumption and cardio-metabolic traits using the lactase persistence (LCT-13910 C > T, rs4988235) variant as an instrumental variable. METHODS: We tested the association of LCT genotype with milk consumption (for validation) and with cardio-metabolic traits (for a possible causal association) in a meta-analysis of the data from three large-scale population-based studies (1958 British Birth Cohort, Health and Retirement study, and UK Biobank) with up to 417,236 participants and using summary statistics from consortia meta-analyses on intermediate traits (N = 123,665–697,307) and extended to cover disease endpoints (N = 86,995–149,821). RESULTS: In the UK Biobank, carriers of ‘T’ allele of LCT variant were more likely to consume milk (P = 7.02 × 10(−14)). In meta-analysis including UK Biobank, the 1958BC, the HRS, and consortia-based studies, under an additive model, ‘T’ allele was associated with higher body mass index (BMI) (P(meta-analysis) = 4.68 × 10(−12)) and lower total cholesterol (TC) (P = 2.40 × 10(−36)), low-density lipoprotein cholesterol (LDL-C) (P = 2.08 × 10(−26)) and high-density lipoprotein cholesterol (HDL-C) (P = 9.40 × 10(−13)). In consortia meta-analyses, ‘T’ allele was associated with a lower risk of coronary artery disease (OR:0.86, 95% CI:0.75–0.99) but not with type 2 diabetes (OR:1.06, 95% CI:0.97–1.16). Furthermore, the two-sample MR analysis showed a causal association between genetically instrumented milk intake and higher BMI (P = 3.60 × 10(−5)) and body fat (total body fat, leg fat, arm fat and trunk fat; P < 1.37 × 10(−6)) and lower LDL-C (P = 3.60 × 10(−6)), TC (P = 1.90 × 10(−6)) and HDL-C (P = 3.00 × 10(−5)). CONCLUSIONS: Our large-scale MR study provides genetic evidence for the association of milk consumption with higher BMI but lower serum cholesterol levels. These data suggest no need to limit milk intakes with respect to cardiovascular disease risk, with the suggested benefits requiring confirmation in further studies. Nature Publishing Group UK 2021-05-24 2021 /pmc/articles/PMC8310799/ /pubmed/34024907 http://dx.doi.org/10.1038/s41366-021-00841-2 Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Vimaleswaran, Karani Santhanakrishnan Zhou, Ang Cavadino, Alana Hyppönen, Elina Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals |
title | Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals |
title_full | Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals |
title_fullStr | Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals |
title_full_unstemmed | Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals |
title_short | Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals |
title_sort | evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample mendelian randomization analysis in up to 1,904,220 individuals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310799/ https://www.ncbi.nlm.nih.gov/pubmed/34024907 http://dx.doi.org/10.1038/s41366-021-00841-2 |
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