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Diabetologia
Diabetologia
Diabetologia
0012-186X
1432-0428
Springer Berlin Heidelberg Berlin/Heidelberg

38949672
6168
10.1007/s00125-024-06168-7
Correction
Correction: Investigating the causal relationships between excess adiposity and cardiometabolic health in men and women
http://orcid.org/0000-0003-2626-1703
Mutie Pascal M. 1
Pomares-Millan Hugo 1
Atabaki-Pasdar Naeimeh 1
Coral Daniel 1
Fitipaldi Hugo 1
Tsereteli Neli 1
Tajes Juan Fernandez 1
http://orcid.org/0000-0002-0520-7604
Franks Paul W. paul.franks@med.lu.se

12
Giordano Giuseppe N. 1
1 https://ror.org/012a77v79 grid.4514.4 0000 0001 0930 2361 Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Lund, Sweden
2 grid.38142.3c 000000041936754X Harvard T.H. Chan School of Public Health, Boston, MA USA
1 7 2024
1 7 2024
2024
67 9 20152015
© The Author(s) 2024
2024
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/.
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pmc Correction: Diabetologia (2022) 66:321-335

10.1007/s00125-022-05811-5

The original non-linear Mendelian randomisation approach used in this analysis, known as the ‘residual’ method [1], relies on the strong parametric assumptions of linearity and homogeneity between the genetic instrument and the exposure across strata of the exposure [2]. There have been reports that these assumptions were frequently violated [2, 3]. In response, the authors of the method [2] introduced the ‘doubly-ranked’ approach, implemented in a new R package, ‘SUMnlmr’ (https://github.com/amymariemason/SUMnlmr). We used this new approach to re-analyse our data, finding no evidence of non-linear causal relationships between BMI and chronic kidney disease (CKD) in either sex. We did find evidence of non-linear causal relationships between BMI and type 2 diabetes, blood glucose levels, HbA1c and all tested lipid fractions in unstratified analyses. In sex-specific analyses, we found significant non-linear associations between BMI and HbA1c in both sexes, and with type 2 diabetes, glucose, HDL-cholesterol and triacylglycerols only in men. The original article has been corrected to reflect the revised methodology; new data are shown in Figs 2 and 3, Table 4 and ESM Fig. 7.

In addition, the spelling of Hugo Pomares-Millan’s name has been corrected.

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References

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