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. 2023 Sep 25;29(10):2643–2655. doi: 10.1038/s41591-023-02553-8

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© The Author(s) 2023, corrected publication 2024

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/.

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Extended Data Fig. 1 — Forest plot of association (estimates ± 95% c.i.) between PNPLA3 p.I148M, TM6SF2 p.E167K, MBOAT7-TMC4 rs641738 C > G and GPT p.R107K variants with sex on ALT levels in individuals in UKBB Cohort (n = 347,127) stratified by sex and menopause status. The impact of the variant was estimated by ordinal, logistic or generalized linear regression models, where appropriate under an additive genetic model for the different genetic variants, and were adjusted for age, BMI, T2D and recruitment modality. The impact of the variant was estimated by generalized linear regression models, under an additive genetic model for the PNPLA3 variant, and were adjusted for age, BMI, T2D and recruitment modality.