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 individualsVimaleswaran, K. S. ORCID: https://orcid.org/0000-0002-8485-8930, Zhou, A., Cavadina, A. and Hyppönen, E. (2021) 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. International Journal of Obesity, 45. pp. 1751-1762. ISSN 1476-5497
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1038/s41366-021-00841-2 Abstract/SummaryBackground: 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 to 697,307) and extended to cover disease endpoints (N=86,995 to 149,821). Results: In the UK Biobank, carriers of ‘T’ allele of LCT variant were more likely to consume milk (P=7.02x10-14). 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) (Pmeta-analysis=4.68x10-12) and lower total cholesterol (TC) (P=2.40x10-36), low-density lipoprotein cholesterol (LDL-C) (P=2.08x10-26) and high-density lipoprotein cholesterol (HDL-C) (P=9.40x10-13). 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=3.60x10-5) and body fat (total body fat, leg fat, arm fat and trunk fat; P<1.37x10-6) and lower LDL-C (P=3.60x10-6), TC (P=1.90x10-6) and HDL-C (P=3.00x10-5). 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.
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